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Two open postdoc positions in Rutledge Lab at Yale
by Rutledge, Robb 18 Sep '20

18 Sep '20

The Rutledge Lab in the Department of Psychology at Yale is accepting applications from prospective postdocs for 3-year postdoc positions with a flexible start date. Our lab uses computational models to study reinforcement learning, decision making, and affective states like happiness. We explore these questions using a combination of brain scanning, pharmacology, and large-scale smartphone-based experiments in healthy and clinical populations. Our previous app The Great Brain Experiment had over 100,000 users. We are looking for postdocs for a NIMH-funded project using longitudinal smartphone-based data collection with tasks and surveys in people with depression and control participants (N>600) including a subset (N>200) with fMRI data. Collaborators for rsfMRI: Avram Holmes (Yale), Faith Gunning and Conor Liston (Cornell Weill) Machine learning: Zeb Kurth-Nelson (DeepMind) Clinical and longitudinal: Akshay Nair (UCL), John Krystal, Leying Guan and Ralitza Gueorguieva (Yale) Further details can be found on our website (www.rutledgelab.org) Interested applicants are encouraged to contact Dr Rutledge directly (robb.rutledge(a)yale.edu) with a CV, a brief description of research interests, and a list of three references (names and email addresses).

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Registration, abstracts - Brain Criticality Virtual Meeting October 6 – 9 2020
by Plenz, Dietmar (NIH/NIMH) [E] 17 Sep '20

17 Sep '20

Brain Criticality Virtual Meeting October 6 – 9 2020 https://braincriticality.org/ Organizers: Dietmar Plenz, Lucilla de Arcangelis, Dante Chialvo, Demian Battaglia This meeting intends to gather recent contributions in the field of systems neuroscience, with the purpose of further discussing the role of criticality and its implications in the dynamics of large neuronal populations, functional and structural connectivity, development and learning, robustness of system operation. Recent advances in selective recording and perturbation approaches involving large populations of neurons offer unique opportunities to test these predictions, challenge current interpretations of large data sets and trigger novel theoretical developments. The meeting will take place virtually. Registration is free but limited and allows interactively participating to discussions and submitting contributed abstracts. A free live streaming will also be offered. Deadline for registration is October 2nd, 2020 Abstracts submitted before Sunday September 27th will be considered for spotlight oral presentation. Remaining abstracts will be presented as virtual posters Follow us on FaceBook https://www.facebook.com/BrainCriticalityorg-121887946321170 Twitter https://twitter.com/brain_crit

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Postdoc positions in Neural Control of Speech Production, Massachusetts General Hospital and Harvard Medical School.
by Bush, Alan 17 Sep '20

17 Sep '20

The Brain Modulation Laboratory (www.brainmodulationlab.org<https://www.brainmodulationlab.org/>) within the Department of Neurosurgery at Massachusetts General Hospital and Harvard Medical School, headed Dr. Mark Richardson, seeks to recruit a highly motivated and outstanding candidate to fill a postdoctoral associate position. This 3 to 5-year position is funded through a recently awarded NIH-NINDS U01 grant to Principal Investigator Mark Richardson, MD, PhD. The successful candidate will work in a highly interdisciplinary team, studying the role of cortical-basal ganglia networks during speech production, based on the analysis of intra operative local field potential and micro-electrode recording data acquired in the context of Deep Brain Stimulation implantation surgery. Co-investigators include Frank Guenther (BU), Nathan Crone (Johns Hopkins), Lori Holt (CMU), Julie Fiez (Pitt), and Rob Turner (Pitt). Experience in electrophysiology, speech comprehension and/or production research, and a solid background in computational neuroscience is required. Interested applicants please use following link https://neurojobs.sfn.org/job/27234/post-doctoral-associate/ Project Summary: Modulating how we speak is critical for effective communication. The production and modulation of speech, like other behaviors, relies on basal ganglia-thalamocortical networks, not merely on cortical processes. Current knowledge about how the basal ganglia modulate speech, however, is primarily theoretical, due to a lack of empirical data. Theoretical models for speech production, in turn, remain underdeveloped. Notably, no models of speech production include the subthalamic nucleus (STN), a basal ganglia node that has been implicated in multiple cognitive processes relevant to speech production (e.g. action selection/suppression, gain modulation, and motor learning). Using access to the brain that can only be provided by deep brain stimulation (DBS) surgery, we initiated studies to understand how motor speech information is encoded within the STN-cortical network. We established a novel experimental paradigm to simultaneously record primary motor electrocorticography (ECoG) and STN activity in subjects who are awake and speaking. In our initial project, we discovered separate populations of STN neurons whose inhibition or excitation was selective for either speech planning or production, respectively [1]. We also found that STN population activity tracks with specific articulatory motor features and with vocal gain adjustment [2]. Our discoveries indicate multiple roles for STN activity in speech planning and modulation, consistent with nonhuman primate data that STN neurons are functionally diverse and that the STN is innervated broadly from cortical areas critical for speech production in humans. We propose to build on our foundational results by exploring how a broader cortical-STN network participates in speech production. Specifically, we have developed a protocol for simultaneous recording of high-density ECoG from the inferior frontal gyrus (IFG), ventral sensorimotor cortex (vSMC), superior temporal gyrus (STG) and the STN. Our preliminary data support the hypothesis that these cortical speech areas communicate with the basal ganglia not only through cortical-striatal direct and indirect pathways, but also through a hyperdirect pathway to STN. These findings include the STG, consistent with evidence for basal ganglia participation in auditory processing. To uncover seminal knowledge about how cortical-basal ganglia dynamics shape speech, we will use intracranial electrophysiology to define the connectivity of speech-related cortex to the STN, while evaluating the role of cortical-STN and cortical-GPi dynamics in two basal ganglia functions critical for speech: motor sequence learning and gain modulation. Our invasive human neuroscience approach is unique in its ability to define, for the first time, a broad cortical-basal ganglia network for modulating speech. Establishing a neurobiological framework for cortical-basal ganglia network control of these processes will represent an order of magnitude change in our understanding of mechanisms for modulating speech, in turn informing how we model the dynamics of other human behaviors modulated by the basal ganglia. 1. Lipski, W. J. et al. Subthalamic Nucleus Neurons Differentially Encode Early and Late Aspects of Speech Production. Journal of Neuroscience 38, 5620–5631 (2018). 2. Chrabaszcz, A. et al. Subthalamic nucleus and sensorimotor cortex activity during speech production. The Journal of Neuroscience 2842–18 (2019). doi:10.1523/JNEUROSCI.2842-18.2019 Alan Bush, PhD Research Scientist, Department of Neurosurgery, Massachusetts General Hospital. Instructor, Harvard Medical School. 55 Fruit Street, Thier 429 | Boston, MA 02114 The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at http://www.massgeneralbrigham.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.

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Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland)
by Milekovic Tomislav 16 Sep '20

16 Sep '20

Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson’s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist – Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen
by Compsens 16 Sep '20

16 Sep '20

PhD Student / Postdoc positions in Theoretical Neuroscience, Hertie Institute for Clinical Brain Research / Center for Integrative Neuroscience, University of Tübingen The positions are part of the ERC-Synergy grant RELEVANCE that investigates the neural and computational processing of bodies, which is realized in collaboration with the Universities of Leuven and Maastricht. The project aims at the investigation of the computational neural mechanisms of the visual processing of social stimuli, combining theoretical modeling with experimental research in physiology and imaging in humans as well as in animal models (realized by the other partners). The theoretical work will combine neural network modeling, machine learning, and advanced methods for stimulus control from computer graphics. We are looking for individuals with an interest, or possibly even partial expertise in one or multiple of the following areas: - physiologically-inspired neural modeling or neural data analysis - deep learning, biologically-inspired neural networks - machine learning with applications in cognitive science - motion capture and tracking - computer animation, virtual reality, game engines (e.g. Unreal, Unity) In addition, we are looking for individuals with interest to develop computer-animation or virtual reality technology for non-standard applications. Successful students / postdocs will be integrated in the research taking place in the Section for Computational Sensomotorics (http://www.compsens.uni-tuebingen.de/) which is part of the Dept. of Cognitive Neurology. The group works on neural modeling, machine learning techniques related to social recognition, computer animation, and human motion modeling, e.g. realizing highly-realistic avatars and VR applications for experiments in neuroscience and clinical research. The group is part of the CyberValley initiative (https://cyber-valley.de/) that links groups related to machine learning and industry applications in Tübingen. Talented students will have the opportunity to pursue a PhD in the International Max Planck Research Schools or for ‘Mechanisms of Mental Function and Dysfunction’ at the Graduate Training Center for Neuroscience (https://www.neuroschool-tuebingen.de/) or at the International Max Planck Research School for Intelligent Systems (https://imprs.is.mpg.de/) Requirements: Candidates should have a (research) master degree in one of the following disciplines: (Biomedical) Engineering, Computer Science, (Cognitive) Neuroscience, Mathematics, Physics, or Computer Animation/Visual Effects. In addition to these requirements, candidates should have a theoretical interest in the area of visual neuroscience, and experience with scientific programming (Matlab, Python, or any other language), as well as basic programing languages such as C++. Additional information: Section for Computational Sensomotorics, Dept. for Cognitive Neurology, Hertie Institute for Clinical Brain Research & Centre for Integrative Neuroscience, University Clinic Tübingen. Email: martin.giese(a)uni-tuebingen.de. Web: http://www.compsens.uni-tuebingen.de/

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Postrdoc & PhD Positions in Human Multisensory Perception, Action & Learning, Ulm Germany
by Marc Ernst 16 Sep '20

16 Sep '20

The Applied Cognitive Psychology Group at Ulm University, Germany headed by Prof. Marc Ernst is inviting applications for a research position on human multisensory perception, action and learning. The positions will be embedded in a highly interdisciplinary, international research group lead by Prof. Marc Ernst, who recently started a new group in the Faculty for Engineering, Computer Science, and Psychology at Ulm University. The focus of the group is on multisensory perception (with a focus on active audition, touch and vision), sensorimotor integration, perceptual learning, joint action and crowed behaviour and its applications to HCI. For their experimental work the group is predominantly relying on behavioral methods from psychophysics and experimental psychology. For this there are many state-of-the-art virtual reality and HCI setups available, including different projection systems for visual stimulation, force feedback and robotic devices including tactile displays for work on the human haptic system, a noise attenuation camber with an active audio setup for work on the auditory system and two unique treadmill setups for studies on human locomotion and navigation. Additionally there are several eye- and motion tracking systems available for the recording of human behavioural data. The groups has a strong focus on the modeling of human behaviour, relying heavily on the Bayesian Framework and the development of ideal observer models. Tow of these positions are funded by recent grant on navigation and crowed behaviour. Research and teaching is all in English. The successful candidate should have a background in psychology, cognitive science, computer science, or some neuroscience related field. Some modelling and programming experience is advantageous. Salary is according to German Public Service regulations and the positions are available immediately. Applications will be considered until the positions are filled. The application should include a cover letter stating the candidates research interests, curriculum vita, reprints (if available), and names of three referees. Electronic submission is preferred. All the best, --------------------------------------------------------- Prof. Dr. Marc Ernst Appl. Cognitive Psychology Faculty for Computer Science, Engineering, and Psychology Ulm University Albert-Einstein-Allee 43 89081 Ulm room: 43.3.103 phone: +49-731-50 320 50 sekr: +49-731-50 320 51 fax: +49-731-50 320 59 mobile: +49-152-22 543 156 marc.ernst(a)uni-ulm.de <mailto:marc.ernst@uni-ulm.de>

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computational neuroscience phd opportunities with Dan Goodman, Imperial College
by Dan Goodman 15 Sep '20

15 Sep '20

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London. I am interested in supervising students with a strong mathematical, computational or neuroscience background. There is no deadline, and applications will be considered as they arrive, but earlier applications typically have a higher chance of getting a funded place, and EU applicants in particular should apply immediately (see note below). At the moment, the main research direction in the group is in applying methods from machine learning to models with a more biological flavour than the artificial neural networks typically studied in machine learning. This could include neurons with temporal dynamics, spiking neurons, etc. The aim is to use machine learning methods to find biologically relevant insights. To get a feel for this sort of work, you might be interested in seeing some of the recorded talks <https://www.youtube.com/watch?v=5SrEycIbfRE&list=PL09WqqDbQWHFvM9DFYkM_Gfnr…> from a recent workshop I organised. However, our group has a fairly diverse range of interests and I am very happy to receive applications on a wider variety of topics than this (including theory of neural processing, auditory and other sensory systems, and simulation and data analysis). If you are interested in applying, please see the detailed instructions on my website: http://neural-reckoning.org/openings.html <http://neural-reckoning.org/openings.html> *Note on Brexit.* EU students starting a PhD in 2020-21 will still have the right to study in the UK, and be eligible for UK fee status and for financial support for the full duration of their course. However, the last opportunity for a funded place starting in the 2020-21 academic year will be a funding panel to take place in late October 2020, so EU candidates should get applications in as soon as possible, and please include a note in your email to me to make clear you are an EU candidate. Dan Goodman

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Post-doctoral position at the University of Manchester
by Riccardo Storchi 15 Sep '20

15 Sep '20

We seek a passionate, self-motivated scientist to undertake the project “Action in Vision” aimed at understanding how motor actions affect visual processing. The successful candidate will have an established track record in computational biology, up-to-date programming skills and a strong passion for system neuroscience. Previous experiences in performing and/or analysing electrophysiological and behavioural data or in computer vision are desirable. The successful candidate will work with high density electrophysiological data from freely moving mice [1] and three-dimensional reconstruction of their natural behaviours [2]. The successful candidate will also be involved in the designing of the experiments. The post offers a great opportunity to work in an exciting field of neuroscience aimed at understanding sensory processing in natural unrestricted conditions. At the University of Manchester, the successful candidates will find themselves immersed in a collaborative, friendly and multidisciplinary environment with several labs working on fundamental research on sensory processing (vision, touch), memory and behaviour. The post, starting in January 2021, is for 2 years and potentially renewable for up to a total of 5 years. Informal enquiries can be made to Riccardo Storchi Tel: 0161 275 5050 Email *riccardo.storchi(a)manchester.ac.uk <riccardo.storchi(a)manchester.ac.uk>* *References: * [1] Storchi et al (2017) Neuron, 93(2):299-307. PMID: 28103478 [2] Storchi et al (2020) Current Biology, *in press*. See pre-print at: https://www.biorxiv.org/content/10.1101/2020.02.24.961565v3

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Ph.D. student position in computational neuroscience
by Tuomo Mäki-Marttunen 15 Sep '20

15 Sep '20

We are looking for a highly motivated and talented Ph.D. student to work on biophysically and biochemically detailed neuron modelling. The position is fully funded, starting Jan 1st 2021 or as mutually agreed and lasting 3-4 years. Please send your application by 25th October. *Job description* The Ph.D. student is expected to work on computational modelling of mental disorder-linked disease phenotypes and their genetic mechanisms. The student will use and extend existing biophysically and biochemically detailed neuron models to study the disease mechanisms of schizophrenia. A specific aim of the Ph.D. project is to further the mechanistic understanding of schizophrenia-associated phenotypes such as deficits in prepulse inhibition and mismatch negativity and the contribution of genes identified by psychiatric genome-wide association studies to these phenotypes. The student will be supervised by Dr. Mäki-Marttunen at Tampere University, and will be employed in the Computational Neuroscience group led by Prof. Linne. The student is expected to be involved in our collaborative research with the Norwegian University of Life Sciences and University of Oslo (Prof. Gaute Einevoll and Prof. Ole Andreassen). *Requirements* We are looking for a candidate with a strong background in scientific computing and dynamical systems, and a deep interest in molecular and cellular-level neuroscience. The candidate should hold an M.Sc. degree in physics, mathematics, computer science, or a related field and have good verbal and written communication skills in English. The candidate should be deeply motivated in obtaining a Ph.D. degree in the field of computational neuroscience. Specific skills we are looking for: -Experience in numerical solution of ordinary and partial differential equations -Python programming and other programming skills -Previous experience in neuroscience and parallel computing is a plus *We offer* The position will be filled for a fixed-term period of three (3) to four (4) years. *The starting date is 1 December 2020 or as mutually agreed. **A trial period of six (6) months applies to all our new employees.* The salary will be based on both the job requirements and the employee’s personal performance in accordance with the salary system of Finnish universities. According to the criteria applied to teaching and research staff, the position of a Doctoral Researcher is placed on level 2—4 of the job requirements scale. A typical starting salary for Doctoral Researchers is approximately 2350 - 2450 EUR/month. We offer a vibrant, English-speaking academic environment in Tampere, Finland. Tampere University is the second largest university in Finland. The project will employ local and national supercomputers needed for the simulations. The university offers a range of staff benefits, including occupational health care, flexible working hours, sports facilities, and several restaurants and cafés on campus with staff discounts. Read more about living and working in Tampere, Finland: https://www.tuni.fi/careers. For more information on Tampere, please visit https://visittampere.fi/en/. <https://visittampere.fi/en/> *How* *to* *apply* Please submit your application through our online recruitment system: https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694. *The closing date for applications is 25 October 2020 (23:59 EEST (GMT+3)).* *Please write your application and all the accompanying documentation in English and attach them in PDF format.* Please attach only the following documents to your application: * A letter of motivation and description of your research interests (max. 1 A4 page) * Curriculum vitae (see, e.g., the TENK template <https://www.tenk.fi/en/template-researchers-curriculum-vitae>), including the contact details of two referees). * Transcript of records (master's degree studies). See https://tuni.rekrytointi.com/paikat/?o=A_A&jid=694 for details. *For further information, please contact:* Academy Research Fellow Tuomo Mäki-Marttunen tuomo.maki-marttunen(a)tuni.fi <mailto:tuomo.maki-marttunen@tuni.fi> Tampere University Finland

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Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway
by Michael Kampffmeyer 14 Sep '20

14 Sep '20

Open 3-year postdoctoral position in the Machine Learning Group at UiT The Arctic University of Norway. We are seeking a postdoctoral research fellow to take an active role in the group’s research on advancing machine learning methodology. Special emphasis will be given to candidates who have experience working with modern machine learning, deep learning and data-driven health. Experience working with unsupervised or semi-supervised methods is desired. The overarching basic research idea is to develop unsupervised and semi-supervised approaches for machine learning and deep learning. The candidate will seek to develop novel methodology for use within the applied fields of the group. This includes data-driven health (close collaboration with the University Hospital of North Norway), as well as image analysis research together with collaborating partners, in addition to industrial research. The candidate is expected to master tools such as e.g. TensorFlow and/or Pytorch. For details, please see: https://www.jobbnorge.no/en/available-jobs/job/190781/postdoctoral-research… The successful candidate will join the UiT Machine Learning Group, a vibrant group at the "north pole", with excellent national and international connections. Please contact Michael Kampffmeyer (michael.c.kampffmeyer(a)uit.no) or Robert Jenssen (Robert.jenssen(a)uit.no) for more info. Best, Michael

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Call for Abstracts - Workshop on Affective Shared Perception (WASP) - ICDL-EPIROB 2020
by Pablo Vinicius Alves De Barros 14 Sep '20

14 Sep '20

Call For Abstracts - Workshop on Affective Shared Perception (WASP) Dear all, We are delighted to invite you to submit an abstract, and to participate in our Workshop on Affective Shared Perception (WASP), hosted by the International Conference on Developmental Learning and Epigenetic Robotics (ICDL-EPIROB2020). Please find below all the information! Cheers, Pablo I. Aim and Scope Our perception of the world, in particular, the ones which are influenced by affective understanding, depends both on sensory perception and prior knowledge. Most of the current research on modeling affective behavior as computer models ground their contribution to pre-trained learning models, which are purely data-driven, or on reproducing existing human behavior. Such approaches allow for easily reproducible solutions that fail when applied to complex social scenarios. Understanding shared perception as part of the affective processing mechanisms will allow us to tackle this problem and to provide the next step towards a real-world affective computing system. The goal of this workshop is to present and discuss new findings, theories, systems, and trends in computational models of affective shared perception. The workshop will feature a multidisciplinary list of invited speakers with experience in different aspects of social interaction, which will allow a rich and diverse debate about our overarching theme of affective shared perception. The workshop is scheduled to happen on the 30th of October of 2020 virtually. It will start at 15h00 CET and it will have a total duration of 3h30min. The participation is free, and a Zoom room will be available shortly before the workshop starts. II. Registration The registration to the workshop is free, but to guarantee a place to attend the workshop, please register here: shorturl.at/ciCQX III. Potential Topics Topics include, but are not limited to: - Affective perception and learning - Affective modulation and decision making - Developmental perspectives of shared perception - Machine learning for shared perception - Bio-inspired approaches for affective shared perception - Affective processing for embodied and cognitive robots - Multisensory modeling for conflict resolution in shared perception - New psychological findings on shared perception - Assistive aspects and applications of shared affective perception IV. Invited Speakers Prof. Dr. Ginevra Castellano - Uppsala University, Sweeden Prof. Dr. Ellen Souza - Federal Rural University of Pernambuco, Brazil Prof. Dr. Yukie Nagai - The University of Tokyo, Japan V. Submission Prospective participants in the workshop are invited to submit a contribution as an abstract with a maximum of 350 words. Submission information: https://www.whisperproject.eu/wasp2020 The abstracts will be peer-reviewed by experts from all over the world. To encourage the integration with the local affective computing communities, we will allow student abstracts to be submitted in English, Spanish, and Portuguese. Each accepted abstract will be presented as a 5 min video (in English!) that will be shared on the workshop's social media. During the workshop, all the videos will be streamed and the authors will have a joint live Q/A with the audience for 60minutes. Participants can also opt-in for participating in our Frontiers Research Topic on Affective Shared Perception ( https://www.frontiersin.org/research-topics/16086/affective-shared-percepti…) The same abstract sent to the workshop can be sent as an abstract submission to the research topic. If you want to opt-in for the research topic, only English submissions will be accepted. - Abstract submission deadline: 12th of October - Notification of acceptance: 17th of October - Frontiers Research Topic Abstract Deadline: 24th of October - Video submission: 24th of October VI. Organizers Pablo Vinicius Alves De Barros, Italian Institute of Technology (IIT), Genova, Italy Alessandra Sciutti, Italian Institute of Technology (IIT), Genova, Italy ---------------------------------------- Dr. Pablo Barros Postdoctoral Researcher - CONTACT Unit Istituto Italiano di Tecnologia – Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy email: pablo.alvesdebarros(a)iit.it website: https://www.pablobarros.net<http://www.pablobarros.net><https://www.p> twitter: @PBarros_br

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Pattern Recognition in Neuroimaging Summer School Lectures
by Jozsef Arato 13 Sep '20

13 Sep '20

Dear All, The virtual summer school on Pattern Recognition in Neuroimaging at the University of Vienna is taking place this week (Sept. 14-18th). Registration is closed, but the live lectures are available free of charge, please visit our website (https://prni2020.univie.ac.at/) for more information. Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Mate Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) Looking forward to see you there. Jozsef Arato, PhD Program Chair, PRNI 2020 ______________________________ Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna <mailto:jozsef.arato@univie.ac.at> jozsef.arato(a)univie.ac.at

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Openings at the interface of Computational Neuroscience and AI
by sa474 13 Sep '20

13 Sep '20

Dear Colleagues, I would like to announce three new openings, 2 PhD candidate positions and 1 Research Assistant position, in my Lab at the Universitat Politècnica de València (UPV) in Spain, to participate in research projects related to Artificial Intelligence, Computational Cognitive Neuroscience, and their interface. Candidates for these positions are expected to have a quantitative background and strong interests in at least one of the following goals: - Apply state-of-the-art machine learning algorithms and/or neural circuit modeling to address questions in Life Sciences and Physics. - Adapt computationally efficient cognitive mechanisms into AI architectures (such as deep neural networks) aiming for more powerful learning algorithms. - Identify physiological mechanisms of brain function and dysfunction, in particular, the neural substrates of learning governing flexible, goal-directed behavior. Candidates should have a background in Computer Science, Electric Engineering, Physics, Math, Biology, or similar, and good programming skills (e.g., Python, R, Matlab, JavaScript, C++). Knowledge of dynamical systems modeling, time series analysis, machine learning and/or computational neuroscience would be an advantage. Candidates for the PhD positions should also have a Master degree, and candidates for the Research Assistant position should have a Bachelor degree, or similar. Gross salary for the PhD candidates and for the Research Assistant will be around 1400 €/month. Candidates from under-represented groups are strongly encouraged to apply. Our Lab is inclusive and committed to equity and diversity. The administrative period to apply at UPV will be from Sept 21 to Oct 2, 2020. The start date will be in November 2020. Candidates interested in these openings please contact me (Salva Ardid, E-mail: sardid at upv dot es) as soon as possible to know more about the selection process. Please provide an informal motivation letter (it can be embedded in the email body), a brief CV/resume, and the name and contact information of two referees willing to support your application with a recommendation letter. A brief note on our Lab’s location: Our group is located at the UPV campus in Gandia. Gandia is a historical, cultural, and touristic city located on the shoreline of eastern Spain, 65 km (40 mi) south of València (about 1 hour by train/car). València is the third most popular city in Spain after Barcelona and Madrid. The cost of living of València is significantly lower than that of Barcelona and Madrid (and this is even further the case for Gandia). Salva Ardid GenT Distinguished Research Group Leader Universitat Politècnica de València Paranimf 1 Edifici D, Despatx D-210 Gandia, 46730 Spain Web: https://sardid.github.io E-mail: sardid at upv dot es

