- Comp-neuro - lists.cnsorg.org

Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona
by Ruben Moreno Bote 13 Jan '20

13 Jan '20

Dear Comp-neuro members, The Master in Brain and Cognition being offered at Pompeu Fabra University (UPF), Barcelona, Spain (http://www.upf.edu/mbc/) opens the rolling application period (final deadline is June 2020). The core of the master's programme is composed of the research groups at UPF's Center for Brain and Cognition (http://cbc.upf.edu) In this email, we emphasize the possibility of participation of outstanding candidates with strong quantitative background, such as physics, mathematics or machine learning eager to learn about computational neuroscience. Candidates with these backgrounds could perform research activity with the following experts in computational neuroscience: Gustavo Deco (http://cns.upf.edu/) Albert Compte (http://complab.fcrb.es/complab/pres) Ruben Moreno-Bote (https://www.upf.edu/web/tcn) Overall, the groups participating at the Master are directed by renowned scientists in areas such as computational neuroscience, cognitive neuroscience, psycholinguistics, vision, multisensory perception, human development and comparative cognition http://cbc.upf.edu/node/498 Students will be exposed to ongoing research projects at the Center for Brain and Cognition and will be integrated in one of its main research lines, where they will conduct original research for their final project. Please visit the Master’s web page or contact mbc(a)upf.edu for further information. Scientific-related questions such as fit of quantitative backgrounds can be consulted to Ruben Moreno-Bote, ruben.moreno(a)upf.edu -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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Post-doctoral position Computational Neuroscience, Moreno-Bote Lab, Barcelona
by Ruben Moreno Bote 13 Jan '20

13 Jan '20

We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote lab. We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI, ICREA and the Spanish MINECO. APPLICATION: A full CV in pdf format, a 1 page-long project in pdf format, and names and email addresses of 2 referees should be sent to the following address: ruben.moreno(a)upf.edu Informal inquiries are welcome. DEADLINE: up to the position is filled STARTING DATE: any time between September 2020 and January 2021 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab
by Ruben Moreno Bote 13 Jan '20

13 Jan '20

PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by HHMI, ICREA and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2020 and January 2021

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Research assistant (PhD position) in the European School of Network Neuroscience (EuSNN).
by Peter König 12 Jan '20

12 Jan '20

Research assistant (PhD position) in the European School of Network Neuroscience (EuSNN). About the project: EuSNN will integrate leading European groups in network neuroscience and deliver training on knowledge and skills that enable students to pursue a successful career in this emerging field. euSNN will combine and train all approaches relevant for investigation of brain networks, including (f)MRI, M/EEG, in-vivo recordings, analysis, modelling, network modulation with optogenetics or non-invasive neurostimulation and studies on network changes in neurological disorders. Be part of it. The tendered position is funded by a Marie Curie grant, in which we participate together with more than 10 top international Universities. (Secondments at several partner laboratories are part of the training.) The partner SciCovery will work on online assessment of stroke and PD patients with altered network dynamics and, thus, affected cognitive capacities, enables us to better understand the effects found in the lab and generalize them to the overall population. For this purpose the early stage researcher (ESR) will further develop the Labvanced platform (https://www.labvanced.com) , which is one of the most advanced internet systems for online research (web-based experiments). Labvanced offers researchers the possibility to create, share and record complex online experiments using an easy to use graphical interface. On top of this, we offer brand new features using latest web technologies, such as webcam based eyetracking, audio recordings, real time interaction for multiple participants. Labvanced is now used by many research institutes world-wide. About the job: This exciting job offer combines web development, scientific research and interaction with several other research groups, data analysis, and the experience of working in a startup environment. Funding is provided by the EU’s Marie Curie (Horizon 2020) program for 3 years with a full time contract. This position is tendered in collaboration with the research group of Prof. Peter König at the Institute of Cognitive Science, University of Osnabrück (Germany). Skills and Qualifications: Excellent MSc degree in Cognitive Science, Computer Science, Computational Neuroscience or related fields. Profound knowledge of at least one higher level programming language (e.g. Javascript, Python, Java). Interest in creating, conducting, and analyzing behavioral experiments. Be able to work independently in an organized and reliable manner. Experience with git workflows. English (Intermediate level or above) is required, both verbal and in writing. Please note the eligibility criteria for researchers in Marie Sklodowska-Curie ITNs: They must be in the first four years of his/her research career, not have a doctoral degree, and not have resided in the country of the recruiting beneficiary (i.e. Germany) for more than 12 months in the 3 years immediately before the recruitment date. Bonus Points: Interest to work in a startup environment and interaction within an international collaboration, including performing secondments at partner sites. Familiarity with JavaScript, HTML5, CSS3, Node.js. or databases. Proficient understanding of cross-browser and cross-platform (Windows, Linux, Android) compatibility issues. Experience with experimental designs and data analysis Interest to create online assessment tools for stroke and PD patients. Interested in community management and supporting other researchers on our platform. Key Responsibilities: Develop and improve features on the Labvanced platform. Implement a test battery / online assessment capabilities for stroke and PD patients to assess affected cognitive capacities. Monitoring during the data acquisition process and support for longitudinal studies on mobile systems. Collaborate with scientific partners of the Marie Curie consortium for the validation of the test battery and for the data analysis. Analyze the recorded behavioral data in a professional scientific way. Write up concise and meaningful summaries / presentations as well as prepare documents for peer-reviewed publications. What we offer: Obtain a PhD in Cognitive Science from the University of Osnabrück while working in an IT-startup! Opportunities for both local and international travel and present your work at several conferences and workshops. Flexibility in self organising your working hours and location. Work in close collaboration with the interdisciplinary Neurobiopsychology group of Prof. Dr. Peter König at the University of Osnabrück (see https://www.ikw.uni-osnabrueck.de/en/research_groups/neurobiopsychology.html ) Competitive salary with (full-time) employment for up to 3 years. Interested candidates please send your CV to: contact(a)labvanced.com, pkoenig(a)uos.de For further information about MSCA-ITN under EU H2020, see: https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodows… -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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Postdoctoral Position at the University of Calgary
by Wilten Nicola 09 Jan '20

