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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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