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New book 'Changing Connectomes' (MIT Press)
by Marcus Kaiser 12 Sep '20

12 Sep '20

Dear all, My book on Connectome organization and development has now been published. The book gives an up-to-date overview of the field of connectomics, introducing concepts and mechanisms underlying brain network change at different stages. >From the synopsis: “This book provides an overview of network features of the brain, how these features emerge during evolution and brain development, and how alterations ranging from normal aging to developmental and neurodegenerative disorders affect brain networks. By including an introduction to concepts of network analysis, it will also be accessible to researchers who are new to the field of connectomics. Finally, through Matlab code examples, it will allow researchers to understand and extend the shown mechanisms of connectome development.” In case you're interested, the book is on sale on with Amazon and other booksellers: Amazon USA: https://t.co/ju0gtVANOQ Amazon UK: https://t.co/Oqqiu0tG4r Amazon Germany: https://t.co/JuvIfhSNfc Other booksellers: https://mitpress.mit.edu/books/changing-connectomes Best, Marcus -- Marcus Kaiser, Ph.D. FRSB @ConnectomeLab Professor of Neuroinformatics Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, School of Computing, Newcastle University, UK Guanci Visiting Professor Shanghai Jiao Tong University, Rui Jin Hospital, Functional Neurosurgery Unit, China Book: Changing Connectomes https://mitpress.mit.edu/books/changing-connectomes Lab website: http://www.dynamic-connectome.org/ Neuroinformatics UK: http://www.neuroinformatics.org.uk/

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Ph.D. Position: Theoretical models of adaptive signal processing and learning mechanisms in dendritic trees
by Tetzlaff, Christian 11 Sep '20

11 Sep '20

Dear all, The Third Institute of Physics - Biophysics at the Georg-August-Universität Göttingen invites applications for a Ph.D. position German Salary Scale TV-L E13, 66% (of 39.8 weekly hours) for 3 years. The successful candidate will be part of an international research project aiming to extend the existing theories for adaptive signal processing and learning mechanisms in dendritic trees and possible technological applications thereof. The position should be filled by 1st of November or soon thereafter. This post is designed to foster young researchers and give the successful applicant the opportunity to pursue a doctoral degree. The position will be affiliated with the groups of Dr. Christian Tetzlaff and Prof. Florentin Wörgötter, who are investigating the emergence of complex behavior from the interplay of diverse neuronal and synaptic processes of neuronal networks (see, e.g., Tetzlaff et al., 2015, Scientific Reports; Li et al., 2016, PLoS One). The aim of the research project is to deepen our understanding of adaptive dendritic processing and uncover methods for employing these mechanisms in technological and machine learning applications. Suitable candidates should hold a Master degree in Physics or Computer Science preferably with some additional experiences in Computational Neuroscience and Machine Learning. We expect excellent mathematical and coding skills (e.g., Python, Matlab, C++) as well as skills in scientific communication (including proficiency in English). The candidate should be curious, highly motivated, self-organized, and show a keen interest to work within the connection between two lively research teams and to perform leading-edge research. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application, preferably in one single PDF-document, including a letter of interest, your curriculum vitae, copies of your certificates and contact information of at least two references until 4th of October to Dr. Christian Tetzlaff, e-mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>. Please see the job advertisement using the following link: https://www.uni-goettingen.de/de/305402.html?cid=15185. ---------------------------------------------------------------------- Dr. Christian Tetzlaff Junior Research Group Leader Bernstein Center for Computational Neuroscience Third Institute of Physics - Biophysics Georg-August University Friedrich-Hund Platz 1 37077 Göttingen Phone: +49 (0)551 39 26 932 E-Mail: tetzlaff(a)phys.uni-goettingen.de<mailto:tetzlaff@phys.uni-goettingen.de>

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PhD Position in Computational Neuroscience (Visual Attention Models)
by Fred Hamker 11 Sep '20

11 Sep '20

The lab of Fred Hamker at Chemnitz University of Technology is offering a PhD Position in Computational Neuroscience (Visual Attention Models). The position is for three years, starting as soon as possible. The research position is funded by a DFG research grant and focuses on the modelling of RF dynamics during attention and eye movements. For the formal job search in german, please refer to: https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_1_EPu.php <https://www.tu-chemnitz.de/verwaltung/personal/stellen/257030_1_EPu.php> German language skills are not required, but the willingness to learn German would be useful. Applications should be sent by email (preferably in PDF format) to (fred.hamker(a)informatik.tu-chemnitz.de <mailto:fred.hamker@informatik.tu-chemnitz.de>) as soon as possible. Applications will be considered until the position is filled. Chemnitz is the third-largest city of the state of Saxony in Germany and close to scenic mountains. Major cities nearby are Leipzig and Dresden with a rich tradition of music and culture. Our recent prior work in this field: Bergelt J, Hamker FH. (2019) Spatial updating of attention across eye movements: A neuro-computational approach. Journal of vision, 19:10. doi:10.1167/19.7.10 Ziesche A, Bergelt J, Deubel H, Hamker FH. (2017) Pre- and post-saccadic stimulus timing in Saccadic Suppression of Displacement – a computational model. Vision Research, 138:1-11. doi:10.1016/j.visres.2017.06.007 Hartmann TS, Zirnsak M, Marquis M, Hamker FH, Moore T. (2017) Two types of receptive field dynamics in area V4 at the time of eye movements? Frontiers in Systems Neuroscience, 11:13. doi:10.3389/fnsys.2017.00013 Bergelt J, Hamker FH. (2016) Suppression of displacement detection in the presence and absence of eye movements: A neuro-computational perspective. Biological Cybernetics, 110:81-89. doi:10.1007/s00422-015-0677-z Beuth F, Hamker FH. (2015) A mechanistic cortical microcircuit of attention for amplification, normalization and suppression. Vision Research, 116, 241-257. doi:10.1016/j.visres.2015.04.004

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Group Leader Position(s) in the Institute of Experimental Medicine, Budapest
by Balazs Ujfalussy 11 Sep '20

11 Sep '20

Group Leader Position(s) in the Institute of Experimental Medicine The Institute of Experimental Medicine in Budapest, Hungary invites applications for independent scientific group leader positions. The Institute, an internationally renowned Center of Excellence in neuroscience, hosts scientific groups in diverse fields of neuroscience applying molecular, anatomical, physiological, pharmacological and behavioral approaches, and offers several state-of-the-art core facilities supporting research (see detailed information at http://koki.hu/english/introduction-106273) The successful applicant(s) is(are) expected to establish an internationally competitive research group that integrates into and strengthens the existing research profile of the Institute, and preferably offers interdisciplinary cooperation opportunities. The successful applicant(s) should have a Ph.D. in natural sciences and should be an international expert in experimental or computational neuroscience. Requirements are strong scientific track-record, demonstrating independent research leadership abilities, international experience, competence in supervising a scientific team and excellent cooperation skills. Applications should include (1) a CV, (2) a full publication list and 5 selected (most important) publications, (3) the summary of research achievements (max. 2 pages), (4) scientific concept and plans (2 pages) and (5) presentation of leadership and cooperation experience (half a page). The applications should be submitted by 21st September 2020 by email to: igazgato(a)koki.mta.hu Zoltan Nusser Director Institute of Experimental Medicine Prof. Zoltan Nusser Laboratory of Cellular Neurophysiology Institute of Experimental Medicine H-1083 Budapest, Szigony street 43. Phone: +36-1-210 9983 Fax: +36-1-210 9984 E-mail: nusser.zoltan(a)koki.mta.hu www.nusserlab.hu

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PhD studentship in Computational and Cognitive Neuroscience
by Shabnam Kadir 09 Sep '20

09 Sep '20

*PhD in Computational & Cognitive Neuroscience, University of Hertfordshire, UK* An exciting full-time funded PhD opportunity has arisen at the University of Hertfordshire associated to a collaborative project with King’s College London and Brunel University London funded by the US Air Force. The project aims to build an explorative and predictive model of the brain that is sensitive to the transitions between sustained attention and mind-wandering states using an already collected simultaneously acquired EEG/fMRI dataset. Towards this goal, novel methods for characterizing, sequencing, and predicting neural dynamics at two complementary spatio-temporal resolution levels will be developed: level 1) electroencephalography (EEG) microstates, which are short quasi-stable topographies of brain electrical activity as measured at the scalp; and level 2) functional connectivity maps derived from the functional Magnetic Resonance Imaging (fMRI) data. *Requirements* We are seeking to appoint a graduate in Computer Science, Bioengineering, Physics, Mathematics, Neuroscience, or related fields, with an interest in cognitive neuroscience and neuroimaging, who has proven programming skills (e.g., Python, Matlab, C++). Knowledge of signal processing, time-series analysis, and machine learning would be an advantage. Previous experience of EEG and/or fMRI data analysis is highly desirable. The 3-year full-time PhD studentship includes a stipend of £15,285 per annum in addition to covering tuition fees. *Only EU and UK citizens are eligible to apply.* The start date of the PhD will be January 2021. The PhD will be supervised by *Dr Shabnam Kadir* (University of Hertfordshire), *Dr Elena Antonova* (Brunel University London), *Prof Robert Leech* (Institute of Psychiatry, Psychology and Neuroscience, King’s College London), and *Prof Chrystopher Nehaniv* (University of Hertfordshire, United Kingdom, and University of Waterloo, Ontario, Canada). Interested candidates are encouraged to make informal inquiries with *Dr Shabnam Kadir* (s.kadir2(a)herts.ac.uk) before making a formal application. Full details available here: http://biocomputation.herts.ac.uk/2020/08/25/phd-in-computational-cognitive… To apply, submit an application form (downloadable from https://www.herts.ac.uk/__data/assets/pdf_file/0010/31105/uh-application-fo…) together with a cover letter, CV, and scanned copies of university transcripts and degree certificates (BSc, and if relevant MSc) via email to doctoralcollegeadmissions(a)herts.ac.uk, cc-ing Dr Kadir on s.kadir2(a)herts.ac.uk and Dr Antonova on elena.antonova(a)brunel.ac.uk *Closing Date for the applications: 28 September 2020.* -- ---------------------------------------------------------------------------------------------------------------- Dr. Shabnam Kadir Senior Lecturer School of Physics, Engineering and Computer Science, University of Hertfordshire, Hatfield, Hertfordshire AL10 9AB, United Kingdom. Tel. +44 1707 284641 ----------------------------------------------------------------------------------------------------------------

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PhD Opportunities for the Cognitive Anteater Robotics Laboratory at UC Irvine
by Jeffrey Krichmar 07 Sep '20

07 Sep '20

Dear Colleagues, We are recruiting PhD students for the Fall of 2021 in the Department of Cognitive Sciences and the Department of Computer Science at the University of California, Irvine. Students will have the opportunity to work in the Cognitive Anteater Robotics Laboratory, which conducts research in assistive robotics, computational neuroscience, machine learning, neural networks, neuromorphic engineering and neurorobotics. Applicants should have a strong mathematical and computer programming background, as well as good communication skills. Current Federally funded projects include: · Artificial Intelligence for Novelty Detection · Cognitive Maps in Rats, Robots and Men · Lifelong Learning Machines · Sparse Predictive Coding for Efficient Visual Navigation More information about the lab, recent publications, software, and videos can be found at: · http://www.socsci.uci.edu/~jkrichma · https://www.youtube.com/user/cognitiveroboticsuci/videos Successful applicants will receive funding toward their Ph.D. for at least 5 years. Students interested in applying can contact me at: jkrichma(a)uci.edu Details about the graduate programs can be found at: · https://www.cogsci.uci.edu/graduate/index.php · https://www.ics.uci.edu/grad/admissions/index About UCI (www.uci.edu) In 1965, the University of California, Irvine was founded with a mission to catalyze the community and enhance lives through rigorous academics, cutting-edge research, and dedicated public service. Today, we draw on the unyielding spirit of our pioneering faculty, staff and students who arrived on campus with a dream to inspire change and generate new ideas. We believe that true progress is made when different perspectives come together to advance our understanding of the world around us. And we enlighten our communities and point the way to a better future. At UCI, we shine brighter. Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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OCNS Software/Tools/Infrastructure Special Interest Group (SIG)
by Ankur Sinha 07 Sep '20

07 Sep '20

Hello everyone, (Please excuse the cross posts.) At this year's annual CNS meeting[0], the Organization for Computational Neurosciences (OCNS) discussed the formation of OCNS Special Interest Groups (SIGs). The idea is for the OCNS membership to be able to self-organise, based on common interests, to work on various tasks/projects to develop themselves and computational neuroscience in general[1]. The OCNS Board will enable SIGs by providing them with the necessary resources. As you will see on the Neurostars topic, a number of OCNS members have expressed interest in different SIGs. In my capacity as the current OCNS webmaster, I'd like to focus on the software/tools/infrastructure that is critical for computational neuroscience research. From the topic on Neurostars[2]: "Computational neuroscience cannot exist without the tools that we all rely on. So, this SIG will focus on these. We’ll find and discuss tools, we will learn how to use them, we will test and review them, we will file bugs to inform the developers of issues, and finally we will try to learn how they work and try to get involved in their development---to ensure that these tools that we rely on remain in good shape by having communities looking after them. While we do all of this, we will improve our knowledge of transferable skills: anything involved in modern software development (which are not limited to only writing tools, but are extremely important/useful when developing models using these tools)." Please join the discussion on Neurostars if this interests you. We will start to mobilise in the next few weeks. You can learn more about OCNS membership here[3]. [0] https://www.cnsorg.org/cns-2020 [1] https://neurostars.org/t/cns-2020-ocns-members-meeting/15273/3?u=sanjayanku… [2] https://neurostars.org/t/ocns-infrastructure-software-tools-sig-meet-and-gr… [3] https://www.cnsorg.org/join-ocns -- Thanks, Regards, Ankur Sinha (He / Him / His) OCNS webmaster | https://www.cnsorg.org/ Research Fellow at the Silver Lab | http://silverlab.org/ Time zone: Europe/London

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Call for papers : Cognitive Computation - Springer Journal, Special Issue on Brain Simulation and Spiking Neural Networks
by Zhe Sun 06 Sep '20

06 Sep '20

Dear all, Please find below the call for papers for the journal of Cognitive Computation, Special Issue on Brain Simulation and Spiking Neural Networks. The submission deadline is April 1, 2021. Call For Papers: Journal : Cognitive Computation Special Issue : Brain Simulation and Spiking Neural Networks https://www.springer.com/journal/12559/updates/18336610?fbclid=IwAR28sBPPk0… Scope and Motivation During the past 10 years, many experiments have been implemented with the aim of improving our understanding on the brain’s structure and function. Alongside, simulation neuroscience has become an important strategy to investigate how the brain works. The Human Connectome Project in the US started in 2009, and aimed to provide a big human brain mapping dataset on which many brain models have already been tested. In the Human Brain Project in the EU, a large-scale virtual rodent brain simulation is being built with the purpose of revealing various brain activities. In Japan, whole human-scale brain simulations on the Fugaku supercomputer are being established to investigate how neural networks develop their learning process. On the other hand, the foundation of cognitive computing and control mechanism can be revealed from the simulations of brain circuits and the neural dynamics. Moreover, these are also critical to improve current artificial intelligent systems and for building brain intelligence level algorithms. In this special issue, we invite researchers to present their state-of-the-art approaches, introduce recent advances and therefore show the potential of brain-simulation-related technologies. Guest Editors Jordi Solé-Casals (jordi.sole(a)uvic.cat) Cesar F. Caiafa (ccaiafa(a)fi.uba.ar) Zhe Sun (zhe.sun.vk(a)riken.jp) Vassilis Cutsuridis (vcutsuridis(a)lincoln.ac.uk) Topics Topics include but are not limited to: • Brain Connectivity mapping and functional mapping • Data analysis methods for connectome data • Multi-scale neural system simulation • Neuromorphic hardware • High-performance computing system for large scale simulations • Neural system inspired spiking neural network • Neuro-robotics systems • Sensorimotor learning model Deadlines Submissions Deadline: April 1, 2021 First notification of acceptance: June 1, 2021 Submission of revised papers: August 1, 2021 Final notification to the authors: Oct 1, 2021 Submission of final/camera-ready papers: Nov 1, 2021 Publication of special issue: Nov 22, 2021 Submission Instruction: Prepare your paper in accordance with the Journal guidelines: www.springer.com/12559. Submit manuscripts at: http://www.editorialmanager.com/cogn/. Select “SI: Granular Computing and Three-Way Decisions for Cognitive Analytics” for the special issue under “Additional Information.” Your paper must contain significant and original work that has not been published nor submitted to any journals. All papers will be reviewed following standard reviewing procedures of the Journal. If you have questions, please send us an e-mail. Best wishes, Sun Zhe --------------------------------------------------------- Zhe Sun, PhD Research Scientist RIKEN Center for Advanced Photonics Image Processing Research Team RIKEN, Japan 国立研究開発法人　理化学研究所光量子工学研究センター　画像情報処理研究チーム研究員　孫　哲 E-mail： zhe.sun.vk(a)riken.jp sunzhe839(a)gmail.com Tel :　048-462-1111　(ext. 7828) ---------------------------------------------------------

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PhD position: Machine learning to record and enhance sleep and lucid dreaming
by Martin Dresler 03 Sep '20

03 Sep '20

Hi, Arenar B.V. and the Donders Institute offer a joint PhD position combining data science/AI and wearable EEG technology with sleep/dream research. In this project, the wearable sleep EEG headband iBand+ will be further developed and applied in several experimental studies. First, we will develop automatic sleep stage detection algorithms using machine learning strategies. We will then implement closed-loop acoustic stimulation procedures to enhance sleep slow oscillations to improve deep sleep. We will further develop combined acoustic and visual stimulation procedures which will allow to enhance self-awareness during sleep (i.e. lucid dreaming) and subsequent mood in the morning. The validity and efficacy of these procedures will be tested experimentally in large longitudinal studies in naturalistic home-based settings. The successful candidate will be centrally involved in the development, will lead different research projects within this general framework; will be closely involved in daily supervision of MSc students assisting the project; and will participate in the vibrant Donders Graduate School. Job details • 4 years at Donders, extension to permanent position at Arenar possible • Deadline: 31 August 2019 • Starting date: October/November, but somewhat flexible • Salary: starting with € 40000 gross per year Candidate profile • MSc-level background in Data Science, ML, AI, computer sciences, or adjacent field; • Proficiency in Python, C, C++, statistics • Interest in sleep, lucid dreaming, meditation • The capacity to participate in a collaborative, interdisciplinary, international research environment; • Fluency in written and spoken English. Candidates who only partially meet this profile are nonetheless strongly encouraged to apply! Organization The PhD project is a collaboration between Arenar B.V. and the Donders Institute. Arenar B.V. is a Dutch technology start-up based in Nijmegen, founded in 2016 by a team of engineers/developers with a combined technical industry experience exceeding 40 years working at leading technology companies such as NXP, Philips, Texas Instruments. Work in Arenar’s small enthusiastic team offers plenty of flexibility, responsibility and lots of influence on the product development. In particular, Arenar develops the iBand+ ( http://www.ibandplus.com) and many more upcoming innovative products. The project is embedded in the infrastructure of the Donders Centre for Cognitive Neuroimaging, providing a unique and stimulating learning environment for young researchers, including a high-profile graduate school and in-house methodological expert courses. Sleep research is a vibrant and rapidly growing field at the Donders Institute, with several new research groups in human and animal sleep research. The project is further embedded in the Radboud University Medical Center. Radboud UMC strives to be a leading developer of sustainable, innovative and affordable healthcare to improve the health and wellbeing of people and society in the Netherlands and beyond. Application Please apply with a brief motivation letter explaining your interest and qualifications regarding the position, your prior research/work experience, a CV, and contact information of two professional references: https://www.radboudumc.nl/en/vacancies/70061-phd-candidate-machine-learning… For specific questions about this position, please contact martin.dresler(a)donders.ru.nl Cheers, Martin -- Donders Sleep & Memory Lab, Radboud University Medical Center Kapittelweg 29, 6525 EN Nijmegen, Netherlands https://dreslerlab.org

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Call for submissions to frontier research topic
by alekhya mandali 03 Sep '20

03 Sep '20

Dear all We invite contributions to the Frontier's Research topic - ' Exploring Psychopathology: Utility, Action-Selection and Beyond' ABSTRACT ---------------------------------------------------------------------------------------------------------- A huge body of work on understanding each of many psychiatric conditions in the context of behaviors, neural correlates, and intervention is available and still on-going. One area of research that is rapidly gaining ground is that of impaired decision making in psychiatric disorders such as anxiety, OCD, schizophrenia, etc. The role of more abstract constructs such as emotion, effort, and motivation in utility or value computation and action selection or policymaking is still quite nascent. This Research Topic attempts to bring together research projects that address this need. We welcome theoretical and experimental studies that apply ‘reward or utility maximization and action-selection’ framework to psychiatric conditions such as impulsive (e.g. gambling, addiction), mood and anxiety, and compulsive disorders. Novel approaches that expand this framework and incorporate constructs such as emotion, effort, and motivation are of special focus. The call is open but not restricted to: ● Novel experimental studies/paradigms that investigate effort, motivation, mood, and anxiety in a reward-utility framework in health and disease such as OCD, depression, anxiety, and mood disorders. ● Computational models that utilize either data-driven, simulation-based approaches, and reinforcement learning models where the abstract factors such as effort, motivation, mood, and anxiety are represented in terms of value or utility. ● Research that focuses on studying the causal relationship between decision making and effort, motivation, mood, and anxiety ● Translation research such as pharmacological interventions where insights gained could potentially help design novel treatment/ diagnostic methods. SUBMISSION DATES ---------------------------------------------------------------------------------------------------------- Abstract deadline: 30th September 2020 Manuscript deadline: 01 Jan 2021 DETAILS ---------------------------------------------------------------------------------------------------------- https://www.frontiersin.org/research-topics/15163/exploring-psychopathology… -- https://sites.google.com/view/alekhyamandali/home

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Tobii Pro & ePrime NOW INCLUDED! | Call for Research Projects | Bitbrain
by Eduardo López-Larraz 03 Sep '20

03 Sep '20

Dear all, >From Bitbrain we pleased to announce that *Tobii Pro* and *Psychology Software Tools* are joining our *Call for Research Projects* to provide additional research solutions. In addition to the hardware and software provided by Bitbrain, Psychology Software Tools and Tobii Pro have kindly offered to complete our offering with their solutions. Their contribution will be as follows: - *Psychology Software Tools*: E-Prime Licenses for up to two projects that need comprehensive stimulus presentation. - *Tobii Pro:* Up to two projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking data. Accordingly, the awards comprise up to *150K€ **in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions* (more info below), for research projects in the areas of *human behavior research *and *brain-computer interfaces*. The deadline for submissions is *September 21st, 2020.* See full information here <https://bit.ly/2QKWslU> [image: sponsor-brands-call2] Call for Research Projects *Aim of the Call* This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been postponed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. *The Awards* *This initiative awards projects with up 150K€ in equipment and software licenses of Bitbrain, plus Psychology Software Tools and Tobii Pro selected solutions (see below or in our website).* Applicants should list all the equipment necessary to successfully carry out their research project proposal, selecting from these options, and irrespective of the cost: - *Bitbrain equipment:* Systems specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies (GSR, BVP, ExG, etc), as well as Bitbrain's software solutions for synchronized multimodal data acquisition and analysis. The equipment will belong to the awarded institutions once the project is completed, but they are free to use it for other types of research. - *Psychology Software Tools*: E-Prime Licenses for projects that need stimulus presentation. - *Tobii Pro:* Up to two of the winning projects may choose between the Tobii Pro Fusion 250 Hz remote eye tracking system or the Tobii Pro Glasses 3 50 Hz. In addition, a one year access to the Tobii Pro Lab software will be granted, to ensure successful analysis of the eye tracking related parts of the project. *Call topics* 1. *Topic 1: Human Behavior Research:* We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. 2. *Topic 2: Brain-Computer Interfaces (BCI):* We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc *Jury* - Alan Kingstone, Ph.D., Professor, Department of Psychology, University of British Columbia. Canada. - Ander Ramos, Ph.D., Head of the Neurorehabilitation Lab. University of Tübingen. Germany. - Dima Amso, Ph.D., Professor, Department of Psychology at Columbia University. USA. - Gernot Müller-Putz, Ph.D., Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria. - Marco Congedo, Ph.D., Charge de Research (CNRS), France. - Tad Brunye, Ph.D., Visiting Associate Professor, Department of Psychology, Tufts University; Senior Research Psychologist, Army Natick Soldier Research, Development, and Engineering Center, USA. - Tiago Falk, Ph.D., Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada. *Important Dates* - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January See full information here <https://bit.ly/2QKWslU> The Bitbrain Team