09 Jan '20

*POSTDOCTORAL SCHOLARSHIP* *UNIVERSITY OF CALGARY* *CHIMERA STATES IN NEURONAL CIRCUITS* The Complexity Science Group at the University of Calgary invites applications for a Postdoctoral Scholar in the field of *complex* *networks* *and* *neuronal* *dynamics*. The successful applicant is expected to work closely with a multidisciplinary research team co-led by Dr. Wilten Nicola and Dr. Jörn Davidsen on questions related but not limited to the emergence of chimera states in circuits of neurons. Successful candidates are expected to primarily conduct theoretical and computational research in collaboration with a number of experimental and clinical partners. More information about the Complexity Science Group is available at www.ucalgary.ca/complexity/. Candidates should have received or will soon receive a PhD in mathematics, theoretical physics or a related discipline. Chimera states have been demonstrated previously in simple homogeneous Kuramoto oscillator systems, however, they have only been recently demonstrated to exist in physical systems. Postdoctoral candidates will be expected to have prior expertise in analyzing Wilson-Cowan or Kuramoto Oscillator systems, in addition to analyzing experimental data from in vivo and in vitro neural recordings. A general background in complex networks, neuroscience, computational physics or nonlinear dynamics is beneficial. The position will be sponsored by the University of Calgary’s Hotchkiss Brain Institute and targets candidates of the highest caliber. Possible start dates are between July 1, 2020 and January 1, 2021. The start date has to be within five years of being awarded a PhD degree. The position is for two years and includes an annual stipend of $50,000 including benefits. Applicants should submit their application package including a cover letter, CV with a list of publications, reprints of (up to) three most relevant publications, brief statement of research interests and their possible start dates in PDF format to wilten.nicola(a)ucalgary.ca or davidsen(a)phas.ucalgary.ca. Applicants should arrange for at least two letters of reference to be sent as well. Review of applications will begin February 3, 2020 and continue until the position is filled. For additional information and informal inquiries, please contact Dr. Wilten Nicola or Dr. Jörn Davidsen. *About the University of Calgary* The University of Calgary is a leading Canadian university located in the nation’s most enterprising city. The university has a clear strategic direction to become one of Canada’s top five research universities, where innovative teaching and groundbreaking research go hand in hand, and where we fully engage the communities we both serve and lead. The strategy is called Eyes High, inspired by our Gaelic motto, which translates to ‘I will lift up my eyes.’ *About Calgary* Named a cultural capital of Canada and one of the best places to live in the world, Calgary is a city of leaders – in business, community, philanthropy and volunteerism. Canada’s fastest-growing major city, is vibrant and multicultural with a population of more than 1,000,000. Calgarians benefit from the strongest economy in the nation and enjoy more days of sunshine per year than any other major Canadian city. Calgary is less than an hour’s drive from the majestic Rocky Mountains and Banff National Park and boasts the most extensive urban pathway and bikeway network in North America. *Wilten Nicola*, PhD Assistant Professor Cell Biology and Anatomy Department University of Calgary HMRB 113, 3330 Hospital Drive NW Calgary, Alberta, CANADA T2N 1N4 T: 1.403.220.4973 wilten.nicola(a)ucalgary.ca The University of Calgary is a global intellectual hub located in Canada’s most enterprising city. In our spirited, high-quality learning environment, students thrive in programs made rich by research, hands-on experiences and entrepreneurial thinking. Our strategy drives us to be recognized as one of Canada’s top five research universities, engaging the communities we both serve and lead. This strategy is called Eyes High, inspired by the university's Gaelic motto, which translates as 'I will lift up my eyes.' For more information, visit ucalgary.ca/eyeshigh.

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Postdoc in New York in computational neuroscience
by Ruben Coen-Cagli 09 Jan '20

09 Jan '20

**Apologies for cross posting Postdoc in New York in computational neuroscience The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (AECOM) in New York City. We are looking for a highly creative and motivated individual to work on a NIH funded project<https://projectreporter.nih.gov/project_info_description.cfm?aid=9916219&ic…> that addresses perceptual grouping and segmentation, using visual psychophysics in human participants and machine learning algorithms for segmentation. The project is a collaboration with the laboratory of Pascal Mamassian<https://lsp.dec.ens.fr/en/member/647/pascal-mamassian> at Ecole Normale Superieure, Paris, and the fellow will have the opportunity for substantial interactions with and travel to the Mamassian lab. Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. The ideal candidate has substantial prior experience in either computer vision or visual psychophysics; a strong background in computational neuroscience; and advanced analytical and programming skills. Our lab studies how biological sensory systems interpret the surrounding environment. Topics include probabilistic representations of natural images, models of selectivity and variability in large cortical populations, perceptual uncertainty. We combine theories of probabilistic neural coding, computer vision and machine learning, psychophysics, and neurophysiology through collaborations. Close interaction and collaboration with other members of the lab and the department is anticipated. AECOM offers a vibrant interdisciplinary environment, with a growing systems and computational contingent. It is located in a quiet neighborhood of New York, only a short subway ride from Manhattan. Information about working at the AECOM, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/ The position starts in spring/summer 2020, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans.

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Reminder: Call for papers for Vision Research special issue on "Calibrating the visual system"
by Ruben Coen-Cagli 09 Jan '20

09 Jan '20

**Apologies for cross posting Calibrating the visual system Vision Research seeks contributions for a special issue entitled ‘Calibrating the visual system’. Visual systems evolved according to consistent characteristics of the environment and task demands of the species, but also to be malleable in order to adapt to specific perturbations in the stimulus and the observer. The special issue aims to integrate work on the calibration of visual processes in relation to the stable properties of natural scenes or to variations in the sensory stimulus or the individual’s sensory apparatus, in different visual domains and over different time scales. Of particular interest are processes of short, medium and long-term adaptation, and processes to maintain perceptual constancy, as well as processes that occur during visual development. We are also seeking papers concerned with the benefits, costs, and limitations of these adaptations for optimal encoding of visual information, and for learning and representing relevant stimuli in the environment. We are seeking both original research articles and reviews on this subject, covering diverse methods including psychophysics, physiology, neuroimaging, and computational modelling Guest Editors: Jenny Bosten, University of Sussex Ruben Coen Cagli, Albert Einstein College of Medicine Anna Franklin, University of Sussex Samuel Solomon, UCL Michael Webster, University of Nevada, Reno Submission Deadline: March 2020 Manuscripts are submitted through the Special Issue portal of the submission system and go through peer review as usual. Each article in the special issue is assigned a unique identifier and once the article is accepted will be published in a regular journal issue as soon as available. The unique identifier allows us to simultaneously add the article to the special issue on ScienceDirect which is gradually built up as individual articles are published online. We do provide Shared Link of the final published version to the corresponding authors with 50 days free access so that they can share it. Submission Instructions https://ees.elsevier.com/vr/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fees.elsev…> Authors to select “VSI: Calibrating vision” as article type when submitting their special issue paper in EES. Guide for Authors for more details is https://www.elsevier.com/journals/vision-research/0042-6989/guide-for-autho…<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.elsev…> <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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Faculty positions at Imperial's EEE department on Robotics & Machine Learning (deadline: Jan 27)
by Dan Goodman 08 Jan '20

08 Jan '20

We are expanding our research activities in Robotics and Machine Learning at the Electrical and Electronic Engineering department at Imperial College, and we are looking to appoint up to 2 new permanent faculty (UK Lecturer/Senior Lecturer level, US equivalent is Assistant/Associate Prof) in the Intelligent Systems and Networks Group. More details here: https://www.imperial.ac.uk/jobs/description/ENG01119/lecturersenior-lecture… These posts aren't intended for computational neuroscientists specifically, but might be interesting for someone who has worked applying computational neuroscience ideas to robotics or "intelligent systems" in a fairly applied way (i.e. actual robots not just simulators). Closing deadline is Jan 27th, so apply soon! Dan

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Staff Scientist/Engineer Position at NIMH (Bethesda, MD)
by Dave Jangraw 06 Jan '20

