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Postrdoc & PhD Positions in Human Multisensory Perception, Action & Learning, Ulm Germany
by Marc Ernst Sept. 16, 2020

Sept. 16, 2020

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 Sept. 15, 2020

Sept. 15, 2020

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 Sept. 15, 2020

Sept. 15, 2020

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 Sept. 15, 2020

Sept. 15, 2020

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 Sept. 14, 2020

Sept. 14, 2020

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 Sept. 14, 2020

Sept. 14, 2020

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 Sept. 13, 2020

Sept. 13, 2020

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 Sept. 13, 2020

Sept. 13, 2020

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 Sept. 12, 2020

Sept. 12, 2020

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 Sept. 11, 2020

Sept. 11, 2020

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 Sept. 11, 2020

Sept. 11, 2020

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 Sept. 11, 2020

Sept. 11, 2020

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 Sept. 9, 2020

Sept. 9, 2020

*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 Sept. 7, 2020

Sept. 7, 2020

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 Sept. 7, 2020

Sept. 7, 2020

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 Sept. 6, 2020

Sept. 6, 2020

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 Sept. 3, 2020

Sept. 3, 2020

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 Sept. 3, 2020

Sept. 3, 2020

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 Sept. 3, 2020

Sept. 3, 2020

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 Sept. 2, 2020

Sept. 2, 2020

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) Sept. 1, 2020

Sept. 1, 2020

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 Sept. 1, 2020

Sept. 1, 2020

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 Sept. 1, 2020

Sept. 1, 2020

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 Sept. 1, 2020

Sept. 1, 2020

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 Aug. 31, 2020

Aug. 31, 2020

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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