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postdoc position in mouse electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
by Scholvinck, Marieke 02 Sep '20

02 Sep '20

We are hiring! We are looking for an enthusiastic postdoctoral researcher to lead the mouse work of the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany. THE LAB The Zero-Noise Lab investigates how neuronal population activity unfolds in real time during naturalistic behaviour - and how this simultaneously encodes multiple ongoing cognitive processes like learning, attention, and perceptual decision making. What's more, we compare this across species: We conduct chronic electrophysiological recordings in the visual cortex of macaques and mice while they perform the same naturalistic foraging task in a virtual environment. We are no fans of cross-trial averaging - if the brain only gets one shot at making sense of its activity, so should we! The lab is jointly headed by Marieke Schölvinck and Martha Havenith, and funded by the Max Planck Society. It is a highly collaborative environment - postdocs and PhD students focus on either mouse or monkey, but work together intensely to constantly align experiments across species. YOU We are looking for a postdoc to lead the mouse side of the lab, while developing their own ideas and research interests. If you hold (or are about to hold) a Ph.D. in Systems Neuroscience, and are eager to decipher the neuronal basis of naturalistic cognitive processing in an interdisciplinary lab, we would love to hear from you! Useful skills: - Experience with electrophysiological recordings in awake animals - Programming skills (Matlab/Python) - Technical skills to build an electrophysiology set-up - Experience with behavioural training HOW TO APPLY If you are interested, please send an email to Marieke (marieke.scholvinck(a)esi-frankfurt.de<mailto:marieke.scholvinck@esi-frankfurt.de>) and Martha (martha.havenith(a)esi-frankfurt.de<mailto:martha.havenith@esi-frankfurt.de>) before September 30, 2020. In your email, please explain your background, what you expect from your postdoc, and why you want to join us. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke

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Biological Cybernetics- Articles by grad students and postdocs only
by Fellous, Jean-Marc - (fellous) 01 Sep '20

01 Sep '20

Dear members of the community, Biological Cybernetics<https://www.springer.com/journal/422> is launching 3 new types of articles. These manuscripts can only be co-authored by Junior Scientists (defined as graduate students or postdoctoral fellows) and will be reviewed by one regular reviewer and one or more Junior Scientists. The scope of the journal can be found here<https://www.springer.com/journal/422/aims-and-scope> . - Mini review or tutorial: 3000 words, 2-3 Figures. A didactic but comprehensive overview of a topic or technique of interest to the Biological Cybernetics community. Authors are encouraged to also give their own perspective on the matter where appropriate in a separate clearly marked subsection. Authors are encouraged to contact the co-editor in chief to discuss appropriateness/fit of the manuscript. - Journal Club: 1200 words, 1 Figure. A short and focused account of a recent (less than one year old) publication in Biological Cybernetics or elsewhere. The authors should not belong to the same institution as any of the co-authors on the chosen publication. The manuscript should go beyond a simple summary of the original publication and point to aspects of the work of specific relevance to the Biological Cybernetics readership. - Short Communication: 2000 words, 2-3 Figures. Authors are encouraged to submit a short account of results that would not be sufficient for a full publication, but which are deemed worthy of communication to the scientific community. These could be the outcome of a 'side' project, a 'follow up' study, an interesting 'condition'. Though restricted in scope, the results are expected to be of the same quality (e.g. statistical power, proper controls for experimental submissions, mathematical rigor and clarity of exposition for theoretical submissions) as those found in a regular research paper and will be evaluated as such. Pilot experiments or preliminary data are not suitable. At the time of submission, a short note (email OK) from the advisor to the co-editor in chief is required indicating that s/he has been informed of the content/scope of the manuscript. For questions, please contact Jean-Marc Fellous (fellous at arizona.edu) Co-Editor in Chief. Jean-Marc Fellous Professor Departments of Psychology and Biomedical Engineering University of Arizona On behalf of Benjamin Lindner (Editor in Chief), Peter Thomas and Paul Tiesinga (Co-Editors in Chief) Biological Cybernetics: https://www.springer.com/journal/422 Biological Cybernetics Aims and Scope: https://www.springer.com/journal/422/aims-and-scope

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Post-doctoral positions
by sio 01 Sep '20

01 Sep '20

Open Postdoctoral positions The Vision and Natural Computation group at the Vision Institute, Paris, France, (http://www.institut-vision.org/en/ <http://www.institut-vision.org/en/>) seeks experienced and outstanding applicants for several post-doctoral research positions in the field of neuromorphic engineering in any related field including machine learning, event-based computer vision, robotics and spiking neural networks. The applicant will join the Vision and Natural Computation group let by Profs R Benosman and S.H Ieng. The group is a pioneer of neuromorphic event based computation and among the leading teams of the international neuromorphic engineering community. We are interested in candidates willing to work on any aspects of event based computation, preference will be given to those interested in developing any aspect related to new forms of machine learning inspired by neurosciences and going beyond the current status-quo of conventional machine learning. The position will open in November 2020 and can be flexibly adjusted as needed. Interested applicants should submit a detailed curriculum vitae with brief paragraphs of research interests, career goals and why you feel you are a good fit for the lab and perhaps a reference person to contact. Information should be sent to ryad.benosman(a)upmc.fr <mailto:ryad.benosman@upmc.fr> and sio-hoi.ieng(a)upmc.fr <mailto:sio-hoi.ieng@upmc.fr>, please also mention in the email the earliest date at which you could join.

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Open PhD Positions in Dendritic Processing for Novel Computing Concepts
by Robert Legenstein 01 Sep '20

01 Sep '20

The Lab of Robert Legenstein at TU Graz is offering funded PhD positions in the area Deep Learning and Computational Neuroscience. A background in Deep Learning, Computataional Neuroscience, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will investigate models of computation and learning in neuronal networks with nonlinear dendritic processing and develop learning algorithms for optical processing hardware. She/he will be embedded in the interdisciplinary consortium of the EU-FET-open project ADOPD (Adaptive Optical Dendrites). See https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/#c204996 for a brief project description. Please send your application including a CV, any prior thesis and/or work, and trascript of records by 15. September 2020 to robert.legenstein(a)igi.tugraz.at Dr. Robert Legenstein Institute Head Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria https://www.tugraz.at/institute/igi/people/prof-legenstein/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ---------------------------------- -- Dr. Robert Legenstein Associate Professor Institute Head Institute for Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 01 Sep '20

01 Sep '20

Dear Colleagues, We cordially invite you to submit a manuscript for possible publication in a Special Issue on "Information Theory in Computational Neuroscience" to be published in the journal Entropy (ISSN 1099-4300, IF 2.530, http://www.mdpi.com/journal/entropy) The aim of the Special Issue is to bring together neuronal models and neuronal plasticity mechanisms that are grounded in information theory principles, modern inference, and learning algorithms. We welcome submissions that use information theory as the basis for defining generative principles of neuronal dynamics over multiple spatio-temporal scales, which informs our understanding of information processing in the brain. You can see full details of the scope and submission details at: https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… The submission deadline is 30 September 2020. You may send your manuscript at any time before the deadline or a bit later. Submitted papers should not be under consideration for publication elsewhere. Entropy is fully open access. Open access (unlimited and free access by readers) increases publicity and promotes more frequent citations, as indicated by several studies. Please kindly note that an Article Processing Charge (APC) of CHF 1600 currently applies to all accepted papers. Please do not hesitate to come back to us if there is anything further that we can help with. We look forward to hearing from you. Kind regards, Dimitrije Markovic and Claudius Gros ============================= Dr. Dimitrije Markovic Post-Doc at Technische Universität Dresden, Department of Psychology, Dresden, Germany Lab website: https://tu-dresden.de/mn/psychologie/ifap/ni Phone: +49-351-463-43146 Personal website: http://dimarkov.github.io/ =============================

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NeuTouch Summer School
by Miguel Casal Santiago 31 Aug '20

31 Aug '20

The Horizon 2020 project Neutouch is glad to announce that the first summer school of the project about “Touch for prosthetics” will be held online the 21 & 28 September and 5 & 12 October 2020. The school will have talks from cutting-edge professors and students in the field of touch, including topics such as neuromorphic engineering, brain-computer interfaces, computational neuroscience and machine learning, among others. We invite you to take a look at the program together with a small description of the talks in this link <https://www.neutouch.eu/events/neuschool20>, where you can also subscribe for free. You can contact neutouchboard(a)gmail.com <mailto:neutouchboard@gmail.com> for doubts and requests Neutouch Editorial Board

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Postdoc positions in Aarhus University, Denmark
by Diego Vidaurre 30 Aug '20

30 Aug '20

Dear all, Funded by an ERC grant, I am opening two postdoc positions in my lab in Aarhus University in collaboration with Oxford University, to develop new methods on machine learning and Bayesian time series modelling, with application to specific problems in computational neuroscience. If someone is interested, or know of someone interested, please get in contact. More details on the topics, salary, conditions, requirements, etc. here: https://health.au.dk/en/about-health/vacant-positions/job/postdoc-in-integr… Thanks Diego Vidaurre

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Postdoc in computational cognitive neuroscience of speech processing at the University of Texas at Austin (USA)
by Hamilton, Liberty 28 Aug '20

28 Aug '20

The Hamilton Lab at The University of Texas at Austin seeks to hire a full-time postdoctoral fellow to study brain processing of natural speech in the presence of noise. Our approaches include computational methods (neural networks, linear/nonlinear regression models, encoding/decoding), electrophysiology (scalp EEG and intracranial EEG), and fMRI. A postdoc is sought for a one-year contract to begin a collaborative project with the Huth Lab on brain processing of natural sounds using scalp EEG and fMRI. Lab websites: https://slhs.utexas.edu/research/hamilton-lab and https://cs.utexas.edu/~huth/ Start date: Open Full time, benefits eligible, one-year contract with potential for extension based on performance/funding. Qualifications: The ideal candidate will have a strong quantitative background (time series analysis, regression models) and ability to code in python or MATLAB (though python will be used for most projects). All candidates must hold a PhD by the time of appointment. Preferred Qualifications: Previous experience in scalp EEG and/or fMRI strongly preferred, though related work in other electrophysiology methods will also be considered. A PhD in neuroscience, computer science, cognitive science, psychology, bioengineering, communication disorders, or other related fields is suggested. The Hamilton Lab is located in the Department of Speech, Language, and Hearing Sciences and is jointly affiliated with the Department of Neurology at Dell Medical School. The Huth Lab is located in the Departments of Neuroscience and Computer Science. The Hamilton and Huth labs are committed to fostering a supportive and diverse environment. We are strongly committed to mentoring our students and postdoctoral scholars to reach their goals. Our groups work as a multidisciplinary team, where each member’s contribution is valued. Our lab members come from a wide variety of fields including speech/language/hearing science, neuroscience, linguistics, music, physics, computer science, and psychology. The candidate is expected to work collaboratively with graduate students and research assistants in these fields. Apply at: https://utaustin.wd1.myworkdayjobs.com/UTstaff/job/UT-MAIN-CAMPUS/Postdocto…

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Professor position in Goettingen, Germany
by Rizzoli, Silvio 26 Aug '20

26 Aug '20

Dear colleagues, I hope this email finds you well. My institute at the University Medical Center Goettingen, Germany, the Institute for Neuro- and Sensory Physiology, currently has an announcement for a W2 professorship position in the field of computational modeling of synaptic physiology. Our institute produces substantial quantitative data on synapses, from fluorescence imaging to biochemistry, mass spectrometry and electron microscopy (see for example Wilhelm et al., Science, 2014). We are looking for an investigator with substantial expertise in computational aspects, who would benefit from these data, and would be able to use them for important studies. This professorship will be integrated in an excellent neuroscience campus, and will benefit strongly from our collaborative research center CRC/SFB 1286, dedicated to Quantitative Synaptology (composed of more than 20 collaborating laboratories, from many excellent institutions). Our announcement can be found at: <https://jobs.zeit.de/jobs/universitaetsprofessur-w2-modellierung-synaptisch…>https://www.academics.com/jobs/university-professorship-w2-modeling-synapti… It would be great if you could also send this announcement to colleagues in your department, who may be interested in applying for this position. Best wishes, and thank you in advance, Silvio Rizzoli Prof. Dr. Silvio O. Rizzoli UNIVERSITÄTSMEDIZIN GÖTTINGEN GEORG-AUGUST-UNIVERSITÄT Direktor des Instituts für Neuro- und Sinnesphysiologie Zentrum Physiologie und Pathophysiologie Humboldtallee 23, 37073 Göttingen Telefon: 0551-39-5911 FAX: 0551-39–66031 E-Mail: srizzol(a)gwdg.de Sprecher des Centers Biostructural Imaging of Neurodegeneration (BIN) von-Siebold-Straße 3a, 37075 Göttingen Sprecher des Sonderforschungsbereichs 1286 Quantitative Synaptologie (Collaborative Research Center 1286 Quantitative Synaptology)

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Professorship in computational modeling of synaptic physiology at the University Medical Center Göttingen, Germany
by Erik De Schutter 26 Aug '20

26 Aug '20

The University Medical Center Göttingen, Germany has announced a W2 professorship position in the field of computational modeling of synaptic physiology. The institute produces substantial quantitative data on synapses, from fluorescence imaging to biochemistry, mass spectrometry and electron microscopy. They are looking for an investigator with substantial expertise in computational aspects, who would benefit from these data, and would be able to use them for important studies. This professorship will be integrated in an excellent neuroscience campus, and will benefit strongly from our collaborative research center CRC/SFB 1286, dedicated to Quantitative Synaptology (composed of more than 20 collaborating laboratories, from many excellent institutions). The announcement can be found at: https://www.academics.com/jobs/university-professorship-w2-modeling-synapti…

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Postdoc/PhD/RA positions at ÖAW Acoustics Research Institute, Vienna
by Robert Baumgartner 19 Aug '20

19 Aug '20

We are currently looking for enthusiastic researchers at all levels to join an exciting interdisciplinary research consortium addressing „Dynamic Auditory Predictions in Human and Non-human Primates (Dynamates)". It rests on a strong collaboration between cognitive neuroscience, cognitive biology, and computational modeling – for more information, visit our Dynamates website <https://www.kfs.oeaw.ac.at/dynamates>. The following positions are immediately available under my supervision at the Acoustics Research Institute of the Austrian Academy of Sciences: Postdoc <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF083PD220.pdf> focussing on computational models explaining the causal relationship between neural activity (EEG) and perception/behaviour in humans PhD Student <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF082DOC220.pdf> focussing on computational models for comparative behaviour Research Assistant <https://www.oeaw.ac.at/fileadmin/subsites/Jobs/ISF081STUD220.pdf> helping with (mainly EEG) data collection They are open until appropriate candidates are found. The 1st round of evaluation will start on Sept 1, 2020. Feel free to distribute! Best, Robert — Robert Baumgartner, PhD YIRG Leader | Research Associate Acoustics Research Institute Austrian Academy of Sciences Wohllebengasse 12-14, 1040 Vienna, Austria +43 1 51581-2527 Robert.Baumgartner(a)oeaw.ac.at https://www.kfs.oeaw.ac.at/baumgartner Like us on Facebook <https://www.facebook.com/SCHALLFORSCHUNG.OEAW/> Follow us on Twitter/oeaw <https://twitter.com/oeaw?lang=en> Visit us on Youtube <https://www.youtube.com/channel/UCY3rUdfN-VCjvfUWojWkayQ>

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Phd/Postdoc position for research on interpretable Deep Learning and brain modelling
by Wolfgang Maass 18 Aug '20

18 Aug '20

We are looking for a highly talented and motivated Phd student or Postdoc to complement our team in the Faculty for Computer Science and Biomedical Engineering of Graz University of Technology in Austria. The researcher will work on advancing Deep Learning and methods for understanding its outcomes ("interpretable AI") for applications to large data-based cortical microcircuit models, using state-of-the-art supercomputing facilities. The goals are to elucidate the organization of computing and learning in neural networks of the brain, and to develop on this basis spike-based AI methods. The research will be based on recently developed algorithms and TensorFlow software for spiking neural networks, as published for example in G. Bellec, D. Salaj, A. Subramoney, R. Legenstein, and W. Maass. Long short-term memory and learning-to-learn in networks of spiking neurons. 32nd Conference on Neural Information Processing Systems (NIPS 2018), https://igi-web.tugraz.at/PDF/243.pdf G. Bellec, F. Scherr, A. Subramoney, E. Hajek, D. Salaj, R. Legenstein, and W. Maass. A solution to the learning dilemma for recurrent networks of spiking neurons. Nature Communications, 2020. .https://www.nature.com/articles/s41467-020-17236-y.pdf F. Scherr, C. Stoeckl, and W. Maass. One-shot learning with spiking neural networks. bioRxiv, 2020. https://igi-web.tugraz.at/PDF/256.pdf This is a fully funded research position in the Human Brain Project of the EU, which offers an exciting international interdisciplinary research environment. Requirements: --strong mathematical background and analytical skills --deep interest in understanding the function of neural networks in the brain --excellent programming skills --very good knowledge in Machine Learning Please send your CV, grades, motivation letter, and links to pdf of your master thesis and other relevant preceding work to charlotte.rumpf(a)tugraz.at -- Prof. Dr. Wolfgang Maass Institut fuer Grundlagen der Informationsverarbeitung Technische Universitaet Graz Inffeldgasse 16b , A-8010 Graz, Austria Tel.: ++43/316/873-5822 Fax ++43/316/873-5805 http://www.igi.tugraz.at/maass/Welcome.html

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Neurodata Without Borders (NWB) User Days Workshop - September 21-23
by Ryan Ly 17 Aug '20

17 Aug '20

Neurodata Without Borders (NWB) is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build analysis tools for neurophysiology data. NWB is designed to store a variety of neurophysiology data, including data from intracellular and extracellular electrophysiology experiments, data from optical physiology experiments, behavioral data, and stimulus data. The NWB Team will be hosting the 9th NWB User Days Workshop remotely on September 21-23. The workshop schedule will be centered on Central European Time (UTC+2) and will focus primarily on user training, including lessons for complete beginners to NWB. Come learn how to get your data into the NWB data standard and use state-of-the-art data analysis, visualization, and management tools with NWB, e.g., Brainstorm, CaImAn, calciumImagingAnalysis, DANDI, DataJoint, MIES, NWB Explorer, NWB Widgets, SpikeInterface, and suite2p. Event page: https://neurodatawithoutborders.github.io/nwb_hackathons/HCK09_2020_Remote/ Register here: https://bit.ly/2PHbE34 (it's free) Learn more about NWB at our website: https://www.nwb.org/ Best, The NWB Team -- Ryan Ly Scientific Data Engineer Lawrence Berkeley National Laboratory 1 Cyclotron Road Mail Stop 59R4104 Berkeley, CA 94720 Email: rly(a)lbl.gov Pronouns: he/him

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Neural Data Analysis Online Course
by Maryam 17 Aug '20

17 Aug '20

You are invited to “Neural Data Analysis Online Course” Dear Sir, Madam; ScienceBeam, which is a forefront technology provider of neuroscience applications, would like to take the opportunity to invite you for 10-session “Neural Data Analysis Online Course” that is going to start on September 7, 2020. During this course you will learn: ( Programming fundamentals: Variables, plots, loops ( How to compare ERPs in a statistical way: confidence intervals and bootstrapping ( EEG spectrum and spectrogram: from time to frequency and time-frequency ( More on spectrum: windowing and zero padding ( Analysis of coupled rhythms: covariance and coherence ( Filtering, filtering, and filtering! ( Cross-frequency coupling and Hilbert transform ( Brain states in sleep and Hidden Markov Model Hamed Yeganegi, PhD researcher in systems neuroscience, Technical University of Munich, Germany, is the instructor of this course. He is also a member of German Neuroscience Society (NWG) and Member of Federation of European Neuroscience Societies (FENS). Registration is open until September 4th. You won’t want to miss this! Don’t hesitate and register from the link below: Register NOW ! If you needed more information please contact us via Whatsapp or Mail: Whatsapp number: +86 133 8078 1282 Email: workshop(a)sciencebeam.com www.sciencebeam.com

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One Fellow position for closed-loop systems in neuroengineering @IIT Genova, ITALY
by Michela Chiappalone 17 Aug '20

17 Aug '20

Dear Comp-Neuro community, A new opening for a 12-months fellowship position at the Pre-Doctoral level is available in our team, under the supervision of Dr Stefano Buccelli and myself at the Rehab Technologies Lab of the Istituto Italiano di Tecnologia (IIT), located in Genova at the IIT Center for Convergent Technologies. The fellow will carry out research on the development of a novel closed-loop architecture for applications in neuroengineering. More information on the position can be found below in this email. The application link can be found here: https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=2000002C The call expires on September 7th, 2020. Please forward this message to all the interested students. Thank you and best regards, Michela Chiappalone & Stefano Buccelli ---------------------------------------------------------------------------------------------------------------------------------------------------------------- One Fellow position for the development of a reference architecture for closed-loop systems for neuroengineering applications The Rehab Technologies INAIL-IIT lab, (http://rehab.iit.it/) at Istituto Italiano di Tecnologia (IIT), Genova, Italy, is seeking to appoint one Fellow at the pre-Doctoral level to carry out research on the development of novel closed-loop architecture for applications in neuroengineering. The Rehab Technologies Lab is an innovation lab aimed at developing new high tech prosthetic, orthotic and rehabilitation devices of high social impact and market potential. The Lab is primarily focused on disability and rehabilitation, and exploits a co-creation process which involves scientists, patients and therapists in all the phases of the design, realization and testing of devices developed within the lab. The Neuroengineering area of Rehab Technologies is focused on neural interfaces and neurorehabilitation. The team has a multidisciplinary expertise in engineering and neuroscience, with skills in in vitro/in vivo electrophysiology, signal processing of neural data (spikes, LFP, EEG), closed-loop systems, neurostimulation and innovative neuroprostheses. The primary research goals of the team consist of designing and testing novel 'personalized' neuroengineering solutions for brain repair and extracting functional biomarkers of recovery induced by the rehab-related training. In modern neuroscience, closed-loop systems delivering stimulation depending on to the actual brain state demonstrated to improve the efficacy of a therapy, also reducing the number of side effects. To build a closed-loop system, three steps are needed: reading, interpreting and writing the neural code. To 'read' the neural code, we need to record neural activity, by using either invasive or non-invasive techniques. 'Interpreting' or decoding the neural activity is obtained by means of (real-time) signal processing techniques. To 'write' the neural code, usually an electrical simulation approach is adopted (but other options are available). Nowadays, given the increased number of recording sites that can be acquired at the same time, there is a big demand for high-performance signal processing techniques in both clinical practice and basic research. Field-Programmable Gate Arrays (FPGA) are one of the most interesting options for the implementation of high-performance computations and are usually chosen as a first step towards the development of standalone devices. Learning how to implement an algorithm on FPGA can be prohibitive for non-experts and thus it is preventing many neuroscientists from realizing innovative closed-loop systems. Within this framework and to reduce the entry barrier in the development of closed-loop architectures on FPGA, this project will built up a rapid-prototyping, reference architecture for closed-loop neuroengineering applications by exploiting a model-based design approach (in Simulink). This will be reached by means of the following specific objectives: 1. Build a reference Simulink model to process neural data. 2. Take advantage of the HDL coder and the Fixed-Point Designer to implement the model on FPGA; 3. Establish use cases on commercially available systems (e.g. INTAN Stimulation/Recording system). The project will be carried out at the Rehab Technologies Lab of IIT, located in Genova at IIT Center for Convergent Technologies. To face this technological challenge, the Rehab Technologies Lab will share resources, competencies and motivation to achieve excellent results transferable to the neuroengineering field and, later, to clinics. We are looking for a highly motivated, outstanding candidate with the following profile: - A solid background in biomedical/electronics engineering - Strong programming skills, especially with the MathWorks products (Matlab, Simulink) - Master Degree in one of the above field (already obtained or to be obtained in the next two months) - Good communication skills and ability to cooperate - Proficiency in English Desirable skills: - Experience with Verilog/VHDL During this period, the selected candidate will develop the following skills and experience: - Principle of Neuroengineering and its applications - Model-based Design and Rapid Prototyping - Closed-loop architectures - Basic Electrophysiological skills - Interactions within a multidisciplinary Lab and for an International project To apply, please send your CV, title of the Master Thesis and (foreseen) date of graduation, cover letter and name and contacts of one/two referees using the form online. Deadline: September 7, 2020. Istituto Italiano di Tecnologia (IIT), with its headquarters in Genova, Italy, is a non-profit institution with the primary goal of creating and disseminating scientific knowledge and strengthening Italy's technological competitiveness. The institute offers state-of-the-art equipment and a top-level interdisciplinary research environment focused on robotics and computer vision, neuroscience, drug discovery, nanoscience and technology. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Please note that the data that you provide will be used exclusively for the purpose of professional profiles' evaluation and selection, and in order to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, based in Genoa, Via Morego 30, acting as Data Controller, in compliance with the rules on protection of personal data, including those related to data security. Please also note that, pursuant to articles 15 et. seq. of European Regulation no. 679/2016 (General Data Protection Regulation), you may exercise your rights at any time by contacting the Data Protection Officer (phone +39 010 71781 - email: dpo[at]iit.it). ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD Researcher Rehab Technologies IIT-INAIL Lab Phone : +39 010 71781743 E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it<http://www.iit.it>