06 Jan '20

HIRING: Staff Scientist/Engineer <https://github.com/djangraw/hiring/tree/master/Staff#who-we-are>Who we are: Drs. Daniel Pine <https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…> and David Jangraw <https://davidjangraw.wordpress.com/> are seeking applicants for a Scientist/Engineer position that would program and maintain experimental tasks and hardware for the study of pediatric mental illnesses in the Emotion and Development Branch <https://www.nimh.nih.gov/research/research-conducted-at-nimh/research-areas…>. Our aims are to better understand the causes and mechanisms of certain psychiatric disorders, improve their definition and classification, and ensure the best treatment can be offered to psychiatric patients. We do this by identifying neuroscience-based phenotypes that map onto clinical phenotypes, and which can be targeted with novel treatments. <https://github.com/djangraw/hiring/tree/master/Staff#what-you-will-do>What you will do: The candidate will help the lab apply cutting-edge data collection methods to research on anxiety and mood disorders in young people. They will work closely with post-doctoral fellows to develop new tasks in PsychoPy (some existing tasks are written in E-Prime). The candidate will discuss the post-doc's plans, advise them on technical aspects of the task, and write the task code. Many tasks must collect behavioral data and synchronize it with physiology and brain imaging data. They will also write and maintain pre-processing and/or analysis pipelines for data from these tasks. In addition, the candidate will install and maintain software and hardware required for data collection, including EyeLink eye trackers and Biopac physiology monitors. The candidate will work closely with the NIMH's functional magnetic resonance imaging (fMRI) core when dealing with specialized hardware for use during brain scans. A motivated candidate could also advance the lab's new techniques, including wearable heart monitors and eye trackers, remote data collection with Amazon Mechanical Turk, Affectiva facial expression analysis, and iPhone app development. This is an extremely collaborative position that requires a blend of technical expertise and skilled communication. The candidate will assist about a dozen post-docs in 3 different research groups, balancing multiple projects at any given time. They must work with the post-docs and their principal investigators to establish priorities, timelines, and expectations. They must be comfortable working with team members who have different levels of technical experience. <https://github.com/djangraw/hiring/tree/master/Staff#who-you-are>Who you are: Candidates with a strong programming or engineering background who are interested in psychology and neuroscience are encouraged to apply. Requirements for this position include: - Bachelor's degree or (preferably) MS or PhD in computer science, engineering, neuroscience, or a related field - ≥3 years of programming experience in Python (preferably) or in R/Matlab - Strong organization skills and an ability to balance multiple projects - Excellent interpersonal and written (English) communication skills Desirable experience includes: - Research experience in psychology or neuroscience - Experience with PsychoPy or other experimental design software - Experience with eye tracking, physiology, or fMRI hardware - Knowledge of software for processing neuroimaging data <https://github.com/djangraw/hiring/tree/master/Staff#how-to-apply>How to apply: The successful candidate will work jointly with Drs. Daniel Pine and David Jangraw, as well as other staff and fellows in the Emotion and Development Branch. Please write to them (pined(a)mail.nih.gov, david.jangraw(a)nih.gov) with your CV, using the email as the cover letter. Other enquiries are also very welcome. The National Institutes of Health is an equal opportunity employer.

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Postdoctoral Research Fellow in Computational Neuroscience, University of Exeter, UK
by Roman Borisyuk 06 Jan '20

06 Jan '20

A Postdoctoral Research Fellow position in Computational Neuroscience is available at the University of Exeter, UK to work on a 3-year BBSRC-funded project, in collaboration with neurobiologists from the University of St Andrews. Vertebrate neural circuits can dynamically change their activity to generate an appropriate behaviour in response to a changing environment. This project asks how neural networks can switch between different behaviours. Specifically, you will investigate the dynamic transitions between two rhythmic activity patterns in the spinal circuits of the tadpole to discover the cellular and network mechanisms driving this transition. You will build and simulate biologically realistic models of neural activity from population to conductance-based level as well as probabilistic models of connectivity (Roberts et al., J Neurosci 2014; Borisyuk et al., PLOS One 2014; Ferrario et al., eLife 2018). You will be supported by experimental collaborators who have determined neuronal and network properties with an exquisite level of detail. Predictions from your simulations will be tested experimentally using an array of electrophysiology and imaging tools. Fundamental neuronal mechanisms are highly conserved across vertebrate species, so your results will provide insight on dynamic circuit reconfiguration in more complex neural networks in mammals. We are seeking an outstanding scientist with a PhD in computer science, mathematics, physics, or engineering. A strong experience in neuronal modelling and excellent programming skills (in languages such as C++, Python, MATLAB) are expected. The ideal candidate will be familiar with the nonlinear dynamics of neural activity, have experience in developing models of electrically excitable cells (e.g. Hodgkin-Huxley type), and possess knowledge in neurophysiology. Applicant should be highly motivated for research, have excellent organizational skills, and be able to communicate effectively with outstanding writing ability. The University of Exeter provides a vibrant environment for multidisciplinary studies. This is facilitated by the newly built Living Systems Institute, which promotes collaborations between neuroscientists, mathematicians, and computer scientists. Exeter is a mid-sized city in the South West of England, just a few miles from the beautiful Jurassic coast and wild moor lands. For more information about this job and to apply, please follow the link http://bit.ly/ResearchFellowExeter Enquiries: Dr Joel Tabak j.tabak(a)exeter.ac.uk Prof Roman Borisyuk r.m.borisyuk(a)exeter.ac.uk ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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CNS*2020 Melbourne: Call for Workshops and Tutorials
by Martin Zapotocky 06 Jan '20

06 Jan '20

Organization for Computational Neurosciences 2885 Sanford Ave SW #15359 Grandville, MI 49418 USA *Call for Workshops and Tutorials at the 29th Annual Computational Neuroscience Meeting (CNS*2020), Melbourne, July 18--22* We are requesting proposals for workshops and tutorials from the international community of computational neuroscientists. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. This is a great opportunity to organize a small meeting or introduce novel methodology with just a few of the headaches of actually organizing it. We are looking forward to your submissions. CALL FOR *WORKSHOPS* (see below and also https://www.cnsorg.org/cns-2020-call-for-workshops <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>) Peter Jedlicka, Workshops Chair for CNS 2020 CALL FOR *TUTORIALS* (see below and also https://www.cnsorg.org/cns-2020-call-for-tutorials <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>) Anca Doloc-Mihu, Tutorials Chair for CNS 2020 ------------------------------------------------------------------------ 1. WORKSHOP PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Workshops, in which computationally related neuroscience topics can be presented, will take place during the last two days (*July 21 and July 22, 2020*) of the 29th Annual Computational Neuroscience Meeting <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>. For each workshop, usually, several speakers are invited to introduce a unifying theme, but ample time for discussion should also be planned. *Please note that there is a change in the format of the meeting compared to previous years.* The main meeting will conclude on July 21, with a keynote lecture and a poster session taking place in the afternoon. The morning of July 21 is reserved for workshops. A goal of this "mixed day" of the meeting is to facilitate an overlap of attendance. Participants who have registered for either the main meeting or the workshops will be allowed to attend all of the events on July 21 (workshops, keynote, poster session). The last day of the meeting, July 22, is reserved for workshops, as in the previous years (workshop registration will be required to attend). Accordingly, the possible duration of a workshop is anywhere from 0.5 days (one session lasting 3.5 hours) to 1.5 days (three half-day sessions). Half-day workshops will be preferentially scheduled for July 21. They will thus offer the opportunity to attract a wider audience still present for the main meeting. Submit workshop proposals to *workshops AT cnsorg.org*. The Past Meetings page <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67bHV7A…> gives access to archives of workshops held at previous CNS meetings. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Workshop Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Workshop duration* (half-day, one or two days, there are 2 sessions per day) * *Number of expected speakers* * *Brief Description* (~150 words; if possible, say why this is significant or timely) * *Speakers* (mark expected or confirmed) Also please note the following rules which were approved by the OCNS Board on July 15, 2013: * Each individual can be the organizer or co-organizer on only *one* workshop. * The number of confirmed speakers is *one of the criteria* for accepting the proposal. * Overlapping proposals may be asked to be combined. If the organizers do not wish to combine the proposals, only one of the proposals may be accepted. For information on available financial support for accepted workshops, please *see the sections "Registration" and "Travel Awards" below*. *DEADLINE*: Workshops submitted before *January 31, 2020*, will be given priority in acceptance. Workshop proposals arriving after January 31, 2020, will be evaluated based on remaining space for additional workshops. No further workshop acceptances will be anticipated after *May 15, 2020*. Please address any questions to *workshops AT cnsorg.org*. ------------------------------------------------------------------------ 2. TUTORIAL PROPOSAL SUBMISSION INSTRUCTIONS FOR CNS 2020, MELBOURNE Tutorials are intended as introductions into main methodologies of various fields in computational neuroscience. Tutorials are particularly tailored for early-stage researchers as well as researchers entering a new field in computational neuroscience. The tutorials are held on the first day,*18 July 2020*, with a typical total attendance of ca. 100 students allowing for four concurrent sessions during the day. Three different formats are available: * Introductory FULL DAY courses * Specialized HALF DAY tutorials * 30 MINUTES software showcase As approved by the OCNS Board on July 13, 2019, accepted tutorials are eligible to receive maximum one travel award and tutorial registration waivers for 1-3 organizers depending on the length of the tutorial. Software showcase sessions do not receive any funding, travel award, or free registration. Submit tutorial proposals to *tutorials AT cnsorg.org*. Please compare it with the previous year's tutorials <http://clicks.memberclicks-mail.net/wf/click?upn=l2WnPG7xcNg4BaXop0h67T8NXQ…>. Note that our new format, the showcases, will be combined to one continuous afternoon program. The proposal should be submitted as a Word or pdf file and MUST include the following sections: * *Tutorial Title* * *Organizers* (list primary organizer first; include affiliations and emails) * *Format* (full-day, half-day, showcase) * *Brief Description* (max. 300 words; include links to relevant software) *DEADLINE*: Tutorial proposals should be submitted before *January 31, 2020*. Please address any questions to *tutorials AT cnsorg.org.* ------------------------------------------------------------------------ *Registration*: Workshop/tutorial registration will occur through the OCNS registration website for CNS*2020. All workshop/tutorial participants, including speakers, must register. Each workshop/tutorial is eligible to receive workshop/tutorial registration waivers for 1-3 speakers/organizers (depending on the length of the workshop/tutorial). *Travel awards*: A limited number of Travel Awards will be available for workshop/tutorial organizers or speakers (maximum one Travel Award per workshop/tutorial). Priority will be given to postdocs and early career faculty. Travel Award amounts will be variable, depending on distance traveled. Please indicate which speaker or organizer you would like to be considered for this mechanism. The Travel Awards Chair reserves the right to approve / not approve a travel award nomination, based on seniority considerations with preference given to young scientists. It is likely that there will be fewer travel awards than workshops.

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CFP Special Session on "Neurocomputation and Cognition" WCCI-IJCNN 2020
by Alex Frid 05 Jan '20

05 Jan '20

*Special Session on "Neurocomputation and Cognition"* 2020 IEEE International Joint Conference on Neural Networks - World Congress on Computational Intelligence (IJCNN-WCCI) July 19-24 2020, Glasgow, UK *Important Dates:* Paper submission: 15 January 2020 Notification of acceptance: 15 March 2020 *Aims and Scope:* The field of neurocomputation is concerned with the possibility of computation in computers by following the paradigm and analysis of computation that occurs in neurons and the brain. In recent years this has resulted in breakthroughs in pattern recognition, machine learning theory, clustering, associative memory and fault tolerant computation. Consequently, the precision resulting from the computational and mathematical viewpoint has led to insights helping to clarify aspects of one of the ultimate human research endeavors: understanding the manner in which human thought emerges from the organization of the human brain. A session on this topic was presented in Rio de Janeiro IJCNN 2018 and was very successful. Extended papers developed from this session have been submitted to a special issue of the veteran journal Annals of Mathematics and Artificial Intelligence and this issue is scheduled to appear early in 2020. We will again look into the possibility of another special issue with an established veteran journal. *Topics:* The special session invites submissions in any of the following (and related) areas: - Neurocomputation techniques as related to human cognitive issues - Neurocomputational Models of Embodied Natural Language Processing - Understanding brain information processing underlying real-world tasks. - Validation of cognitive models using machine learning methods - Computational Biomarkers for Diseases - Computational Biomarkers for Cognitive Activity - Neurocomputational and Architectural Models of Creativity - Use of Neurocomputation and Machine Learning Tools to identify Physiological Features - Biologically Inspired Neural Computing - Analysis of Time Dependent Information in cognition *Submission:* https://ieee-cis.org/conferences/ijcnn2020/upload.php Under "Main research topic*" select “S51. Neurocomputation and Cognition” *More details at:* https://neurocomputation.wordpress.com/2020-ieee-wcci-special-session/ *Organizers:* Prof. Larry M. Manevitz – Director Neuro-computation Laboratory <https://neurocomputation.wordpress.com/>, Caesarea Rothschild Institute and Department of Computer Science, U. Haifa, Haifa, Israel and Department of Computer Science, Ariel University, Israel (corresponding organizer) manevitz(a)cs.haifa.ac.il Dr. Alex Frid – Laboratory of Clinical Neurophysiology, Rappaport Faculty of Medicine, The Technion (Israel Institute of Technology), Haifa, Israel, alex.frid(a)gmail.com Dr. Hananel Hazan – Levin Lab, Department of Biology <https://ase.tufts.edu/biology/labs/levin/>, Tufts University, Boston, USA, hananel(a)hazan.org.il, personal site <https://hananel.hazan.org.il/> Prof. Bernardete Ribeiro – Department of Computer Science, Coimbra University, Coimbra, Portugal, bribeiro(a)dei.uc.pt, personal site <https://eden.dei.uc.pt/~bribeiro/pagina/>

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Open PhD and PostDoc positions in Spiking Neural Network Learning
by Robert Legenstein 05 Jan '20

05 Jan '20

The Lab of Robert Legenstein at TU Graz is offering funded PhD and PostDoc positions in the area Deep Learning in Spiking Neural Networks for Neuromorphic and Memristive Hardware. A background in Deep Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. Successful candidates will work on learning algorithms for spiking neural networks in the interdisciplinary consortium of one of two projects: a) SYNCH (EU): We collaborate with Hardware experts who will implement the developed algorithms in cooperation with our team in a spiking neural network chip. The chip will be applied to various tasks within a brain-silicon hybrid system such as the classification of recorded brain network states. (see https://synch.eucoord2020.com/ for a description) b) SMALL (Chist-Era) We will develop learning algorithms for spiking neural networks and collaborate with experts for neuromorphic and memristive hardware with the goal to implement proof-of-concept ultra-low-power machine learning solutions. (see https://www.tugraz.at/institute/igi/people/prof-legenstein/projects/ for a brief description). Please send your application including a CV, any prior thesis and/or work by 31. Jan 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 http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John 04 Jan '20

04 Jan '20

*** APPLICATION DEADLINE EXTENDED TO JANUARY 15, 2020. *** Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2020. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a Curriculum Vitae, selected reprints, contact information for three references, and a statement of research interests including the laboratories of interest at Yale. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu> Applications will be reviewed as they are received, but priority will be given to those received on or before January 15th, 2020. For any questions, please contact John Murray<mailto:john.murray@yale.edu?subject=Swartz%20fellowship>. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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Postdoctoral position in computational neuroscience at Emory
by Prinz, Astrid A 03 Jan '20