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Web Conference /DMSE 2020, Denmark - Deadline Approaching[Third Batch Call for Submissions] .
by Fredrick Johnson 13 Aug '20

13 Aug '20

International Conference on Data Mining and Software Engineering (DMSE 2020) September 26 ~ 27, 2020, Copenhagen, Denmark *WIKICFP Call* : http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=111118&copyownerid… *DBWORLD Call* : http://www.cs.wisc.edu/dbworld/messages/2020-08/1597292447.html Scope & Topics International Conference on Data Mining and Software Engineering (DMSE 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Data mining and Software Engineering. The goal of this conference is to bring together researchers and practitioners from academia and industry to focus on understanding Data mining and modern software engineering concepts and establishing new collaborations in these areas. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of data mining and software engineering. Topics of interest include, but are not limited to, the following • Advanced Topics in Software Engineering • Data Mining Applications • Computer Education • Data Mining in Modeling, Visualization, Personalization and Recommendation • Data Mining Systems and Platforms, Efficiency, Scalability and Privacy • Embedded System and Software • Foundations, Algorithms, Models, and Theory • Knowledge Processing • Knowledge-based Systems and Formal Methods • Languages and Formal Methods • Managing Software Projects • Mining Text, Semi-Structured, Spatio-Temporal, Streaming, Graph, Web, Multimedia • Multimedia and Visual Software Engineering • Quality Management • Search Engines and Information Retrieval • Software Engineering Decision Making • Software Engineering Practice • Software Maintenance and Testing • Software Process • Web Engineering • Web-based Education Systems and Learning Applications Accepted Papers List Learning for E-Learning-Aalen University, Germany. Magnetic Resonance Image Classification of Major Depression Disorder Based on Deep Learning-Beijing Technology and Business University, Beijing, China COSM: Controlled Over-sampling Method. A Methodological Proposal to Overcome the Class Imbalance Problem in Data Mining-CIRA (Italian Aerospace Research Centre),Italy A Process for Complete Autonomous Software Display Validation And Testing (Using A Car-cluster)-SAP Labs India Pvt Lmt.,India Analysis of the Displacement of Terrestrial Mobile Robots in Corridors Using Paraconsistent Annotated Evidential Logic Et-Bialystok University of Technology,Poland A Study on the Minimum Requirements for the On-line, Efficient and Robust Validation of Neutron Detector Operation and Monitoring of Neutron Noise Signals using Harmony Theory Networks-University of Piraeus, France Penalized Bootstrapping for Reinforcement Learning in Robot Control-University of Bonn,Germany Deep Reinforcement Learning for Navigation in Cluttered Environments-University of Bonn, Germany New Hybrid Artificial Intelligent Models Basedon Optimized-support Vector Machine and Locallylinear Neuro fuzzy for the Supplier Assessment Problem-Islamic Azad University, Iran IoT Learning Model for Smart Universities: Architecture, Challenges, and Applications-Whitecliffe College of Technology & Innovation, New Zealand The Principles of the Law General on the Protection of Personal Data and their Importance-Paulista University, Brazil. Controlled Machine Text Generation of Football Articles-University of Warsaw, Poland On the Comparison of Deep Neural Networks for Document Retrieval-Institute for Community Medicine, Germany Evaluationn of Company Investment value based on Machine Learning-Beijing University of Technology, China Performance evaluation of Precoded Band Codes and Hamming Norm Decoders in Random Linear Network Coding-National Engineering School of Tunis, Tunisia Neurological Signals Compression and Encryption for Security Transmission Based on IOMT: A Tele-neurological Diagnosis-University of Anbar, Iraq. Paper Submission Authors are invited to submit papers through the conference Submission System . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Here’s where you can reach us : dmse(a)dmse2020.org or dmsesecretary(a)gmail.com Submit your work Today! Regards, Fredrick.

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Post-doctoral Research position at Johns Hopkins BME
by Adam Charles 11 Aug '20

11 Aug '20

Dear Comp-neuro community: Please see below for a post-doctoral opportunity in my lab at The Johns Hopkins University Department of Biomedical Engineering. Link: https://www.bme.jhu.edu/ascharles/open-positions/ Warmest regards, -Adam ----------------------- Adam S. Charles Assistant Professor Department of Biomedical Engineering The Johns Hopkins University Baltimore, MD, 21218 ----------------------------------------------------------------------------------- I am pleased to announce a postdoctoral position in computational imaging, computational neuroscience and data science at the Johns Hopkins University Department of Biomedical Engineering in the lab of Adam Charles. This project is aimed at advancing the capabilities of functional fluorescence microscopy for neural recordings via new computational tools, including machine learning “at the sensor” and machine learning/signal processing for image analysis and interpretation. Neural imaging is an exciting field and this position offers opportunities to develop a range of new models and algorithms to address the unique challenges in fast and accurate fluorescence imaging and analysis. In addition, this project offers opportunities to interface with experimental collaborators. Applicants should hold a PhD in Engineering, Mathematics, Physics, Neuroscience or a related field with a strong research record. Applications should have demonstrated the ability to work collaboratively on quantitative problems. Applicants with experience in machine learning, signal processing, compressive sensing, computational imaging or computational neuroscience are especially encouraged to apply. Excellent written and oral communication skills in English are also required. This position is open immediately and will remain open until filled. The position is initially for 12 months with the possibility and expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to adamsc(a)jhu.edu with the subject line "Computational imaging postdoc". Applications will be reviewed on a rolling basis and should be received by September 1 for full consideration. If the current COVID19 situation will delay the ability to apply by this deadline, please send a short note indicating that you intend to apply. Johns Hopkins University is a leader in biomedical engineering, imaging science, and neuroscience. The Department of Biomedical Engineering at Hopkins, along with the Center for Imaging Science (CIS), Kavli Institute for Neuroscience and Mathematical Institute for Data Science (MINDS) form a strong interdisciplinary computational community. JHU has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer.

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PhD position on human resource rationality
by Dominik Endres 11 Aug '20

11 Aug '20

We offer a PhD position in the research training group RTG 2271 "Breaking Expectations" https://www.uni-marburg.de/en/fb04/rtg-2271[1] in the department of Psychology at the Philipps-Universität Marburg. In this sub-project, we investigate whether individual humans are Bayesian resource- rational learners under naturalistic conditions where possible (virtual reality), and in online experiments. Specifically, we will compare the learning dynamics of these models and their dealing with expectation violations to human behavior. One possible application direction are models of chronic and acute pain perception and prediction. The project requires a keen interest in the computational and mathematical modeling of human experimental data. Interest in designing and carrying out such experiments is a plus. Benefits of membership in the GRK 2271 include: - scientific exchange with a vibrant community of PhD students and PIs of the other projects - possibility of (funded) lab visits with international mentors/collaborators - yearly retreats in the scenic Kleinwalsertal Formal requirements are: * a qualified degree in psychology, or computer science, or cognitive science, or engineering, or physics (Master, Diploma, or comparable) as well as * demonstrable programming experience in a high-level language, e.g. Python or Matlab. We expect you to be interested in: * the topic of the project (to be documented in a motivation letter [1 page max], in which you may refer to prior experiences, for instance, a thematically pertinent thesis, student research assistant positions, etc.) * quantitative modeling * developing virtual-reality scenarios and technology for research purposes Advantageous qualifications are: * prior exposure to machine learning, associative, Bayesian or other mathematical learning models and Bayesian statistics * willing to learn basic German language skills Application deadline: 28.08.20 For further information, please contact Prof. Dominik Endres (dominik.endres@uni- marburg.de[2]). The official job advert can be found here (deadline has been extended to 28.08.20): https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0026-wmz-310720- engl.pdf[3] -- Prof. Dr. Dominik Endres AE Theoretische Kognitionswissenschaft Allgemeine und Biologische Psychologie FB Psychologie, Gutenbergstr 18, 35032 Marburg, Germany Tel. +49-(0)6421-28-23818 -------- [1] https://www.uni-marburg.de/en/fb04/rtg-2271/beschreibung [2] mailto:dominik.endres@uni-marburg.de [3] https://www.uni-marburg.de/de/universitaet/administration/verwaltung/dezern… personalabteilung/bewerber/stellen/wissenschaftliche-stellen/fb04-0026-wmz-310720- engl.pdf

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Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland)
by Milekovic Tomislav 09 Aug '20

09 Aug '20

Senior Scientist – Stroke position at the NeuroRestore center (Lausanne, Switzerland) Location The Defitech Center for interventional Neurotherapies (NeuroRestore) is a research and innovation center joining EPFL’s lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. We conceive, develop and apply medical therapies aimed to restore neurological functions. To this end, we integrate implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, we are committed to validate our medical therapy concepts. Our overarching goal is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Opportunity Over the last decade, research labs under the NeuroRestore umbrella have achieved breakthroughs for the treatment of spinal cord injury and Parkinson’s disease. Our recent studies indicate that similar approaches may lead to novel therapies for stroke. Therefore, we decided to build a strong research core focused on gaining deeper understanding of stroke and resulting neurological deficits, and on developing therapies that leverage the gained understanding to replace or restore motor functions impacted by stroke. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge concepts of medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. Position Summary The Senor Scientist – Stroke will bring their expertise and experience to build and then lead the stroke research core of the NeuroRestore center. They will develop original research projects across the whole stroke therapy development spectrum, starting from mechanistic understanding of stroke and resulting neurological and motor deficits, over preclinical tests of therapy concepts designed to take advantage of uncovered mechanisms, to clinical validation of therapies designed to alleviate motor deficits secondary to stroke. They will form and lead teams of NeuroRestore postdoctoral scientists, doctoral students, engineers and clinicians to execute these projects. They will train other scientists in their expert techniques and supervise junior scientists working on their projects. They will disseminate the results of their projects through research publications and conference talks and support preparation of scientific conference presentations and publications of other NeuroRestore personnel that works on stroke-related projects. They will take part in writing grant application that will support stroke-related projects. Responsibilities - Identify unmet clinical needs of stroke survivors and monitor the development of the medical neurotech sector to find opportunities for novel, feasible and rapidly realizable stroke therapies - Conceive, organize and plan out research projects - Form and leads teams to execute conceived research projects - Utilize their academic / clinical industry network to form collaborations that will help execute conceived research projects - Assess the project needs, identify relevant personnel and resources, and take part in hiring technical and scientific personnel to build skilled project teams - Train the NeuroRestore personnel in their area of expertise - Run project progress meetings, report on project progress, plan and manage the dissemination of project results - Take part in writing of funding applications to initiate new projects, strengthen / accelerate ongoing projects, or enhance ongoing collaborations - Develop and maintain connections with science labs and clinical centers to facilitate rapid animal and clinical testing of concepts and prototypes of medical treatments - Manage efforts to obtain regulatory approvals for animal studies and clinical trials to validate the concepts of medical therapies - Represent the Neurorestore Center at symposiums and conferences through talks and presentations Personal Traits - Passionate about the development of neurotechnologies that aim to alleviate movement disabilities of stroke - Thriving in a cutting edge, fast-paced, multidisciplinary environment - Self-starter and independent worker with an ability to identify innovative approaches and solutions - Attention to detail - Independent thinker and passionate problem solver Skills - Ability to independently conceive original research projects - Capacity to supervise several research projects in parallel - Capability to successfully lead research teams, and maintain collaborations with external partners - Strong verbal and written presentation skills in English - Experience with leading animal research projects and/or projects under the framework of clinical trials and studies - Track record of obtaining regulatory approvals for animal studies and/or clinical trials - Strong experience with writing project proposals, project progress reports and research articles - Experience in disseminating project progress through talks, presentation and publications - Experience in physiological signal acquisition and signal analysis - Capacity to identify skill gaps and hire personnel to fill them - Experience with writing, filling and obtaining patents - Advanced presentation skills (PowerPoint, Photoshop, Illustrator) - Willingness to travel in order to form / maintain collaborations - Possessing a strong academic, clinical, regulatory and industry network and the ability to use it to organize collaborative projects Experience - Doctoral degree (PhD) - 6 or more years of experience working in the fields of neuroscience / neuroengineering (including the PhD studies) - 3 or more years of experience in stroke-related research - Strong publication record in the stroke field Contact Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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PhD position in machine learning at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 09 Aug '20

09 Aug '20

PhD position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance computational models of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded PhD position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. PhD salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: A therapy based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae. Yet, clinically available electrode arrays used to deliver the EES were not designed to target individual spinal roots. Data-driven design of the electrode arrays has the potential to substantially improve the specificity of spinal EES and, therefore, dramatically improve the recovery of people with spinal cord injury. The efficacy of EES can be enhanced through computational algorithms capable of designing EES protocols that fully utilize the interaction between the electrode array and patient's anatomy. These two developments are critical for deployment of the EES-based therapy to clinics around the world to help millions of people suffering from spinal cord injury. We have created a computational pipeline capable of creating detailed computational models of spinal columns from CT, MRI and fMRI recordings. These hybrid models are composed of 3D finite element models (FEM) to characterize the electric current and potential in the spinal cord of individuals, and various abstractions of compartmental cable models and network models of spinal cord neuronal populations and their connections to calculate the effects of EES on the spinal networks and, in turn, the activation of muscles. This computational approach has the potential to optimize the efficacy of EES on a personalized basis, lead to novel superior electrode array designs, and further our understanding of the mechanisms by which spinal cord controls movement. The successful candidate will work to automatize our computational pipeline in order to make the described approaches useful in applied clinical practice. They will work on the development of efficient and robust computer vision algorithms to automatically segment medical imaging datasets. They will also further develop our computational pipeline to enable automatic definition of personalized EES stimulation protocols. Furthermore, they will implement a computational framework around our pipeline that can perform a large-scale and diverse sensitivity and uncertainty analysis. This framework will be critical to enhance the efficacy and explore possible novel applications of spinal cord EES. Prerequisites: - Master's Degree in Physics, Computer Science, Mathematics, Microengineering, Electrical Engineering or related - Proficiency in Python, Matlab and C++ - Experience with computer vision and / or other machine learning techniques - Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to MachineLearningPhD.Courtine(a)gmail.com. Informal inquiries are welcome.

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Postdoc in machine learning at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 09 Aug '20

09 Aug '20

Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Machine learning techniques to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson's disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae to increase the activation of the spinal motor pools that, in turn, move the muscles. Yet, the efficacy of the EES-based therapies relies on synchronizing users' movement intentions with the spatiotemporal stimulation protocols that reliably and accurately generate paralyzed movements. Due to the large state space of all the stimulation parameters (location, amplitude, frequency, etc.) efficacy of the therapy depends on the fast and accurate initialization of the stimulation protocols. As the patients use the stimulation, small movements of the array, as well as changes in spine position due to users' posture can reduce the usability of the stimulation. Stimulation efficacy can be enhanced by dynamically adjusting the stimulation protocols to changes to the way how to users' spinal cord reacts to stimulation. Finally, the functional use of the stimulation largely depends on the accurate timing of stimulation delivery. Machine learning approaches that infer users' intentions based on behavioral, physiological or neural recordings can vastly improve the synchronization between intended and therapy-supported movements and, therefore, play a critical role in achieving functional recovery of patients. While the current medical devices mostly support block-based stimulation protocols that remain constant for hundreds of milliseconds, upcoming devices will enable changes of stimulation at a millisecond resolution, thus opening a new field for machine learning approaches that exploit these capabilities. The successful candidate will work to develop, implement and apply machine learning algorithms and approaches to enhance EES-based therapies. Specifically, he will: * Design the mapping procedures for the generation of transfer functions that relate the continuously-controlled stimulation to the evoked muscle activity. * Develop algorithms that automatically adjust these transfer functions as the interaction between patients and their EES-based therapy evolves. * Implement machine learning techniques that utilize users' behavioral, physiological and neural signals to continuously synchronize the delivery of stimulation with the users' movement intentions. * Lead the team that develops machine learning methods to initialize and adjust block-based EES protocols. * Assist and oversee the development and implementation of machine learning methods that use inference of discrete motor events to synchronize block-based EES protocols with the users' intentions. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge machine learning concepts within medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson's disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Strong background in quantitative data analysis * Experience with applying multiple machine learning techniques to behavioral, physiological, biological and/or neural datasets * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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Postdoc position in computational modelling at EPFL (Lausanne, Switzerland)
by Milekovic Tomislav 09 Aug '20

09 Aug '20

Postdoc position in the lab of Prof. Gregoire Courtine at EPFL (Lausanne, Switzerland) Data-driven computational modelling to develop and enhance clinical treatments based on electrical stimulation of the spinal cord Location: The laboratory of Prof. Gregoire Courtine at the Swiss Federal Institute of Technology (EPFL) in Lausanne, Switzerland, is looking to fill a fully funded postdoc position. The qualified candidate will benefit from joining a very dynamic and multidisciplinary group working at the interface of computational neuroscience, neuroengineering, prosthetics and biology. EPFL provides state-of-the-art facilities and is one of the leading technical universities worldwide. Postdoc salaries at EPFL rank the highest in the world. Opportunity: The offered position will be based at the Defitech Center for interventional Neurotherapies (NeuroRestore) - a research and innovation center joining EPFL's lab of Prof. Gregoire Courtine and the University Hospital of Lausanne (CHUV) lab of Prof. Jocelyne Bloch. NeuroRestore conceives, develops and applies medical therapies aimed to restore neurological functions. To this end, NeuroRestore integrates implantable neurotechnologies with innovative treatments developed through rigorous preclinical and clinical studies. By working with our network of vibrant high-tech start-ups and established medical technology companies, NeuroRestore is committed to validate our medical therapy concepts. The overarching goal of NeuroRestore is to see our medical therapies used every day in hospitals and rehabilitation clinics worldwide. Description: Therapies based on epidural electrical stimulation (EES) of the spinal cord can restore the ability to walk to people paralyzed by spinal cord injury, and alleviate gait deficits of people with Parkinson's disease. EES does this by recruiting sensory axons within dorsal spinal roots that enter the spinal cord between the vertebrae. Yet, clinically available electrode arrays used to deliver the EES were not designed to target individual spinal roots. Data driven design of the electrode arrays has the potential to substantially improve the specificity of spinal EES and, therefore, dramatically improve the recovery of patients. Pre-operative planning and intra-operative assistance based on accurate models of the spine can de-risk the surgery needed to implant the electrode arrays and increase the efficacy of the EES-based therapies. The efficacy of EES can be further enhanced through computational algorithms capable of designing EES protocols that fully utilize the interaction between the electrode array and patient's anatomy. These developments are critical for deployment of the EES-based therapy to clinics around the world to help millions of people suffering from spinal cord injury and Parkinson's disease. We have created a computational pipeline capable of creating detailed computational models of individual persons' spinal columns from CT, MRI and fMRI scans. These hybrid models are composed of: * 3D finite element models (FEM) to characterize the electric current and potential in the spinal cord of individuals. * Compartmental cable models to characterize numerous axon pathways that distribute the information from the spinal cord to rest of the body. * Network models of spinal cord neuronal populations to calculate the effects of EES on the spinal networks and, in turn, the activation of muscles. This computational approach has the potential to optimize the efficacy of EES on a personalized basis, lead to novel superior electrode array designs, and further our understanding of the mechanisms by which spinal cord controls movement. The successful candidate will work to generate highly accurate models of individual human and animal model spines and apply those models to revolutionize the EES-based therapies. Specifically, he will: * Use spinal models to generate new spinal electrode array designs, develop procedures for pre-operative planning and intra-operative assistance, and create methods that determine stimulation protocols from the spinal models. * Lead the work to extend our lumbosacral spinal cord models to thoracic and cervical spinal regions. * Integrate data from ever-more accurate invasive and non-invasive medical imagining and physiology techniques to enhance the accuracy of spinal models. * Coordinate integration of new findings on spinal neuronal populations, spinal networks and spinal pathways into our spinal models. * Assist and oversee the development of tools to automatize the process of spinal model generation. By integrating well-equipped and expertly staffed rodent, non-human primate and clinical research facilities, NeuroRestore provides an ideal substrate for rapidly developing, integrating and clinically validating cutting-edge computational modeling concepts that support medical therapies, with the capacity to push successfully proven concepts into the technology transition phase. The successful candidate will have access to these animal platforms and will work within the framework of multiple NeuroRestore clinical trials with people with spinal cord injury and Parkinson's disease. They will benefit from the possibility of validating their concepts in animal experiments and implementing them within the therapies being tested in the clinical trials. Prerequisites: * Doctoral degree (PhD) * Proficiency in Python, Matlab and C++ * Experience with finite element models, compartmental cable models and neurobiomechanical models * Experience in NEURON and/or NEST * Experience in OpenSim, Mujoco or Webots * Good written and verbal skills in English Contact: Applications including a CV and a cover letter describing your background and interest should be sent to tomislav.milekovic(a)epfl.ch<mailto:tomislav.milekovic@epfl.ch>. Informal inquiries are welcome.

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Post-doctoral scientist position at the Steinmetz Lab, University of Washington, Seattle
by Nick Steinmetz 06 Aug '20

06 Aug '20

The Steinmetz Lab at the University of Washington in Seattle ( www.steinmetzlab.net) is seeking applications for a position as a post-doctoral scientist. The scientist will work on data analysis and modeling in order to advance our large-scale electrophysiology technologies and our understanding of distributed computation across the brain. The primary focus of the position is the ‘Neuropixels Ultra’ project, in which we are developing novel electrophysiological technologies in collaboration with colleagues at the Allen Institute for Brain Science and with Johns Hopkins University. In addition to work on that specific project, the scientist will have access to cutting-edge large-scale datasets that combine behavior, electrophysiology, imaging, and optogenetics, and will have the ability to work creatively on questions of their own choosing, including helping to guide novel experimental data collection as necessary. The position is funded for 3 years by an NIH BRAIN Initiative grant, and is eligible to start immediately. It is expected that the scientist will eventually be based in Seattle, but a remote start is negotiable considering health concerns related to the ongoing global pandemic. The successful candidate is expected to have a Ph.D. in neuroscience or in relevant quantitative fields such as physics, computer science, statistics, or mathematics, and is expected to have a strong background and interest in data analysis methods in neuroscience, including such approaches as signal processing, linear algebra, and dynamical systems. We are located at the University of Washington, and have close collaborations with the Computational Neuroscience Center, the Swartz Center for Theoretical Neuroscience, the UW Institute for Neuroengineering, and the Allen Institute for Brain Science, which together create a lively community of computationally-minded neuroscientists on and near campus. The Steinmetz Lab is committed to making neuroscience a more open and inclusive field, so we strongly encourage applications from individuals with non-traditional backgrounds or from underrepresented groups. To apply, please send a CV and a brief statement of your background and interest in the position to Nick Steinmetz at nick.steinmetz(a)gmail.com. Informal inquiries are welcome - please get in touch if you would like more information! We aim to start this position as soon as possible so please be in touch by Friday Aug 21.