03 Jan '20

Postdoctoral position in computational neuroscience Prinz lab, Department of Biology, Emory University, Atlanta AVAILABLE IMMEDIATELY. Applications will be accepted until the position is filled. We are looking for a highly motivated postdoctoral researcher to model sympathetic neurons and circuits and their plasticity and homeostasis in the context of spinal cord injury. The position is part of an NIH-funded, collaborative research project with the Hochman lab at Emory’s Department of Physiology. The Prinz lab is embedded in a highly interactive research environment of multiple computational and experimental neuroscience labs in the Department of Biology, at Emory University, and in the wider Atlanta area neuroscience community. The ideal candidate has a strong background in neuroscience and computer modeling. Experience with electrophysiology is desirable, although not required. The position is available immediately. Further information on the lab is located at http://www.biology.emory.edu/research/Prinz/index.html. To apply, please submit a CV, description of research interests, and contact information for two references to astrid.prinz(a)emory.edu<mailto:astrid.prinz@emory.edu> . Pre-application inquiries are also accepted at the same address. ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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CfP 29th International Conference on Artificial Neural Networks ICANN 2020, Sept 15-18, Bratislava, SK
by Paolo Masulli ENNS 03 Jan '20

03 Jan '20

29th International Conference on Artificial Neural Networks ICANN 2020 https://e-nns.org/icann2020 *Bratislava, Slovakia** **15 - 18 September 2020* ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2020 the Faculty of Mathematics, Physics and Informatics (FMPI), Comenius University in Bratislava, together with the Slovak Society for Cognitive Science, organize the 29th ICANN Conference from the 15th to the 18th of September 2020 in Bratislava, Slovakia. *CONFERENCE TOPICS* ICANN 2020 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. *CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS* All scientific communications presented at ICANN 2020 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: - oral communications (15'+5') - poster communications Call for Special Sessions: ICANN2020 organizers cordially invite internationally recognised experts to organise Special sessions and workshops within the general scope of the conference. Special Session Proposal request should be sent to icann2020(a)fmph.uniba.sk Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - A full paper of about 10-12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI. - An extended abstract of suggested 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, without indexing. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selection will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: https://e-nns.org/icann2020/ *IMPORTANT DATES* Deadline for special sessions submission: 1 February 2020 Opening of contribution submissions: 1 February 2020 *Deadline for full papers and extended abstracts submission: 15 March 2020* Notification of acceptance: 1 May 2020 Camera-ready paper upload and registration opening: 1 June 2020 Deadline for early registration at discount rate: 15 June 2020 Conference dates: 15-18 September 2020 *BEST PAPER AWARDS* ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awards will be presented during the final ceremony. *TRAVEL GRANTS* The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details will be provided on the conference website. *ORGANISATION* General Chairs: Igor Farkaš (FMPI, Comenius University in Bratislava, Slovakia) Ľubica Beňušková (FMPI, Comenius University in Bratislava, Slovakia) Organising Committee Chairs: Juraj Bánovský (FMPI, Comenius University in Bratislava, Slovakia), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chairs: Stefan Wermter, University in Hamburg, Germany (ENNS President) Věra Kůrková, Czech Academy of Sciences, Prague, Czechia (past ENNS President) Publicity Chair: Kristína Malinovská (FMPI, Comenius University in Bratislava, Slovakia) Communication Chair: Paolo Masulli (Technical University of Denmark, ENNS) -- Paolo Masulli ENNS

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[CFP] Call for Abstracts: Symposium on Advances in Neural Modelling of Multisensory Integration at the 20th International Multisensory Research Forum (IMRF) in Ulm, Germany, June 22-25, 2020
by Danish Shaikh 03 Jan '20

03 Jan '20

Dear colleagues, Happy New Year to you all! I am planning to organise a symposium on "Advances in Neural Modelling of Multisensory Integration" at the 20th International Multisensory Research Forum (https://cops.ifp.uni-ulm.de/imrf2020/index.php) hosted by Ulm University in Germany, June 22-25, 2020. The goal of this symposium to bring together researchers working on neural models of multisensory integration (MSI) via mathematical/computational/machine learning/AI approaches to present their work and to discuss promising future directions and applications. In this regard, I would like to request potential contributors to contact me at danish(a)mmmi.sdu.dk<mailto:danish@mmmi.sdu.dk> with a title and abstract (max. 250 words), latest by 19 January 2020. The symposium will allow for the presentation of abstracts as a 15-minute oral presentation with additional time for Q&A. Potential topics for abstract submissions to the symposium include (but are not limited to): * Mathematical/computational/machine learning/connectionist/AI approaches to modelling MSI * Single-neuron and/or network models of neural mechanisms underlying multisensory binding, cue combination, multisensory effects and developmental MSI * Neural plasticity, learning and memory models for MSI * Applications of MSI models IMPORTANT DATES: Title and abstract submission deadline: 19 January 2020 (Anywhere on Earth time - https://time.is/Anywhere_on_Earth) Notification of acceptance: TBA IMRF 2020 conference dates: 22-25 June 2020 IMRF 2020 VENUE: "Donauhalle" next to the Danube river in beautiful Ulm, Germany SYMPOSIUM ORGANISERS: Danish Shaikh, University of Southern Denmark (danish(a)mmmi.sdu.dk<mailto:danish@mmmi.sdu.dk>) Best regards Danish Shaikh Assistant Professor SDU Bioinspired Robotics, The Maersk Mc-Kinney Moller Institute T +45 65 50 95 26 <tel:+4565509526> danish(a)mmmi.sdu.dk <mailto:danish@mmmi.sdu.dk> University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk <http://www.sdu.dk> [http://cdn.sdu.dk/img/sdulogos/SDU_BLACK_signatur.png]

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Job Opening: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU 02 Jan '20

02 Jan '20

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (PR0311/18-19) * The appointees will perform high-impact research; to teach and manage programmes at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and/or outside the Department to contribute to interdisciplinary research projects under our University’s Research Cluster on Data Analytics and A.I. in X. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department’s key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Special consideration will be given to candidates with research background related to financial technologies, and secure and privacy-aware computing. Initial appointment will be made on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. Those who have responded to the advertisement posted in March 2019 need not re-apply. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure*: Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. Applicants should also request two referees to send in confidential letters of reference, with PR number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Closing Date: *25 January 2020 (or until the positions are filled)* URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE IN BASEL, SWITZERLAND
by Rava A. da Silveira 29 Dec '19

29 Dec '19

*Several DOCTORAL and POSTDOCTORAL openings in the lab of RAVA AZEREDO DA SILVEIRA at the IOB, University of Basel* We invite applications for several Ph.D. and postdoctoral positions at the IOB, University of Basel, in Switzerland. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. Doctoral and postdoctoral salaries will be highly competitive. *Deadline* For full consideration, please apply by 30 January 2020. *How to apply* Please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava(a)iob.ch, and arrange for three letters of recommendations to be sent to the same address. In all email correspondence, please include the mention “APPLICATION-BASEL-PHD” or “APPLICATION-BASEL-POSTDOC” in the subject header, otherwise the application will not be considered. *Description of the lab’s activity* Rava Azeredo da Silveira’s lab focuses on a range of topics in theoretical and computational neuroscience and cognitive science. These topics, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic -- rather than mechanistic -- point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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PhD AND POSTDOC POSITIONS IN COMPUTATIONAL NEUROSCIENCE AT ENS, PARIS
by Rava A. da Silveira 29 Dec '19