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Free online workshop on spiking neural networks as universal function approximators, Aug 31-Sep 1
by Dan Goodman 06 Aug '20

06 Aug '20

We are holding a free, online workshop on new approaches to training spiking neural networks. Details and registration at: https://neural-reckoning.github.io/snn_workshop_2020/ The last years have seen many exciting new developments to train spiking neural networks to perform complex information processing. This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. Speakers: * *Sander Bohte* (CWI) * *Iulia M. Comsa* (Google) * *Franz Scherr* (TUG) * *Emre Neftci* (UC Irvine) * *Timothee Masquelier* (CNRS Toulouse) * *Claudia Clopath* (Imperial College) * *Richard Naud* (U Ottawa) * *Julian Goeltz* (Uni Bern) Please pass this message on to anyone you think would be interested. Many thanks, Dan Goodman and Friedemann Zenke

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Postdoctoral position in neuroscience model curation / reproducible research
by Andrew Davison 05 Aug '20

05 Aug '20

A position in neuroscience model curation and verification is available within the Neuroinformatics research group of the Paris-Saclay Institute of Neuroscience, as part of the Human Brain Project. The successful candidate will be responsible for verifying the reproducibility of models produced by the Human Brain Project and/or published through the EBRAINS research infrastructure. This will involve working with scientists from many institutions to ensure their code is usable by others, and that it reliably reproduces the results shown in associated publications. It is expected that the candidate will develop workflows to automate this verification process as much as possible. Applicants should have a PhD in neuroscience, computer science, library/information science, or a closely related discipline, preferably with experience of computational modelling. Experience of simulation tools often used in computational neuroscience, such as NEURON, NEST or Brian, would be of particular benefit; knowledge of computer programming (in Python, C++, MATLAB or other) is essential. Knowledge of French would be helpful but is not required, as English is the working language of the project. The Paris-Saclay Institute of Neuroscience (https://neuropsi.cnrs.fr/en/institute-home/) is a research unit of the CNRS and the Université Paris-Saclay, located in Gif sur Yvette, about 40 minutes from central Paris. The Neuroinformatics research group (https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/ <https://neuropsi.cnrs.fr/en/icn-home/andrew-davison/>) develops novel informatics tools and approaches for neuroscience data sharing, modelling and simulation, and for brain-inspired computing. This post is funded by the Human Brain Project, an EU Flagship initiative in which over 100 partners work together to build a completely new information computing technology infrastructure for neuroscience and for brain-related research in medicine and computing. To apply, visit https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-005/Default.aspx <https://emploi.cnrs.fr/Offres/CDD/UMR9197-ANDDAV-005/Default.aspx> Informal inquiries to andrew.davison(a)cnrs.fr <mailto:andrew.davison@cnrs.fr> are welcome. Application deadline 17th August 2020

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Postdoctoral, predoctoral, and data scientist positions: causal inference
by Jan Drugowitsch 05 Aug '20

05 Aug '20

How do our brains interpret sensory inputs to determine how we move through the world? How do the objects we perceive in the environment shape these interpretations? And what happens when these objects are themselves moving? We will address these questions in a multi-institution project that examines neural and computation mechanisms of causal inference in the context of interactions between perception of object motion, self-motion, and depth. We are looking for talented and creative scientists to join our effort. We are offering multiple positions for postdoctoral fellows, graduate research assistants, and a data scientist as part of a BRAIN Initiative U19 project focused on the neural mechanisms of causal inference. This multi-institution project involves experimental and computational/theoretical laboratories at the University of Rochester (Drs. Greg DeAngelis and Ralf Haefner), Harvard Medical School (Dr. Jan Drugowitsch), New York University (Dr. Dora Angelaki), Baylor College of Medicine / Rice University (Dr. Xaq Pitkow), and the University of Washington (Dr. Greg Horwitz). The project is highly collaborative and interactive, involving high-density electrophysiological recordings in both macaque monkeys and mice, optogenetic manipulations in monkeys, development of novel dynamical theoretical frameworks, application of high-dimensional neural analyses, and establishment of a data analysis and storage platform across laboratories. For the theoretical/computational efforts, candidates are expected to have a background in a quantitative field like computational neuroscience, machine learning, reinforcement learning, statistics, physics, etc.. For the experimental efforts, candidates are expected to have a background in neuroscience, experimental psychology, biomedical engineering, or a related field, and previous research experience in systems neuroscience is highly beneficial. Successful candidates will work primarily at one of the participating institutions but will collaborate broadly with team members across institutions. Candidates should submit their CV, a statement of research interests, and the names and contact information for three references. Please consult https://www.indeed.com/job/postdoctoral-predoctoral-and-data-scientist-posi… for further details, and for how to apply.

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Postdoctoral positions in computational neuroscience, sleep, and developmental neurophysiology
by Blumberg, Mark S 04 Aug '20

04 Aug '20

We are seeking to fill multiple positions for highly skilled and motivated postdoctoral scholars. Successful applicants will learn to perform experiments in neurophysiology and sleep, as well as develop computational models based on years of spike and LFP data collected in infant rats and, more recently, human infants. We have developed state-of-the-art multisite recording methods to detect neural activity in cortex, hippocampus, thalamus, cerebellum, and brainstem in developing rats and relate that activity to changes in sleep-wake states and limb movements (captured using high-speed video and tracked using DeepLabCut). Unique opportunities abound for analyzing and modeling these complex datasets to reveal functional changes in neural activity across the first several postnatal weeks. Among other things, we are investigating the integration of corollary discharge and reafferent signals, the role of state-dependent neuromodulation, and the contributions of neural oscillations to the emergence of functionally connected brain regions. Please visit the lab’s homepage<https://psychology.uiowa.edu/blumberg-lab> and read our recent papers<https://psychology.uiowa.edu/blumberg-lab/articles> to gain a better sense of the kinds of questions we ask and the methods we use to answer them. You can learn more about the PI, Mark Blumberg, here<https://psychology.uiowa.edu/sites/psychology.uiowa.edu/files/groups/blumbe…> and here<https://psychology.uiowa.edu/sites/psychology.uiowa.edu/files/groups/blumbe…>. The laboratory is located in the Department of Psychological and Brain Sciences<https://psychology.uiowa.edu/> at the University of Iowa<https://uiowa.edu/>, a leading public university. The university is located in Iowa City, a midsize community with a high quality of life. The department is experiencing a period of enhanced growth and investment, including completion of a new building<https://psychology.uiowa.edu/new-home-department-psychological-and-brain-sc…>. In addition, the University of Iowa is home to a large and vibrant neuroscience community, highlighted by the Iowa Neuroscience Institute<https://medicine.uiowa.edu/iowaneuroscience/> that brings together over 100 neuroscientists across 26 departments. In addition to research opportunities, successful applicants will have opportunities to teach courses, mentor graduate and undergraduate students, write grants, and engage in activities to enhance professional development and prepare for an academic career. Salary is negotiable, but is expected to be above NIH's minimum guidelines for postdocs. Requirements: A PhD with experience in computational and/or behavioral neuroscience. Experience with MATLAB (or other programming languages) is required. Please send a letter of interest, curriculum vitae, and selected publications to Mark Blumberg at mark-blumberg(a)uiowa.edu<mailto:mark-blumberg@uiowa.edu>. _________________________________ Mark S. Blumberg, Ph.D. F. Wendell Miller Professor Department Chair Psychological & Brain Sciences Iowa Neuroscience Institute The University of Iowa _________________________________

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Submit Now - Call for Research Projects | Bitbrain
by Eduardo López-Larraz 04 Aug '20

04 Aug '20

Call for Research Projects Bitbrain grants up to 150K€ of equipment for Research Projects in the areas of human behavior and brain-computer interfaces. Aim of the Call This year has been unexpectedly complicated for all of us. We have had an ongoing threat to public health with a strong impact on economic activity in every country and organization. Scientific endeavors have been delayed in most research fields, and many research conferences and symposiums have been delayed or canceled. The aim of this call is to catalyze and mobilize research in human behavior and brain-computer interfaces during this difficult time, by supporting outstanding research projects for 2 years of duration starting in 2021. This is our way of giving back to the scientific community and helping research projects start-up in the wake of COVID 19. Bitbrain's mission is to boost real-world research and real-life applications that enhance people's lives. For this reason, we particularly welcome project proposals from academia or research institutions that are exploring neuroscience research in real-world settings. The deadline for submissions is September 21st, 2020. More info here: https://www.bitbrain.com/call-for-projects-2020 <https://urldefense.com/v3/__https://www.bitbrain.com/call-for-projects-2020…> The Awards This initiative awards projects with up to a total of 150K€ in Bitbrain equipment plus software licenses. Bitbrain systems are specifically designed to facilitate research in real-world settings and include high-tech EEG brain sensing devices and 35+ complementary monitoring technologies, as well as human behavior research software solutions for synchronized multimodal data acquisition and analysis. Call topics 1. Topic 1: Human Behavior Research: We are looking for projects that expand the understanding of human behavior using multimodal approaches, preferably in ecological and natural conditions. The research includes, but is not limited to, cognitive sciences, clinical research, education, developmental psychology, human performance, UX or human factors, neuroeconomics, hyperscanning, neuroaesthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: dry/semi-dry EEG systems in combination with a wide range of biosensors (GSR, BVP, ExG, etc) specifically developed to carry out real-world research, while favoring signal quality, usability, set up time, and user comfort. 2) Software: SDK for real-time I/O and third-party data processing (LSL, Matlab, Python, BCI200, etc); SennsLab software for synchronized data collection of 35+ types of biosensors and other research modalities including eye-tracking, cameras, microphones, etc, and other 3rd party options such as E-prime; SennsMetrics software for computation and data analysis of behavioral metrics. 1. Topic 2: Brain-Computer Interfaces (BCI): We are looking for projects that expand the introduction or usage of brain-computer interfaces in ecological and natural conditions. Research project proposals should focus on the application of brain-computer interfaces in real-world scenarios, in areas such as immersive environments, neurorehabilitation, neuroadaptive technologies, hyperscanning, neuroprosthetics, etc. Awards: According to the research needs of the project, the award may include the following: 1) Hardware: Mobile EEG systems for brain-computer interfaces including dry-EEG devices and semi-dry EEG systems (8, 16, 32 and 64ch), with a very quick and easy setup and comfortable interface. 2) Software: programming tools with great compatibility with real-time I/O and third-party data processing (LSL, Matlab, Python, BCI2000, OpenVibe, etc). Jury 1. Alan Kingstone, Ph.D. <https://psych.ubc.ca/profile/alan-kingstone/>, Professor, Department of Psychology, University of British Columbia. Canada. 2. Ander Ramos, Ph.D. <https://www.ramoslab.org/>, Head of the Neurorehabilitation Lab. University of Tübingen. Germany. 3. Dima Amso, Ph.D. <https://www.brown.edu/academics/cognitive-linguistic-psychological-sciences…>, Professor, Department of Psychology at Columbia University. USA. 4. Gernot Müller-Putz, Ph.D. <https://www.tugraz.at/institutes/ine/people/gernot-mueller-putz/>, Professor and Head of the Institute of Neural Engineering. Graz University of Technology. Austria. 5. Marco Congedo, Ph.D. <https://www.gipsa-lab.grenoble-inp.fr/page_pro.php?vid=518>, Charge de Research (CNRS), France. 6. Tad Brunye, Ph.D <https://ase.tufts.edu/psychology/spacelab/members.htm>., Visiting Associate Professor, Department of Psychology, Tufts University; Senior Research Psychologist, Army Natick Soldier Research, Development, and Engineering Center, USA. 7. Tiago Falk, Ph.D. <http://musaelab.ca/team-view/prof-tiago-h-falk/>, Associate Professor and Multimedia/Multimodal Signal Analysis and Enhancement (MuSAE) Laboratory. University of Toronto. Canada. Important Dates - Submission of applications: 21st September - Communication of the awards: 6th October - Contracts: 12th October - Equipment delivering: 20th December - Kick-off Meetings: 11th January More info here: https://www.bitbrain.com/call-for-projects-2020 <https://urldefense.com/v3/__https://www.bitbrain.com/call-for-projects-2020…>

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Bernstein Conference 2020 – registration now open
by a.dorrn＠fz-juelich.de 04 Aug '20

04 Aug '20

Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renown conferences worldwide in this field, attracting students, postdocs and PIs from around the world to meet and discuss new scientific discoveries. This year’s Bernstein Conference will take place September 29 - October 1, 2020 and will be held entirely online for the first time. It will be followed by the online Bernstein PhD Symposium on October 2, 2020. www.bernstein-conference.de<https://bit.ly/BC_online> ____ NEWS · Registration is now open: bit.ly/BC20_Registration<https://bit.ly/BC20_Registration> · Participation will be free of charge · Abstract submission deadline is approaching on August 21 Please find more information here: bit.ly/BC20abstracts<https://bit.ly/BC20abstracts> · Program for online Bernstein PhD symposium is now online: bit.ly/bc20_phd<https://bit.ly/bc20_phd> ____ INVITED SPEAKERS William Bialek (Princeton University, USA) Michael Brecht (Humboldt Universität zu Berlin, Germany) Laura Busse (LMU Munich, Germany) Megan Carey (Champalimaud Center for the Unknown, Lisbon, Portugal) Rosa Cossart (Institut de neurobiologie de la méditerrané, Marseille, France) Ann Hermundstad (Janelia Research Campus, Ashburn, USA) Roozbeh Kiani (New York University, New York City, USA) Vanessa Ruta (The Rockefeller University, New York City, USA) David Sussillo (Google AI, Mountain View, USA) Srdjan Ostojic (L'école normale supérieure, Paris, France) Fred Wolf (Max-Planck Institute for Dynamics and Self-Organization, Göttingen, Germany) ____ CONFERENCE COMMITTEE Udo Ernst (Conference Chair) Elad Schneidmann (Program Chair) Julijana Gjiorgjieva (Program Vice Chair) Tim Vogels (Workshop Chair) Marion Silies (Workshop Vice Chair) Henning Sprekeler (Conference Host) Danielle Bassett, Matthew Botvinick, Peter Dayan, Alain Destexhe, Tim Gollisch, Stephanie Palmer, Nathalie Rochefort, Nicole Rust, Gasper Tkacik ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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3- or 4-yearpostdoc position available for analysis of large neural data
by Benjamin Dunn 03 Aug '20

03 Aug '20

Funded by the Norwegian Research Council, the available position is part of a collaborative project on personalized rehabilitation of stroke patients evaluated with multimodal quantitative tools (PROTEQT). The selected candidate can start as early as October 1st, 2020. She or he will be part of a research group focused on neural data science at the Department of Mathematics at NTNU. We have a wonderful group and surrounding community. Norway is lovely (especially now). This position is for the development of methods to analyze neural data -- in particular, to compare across subjects and describe changes as the underlying network develops (e.g. during recovery from a stroke). The main datasets are multimodal MRI, to be analyzed in collaboration with another postdoc and PhD student. There is also other data around and plenty of room for theoretical work. Email me at benjamin.dunn(a)ntnu.no if you have any questions. Please apply here: https://jobbnorge.no/en/available-jobs/job/190466/postdoctoral-fellowship-i… Note the deadline: August 20th Here are some publications: https://scholar.google.com/citations?user=hAjFjXkAAAAJ&hl=en And an example of something we are working on: https://youtu.be/Hlzqvde3h0M Thanks, Ben

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postdoc position in systems neuroscience: translational project to study sleep and memory
by Carmen Varela 03 Aug '20

03 Aug '20

*We are opening a postdoctoral position to investigate non-invasive approaches to enhance sleep oscillations and memory function in rats. *This translational project is part of a collaboration between the laboratories of Dr. Carmen Varela (Psychology Department, Florida Atlantic University, FAU; https://www.varelalab.org/) and Dr. Dara Manoach (Massachusetts General Hospital-Harvard Medical School). The project will be conducted at FAU and it will involve frequent interaction with collaborators in Boston. The postdoc will gain expertise in systems and translational neuroscience using electrophysiology (cell ensemble and LFP recording with high-density probes) and behavior in rodents, as well as expertise on the mechanisms underlying normal and disrupted sleep-dependent memory consolidation processes and the use of non-invasive technologies to regulate them. *Requirements:* PhD with experience in electrophysiology and rodent models; outstanding interpersonal skills and motivation to work in a collaborative environment. Experience with MATLAB (or other programming languages) preferred. Candidates selected for an interview will be asked to provide contact information for three references. *Anticipated start day in January 2021. * One year with possibility of extension. Interested applicants, please submit your curriculum to Carmen Varela: varelac(a)fau.edu FAU is an equal opportunity/affirmative action institution and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veterans’ status or any other characteristic protected by law. Best, *Carmen Varela, Ph.D.* Assistant Professor Psychology Department Florida Atlantic University MC-19, room 106 Jupiter, FL 33458

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DeepMath 2020: call for abstracts
by Kamesh Krishnamurthy 30 Jul '20

30 Jul '20

Dear all, We are now accepting abstract submissions to the 2020 Conference on the mathematical theory of deep neural networks (DeepMath). DeepMath is a highly interdisciplinary conference focused on understand fundamental theory driving the empirical success of Deep Learning. We are excited for this year's diverse set of invited speakers (see https://deepmath-conference.com for more information) and invite additional contributions from the community. Due to ongoing concerns about Covid-19, this year’s DeepMath conference will be conducted virtually. We are presently working on finalizing an online format that will seek to capture the small, community-focused experience of past DeepMath events. Important updates related to submission and registration are included below: == Submissions == We are still accepting submissions for virtual “posters” consisting of a pre-recorded talk and Q&A session. Similarly to last year, a selected number of top posters will be invited to present their work live as contributed talks. == Registration == Participation in the conference will require registration costing a nominal fee. We are working to keep costs as low as we can given the online nature of the event. As with last year, all talks will be live-streamed for free. More information on submissions can be found at the DeepMath website at https://deepmath-conference.com/submissions Warmest regards, The DeepMath Organizing Committee

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Postdoctoral position to study the neural circuit of social behavior
by Hong, Weizhe 30 Jul '20

30 Jul '20

The Hong Lab at UCLA (hong-lab.com) is looking for a new postdoc to study the neural circuit of social behavior in mice. We are particularly interested in candidates with expertise in systems and/or computational neuroscience. Social interactions between individuals and among groups are a hallmark of human society as we know it and are critical to the physical and mental health of a wide variety of species including humans. Impairment of social function is a prominent feature of many neuropsychiatric disorders such as autism spectrum disorders and schizophrenia. Nonetheless, many fundamental questions regarding the neural mechanisms underlying social behavior remain unanswered. The central goal of Weizhe Hong’s laboratory is to study general principles of how social behavior is regulated in the brain. We take a multi-disciplinary approach and uses a variety of experimental and computational technologies across molecular, circuit, and behavioral levels. We are interested in how neural dynamics regulates social behavioral decisions within a single brain as well as how emergent inter-brain neural properties arise from social interactions between individuals. For more information, please visit hong-lab.com. Recent publications: 1. Kingsbury L, Hong W. (2020) A multi-brain framework for social interaction. Trends in Neurosciences. doi: 10.1016/j.tins.2020.06.008. (Review) 2. Kingsbury L, Huang S, Raam T, Ye LS, Wei D, Hu R, Ye L, Hong W. (2020) Cortical representations of conspecific sex shape social behavior. Neuron. doi: 10.1016/j.neuron.2020.06.020. 3. Chen PB, Hu RK, Wu YE, Pan L, Huang S, Micevych PE, Hong W. (2019) Sexually dimorphic control of parenting behavior by the medial amygdala. Cell. 176, 1206-1221. 4. Kingsbury L, Huang S, Wang J, Gu K, Golshani P, Wu YE, Hong W. (2019) Correlated neural activity and encoding of behavior across brains of socially interacting animals. Cell. 178, 429-446. 5. Chen P, Hong W. (2018) Neural circuit mechanisms of social behavior. Neuron. 98, 16-30. (Review) 6. Wu YE, Pan L, Zuo Y, Li X, Hong W. (2017) Detecting activated cell populations using single-cell RNA-seq. Neuron. 96, 313-329. -- Weizhe Hong, Ph.D. Associate Professor Department of Biological Chemistry Department of Neurobiology David Geffen School of Medicine University of California, Los Angeles Graduate Program Affiliations: Neuroscience PhD Program at UCLA Bioengineering PhD Program at UCLA Bioinformatics PhD Program at UCLA Molecular, Cellular, and Integrative Physiology PhD Program at UCLA ________________________________ UCLA HEALTH SCIENCES IMPORTANT WARNING: This email (and any attachments) is only intended for the use of the person or entity to which it is addressed, and may contain information that is privileged and confidential. You, the recipient, are obligated to maintain it in a safe, secure and confidential manner. Unauthorized redisclosure or failure to maintain confidentiality may subject you to federal and state penalties. If you are not the intended recipient, please immediately notify us by return email, and delete this message from your computer.

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Online tutorial on Brian simulator: Aug 7th, 2-6pm BST
by Dan Goodman 30 Jul '20

30 Jul '20

The Brian team will be running an online tutorial for Brian on August 7th, 2-6pm BST (=UTC+1). Please do come along or get your students/postdocs to come along. Registration is required but free (to prevent zoombombing), at the link below: https://www.eventbrite.co.uk/e/brian-online-tutorial-tickets-115336320038 You'll get an email with a link to an 'event details' page with the Zoom URL. Please don't share this online to help prevent zoombombing. This is an experiment for us, if it's successful we might turn it into a regular thing. For the moment, the content of the tutorial is not decided. Have your say here: https://twitter.com/neuralreckoning/status/1288768229591207938 And, if you're an experienced Brian user and would like to volunteer to help - get in touch! Thanks, Dan

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PhD position in network neuroscience at University of Sussex
by Luc Berthouze 29 Jul '20

29 Jul '20

Applications are invited for a fully-funded PhD scholarship to undertake research in network neuroscience at the University of Sussex. A number of conditions, such as Parkinson’s Disease, are referred to as ‘oscillopathies’ because there is evidence that some of their major symptoms are underpinned by pathological synchronisation of neurons in key networks. A promising form of treatment is that of online control of deep brain stimulation based on computational processing of brain signals. Therefore, new mathematical insights about how to detect and efficiently disrupt pathological processes can be rapidly translated to patient benefit. Using models of oscillations on networks, this project will seek to investigate the conditions (either on the oscillators themselves, or the connectivity, or factors that may frustrate the interplay between dynamics on and dynamics of the network) under which pathological oscillations in one small area of the brain can intermittently or otherwise ‘infect’ the wider network of the brain causing the pathological symptoms. This project will involve an active collaboration with Dr Simon Farmer at University College London (UCL). This 3-year studentship includes student fees and a tax-free stipend starting at £15,285 per annum. It also comes with a generous Research Training Support Grant. Start date is flexible. Eligibility All nationalities are eligible to apply for this studentship. You should have a first-class honour degree or equivalent, or an MSc degree (preferably), in Computer Science, Mathematics or Physics (or relevant disciplines). You will have (and enjoy using) strong analytical skills as well as excellent programming skills in at least one of C++, Python, Matlab. Applicants interested in the post, seeking further information or feedback on their suitability are encouraged to contact me. All applications must be made via http://www.sussex.ac.uk/study/phd/apply where you will find details of entry requirements. Please clearly state on your application form that you are applying for 'Dynamics on/of networks and oscillopathies'. Luc Berthouze Professor of Complex Systems University of Sussex

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2020 Big Data Neuroscience *free* Workshop Invitation
by Franco Pestilli 29 Jul '20

29 Jul '20

Dear All. We are organizing the 2020 Big Data Neuroscience workshop as an online event. It will be a 1-day event with 4 keynote speakers, software demos, and a series of lightning talks. http://neurosciencenetwork.org/ACNN_Workshop_2020.html We would like to invite you to register for the FREE event and consider signing up for a lighting talk. You are welcome to share this announcement broadly. Best regards, Franco *FRANCO PESTILLI*, *Ph.D.* | *Associate Professor* he/him | pestilli(a)utexas.edu | web <https://liberalarts.utexas.edu/psychology/faculty/fp4834> | github <https://github.com/francopestilli> | brainlife.io

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postdoc position in model-based fMRI at Harvard (Gershman/Buckner labs)
by Sam Gershman 29 Jul '20

29 Jul '20

The Gershman (gershmanlab.webfactional.com) and Buckner ( https://cnl.rc.fas.harvard.edu/) labs at Harvard University are seeking a postdoctoral fellow to work on a longitudinal functional MRI project. The aim of this project is to understand how computationally defined phenotypes change across time, and how these changes map onto dynamic functional networks in the human brain. Candidates must have a strong background in fMRI research and statistical analysis. Experience with computational cognitive modeling is preferred but not required. The start date for this position is on or around February 1, 2021, but this can be flexibly adjusted as needed. The position is fully funded for 2 years, with a possible extension to a 3rd year contingent on funding. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Interested applicants should contact Sam Gershman (gershman(a)fas.harvard.edu) along with a CV and list of references.

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Tenure-track / tenure-eligible computational neuroscience PI position at NIMH
by Atlas, Lauren (NIH/NCCIH) [E] 28 Jul '20

28 Jul '20

https://www.nimh.nih.gov/about/careers/job-vacancy-announcement-tenure-trac… Job Vacancy Announcement - Tenure-Track/Tenure Eligible Investigator, Computational Neuroscientist Department of Health and Human Services National Institutes of Health National Institute of Mental Health Division of Intramural Research Programs Tenure-Track/Tenure Eligible Investigator Computational Neuroscientist The Division of Intramural Research Programs (DIRP) of the National Institute of Mental Health (NIMH), National Institutes of Health (NIH), invites outstanding individuals to apply for a tenure-track/tenure eligible position in computational neuroscience. The NIMH DIRP has one of the largest systems and clinical neuroscience research communities in the world. Research groups work across species including drosophila, mice, rats, monkeys and humans. Facilities include a state-of-the-art high-performance computing facility as well as a rodent behavior core and high-field neuroimaging. The DIRP is a highly interactive research environment, and there are numerous opportunities for collaborative research within NIMH as well as with the broader NIH community. The successful individual will create and direct an independent research program on theoretical models of brain mechanisms of behavior. Example areas of research include but are not limited to -- reinforcement learning; decision making; theoretical accounts of neuromodulatory systems including dopamine, serotonin and norepinephrine; nonlinear dynamical systems; and neural plasticity and learning. We are particularly interested in individuals who have a demonstrated interest in computational psychiatry, developing models of human psychopathology, and collaborations with clinical groups focused on mental illness within the DIRP and broader research community. Research programs should focus on theory development but may also include experimental work that tests theoretical models. The unique investigator-based DIRP research support package encourages the development of a coherent, long time-horizon scientific program focused on generating deep insights into complex problems. Candidates must have earned a Ph.D. or M.D. and will have demonstrated experience as an outstanding independent investigator. An individual selected for the position is expected to build a dynamic and productive research laboratory, mentor and train scientists, and make use of the excellent opportunities for collaborative, translational, and high-risk/high-reward science available at the NIH. Laboratory space and startup funds, access to shared research facilities, and on-going research support are competitive with premier academic institutions. Salary is commensurate with experience and accomplishments and a full Civil Service package of benefits (including retirement, health, life and long-term care insurance, and a Thrift Savings Plan) is available. Applicants should send a curriculum vitae (CV), bibliography, statement of research interests, and three letters of reference to: Susan G. Amara, Ph.D., National Institute of Mental Health, c/o Jane Schriver via email to Jane.Schriver(a)nih.gov<mailto:Jane.Schriver@nih.gov>, indicating “ Computational Neuroscientist Recruit” in the subject line. Please include in your CV a description of your mentoring and outreach activities, especially those involving women and persons from racial/ethnic or other groups that are underrepresented in biomedical research. Applications will begin to be reviewed in August 2020 and continue until the position is filled.