29 Dec '19

*Several DOCTORAL and POSTDOCTORAL openings in the lab of RAVA AZEREDO DA SILVEIRA at the Ecole Normale Supérieure, Paris* We invite applications for several Ph.D. and postdoctoral positions at the Ecole Normale Supérieure, in Paris. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. Doctoral and postdoctoral salaries will be competitive, appreciably higher than standard French salaries. The ENS, together with a number of neighboring institutions (College de France, Institut Curie, ESPCI, Sorbonne Université, and Institut Pasteur), offers a rich scientific and intellectual environment, with a strong representation in computational neuroscience and related fields. *Deadline:* For full consideration, please apply by 30 January 2020. *How to apply:* Please send a letter of motivation, a statement of research interests limited to two pages, a curriculum vitae including a list of publications, and any relevant publications to rava(a)ens.fr, and arrange for three letters of recommendations to be sent to the same address. In all email correspondence, please include the mention “APPLICATION-PARIS-PHD” or “APPLICATION-PARIS-POSTDOC” in the subject header, otherwise the application will not be considered. *Description of the lab’s activity:* Rava Azeredo da Silveira’s lab focuses on a range of topics in theoretical and computational neuroscience and cognitive science. These topics, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic -- rather than mechanistic -- point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

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Postdoctoral Positions in Theoretical Neuroscience @ Higher School of Economics, Moscow Russia
by boris gutkin 28 Dec '19

28 Dec '19

Post-doctoral position in Theoretical Neuroscience DEADLINE 9 February More Information: https://iri.hse.ru/cognitive_neuroscience3 <https://iri.hse.ru/cognitive_neuroscience3> Application link: https://iri.hse.ru/polls/323647081.html The Higher School of Economics Centre for Cognition & Decision Making <https://www.hse.ru/en/cdm-centre/> of the Institute of Cognitive Neuroscience in Moscow, Russia, invites applications for postdoctoral research positions in computational and mathematical approaches to understanding neural function and cognition at Theoretical Neuroscience Group (TNG). Research interests of the TNG at the Centre for Cognition and Decision Making are wide ranging, carried out in collaboration with the experimental labs at the Center. Current research topics include computational psychiatry, computational neuroeconomics, information processing in neurons and circuits, as well as role of oscillations in cognition. The candidate will have the opportunity to further define and expand the Group’s research programme. We are seeking highly qualified and motivated candidate with backgrounds in quantitative disciplines: applied mathematics, physics, computer science or engineering. Knowledge of biology, neuroscience and ability to work with data is highly desired. Candidates will be trained in model building, analysis and will be offered advanced training in neuroscience and cognitive psychology. Candidates will have an opportunity to develop independent research projects and collaborations under the direction of the group leading scientists. The TNG is a structural part of the HSE’s Centre for Cognition & Decision Making <https://www.hse.ru/en/cdm-centre/> with ample collaboration opportunities within the Centre with other research groups, both within Russia and internationally. This new international group is tightly linked with the Group for Neural Theory at the Ecole Normale Superior <http://iec-lnc.ens.fr/group-for-neural-theory/?lang=en> in Paris, where research internships and visiting positions can be made available. Application Process Applications must be submitted online. Please provide a CV, a statement of research interest and a recent research paper submitted via an online application form. At least two letters of recommendation should be sent directly to the International Faculty Recruitment Office at fellowship(a)hse.ru <mailto:fellowship@hse.ru> before the application deadline. Please note that direct applications to the hiring department may not be reviewed. More information can be also obtained from boris.gutkin(a)hse.ru

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COSYNE 2020: Registration; Travel grants; Cosyne Tutorials
by Tomas Hromadka 28 Dec '19

28 Dec '19

==================================================== Computational and Systems Neuroscience 2020 (Cosyne) MAIN MEETING 27 February - 01 March 2020 Denver, Colorado WORKSHOPS 02 March - 03 March 2020 Breckenridge, Colorado www.cosyne.org ==================================================== IMPORTANT DATES Online registration is now open. Travel grant submission is now open. Travel grant application deadlines *31 December 2019, 11.59PM PST (Undergraduate Travel Grant)* 14 January 2020, 11.59PM PST (Other travel grants) ----------------------------------------------- TRAVEL GRANTS ----------------------------------------------- Applications are now open for travel grants to attend the conference. Each awardee will receive at least $500 to help offset the costs of travel, registration, and accommodations. Larger grants may be available to those traveling from outside North America. Special consideration is given to scientists who have not previously attended the meeting, under-represented minorities, students who are attending the meeting together with a mentor, undergraduate students, and authors of submitted Cosyne abstracts. We currently offer five travel grant programs for New Attendees, Presenters, Mentors, Undergraduates, and Childcare travel grants. For details on applying, see Cosyne.org -> Travel grants. ---------------------------------------------------- COSYNE TUTORIALS ---------------------------------------------------- Cosyne 2019 will host two tutorial sessions on 27 February 2020. For details on Cosyne tutorials please visit Cosyne.org -> Tutorials 20. Tutorial 1: Cosyne 2020 Tutorial session sponsored by the Simons Foundation Topic: Normative approaches to understanding neural coding and behavior Speaker: Ann Hermundstad Ann Hermundstad is a Group Leader in the Computation & Theory research core at Janelia Research Campus. She studies how the brain creates and uses adaptive sensorimotor representations to generate flexible behavior. Her lab uses a combination of theory, modeling, and data analysis to explore how neural circuits can do this efficiently and flexibly, and works in close collaboration with experimentalists to test these ideas in biological systems. We are recruiting TAs for the tutorial session. If interested, please see Cosyne.org -> Tutorials 20 for details on how to apply. Tutorial 2 Topic: Neurodata without Borders Tutorial NWB is a data standard for neurophysiology, providing neuroscientists with a common standard to share, archive, use, and build common analysis tools for neurophysiology data. Navigating the Allen Brain Observatory ---------------------------------------------------- BRIDGE TO INDEPENDENCE AWARD ---------------------------------------------------- The Simons Foundation Autism Research Initiative (SFARI) is invested in supporting the next generation of top autism researchers. The Bridge to Independence grant program promotes talented early-career scientists by facilitating their transition to research independence and providing grant funding at the start of their professorships (https://www.sfari.org/2018/06/15/bridge-to-independence-award-request-for-a…) ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural basis of behavior, sensory and motor systems, circuitry, learning, neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. COSYNE INVITED SPEAKERS Matthew Botvinick (Deepmind/Princeton) Megan Carey (Champalimaud) John Cunningham (Columbia) Gul Dolen (Hopkins) Rainer Friedrich (FMI Basel) Sam Gershman (Harvard) Lisa Giocomo (Stanford) Christopher Harvey (Harvard) Mehrdad Jazayeri (MIT) Wei Ji Ma (NYU) Hendrikje Nienborg (Tuebingen/NIH) Linda Wilbrecht (Berkeley) Marta Zlatic (Janelia) ORGANIZING COMMITTEE General Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Program Chairs: Anne-Marie Oswald (U Pittsburgh) and Srdjan Ostojic (Ecole Normale Superieure Paris) Workshop Chairs: Catherine Hartley (NYU) and Blake Richards (McGill) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Diversity Chairs: Eva Dyer (Georgia Tech, Emory) and Eric Shea-Brown (U Washington) Publicity Chair: Adam Calhoun (Princeton) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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PhD Studentship in Neural Data Science, Computational Neuromodulation and Metalearning
by Wong-Lin, Kongfatt 27 Dec '19