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Postdoctoral researcher - Sleep expert for neurotechnology research project at Bitbrain (Zaragoza, Spain)
by Eduardo López-Larraz 28 Jul '20

28 Jul '20

We are looking for a postdoctoral sleep researcher to join Bitbrain <https://www.bitbrain.com/> and work on an EU-funded neurotechnology research project. The main objective will be to exploit some of the most recent advances in sleep research to develop interventions based on cutting-edge wearable neurotechnology for sleep (and sleep-mediated cognitive processes) improvement. The candidate will join Bitbrain <https://www.bitbrain.com/>’s interdisciplinary R&D department of applied neuroscience and neurotechnology and will lead all the R&D activities related to sleep. The candidate will have to: 1) design the R&D strategy of this new area in the company, which will require attending and participating in international events and networks, and 2) design and carry out a feasibility study in sleep improvement using innovative and practical technologies that can be used outside the lab. The position is initially offered for 12 months and includes a relocation and training package. *Requirements*: Sleep expert with a PhD degree in Neuroscience, Psychology, Biomedical Engineering or similar. Strong background in sleep research, understanding of EEG (required) and brain stimulation (desirable). Project management skills. Problem solving and potential of growth. English is required, Spanish is a plus. *Application Deadline*: 01.11.2020 More information and application procedure: https://euraxess.ec.europa.eu/jobs/545040

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Register now for Allen Institute Modeling Workshop - August 12-14
by Anton Arkhipov 27 Jul '20

27 Jul '20

TOWARDS MULTIPURPOSE MODELS OF CORTICAL CIRCUITS - JOIN US VIRTUALLY AUGUST 12-14 Join us for a virtual workshop, August 12-14, 2020, to learn and discuss how we can move towards "multipurpose models" that incorporate the true biological complexity of cortical circuits and faithfully reproduce multiple observables in many different situations. Hear from nearly twenty speakers as they emphasize open and publicly accessible models and associated tools to explore models from the conceptual to the biologically detailed. Dissemination, reproducibility, and free sharing of models and modeling software will be discussed. https://alleninstitute.org/what-we-do/brain-science/events-training/allen-i… Confirmed Speakers: Gaute Einevoll, University of Oslo & NMBU (Workshop Co-Chair) Anton Arkhipov, Allen Institute, MindScope Program (Workshop Co-Chair) Shawn Olsen, Allen Institute, MindScope Program Anna Devor, Boston University Keith Hengen, Washington University in St. Louis Terry Sejnowski, Salk Institute for Biological Studies Andreas Tolias, Baylor College of Medicine Clay Reid, M.D., Allen Institute for Brain Science Nuno da Costa, Allen Institute for Brain Science Stephanie Jones, Brown University Michael Reimann, EPFL Li-Huei Tsai, MIT David McCormick, University of Oregon Sacha van Albada, Research Centre Jülich Stefan Mihalas, Allen Institute, MindScope Program Greg Handy, University of Pittsburgh Luke Campagnola, Allen Institute for Brain Science Chris Harvey, Harvard Medical School Christof Koch, Allen Institute, MindScope Program EVENT DETAILS This three-day workshop will be hosted virtually and will feature a mix of presentations from leaders in the field, and discussion sessions for all participants. Wednesday, August 12 - Friday, August 14 ~8:00 am - 12:00 pm Pacific Time, daily Please register at the link above. The virtual conference login information will be sent to all registrants in advance of the event. Please contact events(a)alleninstitute.org<mailto:events@alleninstitute.org> with any questions. Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png(a)01D5F0E2.E3F24C00] www.alleninstitute.org<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.alleni…>

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Applications for prestigious La Caixa Junior Leader Fellowships
by Serafim Rodrigues 27 Jul '20

27 Jul '20

To experienced postdocs, We are looking for candidates who have an interest in being hosted within our research group Mathematical, Computational and Experimental Neuroscience (MCEN) at BCAM (Basque Centre for Applied Mathematics): http://www.bcamath.org/en/ The La Caixa Foundation has announced 45 very competitive Junior Leader Fellowships.The Postdoctoral Junior Leader fellowships programme is aimed at hiring excellent researchers, of any nationality, who wish to continue their research career in Spain or Portugal in the STEM area (Science, Technology, Engineering and Mathematics). The objectives of this programme are to foster high-quality, innovative research in Spain and Portugal and to support the best scientific talent by providing them with an attractive, competitive environment in which to conduct excellent research. The fellows can carry their research at any university or research centre in Spain or Portugal. For details please refer to the links below: https://fundacionlacaixa.org/en/investigacion-y-becas/becas-de-la-caixa/pos… Programme Rules: https://fundacionlacaixa.org/documents/10280/675659/programme-rules-junior-… If you are interested, please contact: srodrigues(a)bcamath.org regards Serafim -- Serafim Rodrigues Group Leader *BCAM - *Basque Center for Applied Mathematics Alameda de Mazarredo, 14 E-48009 Bilbao, Basque Country - Spain Tel. +34 946 567 842 srodrigues(a)bcamath.org | www.bcamath.org/srodrigues *(**matematika mugaz bestalde)*

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2 postoc positions
by German Sumbre 27 Jul '20

27 Jul '20

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Open Position Computational Neuroscientist / Algorithm Engineer (100%) at MaxWell Biosystems
by david.jaeckel＠mxwbio.com 27 Jul '20

27 Jul '20

Dear all I would like to announce the following open position at MaxWell Biosystems AG in Zürich, Switzerland: Computational Neuroscientist / Algorithm Engineer (100%) Our technology, which consists of a custom designed integrated circuit, an FPGA-based data acquisition platform and our software suite MaxLab Live, generates vast amounts of data while electrically imaging neuronal tissue. Such data needs to be processed, analyzed and visualized online during operation. At the same time, our customers in drug discovery and neuroscience want to focus on their pharmaceutical and scientific questions, which requires to abstract and hide most of the technical complexity, while still providing sufficient flexibility to adapt the application to specific needs. We are constantly innovating and improving algorithms to extract novel and more accurate multiparametric electrophysiology metrics, which enable faster and more reliable drug discovery. To strengthen our R&D team and to drive and implement this challenging task, we are now seeking for a highly motivated computational neuroscientist. Your Responsibilities * Develop and support our performance critical data acquisition and analysis software platform * Contribute to our Python toolboxes for data analysis and visualization * Develop and validate analysis methods to extract multiparametric electrophysiology metrics * Understand customer needs and continuously improve user experience Your Profile * PhD in computational neuroscience or related (awarded after December 31st, 2016) * Proven strong scientific achievements in the form of first-author peer-reviewed publications in computational neuroscience or related * Strong experience in Python and competency working in a Linux/Unix environment * Proficiency in other languages, e.g., R, MATLAB, C++ is a plus * Knowledge of neuron physiology and electrophysiology * Proficiency in multiparametric pharmacological assays is a plus * Experience in microelectrode array (MEA) technology data analysis is a plus * Skilled in analysis of large-scale dataset * Enjoy solving complex problems and working in a team * Excellent English language skills * The applicant must not have resided or carried out his/her main activity for more than a total of 12 months over the last three years in Switzerland Are you motivated, innovative and committed to delivering first-rate performance? Have you ever wanted to work with cutting-edge technology involving both engineering and biology? Do you enjoy working in an international, multidisciplinary, and interactive team? Then we might have a position for you. Join MaxWell Biosystems in innovating the future of electrophysiology for drug discovery and basic research. Michele Fiscella looks forward to receiving your application documents (cover letter, resume, letter of recommendation and degrees including transcripts) by email at <mailto:hr@mxwbio.com> hr(a)mxwbio.com. - Best Regards, David -- David Jäckel Ph.D. | Senior Product Manager MaxWell Biosystems AG | Albisriederstrasse 253 | CH-8047 Zurich | Switzerland main: +41 44 244 24 24 | direct: +41 44 244 24 16 | <https://mxwbio-ch.3cx.net/join/davidjaeckel> click2meet e: <mailto:%20david.jaeckel@mxwbio.com> david.jaeckel(a)mxwbio.com | w: <http://www.mxwbio.com/> www.mxwbio.com Meet us | at <https://www.isscr.org/meetings-events/annual-meetings/isscr-annual-meeting-…> ISSCR, Boston, USA, Jun 24 – 27 | at <http://www.isscr.org/meetings-events/international-symposia/shanghai-2020-s…> ISSCR Symp., Shanghai, China, Sep 11 – 13 | at <https://www.safetypharmacology.org/AM2020/index.asp> SPS 2020, Montreal, Canada, Sep 14 – 16 Follow us on <https://twitter.com/mxwbio> Twitter and <https://www.linkedin.com/company/maxwell-biosystems> LinkedIn The information contained in this email and any attached files is legally privileged and confidential intended only for the use of the addressee. If you have received this email in error, please notify the sender and promptly delete this email and any attachments. Thank you.

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PhD position in theoretical and experimental neuroscience
by Nicolas P. Rougier 24 Jul '20

24 Jul '20

PhD position in theoretical and experimental neuroscience Application deadline: 15/08/2020 What: PhD position in theoretical and experimental neuroscience Where: Bordeaux, France When: October 2020 (3 years duration) Who: Nicolas Rougier (Inria) & Arthur Leblois (CNRS) A PhD position is available at Inria Bordeaux Sud-Ouest center and the Institute of Neurodegenerative Disease in Bordeaux, France. Candidate profile ================= The future PhD candidate must have a strong experience at both the theoretical and experimental level. In particular, the following qualities and skills will be highly valued, if not required: * Solid bases in maths and/or physics; * Previous experience in experimental neuroscience; * Programming experience (Python or similar coding language); * Experience in machine learning or data mining is a plus; * Good English reading/speaking skills. How to apply ============ Please send your application (CV, letter of motivation, and the names and email addresses of one or two persons who can provide recommendation letters) to Dr. Nicolas Rougier (nicolas.rougier(a)inria.fr) and Arthur Leblois (arthur.leblois(a)u-bordeaux.fr) before the 15/08/2020. Proposed research ================= Temporally precise movement patterns underlie many motor skills and innate actions, yet the origin of temporal control in motor behaviors remains unclear. While cortical motor regions traditionally have been viewed as encoding features of motor gestures, these models do not address how sequences of motor gestures are produced or appropriately timed. Recently, a number of studies have suggested that, beyond just representing features of motor output, motor regions may have intrinsic oscillatory dynamics or sequential dynamics to act as their own pattern generators. However, in the order of milliseconds, the neural and anatomical correlates of time processing are still largely unknown because the dominant model, which is based on internal clock fails at giving account on experimental data. Understanding the neural dynamics underlying the acquisition and performance of complex sensorimotor tasks has been hindered by the complexity of the underlying brain networks in common animal models used in neuroscience (e.g. rodents or primates). In particular, the complex interactions between cortical areas (primary and secondary motor cortex in rodents, motor, premotor and supplementary motor areas in primates) related to many different sensorimotor associations and motor skills is daunting. Conversely, in birds, the sensorimotor skill of song production and its learning has a dedicated set of interconnected brain nuclei known as the “song system”, making them an outstanding model to study the neural mechanisms of vocal learning and more generally, of sensorimotor learning. Songbirds indeed rely on learned vocalizations to communicate during courtship or aggressive behaviours. Just as speech learning in humans, vocal learning in young birds requires the coordination of vocal muscles to reproduce previously experienced adult vocalizations. Song learning is also limited to a critical period during development and heavily relies on auditory feedback. The proposed research lies at the interface of neurophysiology, cognitive science, applied mathematics, and theoretical physics. The concepts and methods that will be used will draw on single neuron physiology, electrophysiological studies in behaving animals, statistical mechanics, dynamical system theory, and stochastic differential equations. To this end, we will combine a theoretical approach (development of a mathematical model of the timing system) and an experimental one (chronic neural recording in awake birds, behavioural manipulations). Therefore, a collaboration with a team of physiologists at the Institute of Neurodegenerative Diseases, and in particular with Arthur Leblois who has a long-established expertise in the neural mechanisms underlying vocal learning in songbirds. The model will be designed under the supervision of Nicolas Rougier who has extensive experience in computational modelling. Predictions of the model will then be tested experimentally by measuring neuronal activity in the brain areas controlling song timing in songbirds under the supervision of Arthur Leblois. Chronic electrophysiological recordings in singing birds are routinely performed in the lab of Arthur Leblois, and will be implemented in a protocol allowing the induction of plasticity in the duration of song syllables in young adult birds over short periods of time.

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PhD position: stimulation of the visual cortex
by Pieter Roelfsema 22 Jul '20

22 Jul '20

The Vision & cognition group (Roelfsema lab) at the Netherlands Institute for Neuroscience has an exciting opportunity for a PhD student position to investigate circuit mechanisms of brain stimulation and its perception Project description Circuit mechanisms of brain stimulation and its perception The rapidly emerging field of neurotechnology is bringing a surge of new technological possibilities for transferring information to the brain for patients with neurological disabilities. To successfully apply these technological advances to clinical applications, a deep understanding of stimulation-based information transfer and its processing at the level of neurons and neuronal circuits is essential. In this project, we will combine novel intracortical neural interfaces devices with electrical microstimulation, optical stimulation, 2-photon calcium imaging, electrophysiology, and behavior to investigate this in the mouse visual cortex. Ultimately, we aim to develop next-generation intracortical stimulation strategies for high-fidelity information transfer into the visual cortex for a visual prosthesis. We expect from you: You are a highly motivated, self-driven candidate. You have an MSc degree (or equivalent) in neuroscience or a related discipline; or an MSc degree in a quantitative discipline (e.g. physics/biophysics, mathematics, engineering) with strong interest and experience in neuroscience. A high level of written and spoken English and good programming skills are essential. An ideal candidate would additionally possess practical experience in collecting and analyzing neurophysiological data from awake, behaving animals. You should expect from us: • Mentoring, supervision and training • Access to state-of-the art infrastructure • A stimulating international research environment Environment The Netherlands Institute for Neuroscience (www.nin.nl) is the country’s leading fundamental neuroscience research institute, in the international and progressive city of Amsterdam. It provides a critical mass of scientists (spanning more than 27 nationalities) and neuroscience facilities, in a highly interactive, dynamic, multi-cultural environment, with English as the working language. Appointment We offer an exciting job at a dynamic research institute and an attractive package of fringe benefits. The position is for a period of 4 years in total for a PhD student. The first appointment is for one year with the option for an extension for the remaining period pending on an evaluation. Salary The salary will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). Full-time monthly salary for a PhD student is € 2.395,- in the 1st year to € 3.061,- in the 4th year before taxes. In addition, an 8% holiday allowance and an 8.3% year-end bonus are provided. We offer travel expenses, paid parental leave, flexible working hours, 30 days paid leave per year and assistance in finding an accommodation. Starting date The position is available from September 2020, but the starting date can be later. To apply Please send your application to s.wolff(a)nin.knaw.nl including: 1. A Curriculum Vitae 2. An application letter 3. Two reference letters Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position in the autumn of 2020. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Any acquisition further to this advertisement will not be appreciated.

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Virtual Telluride Neuromorphic Engineering Workshop (July 27-31 2020)
by Emre Neftci 22 Jul '20

22 Jul '20

We are happy to announce a Virtual Telluride Neuromorphic Cognition Engineering Workshop 2020 (https://tellurideneuromorphic.org/) this year in replacement of our usual Workshop in Telluride. The workshop will take place from July 27 to July 31 (8am to 10am PDT, or 17:00 to 19:00 CET). The format will be a week of lectures and tutorials on current topics in neuromorphic engineering (two hours per day) followed by four hands-on, collaborative challenges which will be carried out in the month of August. The results of the challenges will be presented on September 10 and 11. More up-to-date information on the list of speakers and the challenges can be found at the 2020 Neuromorphic Workshop website (https://sites.google.com/view/telluride2020/home) The workshop is free to attend and is open to everyone upon registration. Please pass this announcement to other interested parties. Regards, The Telluride Neuromorphic Cognition Engineering 2020 Organizing Committee -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

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[BCI-UC] Final program online
by Moritz Grosse-Wentrup 21 Jul '20

21 Jul '20

Dear colleagues: The final program of the 1st BCI Un-Conference is now online: https://bciunconference.univie.ac.at/program/ In addition to the keynotes by Mariska J Vansteensel and Christian Herff, the BCI-UC features nine contributed talks. These talks were selected from 31 submissions by 190 registered participants casting a total of 427 votes. All lectures will be streamed free of charge via Crowdcast this Thursday, July 23rd, from 3 pm to 9:15 pm (CEST) under the following URL: https://www.crowdcast.io/e/1st-brain-computer-interface-unconference/ If you would like to receive future updates about the BCI-UC series, please sign up to the mailing list: https://lists.univie.ac.at/mailman/listinfo/bciuc You are very welcome to also use this mailing list for any announcements that are of interest to the BCI community at large. Best regards, The BCI-UC Organizing Committee: Moritz Grosse-Wentrup Anja Meunier Philipp Raggam Anita Resch Jiachen Xu -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Post-doc position: Visual control
by Fajen, Brett 21 Jul '20

21 Jul '20

Please post the job ad below on the computational neuroscience email list. POSTDOCTORAL RESEARCH ASSOCIATE VISUAL CONTROL IN HUMANS AND AERIAL ROBOTS Cognitive Science Department Rensselaer Polytechnic Institute A post-doctoral position is available in the Perception and Action (PandA) Lab at Rensselaer Polytechnic Institute to study optic flow-based control. The aims of the project are to develop computational and mathematical models of visual perception and control in humans and adapt these models for use on board small aerial robots. The successful candidate will be expected to conduct experiments, develop models, and present research at conferences and in journal articles. This is a one-year position with an anticipated start date in September 2020. The position could be extended beyond one year depending on performance and availability of funding. The PI’s lab is situated within the Cognitive Science Department at Rensselaer Polytechnic Institute in Troy, NY. Minimum qualifications Candidates for the position must have a Ph.D. in Computer Science, Cognitive Science, Neuroscience, Psychology, or a related field. All degree requirements must be completed by the time the appointment starts. In addition, candidates should have research experience in vision science, a strong quantitative background, and good programming skills. Experience with virtual reality, motion capture, and/or eye tracking is also desirable, although not required. Application information Please contact Brett Fajen at fajenb[at]rpi.edu for information about the application process or with any questions about the position. We welcome candidates who will bring diverse intellectual, geographical, gender and ethnic perspectives to Rensselaer’s work and campus communities. Rensselaer Polytechnic Institute is an Affirmative Action/Equal Opportunity, Race/Gender/Veterans/Disability Employer.

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Postdoc position at International Research Center for Neurointelligence (IRCN), the University of Tokyo
by Yukie Nagai 21 Jul '20

21 Jul '20

Dear colleagues, Nagai, Yazaki and Tsuji labs at the International Research Center for Neurointelligence (IRCN), the University of Tokyo are seeking a postdoctoral candidate for the transdisciplinary project “The Development of Social Intelligence”. The goal of this project is to identify the neuronal and biological basis of social effects on learning. The successful candidate will be involved in developing experiments in songbirds and human infants in interaction with robots, including the recording and analysis of behavioral, auditory, and physiological measures. The candidate will primarily be supervised by Dr. Nagai, and co-supervised by Dr. Yazaki and Dr. Tsuji. https://ircn.jp/en/careers/20200720-socialintelligence If you are interested in being considered, please send the required documents to yukie(a)ircn.jp. --------------------------------------------------------------------------------- 1. Job title Project Researcher (Postdoctoral Fellow) 2. Starting Date Negotiable 3. Term The first contract will be ended on March 31, 2021. The contract is renewable on a fiscal year basis (from April 1 to March 31; every year) according to research budget, research activity, and research achievements. Contract can be extended for up to 3 years. 4. Place of Work International Research Center for Neurointelligence The University of Tokyo, Institutes for Advanced Study 7-3-1 Hongo Bunkyo-ku Tokyo, 113-0033 JAPAN *This can be changed due to work circumstances. 5. Qualifications (Required) - Ph.D. or equivalent in a related field - Good communication skill in English (Preferred) - Experiences in computer science, cognitive science, neuroscience, and/or psychology will be preferred. 6. Compensation & Benefits - Salary: To be determined in accordance with the University of Tokyo Regulations - Commuter allowance: JPY55,000 per month at maximum - Social Insurance: Eligible for MEXT Mutual Aid Association membership, employees’ pension, employment insurance, and workers’ accident compensation insurance. - Vacation: Annual paid vacation, Sick leave (paid), Special vacation (paid) 7. Working Hours Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week 8. Holidays Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays (December 29 through January 3); Summer holidays 9. Applications and Selection Process - Applications deadline: When the position is filled - Application documents: (a) Cover letter in English (b) Curriculum vita in English (c) Publication list (d) Name and contact address for two references, one of which should be a previous employer - Submission: Interested applicants should send application materials to: yukie(a)ircn.jp with a subject "Application for Project Researcher in Social Intelligence”. - Selection Process: All applications will be screened, and only those qualified will be scheduled for an interview. --------------------------------------------------------------------------------- — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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International Brain Laboratory postdoc position at UCLA
by Hannah M Bayer 20 Jul '20

20 Jul '20

The Churchland lab at UCLA has an opening for a postdoctoral fellow in neuroscience who will be part of the International Brain Laboratory (IBL). The IBL (https://www.internationalbrainlab.com/) is a large-scale international collaboration in brain research, which combines the efforts of approximately 50 scientists in 22 laboratories toward understanding the brain-wide basis of a complex behavior. Now in its third year, the IBL has already achieved standardization and replication of the mouse behavioral paradigm across labs and the effort to map the entire mouse brain at single neuron resolution is now underway. Postdocs in the IBL contribute to collecting datasets and building collaborative infrastructure in addition to developing and leading their own personal projects, which are accelerated and enhanced by taking advantage of the IBL experimental and computational tools and by mentoring from the other members of the collaboration. It is expected therefore that IBL postdocs will publish multiple impactful first-author papers in addition to being part of consortium-wide papers. For more information about the advantages of postdoctoral research at IBL, see www.internationalbrainlab.com/postdocs/. The ideal candidate for this position has experience in rodent physiology experiments and in data analysis (ideally using Python). They will have a record of rigorous and creative scientific work, and are excited about the possibility of joining a large, innovative collaboration at the forefront of modern neuroscience. The International Brain Laboratory is committed to opposing all forms of discrimination, raising awareness and tackling the causes and consequences of discrimination. We pledge to provide a learning and working environment in which the rights and dignity of all members are respected and which is free from discrimination, prejudice, intimidation and all forms of harassment including bullying; to making a diverse mix of talented people feel valued, motivated and enabled to do their best work; and to creating a safe, welcoming working environment accessible to all. We encourage individuals who will contribute to achieving these aims to apply. Please send CV and cover letter to Anne.Churchland(a)internationalbrainlab.org

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The Annual BiasWatchNeuro Award for Equity and Inclusivity
by Bias WatchNeuro 20 Jul '20