27 Dec '19

Applications are invited for a Ph.D. studentship in Neural Data Science, Computational Neuromodulation and Metalearning, tenable in the Faculty of Computing, Engineering and the Built Environment at Ulster University, UK. This PhD project is a collaboration between Ulster University and the University of Oxford (amongst other collaborators) on the computational modelling and theoretical development of neuromodulation in decision-making and learning. For more information, please refer to: https://www.ulster.ac.uk/doctoralcollege/find-a-phd/512105 The application process for the Ph.D. studentship is opened with a closing date for applications on the 7th February 2020. The computational and cognitive neuroscience research community at the Intelligent Systems Research Centre at Ulster University focuses on both fundamental brain and behavioural sciences, and their applications, including neuro-inspired AI, neural engineering and neurotechnology, and clinical neuroscience. The successful PhD candidate will be based at the Research Centre while interacting closely with collaborators at the University of Oxford and other international research institutes. If you wish to discuss your application or enquire more about this Ph.D. studentship, please contact: Dr. KongFatt Wong-Lin (k.wong-lin(a)ulster.ac.uk<mailto:k.wong-lin@ulster.ac.uk>). ------------------- Dr. KongFatt Wong-Lin Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems Faculty of Computing, Engineering and the Built Environment Ulster University Magee Campus UK https://www.ulster.ac.uk/staff/k-wong-lin This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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Announcing Okinawa/OIST Computational Neuroscience Course 2020
by Erik De Schutter 23 Dec '19

23 Dec '19

OKINAWA/OIST COMPUTATIONAL NEUROSCIENCE COURSE 2020 Methods, Neurons, Networks and Behaviors June 29 to July 16, 2020 Okinawa Institute of Science and Technology Graduate University, Japan https://groups.oist.jp/ocnc The aim of the Okinawa/OIST Computational Neuroscience Course is to provide opportunities for young researchers with theoretical backgrounds to learn the latest advances in neuroscience, and for those with experimental backgrounds to have hands-on experience in computational modeling. We invite graduate students and postgraduate researchers to participate in the course, held from June 29th through July 16th, 2020 at an oceanfront seminar house of the Okinawa Institute of Science and Technology Graduate University. Applications are through the course web page (https://groups.oist.jp/ocnc) only; January 1 - February 2, 2020. Applicants will receive confirmation of acceptance in March. Like in preceding years, the 17th OCNC will be a comprehensive three-week course covering single neurons, networks, and behaviors with ample time for student projects. The first week will focus exclusively on methods with hands-on tutorials during the afternoons, while the second and third weeks will have lectures by international experts. The course has a strong hands-on component based on student proposed modeling or data analysis projects, which are further refined with the help of a dedicated tutor. Applicants are required to propose their project at the time of application. There is no tuition fee. The sponsor will provide lodging and meals during the course and provides partial travel support. We hope that this course will be a good opportunity for theoretical and experimental neuroscientists to meet each other and to explore the attractive nature and culture of Okinawa, the southernmost island prefecture of Japan. Invited faculty: • Michael Berry II (Princeton University, USA) • Tiago Branco (Sainsbury Wellcome Centre, London, UK) • Zenas C Chao (University of Kyoto, Japan) • Erik De Schutter (OIST) • Kenji Doya (OIST) • Gaute Einevoll (Norwegian University of Life Sciences, Norway) • Tomoki Fukai (OIST) • Boris Gutkin (Ecole Normale Supérieure, Paris, France) • Bernd Kuhn (OIST) • Devika Narain (Erasmus Medical Center, Rotterdam, Netherlands) • Alex Pouget (University of Geneva, Switzerland) • Ivan Soltesz (Stanford University, USA) • Saori C. Tanaka (ATR, Japan) • Tatjana Tchumatchenko (Max Planck Institute for Brain Research, Frankfur, Germany) • Marylka Yoe Uusisaari (OIST)

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NeuroBridges 2020 Summer School Announcement
by Ahmed El Hady 23 Dec '19

23 Dec '19

*/NeuroBridges 2020 Summer school , Cluny, France/* */( September 6th - September 17th, 2020)/* */ /* I would like to bring to your attention the NeuroBridges 2020 Summer School <http://decision-making-lab.com/NeuroBridges/neurobridges2020.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2020.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. This year the school will primarily focus on the neural basis and computational principles underlying decision making. *The forthcoming NeuroBridges 2020*will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 6 and September 17, 2020* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2020. *2020 Faculty:* Carlos Brody (Princeton) <https://pni.princeton.edu/faculty/carlos-brody> Ahmed El Hady (Princeton) <http://scholar.princeton.edu/ahmedelhady/home> David Hansel (CNRS) <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> Ifat Levy (Yale) <https://medicine.yale.edu/profile/ifat_levy> Yonatan Loewenstein (Hebrew U.) <https://elsc.huji.ac.il/faculty-staff/yonatan-loewenstein> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> Mike Shadlen (Columbia U.) <https://neuroscience.columbia.edu/profile/michaelshadlen> Eyal Winter (Hebrew U.) <http://www.ma.huji.ac.il/%7Emseyal/> Yoram Yovell (Hadassah Hebrew U. Medical Center) <http://yovell.co.il/en/> The deadline for application is *April 1st, 2020 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2020.html <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> For more information, please contact neurobridges2020(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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Call for Papers: Workshop on Machine Learning and Computational Intelligence in multi-omics and medical image analysis, 5-7 June, Greece
by Tiago Azevedo 22 Dec '19

22 Dec '19

Dear all, Below find the call for papers for the workshop "Machine Learning and Computational Intelligence in multi-omics and medical image analysis (MALCI_MUOMI 2020)". It will be held during the 2020 AIAI conference, collocated with EANN 2020, the 21st International Conference on engineering Applications of Neural Networks. This will be held 5-7 June 2020, Porto Carras Grand Resort, Halkidiki Greece. **Important Dates** Paper Submission Deadline: 29th of February 2020 Notification of Acceptance/Rejection: 22nd of March 2020 Camera Ready Submission/Registration: 2nd of April 2020 Early / Author registration by: 2nd of April 2020 Conference Dates: 5-7 June, 2020 **Link for submissions** http://www.aiai2020.eu/malci_muomi2020/#submission **Aim and scope** There is an increasing need for the application of Machine Learning (ML) and Computational Intelligence (CI) techniques, which can effectively perform image processing operations (such as segmentation, co-registration, classification, and dimensionality reduction), in the fields of neuroimaging and oncological imaging. Although the manual approach often remains the golden standard in some tasks (e.g., segmentation), ML can be exploited to automate and facilitate the work of researchers and clinicians. Frequently used techniques include Support Vector Machines (SVMs) for classification problems, graph-based methods, and Artificial Neural Networks (ANNs). More recently, deep ANNs have shown to be very successful in computer vision tasks owing to the ability to automatically extract hierarchical descriptive features from input images. It has also been used in the oncological and neuroimaging domains for automatic disease diagnosis, tissue segmentation, and even synthetic image generation. The main issue, however, remains the relative sample paucity of the typical imaging datasets that leads to a poor generalisation of the employed deep ANNs, considering the high number of required parameters. Consequently, parameter-efficient design paradigms, specifically tailored to medical applications, ought to be devised, also by exploiting CI-based techniques (e.g., neuroevolution). In this context, these advanced ML techniques can be suitably exploited to combine heterogeneous sources of information, allowing for multi-omics data integration. Such a kind of analyses may represent a significant step towards personalised medicine. Topics of interest include but are not limited to: · ML techniques for segmentation, co-registration, classification, or dimensionality reduction of medical images · Deep neural networks for medical image super-resolution, de-noising and synthesis · Deep Learning for neuroimaging and oncological imaging analysis · Integration of multi-omics data · Brain network analysis · Application of graph theory to MRI and functional MRI (fMRI) data · Application of ML methods for neurodegenerative disease studies · Computational modelling and analysis of neuroimaging · Methods of analysis for structural or functional connectivity · Development of new neuroimaging tools · Radiomic analyses for tumour phenotypes · Radiogenomics for intra- and inter-tumoural heterogeneity evaluation · Generative adversarial models for data augmentation and image super-resolution · CI methods for optimizing medical image analysis tasks **Workshop Organizing Committee** Tiago Azevedo – Department of Computer Science and Technology , University of Cambridge, Cambridge, (UK) Giovanna Maria Dimitri – Department of Computer Science and Technology , University of Cambridge, Cambridge (UK), Department of Medicine, University of Siena (Italy) Prof Pietro Liò – Department of Computer Science and Technology , University of Cambridge, Cambridge, (UK) Dr Leonardo Rundo – Department of Radiology, University of Cambridge, Cambridge (UK ) Simeon Spasov – Department of Computer Science and Technology , University of Cambridge, Cambridge (UK) Dr Andrea Tangherloni – Department of Haematology, University of Cambridge, Cambridge, (UK) Jin Zhu – Department of Computer Science and Technology , University of Cambridge, Cambridge, UK