20 Jul '20

We wanted to let you know of this new award, for a department/institute/program that is making special (and effective) efforts to ensure inclusivity and equity for trainees from minoritized and historically marginalized group. We hope you will circulate the below call for nomination among trainees in your department. Letters of nomination are due by end of August, for a September award date (in time for graduate recruiting season). Even if your department does not win this year, letters of nomination for the winning departments will be made public, so other departments can learn and copy their best practices. We are looking forward to a day where all neuroscientists feel welcome and supported in any university. The call for nominations is below, and also at https://biaswatchneuro.com/bwn-award/. > Call for nominations The Annual BiasWatchNeuro Award for Equity and Inclusivity > > Diverse voices and ideas deserve to be heard equitably in science. Since > 2015, BiasWatchNeuro has worked to increase the representation of women in > neuroscience and related fields, emphasizing in particular the > representation of women as invited speakers at conferences. However, women > are not the only group that is confronted with implicit biases and systemic > obstacles in science. Minoritized groups are severely underrepresented at > every level of the academic career path — from undergraduate education to > faculty. Attempts to diversify departments have increased, but the reality > is that many universities and institutions still embody and perpetuate both > the historical influence of being established by men of privilege, and the > persisting effects of systemic racism in our society. Even as more diverse > student bodies are recruited, the culture in many departments and > institutions is not welcoming to and supportive of those that belong to > minoritized groups. Intersectionality adds another layer of disadvantage, > with minoritized women being especially underrepresented and unsupported. > > It is time to change this reality and build a new one, in our departments > and institutions. Black scientists matter. Latinx scientists matter. > LGBTQAI+ scientists matter. First generation scientists matter. Low income > scientists matter. Intersectionality matters. > > BiasWatchNeuro is excited to announce a new Annual Award for Equity and > Inclusivity, awarded to a neuroscience or neuroscience-related department, > institute or program that demonstrates the exceptional creation of a > culture where individuals underrepresented and/or marginalized in STEM feel > integral to the community and thrive. > > We recognize that no department/institute/program is perfect. However, > some are doing much better than others, and should be recognized for this. > Nomination letters for winners and runner ups will be made public (without > the list of signatories, which will remain confidential), to showcase > successful methods for creating an inclusive and equitable culture, and to > provide prospective trainees at all levels with information that can inform > their decisions of where to apply to. We hope that this will help us all > improve our practices and move toward a day in which all neuroscientists > feel seen, respected, and supported. > > Nominations for the 2020 award will be accepted through *August 31, 2020*. Awards > will be announced in September. > > Letter of nomination signed by one or more trainees (current and/or > alumni; including post-bacc/RAs; faculty cannot nominate their current > program) should be sent to biaswatchneuro(a)gmail.com. Letters should > describe in detail specific actions and elements that promote inclusivity > and equity, and their impact on underrepresented/marginalized groups. More > than one letter and/or letters with multiple signatories will be viewed > favorably. > Sincerely, The BiasWatchNeuro team ----------------------------------------------------- Please feel free to send conferences and meetings our way by filling out this <https://docs.google.com/forms/d/e/1FAIpQLSe5ydak4RqHyrVU2BGc17T_SXsFiYB9j_Y…> form. For more information: www.biaswatchneuro.com

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Invitation for papers submission to In Silico Pharmacology
by boris gutkin 20 Jul '20

20 Jul '20

On behalf of the In Silico Pharmacology (Springer) editorial board, we would like to invite papers at the interface between computational neuroscience, artificial intelligence, machine learning and neuropharmacology. In Silico Pharmacology provides a forum for peer-reviewed research articles at the cross-roads of computation, neuroscience, pharmacology and toxicology. It is anticipated that all computational and experimental approaches are represented within In Silico Pharmacology. The journal primarily publishes interdisciplinary papers that address computational approaches in multi-scale analysis of bioactive substances from the cellular up to behavioral level as well as drug-design. The journal especially encourages deterministic and stochastic modeling of biological (e.g., biochemical, biophysical and immunological) processes leading to therapeutic advancements, as well as mathematical methods characterizing the pharmacology of substances within the living organism. Papers investigating substance- or material-induced morphological and genetic alterations are also welcome. More information can be found at the journal website: https://www.springer.com/journal/40203/

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PhD Position in Computational Neuroscience at the University of Edinburgh
by CHADWICK Angus 20 Jul '20

20 Jul '20

Applications are invited for a fully-funded 3 year PhD studentship in Computational Neuroscience with Dr. Angus Chadwick at the Institute for Adaptive and Neural Computation in the School of Informatics, University of Edinburgh. Applicants should hold, or be close to completion of, an undergraduate or masters degree in physics, mathematics, computer science, engineering, or a related subject, and be interested in applying their analytical skills to tackle problems in neuroscience. Highly motivated students with other backgrounds may also apply. Research in our group focuses on the neural circuit computations underlying perceptual and cognitive function, with a focus on vision and spatial navigation. We use a combination of approaches, including 1) analysis and simulation of biological neural networks, 2) development of novel data analytic methods for large-scale neural recordings, and 3) normative models of neural circuit function informed by machine learning and artificial intelligence. Typical techniques used include dynamical systems theory, statistical physics, signal processing and machine learning. We collaborate closely with experimental neuroscience laboratories both in Edinburgh and further afield. A number of projects are available, and there is flexibility to develop a project to suit the interests and skills of the candidate. Edinburgh is a vibrant and international city with a large student population, and has been voted as “best place to live in Britain”. The School of Informatics hosts an internationally-leading research environment in Computational Neuroscience, Machine Learning and Robotics, with close links to the Centre for Discovery Brain Sciences and the School of Philosophy, Psychology and Language Sciences. Applicants should email Dr. Angus Chadwick directly at angus.chadwick(a)ed.ac.uk with their CV and a brief statement of interest, or for informal enquiries and discussion. Applications will be considered until the position is filled. The start date for the position is flexible (with earliest possible start September 2020). The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Release of CARLsim5 - Latest version of our GPU-accelerated Spiking Neural Network Simulator
by Jeffrey Krichmar 19 Jul '20

19 Jul '20

Dear Colleagues, We are pleased to announce the release of CARLsim5. CARLsim is an efficient, easy-to-use, GPU-accelerated library for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail. CARLsim allows execution of networks of Izhikevich spiking neurons with realistic synaptic dynamics on both generic x86 CPUs and standard off-the-shelf GPUs. The simulator provides an intuitive programming interface in C/C++, which allows for details and parameters to be specified at the synapse, neuron, and network level. The new release has a python frontend that is compatible with PyNN. Software and user documentation can be found at: https://github.com/UCI-CARL/CARLsim5 New and improved features in CARLsim5 include: · PyNN compatibility · Neuron monitor for observing the voltage and current traces of individual neurons · Improved installation for the Evolutionary Computations in Java (ECJ) interface (coming soon) · Docker images for Windows users and computer cluster users · Saving and loading simulations For those interested in the pyCARL interface, our IJCNN paper will be presented at the Plenary Poster Session I-P7: Spiking Neural Networks, Tuesday, July 21, 2:30PM-4:30PM GMT+1), IJCNN Poster Room 1: P1317 PyCARL: A PyNN Interface for Hardware-Software Co-Simulation of Spiking Neural Network [#20903] Sincerely, The CARLsim team Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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The Journal of Mathematical Neuroscience - recent articles
by Stephen Coombes 17 Jul '20

17 Jul '20

The Journal of Mathematical Neuroscience publishes research articles on the mathematical modelling and analysis of all areas of neuroscience. The current list of journal articles is available at http://www.mathematical-neuroscience.com/ : Methods to assess binocular rivalry with periodic stimuli Authors: Farzaneh Darki and James Rankin https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review Authors: Christian Bick, Marc Goodfellow, Carlo R. Laing and Erik A. Martens https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Spatially extended balanced networks without translationally invariant connectivity Authors: Christopher Ebsch and Robert Rosenbaum https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Geometry of color perception. Part 1: structures and metrics of a homogeneous color space Authors: Edoardo Provenzi https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… Mesoscopic population equations for spiking neural networks with synaptic short-term plasticity Authors: Valentin Schmutz, Wulfram Gerstner and Tilo Schwalger https://mathematical-neuroscience.springeropen.com/articles/10.1186/s13408-… All articles are Open Access. The Impact Factor of the journal is 2.091 ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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3 PhD/MSc Positions at the University of Calgary
by Wilten Nicola 17 Jul '20

17 Jul '20

The Nicola Computational Neuroscience lab at the University of Calgary in the Hotchkiss Brain Institute is looking for three talented researchers at the PhD/Masters level. *PhD/MSc Position 1: Analysis and Modelling of Trained Recurrent and Spiking Neural Networks * The Nicola Lab is looking for a talented Master's or PhD candidate with a strong background in pure or applied mathematics, or physics. The project will involve analyzing the structure and operation of trained spiking and recurrent neural networks to determine how these trained networks perform dynamics, solve tasks, and emulate behaviours. The ideal candidate will have a background in dynamical systems theory, functional analysis, and some statistical analysis, and have a BSc in pure or applied mathematics. Some knowledge of numerical methods and neuroscience is beneficial, but not required. *PhD/MSc Position 2: Modelling Spatiotemporal dynamics in whole-brain imaging* We are looking for a talented Master's or PhD candidate with a background in computational neuroscience, mathematics, or physics. The project will involve analyzing the emergent spatiotemporal dynamics of whole-brain Calcium imaging data obtained in the McGirr Lab for mice undergoing experimentally induced stress paradigms. The ideal candidate will have a background in dynamical systems theory, statistical analysis, and a particular focus on spatial models (Partial Differential Equations), or Markov Processes. The ideal candidate will have a background in scientific programming and numerical methods for the simulation and analysis of these models. *PhD/MSc Position 3: Investigating Synchrony in Spiking Neural Networks * The Nicola Lab is looking for a talented Master's or PhD candidate with a strong background in Applied or Pure mathematics with an emphasis on dynamical systems theory. The project will involve analyzing the synchronizability of non-smooth, integrate-and-fire type spiking neural networks under a variety of conditions. The ideal candidate will have a background in dynamical systems theory, functional analysis, and some statistical analysis, and have a BSc in pure or applied mathematics. The ideal candidate will have a background in scientific programming and numerical methods for conducting simulations. Interested candidates should clarify which position they are applying for in an email to wilten.nicola(a)ucalgary.ca and attach to this email their CV, undergraduate/master's degree transcripts, a letter of research interests, and the contact information for 2 referees. The start-dates are flexible. The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

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Scientific software developer position at the SimLab Neuroscience, Juelich, Germany
by Charl Linssen 16 Jul '20

16 Jul '20

(with apologies for any cross-posting) Dear colleagues, We have a Scientific software developer position available in the SimLab Neuroscience at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. We are looking for candidates with a proven track record in developing scientific software who are interested in further developing NESTML, a modelling language and corresponding toolchain for the convenient specification of neuron and synapse models and the automatic generation of efficient C++ code from this specification modelling language. For a full description and details of how to apply, please see the announcement on our website: *Scientific Software Developer in Computational Neuroscience* https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-230-E… The application deadline for the position is August 5th. Thank you for your consideration! With kind regards, Charl Linssen _____________________________________ Charl Linssen Ir. MSc SimLab Neuroscience / IAS-6 Jülich Supercomputer Centre (JSC) Institute for Advanced Simulation Forschungszentrum Jülich GmbH c.linssen(a)fz-juelich.de +49 (0)2461 61-5269 _____________________________________

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IMRF2020 postponed to June 07-10 2021 in Ulm, Germany
by Marc Ernst 15 Jul '20

15 Jul '20

Dear participants of the IMRF, Although, the COVID-19 situation is getting better in some places around the world, it is still getting worse in a lot of other places, and travelling to and from Germany is still far away from normal. Additionally, distancing restrictions apply and will likely apply for quite some more time (maybe until a vaccination has been found), which would not allow us to host as many people as anticipated at the venue we reserved in October 2020. As many other conferences, we also considered moving to an online format for the IMRF meeting (https://cops.ifp.uni-ulm.de/imrf2020/ <https://cops.ifp.uni-ulm.de/imrf2020/>). However, we feel the community would not benefit as much as having a meeting in person. Therefore, we decided to postpone the IMRF meeting once again (and hopefully for the last time) to June 07-10, 2021. Abstract submission and registration will stay open. All abstracts already submitted will further be considered. However, as there may be new data or insights gathered even during the COVID-19 pandemic, you can of course log on and adapt your abstracts until the new deadline for abstract submission. Same applies for the symposia already accepted. However, as the symposia have already gone through a review process, we would check these changes again and in case of substantial revisions we would probably re-review them again. We will announce the new deadlines for submission and registration in due time. The abstract submission and registration page can be found here: https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi… <https://cops.ifp.uni-ulm.de/imrf2020/index.php/imrf-2020/registration-submi…> Also for those who already registered, your registrations will stay valid. Others can register at any time. The new registration deadlines will also be announced soon. Sorry for the inconvenience this second postponement may cause and thanks for your understanding. Be safe and stay healthy!!!! Best, Mac Ernst on behalf of the IMRF Organizers.

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Professorship position in explainable/interpretable Machine Learning
by Jörg Lücke 15 Jul '20

15 Jul '20

Dear list, Let me draw your attention to a currently advertised position on explainable / interpretable learning algorithms. The position is in the Health Sciences but researchers with a data analysis background interested in developing in the direction of health data analysis are of interest. Also candidates with a computational neuroscience background or a robotics background are of interest. So the spectrum of potential candidate profiles is relatively broad. Please see the following link for the official advertisement. https://uol.de/stellen/?stelle=67364 The position is a German W2 Professorship position (similar Associate Professor). Thanks and best wishes, Jörg Lücke -- Jörg Lücke (PhD) Professor and Head of the Machine Learning Lab Department of Medical Physics and Acoustics School of Medicine and Health Sciences University of Oldenburg 26111 Oldenburg Germany www.uol.de/ml

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CNS*2020 Workshop on "Multi-disciplinary approaches to quantify and model calcium signaling in nervous systems and beyond", July 21-22, 2020 (8.30 am-5 pm BST / GMT+1)
by Maurizio De Pittà 14 Jul '20

14 Jul '20

Dear colleagues, Please share it with your contacts. I am delighted to be able to share with you the finalized program of the forthcoming Workshop on "Multi-disciplinary approaches to quantify and model calcium signaling in nervous systems and beyond," July 21-22, 2020 (8.30 am-5 pm BST / GMT+1) as part of the CNS*2020 Virtual Conference. Workshop website: https://sites.google.com/view/cns2020-calcium-workshop/home We are joining together some of the prominent scientists in the field, touching a whole range of topics and approaches, ranging from techniques and machine learning tools to acquire calcium signals in living systems, to modeling in neurons, synapses, glial and other systems of the body. Confirmed speakers (in alphabetical order): Amit Agarwal, Heidelberg University, Germany Johnatan Aljadeff, University of California at San Diego, USA Alexey Brazhe, Lomonosov Moscow State University, Russia Pengxing Cao, School of Mathematics and Statistics, University of Melbourne, Australia Evan Cresswell-Clay, National Institute of Health, USA & The Basque Center for Applied Mathematics, Spain Silvina Ponce Dawson, Department of Physics, FCEN-UBA & IFIBA, CONICET-UBA, University of Buenos Aires, Argentina Martin Falcke, Max Delbrück Center for Molecular Medicine Berlin, Germany Johannes Friedrich, Simons Foundation, USA Andrea Giovannucci, UNC-Chapel Hill/North Carolina State University, USA Michael Graupner, Université de Paris, CNRS, SPPIN, France Shawn Means, School of Natural and Computer Sciences, Massey University, New Zealand Vijai Rajagopal, University of Melbourne, AUS Leonid Savtchenko & Dimitri Rusakov, Queen Square Institute of Neurology, University College London, UK Simon Schultz, Centre for Neurotechnology and Department of Bioengineering, Imperial College London, UK Alexey Semyanov, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences, Moscow, Russia Ivo Siekmann, Department of Applied Mathematics, Liverpool John Moores University, UK Alexander Skupin, University of Luxembourg, Luxembourg James Sneyd, The University of Auckland, New Zealand Ghanim Ullah, University of South Florida, USA Agne Tilūnaitė, School of Mathematics and Statistics, University of Melbourne, Australia Ruediger Thul, The University of Nottingham, UK Attendance to the online Workshop is FREE but requires registration to the CNS*2020 meeting (this year free of charge). More Info: https://docs.google.com/document/d/1N45m5I4lZ4wUX4kOkxgPqEK4yeIdADuKgdqPuBF… Schedule of the Workshop's talks, along with Crowdcast links for individual sessions may be found on the Sched page of CNS*2020: https://cns2020online.sched.com/overview/type/Workshop/W02%3A+Calcium+signa… CALCIUM WORKSHOP webpage: https://sites.google.com/view/cns2020-calcium-workshop/home Thank you for your consideration. The workshop organizers: Pengxing Cao, University of Melbourne, Australia Maurizio De Pitta, Basque Center for Applied Mathematics, Spain Ivo Siekmann, Liverpool John Moores University, UK ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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Postdoc position at the Research Center Juelich
by Daun, Silvia 13 Jul '20

13 Jul '20

Dear All, I have a Postdoc postion to offer in my lab: "Researchers at the subinstitute Cognitive Neuroscience (INM-3) investigate the neural mechanisms underlying cognitive (dys-) function in healthy subjects and patients suffering from neurological and psychiatric disorders. Functional imaging (PET, MRI) and electrophysiological methods (EEG, TMS, tDCS) are combined with computational approaches. The successful candidate will investigate how neural information processing within the human motor system is impaired by (non-)pathological aging under the supervision of Prof. Dr. Silvia Daun. We are looking to recruit a Postdoc - Cognitive Neuroscience / Computational Neurology at the Research Center Juelich Your Job: • Design, acquisition and analysis of EEG data from healthy subjects and stroke patients • Development of analysis algorithms and mathematical models • Presentation and publication of the results • Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience Your Profile: • Completed study in Computer Science, Computational Neuroscience, Physics, Mathematics, Biomedical Engineering including an excellent doctoral degree • Significant programming skills (preferably in Matlab or Python) • Keen interest in cognitive and systems neuroscience • Experience with the conduction of EEG experiments • Proven scientific achievements as evidenced by publications in international, peer-reviewed journals • Interest in combining basic research and translational research on stroke patients • Good command of English • High social competence and organizational talent • High motivation Our Offer: • Exciting working environment on an attractive research campus with excellent infrastructure, located between the cities of Cologne, Düsseldorf, and Aachen • A stimulating, collaborative, and international research environment • A comprehensive further training programme • Flexible working hours and various opportunities to reconcile work and private life • Full-time position with the option of slightly reduced working hours • Limited for 3 years with possible longer-term prospects • Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD). Depending on the applicant`s qualifications and the precise nature of the tasks, salary grade EG 13 TVöD-Bund Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons." To apply, please follow the link: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-212-E… All the best, Silvia Prof. Dr. rer. nat. Silvia Daun Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de und Professorin für Computational Neuroscience - Modeling Neural Network Function Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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job post: machine learning research scientist at NIMH
by Francisco Pereira 12 Jul '20

12 Jul '20

*** HIRING: machine learning research scientist The Machine Learning Team at the National Institute of Mental Health (NIMH) in Bethesda, MD, has an open position for a machine learning research scientist. The NIMH is the lead federal agency for research on mental disorders and neuroscience, and part of the National Institutes of Health (NIH). *** About the NIMH Machine Learning Team Our mission is to help NIMH scientists use machine learning methods to address a diverse set of research problems in clinical and cognitive psychology and neuroscience. These range from identifying biomarkers for aiding diagnoses to creating and testing models of mental processes in healthy subjects. We work with many different data types, including very large brain imaging datasets from various imaging modalities, behavioral data, and picture and text corpora. We have excellent computational resources, both of our own (tens of GPUs for deep learning) and shared within the NIH (a cluster with hundreds of thousands of CPUs, and hundreds of GPUs). As a machine learning research group, we develop new methods and publish in the main machine learning conferences (e.g. NeurIPS and ICLR), as well as in psychology and neuroscience journals. Many of our problems require devising research approaches that combine imaging and non-imaging data, and leveraging structured knowledge resources (databases, scientific literature, etc) to generate explanations and hypotheses. You can find more about our work and publications at https://cmn.nimh.nih.gov/mlt *** About the position We are seeking candidates who are capable of combining machine learning, statistical, and domain-specific computational tools to solve practical data analysis challenges (e.g. designing experiments, generating and testing statistical hypotheses, training and interpreting predictive models, and developing novel models and methods). Additionally, candidates should be capable of visualizing and communicating findings to a broad scientific audience, as well as explaining the details of relevant methods to researchers in a variety of domains. Desirable experience that is not required, but will be considered very favorably: - neuroimaging data processing and analysis (any MRI modality, as well as MEG and EEG) - other types of neural data (e.g. neural recording, calcium imaging) - modelling of human and animal learning and decision-making - Bayesian statistical modelling Finally, you should have demonstrable experience coding in languages currently used in data-intensive, scientific computing, such as Python, MATLAB or R. Experience with handling large datasets in high performance computing settings is also very valuable. Although this position requires a Ph.D. in a STEM discipline, we will consider applicants from a variety of backgrounds, as their research experience is the most important factor. This is an ideal position for someone who wants to establish a research career in method development and applications driven by scientific and clinical needs. Given our access to a variety of collaborators and large or unique datasets, there is ample opportunity to match research interests with novel research problems. We also maintain collaborations outside of the NIH, driven by our own research interests. If you would like to be considered for this position, please send francisco.pereira(a)nih.gov a CV, with your email serving as cover letter. If you already have a research statement, please feel free to send that as well. There is no need for reference letters at this stage. Other inquiries are also welcome. Thank you for your attention and interest!

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Two Research (PhD) Positions in Machine Learning Theory and Applications - Oldenburg University, Germany
by Jörg Lücke 10 Jul '20

10 Jul '20

The Machine Learning Lab at the University of Oldenburg, Germany, is seeking to fill two positions for doctoral researchers Our Machine Learning Lab conducts mathematically grounded research on novel approaches in Machine Learning with a focus on probabilistic generative approaches including deep generative models. Examples are deep variational autoencoders, deep mixture models, and Bayesian networks. Our research projects are conducted in collaboration with leading international labs, and we publish in leading international journals and present on leading conferences. Our interests are in understanding methods and in developing novel approaches to solve difficult problems in Machine Learning. We are interested in problems with strong data corruptions, strong noise and in problems with few data or few labels. Furthermore, we are in general interested in the development of novel approaches that significantly improve learning efficiency (with applications to Big Data). At the same time, we model neural information processing using Machine Learning models in order to understand the nature of biological intelligence. The two positions will both allow for basic research, and they will both allow for applications to data for tasks such as data enhancement (denoising, inpainting, deblurring), unsupervised and semi-supervised learning, super-resolution, outlier detection etc. Part of one position has a focus on addressing such tasks for medical data. Ideal candidates have a strong background in a theoretical subject and/or a high interest in further advancing Machine Learning methods such as variational optimization. Example degrees that qualify for the positions are degrees in Physics, Mathematics, Statistics, in the Data Sciences or degrees of related disciplines. Strong programming skills are a big plus. Candidates have to hold a MSc degree or have to be sufficiently close to obtaining one. Interested researchers are invited to apply for both positions simultaneously (please indicate in the cover letter). This is an informal description of the positions. The only officially relevant descriptions can be found here (please follow the instructions therein): https://uol.de/stellen/?stelle=67425 https://uol.de/stellen/?stelle=67430 Both positions are funded for 2.5 / 3 years with an intention for extensions. Oldenburg is a nice and affordable place to live, and is located within 40mins travel time of the North Sea coast. It is part of the Bremen/Oldenburg metropolitan region of Germany with close cultural and academic links to Dutch cities like Groningen across the German/Dutch border. The application deadline for the positions is July 19, 2020. -- Prof. Dr. Jörg Lücke Leiter Abteilung Machine Learning Department für Medizinische Physik und Akustik Fakultät für Medizin und Gesundheitswissenschaften Carl von Ossietzky Universität Oldenburg D-26111 Oldenburg www.uol.de/ml

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Workshop: Open data, tools, and models from the Allen Institute supporting systematic computational studies in neuroscience
by Anton Arkhipov 10 Jul '20

10 Jul '20

Dear Colleagues, The Workshop “Open data, tools, and models from the Allen Institute supporting systematic computational studies in neuroscience” will take place online on July 21-23, 2020, as a part of the 29th Annual Computational Neuroscience Meeting (CNS*2020). Join us at the Workshop to learn about unique open datasets, software tools, and computational models from the Allen Institute and to discuss how the community can utilize these free resources to support and inform computational and theoretical work. To attend, please register for CNS*2020 at https://www.cnsorg.org/cns-2020 <https://www.cnsorg.org/cns-2020%0b>The registration is free. When: July 21-23, 2020, 8:00am-12:00pm, Pacific Time Workshop Reference: W6 Workshop Organizers: Anton Arkhipov (Allen Institute for Brain Science, Seattle, WA) Saskia de Vries (Allen Institute for Brain Science, Seattle, WA) Nuno da Costa (Allen Institute for Brain Science, Seattle, WA) Confirmed Speakers: Michael Buice (Allen Institute for Brain Science, Seattle, WA) Forrest Collman (Allen Institute for Brain Science, Seattle, WA) Eva Dyer (Georgia Tech, Atlanta, GA) Gaute Einevoll (University of Oslo, Oslo, Norway) Michael Hawrylycz (Allen Institute for Brain Science, Seattle, WA) Tim Jarsky (Allen Institute for Brain Science, Seattle, WA) Jerome Lecoq (Allen Institute for Brain Science, Seattle, WA) Gabriela Michel (Janelia Research Campus, Ashburn, VA) Stefan Mihalas (Allen Institute for Brain Science, Seattle, WA) Lydia Ng (Allen Institute for Brain Science, Seattle, WA) Blake Richards (McGill University, Montreal, Canada) Josh Siegle (Allen Institute for Brain Science, Seattle, WA) Bosiljka Tasic (Allen Institute for Brain Science, Seattle, WA) Jennifer Whitesell (Allen Institute for Brain Science, Seattle, WA) Joel Zylberberg (York University, Toronto, Canada) Further details: https://alleninstitute.org/what-we-do/brain-science/events-training/2020-cn… We hope to see you there! Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 [cidimage001.png(a)01D5F0E2.E3F24C00] www.alleninstitute.org<https://nam12.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.alleni…>

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9th International Summer School in Biomedical Engineering (2020)
by Dölker Eva-Maria TU Ilmenau 09 Jul '20

09 Jul '20

Dear Colleagues, We are pleased to announce that we have an excellent list of lecturers at the 9th International Summer School in Biomedical Engineering (2020) hold from 5th-11th August 2020 in Augustinerkloster in Erfurt, Germany. The program can be found on the summer school webpage: https://www.tu-ilmenau.de/bmti/wissenschaftliche-veranstaltungen/summer-sch… We are currently accepting PhD students and advanced Master students applications. Registration info can be found at the point “General Information”. Please send any enquiries to Eva-Maria Dölker <eva-maria.doelker(a)tu-ilmenau.de<mailto:eva-maria.doelker@tu-ilmenau.de>>. Best regards, Eva-Maria Dölker Organization of the Summer School

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FENS Workshop on Glial interfaces: Technology & Methods to uncover the 4D glial role in brain function & dysfunction
by Maurizio De Pittà 09 Jul '20

09 Jul '20

Dear colleagues, please mark it on your calendar and disseminate among your contacts: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/281 This year's FENS Forum of Neuroscience, which will take place online due to the ongoing Covid19 health emergency, will feature a multidisciplinary workshop on "Glial Interfaces: Technology & Methods to uncover the 4D glial role in brain function & dysfunction" on Saturday, July 11, 2020, 9 am-11.30 am (BST: British Summer Time, GMT+1). *** Program at a glance: Multiscale excitation and recording of astrocytes signaling and conductance by nanostructured devices, Valentina Benfenati, National Research Council, CNR-ISOF, Italy, Exposure to graphene oxide alters astrocyte homeostasis and astrocyte-to-neuron communication, Fabrizia Cesca, University of Trieste, Italy. Lessons learned from a tissue-engineered 3D model of the glial scar, Ana Paula Pêgo, Institute for Bioengineering (INEB), and Institute for Research and Innovation in Health (I3S), Portugal. Reverse engineering neuron-glial interactions: An overarching approach from cellular biophysics to medicine, Maurizio De Pitta, Basque Center for Applied Mathematics, Spain. Exploring the structure, neuronal content, and functional significance of astrocytic domains of behaving animals with CLARITY and 2-photon imaging, Adi Doron, The Hebrew University, Israel. The color of pain: Technology advances allowing the future objective quantification, Mark Hutchinson, University of Adelaide, Australia. *** A Live Q&A session will follow the workshop. For further information: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/281 Thank you for your consideration. Maurizio De Pitta ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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Call for papers: GEM 2021 - workshop on generative episodic memory
by Vinita Samarasinghe 09 Jul '20

09 Jul '20

Call For Papers: *GEM 2021**- Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 16-18 February 2021 /Ruhr University Bochum, Germany/ The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de is proud to announce a call for papers for its first workshop on generative episodic memory. Depending on the public health situation in February next year, the workshop will be in-person, virtual or a hybrid event. We invite submissions for talks and posters https://easychair.org/cfp/gem2021. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - University of Syracuse, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Deadlines [GMT +1 (CET)]: Abstract submission - 15.11.2020 Notification of acceptance - 19.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 44801 Bochum Tel: +49 (0) 234 32 27996 Email: samarasinghe(a)ini.rub.de

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Fully funded Ph.D. Studentship in Cognitive Computational Neuroscience
by Wong-Lin, Kongfatt 08 Jul '20

08 Jul '20

Applications are invited for a fully funded 3-year Ph.D. studentship in Cognitive Computational Neuroscience at Ulster University, UK. This Ph.D. project aims to develop computational modelling techniques to understand brain and behavioural data across primate species, and to apply techniques in computational neuroscience particularly biologically based neural network modelling to elucidate the mechanisms underlying abstract decision making. This Ph.D. project is part of an externally funded international collaboration: Prof. Michael Shadlen at Columbia University (USA), Prof. Stephan Bickel at Northwell-Hofstra School of Medicine (USA), Prof. Redmond O'Connell at Trinity College Dublin (Ireland), Prof. Simon Kelly at University College Dublin (Ireland), and Dr. KongFatt Wong-Lin at Ulster University (UK). Some relevant references: (i) O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 (ii) Atiya NAA, Rañó I, Prasad G, Wong-Lin K. A neural circuit model of decision uncertainty and change-of-mind. Nat Commun. 2019;10(1):2287. doi:10.1038/s41467-019-10316-8 (iii) O'Connell RG, Dockree PM, Kelly SP. A supramodal accumulation-to-bound signal that determines perceptual decisions in humans. Nat Neurosci. 2012;15(12):1729‐1735. doi:10.1038/nn.3248 This timely and exciting project is available in the Computer Science Research Institute and is tenable in the Faculty of Computing, Engineering and the Built Environment at Magee Campus. The successful Ph.D. candidate will benefit from the expertise of Ulster’s Cognitive and Computational Neuroscience, Machine Learning, and Computational Biology communities, and will interact closely with experimental collaborators. The student will gain valuable skills and knowledge in computational and mathematical modelling, biological signal processing, machine learning, high-performance computing, mathematics/statistics, and brain sciences. All applicants should hold a first or upper second class honours degree (or equivalent) in Physics, Mathematics, Computer Science, Mathematics, Engineering, Statistics, Neuroscience, Biology, or a cognate area. Applications will be considered on a competitive basis with regard to the candidate’s qualifications, skills, experience and interests. Successful candidates will enrol as of 1st January 2021, on a full-time programme of research studies leading to the award of the degree of Doctor of Philosophy. The Ph.D. studentship will comprise fees together with an annual stipend and will be awarded for a period of up to three years subject to satisfactory progress. Additional financial support may be available from research funding. If you wish to discuss your proposal or receive advice on this project please contact: Dr. KongFatt Wong-Lin, email: k.wong-lin(a)ulster.ac.uk . Procedure: For more information on applying: https://www.ulster.ac.uk/doctoralcollege Apply online: https://www.ulster.ac.uk/doctoralcollege/find-a-phd?type=funded The closing date for receipt of completed applications is 31st August 2020. Interviews will be held in September 2020, and starting date is on 1st January 2021. ------------------- Dr. KongFatt Wong-Lin Reader Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Ulster University, UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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PhD Position at the Brain Circuits and Behavior Lab, IDIBAPS, Barcelona
by DE LA ROCHA, JAIME(IDIBAPS) 08 Jul '20

08 Jul '20

We are offering a PhD position in the Brain Circuits and Behavior Lab (IDIBAPS, Barcelona) to participate, under the supervision of Jaime de la Rocha, in the ERA-NET project titled A neurocomputational biomarker assay for schizophrenia based on E/I-balance. The project aims to perform perceptual discrimination experiments in mice lacking the GluN1 subunit of NMDA receptors in PV cells, a known murine model for schizophrenia (SCZ). High-throughput behavioral experiments will be combined with neural population recordings and optogenetic manipulations to elucidate the relation between NMDA hypofunction, altered E/I balance in cortical circuits and perceptual discrimination deficits. The candidate will be part of the Brain Circuits and Behavior Lab in IDIBAPS (Barcelona) an interdisciplinary group led by Albert Compte and Jaime de la Rocha, which integrates students from different backgrounds and combines human and animal experiments with computational modeling to address questions related with perceptual decision making, learning and working memory (see braincircuitsbehavior.org<http://braincircuitsbehavior.org/>). IDIBAPS is a well-recognized biomedical research institute in Spain, located in the heart of Barcelona (www.clinicbarcelona.org/en/idibaps<http://www.clinicbarcelona.org/en/idibaps>). Our group is also an active member of the BARCCSYN community, a large and lively network of Systems and Computational Neuroscience Groups in Barcelona which offers a rich and stimulating environment for international students and postdocs (see barccsyn.org<http://barccsyn.org/>). The PhD project will take place in the context of a broader ERA-NET consortium formed by Philpp Sterzer (Charité), Tobias Donner (Univ. Hamburg UKE), Peter Uhlhaas (Univ. of Glasgow) and Srdjan Ostojic (Ecole Normale Supérieure). The goal of the full project is to use theoretical circuit models, human EEG/MEG experiments in SCZ patients and population recordings in mice to identify behavioral and neurophysiological biomarkers of SCZ. The candidate should have completed two degrees: a bachelor degree in either Biology, Psychology, Physics or Computer Science (or related), and a Masters in Neuroscience (or similar). She/he should have a strong interest in carrying out animal experiments, learning modern electrophysiology methods together with state-of-the-art quantitative data analysis techniques. She/he should contact Jaime de la Rocha (jrochav(a)clinic.cat<mailto:jrochav@clinic.cat>) and provide a motivation letter, a CV and the name of at least two referees. Gross annual salary will be 21.7k€ and the position’s starting date will be October 1st, although exceptions may apply. Students from under-represented ethnical groups are particularly encouraged to apply. Applications will be evaluated from July 31st on, until the position is filled. ******************************* Jaime de la Rocha Group Leader at IDIBAPS c. Rosselló 149-153 Barcelona, 08036 Spain Tel. (+34)932275400 (4307)

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[announcement] Dynamics Days Digital 2020: 24-26 August 2020
by desroche 08 Jul '20

08 Jul '20

Dear All, We are pleased to announce Dynamics Days Digital 2020 https://www.danieleavitabile.com/ddd2020/ <https://www.danieleavitabile.com/ddd2020/> Participation to the event is free of charge, but registration to our website is mandatory. Oral contributions are now closed, but poster submissions remain open through our website, until the 12th of July 2020. We confirm participation from the following plenary speakers: * Albert-László Barabási (Northeastern University, USA) * Nancy Kopell (Boston University, USA) * Corinna Ulcigrai (University of Zürich, Switzerland) Accepted minisymposia include: * Network dynamics in biological systems * Stochastic Oscillators * New Twists on Reaction-Diffusion Phenomena * Data-driven modeling of stochastic nonlinear dynamics: theory and computing * Symmetry breaking in collective behavior: swarming, flocking and chimeras * Complex network approaches for modelling system dynamics * Dimensional Reduction Methods for Coupled Oscillator Networks: Future directions * Dynamics of complex networks: from nature to technology * Complex dynamics in biological and synthetic cells * Dynamic properties from observations - mathematical methods and applications * Coordination of biological processes via traveling waves * Nonlinear wave patterns in biology * Singular Limits and Asymptotics-Adapted Numerical Schemes for Nonlinear Wave Equations * Smooth ergodic theory * Modelling the dynamics of Covid-19 Pandemic * Multiple scales in mathematical neuroscience We look forward to hosting you. The Organising Committee: Daniele Avitabile (chair) Peter Ashwin Christian Bick Mathieu Desroches

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CNS*2020 Online Meeting starts **July 18**
by Martin Zapotocky 07 Jul '20

07 Jul '20

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA* * The *29th Annual Computational Neuroscience Meeting (CNS*2020) *will take place online on *July 18--22*. *Registration is free of charge*. In addition to the Main Meeting sessions, the conference hosts 10 tutorials/showcases and 10 workshops, for a total of *over 200 oral and 200 poster presentations*. Keynote addresses will be given by Matt Botvinick, Zhaoping Li, Geoff Goodhill, and Daniel Polani. To gain access to the meeting schedule and the online sessions, please register at https://www.cnsorg.org/cns-2020 You can then use the CNS*2020 Sched instance to assemble a personalized meeting agenda. We hope that you will join us and the 1,200 already registered participants at the CNS*2020 Online Meeting. -- Martin Zapotocky, Ph.D. Institute of Physiology, Czech Academy of Sciences Videnska 1083 14220 Prague 4, Czech Republic URL: www.biomed.cas.cz/~zapotocky Tel: +420-241-062-708 Email: zapotocky(a)biomed.cas.cz Upozorneni: Neni-li v teto zprave vyslovne uvedeno jinak, ma tato E-mailova zprava nebo jeji prilohy pouze informativni charakter. Tato zprava ani jeji prilohy v zadnem ohledu ustavy AV CR, v.v.i. k nicemu nezavazuji. Text teto zpravy nebo jejich priloh neni navrhem na uzavreni smlouvy, ani prijetim pripadneho navrhu na uzavreni smlouvy, ani jinym pravnim jednanim smerujicim k uzavreni jakekoliv smlouvy a nezaklada predsmluvni odpovednost ustavu AV CR, v.v.i. Disclaimer: If not expressly stated otherwise, this e-mail message (including any attached files) is intended purely for informational purposes and does not represent a binding agreement on the part of Institutes of the Czech Academy of Sciences. The text of this message and its attachments cannot be considered as a proposal to conclude a contract, neither the acceptance of a proposal to conclude a contract, nor any other legal act leading to concluding any contract; nor does it create any pre-contractual liability on the part of Institutes of the Czech Academy of Sciences.

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Postdoc position in computational neuroscience at University of Pittsburgh
by Chengcheng Huang 07 Jul '20

07 Jul '20

The Huang group at the University of Pittsburgh has a postdoc position available immediately for computational modeling to understand how recurrent connections with synaptic plasticity shape the time scales in the auditory cortex. This position is part of a collaboration with Prof. Tobias Teichert and Prof. Dean Salisbury from the Department of Psychiatry at the University of Pittsburgh. This project aims to use a combination of modeling, electrophysiology and EEG recordings to investigate the circuit mechanisms underlying auditory refractoriness, as well as auditory dysfunction in Schizophrenia. In general, our group is interested in how different task and stimulus contexts change neuronal responses and the implications on neural coding. Other ongoing projects in the group include circuit models of interneuron subtypes and attentional modulation on information flow. The position is funded for two years, with an initial one-year appointment, and it can be possibly extended to three years. The project is funded by a Brain Initiative grant. Candidates should have a Ph.D. in a related field, such as computational neuroscience, mathematics, physics or engineering. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested applicants should email a CV and a brief research statement to Dr. Chengcheng Huang (huangc(a)pitt.edu) -- Dr. Chengcheng Huang Assistant Professor Department of Neuroscience and Department of Mathematics University of Pittsburgh

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Two PhD positions in computational neuroscience at the University of Amsterdam
by Jorge Mejias 07 Jul '20

07 Jul '20

Dear all, We have two PhD positions in computational neuroscience available at the Cognitive and Systems Neuroscience Group at the Swammerdam Institute for Life Sciences, University of Amsterdam (the Netherlands). Both positions are funded by the Human Brain Project (HBP-SGA3) and will be co-supervised by Cyriel Pennartz, head of the Cognitive and Systems Neuroscience Group, and Jorge Mejias, Principal Investigator of Computational Neuroscience. Position #1: The main objective of this PhD project is to develop a large, biologically plausible model of a cortical architecture that is trained for predictive object and scene representations and performs cognitive operations on these representations, such as scene segmentation, object categorization and object constancy in the face of variable sensory input. The candidate will closely collaborate with other computational neuroscientists, experimental neuroscientists, theoreticians and machine learning experts across different research teams in Europe. For this position, we are seeking a highly qualified and motivated candidate with a Master's degree in computational neuroscience or closely related field with a strong background in modeling neural networks or, alternatively, a MSc in machine learning/AI or biomedical, electronic or automation engineering, computer science, physics or a closely related field with a clear background or affinity for brain-inspired modeling. Strong programming skills in Python and experience in machine learning and (deep) neural network modeling is desirable. English is the official language of the lab, therefore good English communication skills are expected. Position #2: The main objective of this PhD project is to develop a biologically realistic computational model of multi-area cortical circuits involved in multisensory perception, categorization and sensory prediction. We will build a model constrained by state-of-the-art neuroanatomical data, which will include biologically relevant information such as cortical laminar structure, multiple cell types, and biologically realistic learning rules for synaptic plasticity. The model will be able categorize stimuli in simple multisensory tasks and will provide computational predictions on neural activity which we will compare to experimental data from collaborators. The candidate will also closely collaborate with other computational neuroscientists, experimental neuroscientists, theoreticians and machine learning experts across different research teams in Europe. For this position, we are seeking a highly qualified and motivated candidate with a Master's degree in computational neuroscience or closely related field (with a focus on modeling biological neural systems) or, alternatively, an MSc in physics, mathematics or a closely related field and a clear background or affinity for brain modeling. Strong mathematical skills including calculus, linear algebra, dynamical systems and complex systems, as well as strong computational skills (Python, NEST) are desirable. English is the official language of the lab, therefore good English communication skills are expected. For both positions, we offer a full-time appointment for a maximum period of four years (18 months plus a further 30 months after a positive performance evaluation) and should lead to a dissertation (PhD thesis). An educational plan will be drafted that includes attendance to courses and (international) meetings. The gross monthly salary will range from €2,395 in the first year to €3,061 in the final year, according to the Dutch salary scale for PhD candidates. Additional benefits include a holiday allowance and an end-of-year bonus (8% and 8.3% of the gross annual salary, respectively) and generous vacation, pension and social security conditions in accordance with the Collective Labour Agreement of Dutch Universities. Candidates coming from abroad might also be eligible for highly attractive tax benefits. The lab is located in the state-of-the art facilities of the Science Park at the University of Amsterdam, with good communications with other academic facilities and research centers in the city. The University of Amsterdam is a top research university with a strong focus on the research area of brain and cognition. As one of the most vibrant cities in Europe, Amsterdam has a rich historical and cultural heritage that includes the UNESCO World Heritage city center and canals, dozens of world-class museums and restaurants, and an exciting nightlife. The city promotes a healthy lifestyle with plenty of outdoor life, parks and recreational areas, an excellent bicycle path network, and an expat-friendly environment. The application deadline for both positions is July 24th, 2020. Candidates may apply to both positions, but they are asked to indicate their preference for any of them. Applications may only be submitted online by following the links below (where more detailed information about both positions is provided): Position #1: https://sils.uva.nl/shared/uva/en/vacancies/2020/06/20-352-phd-candidate-in… Position #2: https://sils.uva.nl/shared/uva/en/vacancies/2020/06/20-353-phd-candidate-in… Please include a letter of motivation and a CV, combined in one single pdf document. Make sure to mention the months (not just years) in your CV when referring to your education and work experience. To enable us to process your application immediately, please quote the vacancy number for the position you are applying for (20-352 for project #1, 20-353 for project #2). For informal inquiries, please contact Dr. Jorge Mejias (j.f.mejias at uva.nl). Kind regards, Jorge F. Mejias, PhD Assistant Professor of Computational Neuroscience Cognitive and Systems Neuroscience Group Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias -- Jorge F. Mejias, PhD Assistant Professor Cognitive and Systems Neuroscience Swammerdam Institute for Life Sciences University of Amsterdam, 1098XH Amsterdam The Netherlands www.ugr.es/~jmejias

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PhD Position on the Brain, Language and Multilingualism
by Narly Golestani 06 Jul '20

06 Jul '20

With the launch of a new ‘NCCR Evolving Language’ (http://www.snf.ch/SiteCollectionDocuments/nfs/Faktenblatt_NCCR_evolvinglang…) which involves nearly 40 different research groups from a large variety of disciplines across Switzerland, we seek to fill a PhD position for a four-year project, starting in September or October 2020. Our goal is to make progress in understanding language giftedness from cognitive, psychological and neural perspectives. To this end, we plan to carry out a set of studies involving acquisition of both behavioral measures of cognitive and language-related abilities (e.g. auditory/perceptual abilities, phonemic perception and production, inductive learning, working memory etc) and of brain imaging measures (fMRI and sMRI). The project will be supervised by Narly Golestani (University of Geneva) and Raphael Berthele (University of Fribourg), and will be done in collaboration with a postdoctoral fellow. Data will be collected with Francophone (mono- and multilingual) subjects. Applicants should hold have a background in cognitive neuroscience or psychology, with solid experience in brain functional neuroimaging (ideally fMRI), behavioral testing and strong statistics skills. Command of the French and English languages is essential. Given hiring restrictions due to Covid19, priority will be given to European applicants, at least for now. The NCCR places great emphasis on gender diversity and we particularly encourage women to apply. Applicants may send a pdf file including a cover letter, a CV, names and contact information of 3 references as well as any other relevant documents to Narly.Golestani(a)unige.ch<mailto:Narly.Golestani@unige.ch> and Raphael.berthele(a)unifr.ch<mailto:Raphael.berthele@unifr.ch>. Deadline for application: July 22nd 2020 ----------------------------------------------------------------------------------------------------------------------------------------------------------------- Brain and Language Lab Prof. Narly GOLESTANI Department of Psychology Campus Biotech 9 Chemin des Mines, 1202 Genève +41 22 379 53 52 <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>http://www.brainandlanguagelab.org https://twitter.com/brain_lang_lab ----------------------------------------------------------------------------------------------------------------------------------------------------------------- <https://outlook.unige.ch/owa/redir.aspx?SURL=5WTo-p-J-W9FrDydU-0WU4PdMytUGs…>

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Offer of a PhD position
by Daun, Silvia 06 Jul '20

06 Jul '20

Dear All, I have a PhD position to offer in my lab: "Researchers at the subinstitute Cognitive Neuroscience (INM-3) investigate the neural mechanisms underlying cognitive (dys-) function in healthy subjects and patients suffering from neurological and psychiatric disorders. Functional imaging (PET, MRI) and electrophysiological methods (EEG, TMS, tDCS) are combined with computational approaches. The successful candidate will investigate how neural information processing within the human motor system is impaired by (non-)pathological aging under the supervision of Prof. Dr. Silvia Daun. We are offering a PhD Position - Cognitive Neuroscience / Computational Neurology at the Research Center Juelich Your Job: * Acquisition and analysis of EEG and fMRI data from healthy subjects and stroke patients * Implementation of analysis algorithms * Presentation and publication of the results * Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience Your Profile: * Excellent University degree (Diploma/Master) in Computational Neuroscience, Physics, Psychology, Biomedical Engineering or a related field * Solid programming skills (preferably in Matlab or Python) * Keen interest in cognitive and systems neuroscience * Good command of English Our Offer: * Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree * A highly motivated group as well as an international and interdisciplinary working environment at one of Europe`s largest research establishments * An attractive research campus, situated between the cities of Cologne, Düsseldorf, and Aachen * Chance of participating in (international) conferences and project meetings * Continuous scientific mentoring by your scientific advisor * Doctoral degree conferred by University of Cologne * Participation in overarching seminars including certificate * Further development of your personal strengths, e.g. via a comprehensive further training programme * Pay in line with 65 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund). Pay higher than the basic pay may be possible * Information on employment as a PhD student at Forschungszentrum Jülich can be found here http://www.fz-juelich.de/gp/Careers_Docs Forschungszentrum Jülich promotes equal opportunities and diversity in its employment relations. We also welcome applications from disabled persons." To apply, please follow the link: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020D-071-… All the best, Silvia Prof. Dr. rer. nat. Silvia Daun Kognitive Neurowissenschaften Institut für Neurowissenschaften und Medizin (INM-3) Forschungszentrum Jülich Leo-Brandt-Str. 5 52425 Jülich Telefon: 02461-61-8638 Telefax: 02461-61-9853 Email: s.daun(a)fz-juelich.de und Professorin für Computational Neuroscience - Modeling Neural Network Function Zoologisches Institut Universität zu Köln Biowissenschaftliches Zentrum, Zi. 1.104 Zülpicher-Straße 47b 50674 Köln Telefon: 0221-470-3829 Telefax: 0221-470-4889 Email: silvia.daun(a)uni-koeln.de http://www.neuro.uni-koeln.de/neuro-gruhn-staff-sg.html ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque 01 Jul '20

01 Jul '20

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo, Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering *three post-doctoral fellowships* for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the post-doc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (main campus, São Paulo), USP campus Ribeirão Preto or University of Campinas (UNICAMP). We seek candidates capable to develop independent research in one of the research lines below: 1. Stochastic and/or computational modeling of the brain functioning; 2. Acquisition, processing and quantitative analysis of electrophysiological data; 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered; and/or - A strong mathematical and / or computational background and experience with computers and programming. Previous experience with development and / or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming; and/or - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: - A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic / electric field simulation will be favorably considered; and/or - A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions* Applicants should complete and submit the application form (https://neuromat.numec.prp.usp.br/postdoc/new/) The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see http://www.fapesp.br/en/6351 for instructions); - List of publications, with links to those available online; - A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program ( https://neuromat.numec.prp.usp.br/scientific-project/) - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. FAPESP requirements: The candidate should have concluded a doctorate less than seven years before the beginning of the PD fellowship. The fellowship demands full-time dedication to the research project (except under conditions outlined in resolution PR Nº 13/2009, 15 July 2009). The fellowship holder may not hold any formal or informal employment nor receive, during the term of the fellowship, a fellowship from another entity, salary or remuneration deriving from the exercise of activities of whatever nature (except under conditions outlined in the decree PR Nº 13/2009, 15 July 2009). *Timetable* Candidates are encouraged to apply at their earliest convenience until August 16, 2020. Appointments are expected to start by November 1st, 2020. The initial period of the position lasts for 12 months, with possible renovations for up to three years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of R$ 7,373.10 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. Check the rules of FAPESP post-doctoral fellowships at: http://www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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