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Carnegie Mellon - University of Pittsburgh Joint Summer Undergraduate Program in Computational Neuroscience
by Tai Sing Lee 21 Dec '19

21 Dec '19

Please encourage computationally-oriented undergraduates to apply to the Summer 2020 undergraduate program in computational neuroscience (uPNC) in Pittsburgh! Undergraduates interested in receiving research training in computational neuroscience are encouraged to apply to an NIH-sponsored summer program at the Center for the Neural Basis of Cognition (CNBC) in Pittsburgh, PA. The CNBC is a joint interdisciplinary program of Carnegie Mellon University and the University of Pittsburgh. Starting in late May or early June each year, a select group of talented undergraduates will embark on a 10-week residential program that provides intensive, mentored research experiences in computational and theoretical neuroscience. Admitted students will receive a stipend and university dormitory housing. The core of the program is the opportunity to carry out an individual mentored research project working closely with a faculty mentor. Other aspects of the scientific program include faculty research talks, student presentations and discussion of articles from the scientific literature, presentations on career options and scientific ethics, and a concluding symposium in which students present their research. This program is intended for students who wish to pursue a Ph.D. after graduation. Any undergraduate may apply, but we are especially interested in attracting students with strong quantitative backgrounds. Many of our trainees are from colleges and universities that do not have extensive research programs, but all must be United States citizens or permanent residents, must be enrolled at a 4-year accredited institution, and must be in their sophomore or junior year at the time of application. CNBC is dedicated to creating an inclusive and welcoming environment for all students and we encourage applications from women, under-represented minorities, and individuals with disabilities. Additional information and the application can be found here <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>. A showcase of past years’ undergraduate research and program schedules is available: summer uPNC 2019 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>, summer uPNC 2018 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…>, summer uPNC 2017 <http://www.cnbc.cmu.edu/training/undergraduate/summer-undergraduate-researc…> mentored research is also available. Please contact Dr. Linda Moya (lhmoya(a)cmu.edu <mailto:lhmoya@cmu.edu>) for further questions.

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PhD fellowship in joint processing of audio and EEG signals
by Kaare Mikkelsen 20 Dec '19

20 Dec '19

Applications are invited for a PhD fellowship within Deep learning for joint processing of audio and EEG signals. The aim of the project is to develop algorithms for enhancing hearing aid performance through integration with ear-EEG. The project will investigate deep neural networks for joint processing of brain and audio signals. Read more at: https://eng.au.dk/fileadmin/DJF/ENG/Billeder/ECE/CenterforEarEEG/PhDPositio… <https://eng.au.dk/forskning/forskningsprogrammer-og-centre/center-for-ear-e…> -------------------------------------------------------------------- Kaare Mikkelsen, PhD Phys. Department of Engineering Aarhus University --------------------------------------------------------------------

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AREADNE 2020 1st Call for Abstracts
by John Pezaris 19 Dec '19

19 Dec '19

AREADNE 2020 Research in Encoding and Decoding of Neural Ensembles Nomikos Conference Centre, Santorini, Greece 16-20 June 2020 http://areadne.org info(a)areadne.org Dear Colleague, We are pleased to announce solicitation of abstracts for poster presentation at AREADNE 2020, 16-20 June 2020, our eighth meeting to be held at the Nomikos Conference Centre in Santorini, Greece. Continuing with the same highly successful format, AREADNE 2020 will bring scientific leaders from around the world to present their theoretical and experimental work on the functioning of neuronal ensembles. The meeting will provide an informal yet spectacular setting in which attendees can discuss their recent ideas and discoveries, with a relaxed pace that emphasizes interaction. Please see the Call for Abstracts for additional details, including links for templates, at http://areadne.org/call-for-abstracts Submissions of abstracts for poster presentations are due by 24 Jan 2020; notifications will be provided by 21 Feb 2020. We strongly encourage potential attendees to submit an abstract as presenters have registration priority. For information about the conference, please refer to the main web page http://areadne.org or send email to us at info(a)areadne.org . We hope to see you at AREADNE 2020, Nicholas Hatsopoulos & John Pezaris AREADNE 2020 Co-Chairs --- John S. Pezaris, Ph.D. AREADNE 2020 Co-Chair Harvard Medical School Massachusetts General Hospital 55 Fruit Street Boston, MA 02114, USA john(a)areadne.org

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PhD position in mouse/monkey electrophysiology at Ernst Strungmann Institute (Frankfurt, Germany)
by Scholvinck, Marieke 19 Dec '19

19 Dec '19

We are hiring! We are looking for an enthusiastic Ph.D. candidate to join our team in the Zero-Noise Lab at the Ernst Strüngmann Institute for Neuroscience in Frankfurt, Germany. The position The Zero-Noise Lab investigates how neuronal activity unfolds during natural behaviour rather than in the restricted conditions of most laboratory experiments, and how this compares between mouse and monkey. To this end, we implant electrodes to record neuronal activity in multiple visual brain areas as our animals move through a realistic virtual reality environment in search of virtual rewards. More information about the lab can be found at https://www.esi-frankfurt.de/research/havenith-scholvinck-lab/. The lab is jointly headed by Marieke Schölvinck and Martha Nari Havenith. Postdocs and Ph.D. students focus on either mice or monkeys, but intensely work together to ensure that we constantly learn from each other's experiments. This means that as a Ph.D. student you will work together closely with a postdoc to set up and run the experiments. Ideally, we would like you to start in spring 2020, but later would also work. We are most urgently looking for a Ph.D. student for the monkey experiments. The appointment is for three years initially, with the possibility of extension by another two years; the salary is in accordance with the regulations for academic personnel. You If you (are about to) hold an M.Sc. or equivalent, and are excited to work in an interdisciplinary lab with multiple model species, we would love to hear from you! Additional skills that are not a must, but would be very valuable: - programming skills (Matlab and/or Python) - experience with training animals - experience with electrophysiology How to apply If you're interested, please send an email to Marieke (marieke.scholvinck(a)esi-frankfurt.de<mailto:marieke.scholvinck@esi-frankfurt.de>) and Martha (marthanari.havenith(a)gmail.com<mailto:marthanarihavenith@gmail.com>) before February 15, 2020. In your email, please explain your background and why you want to join us in Frankfurt. The application remains open until the position is filled. We look forward to hearing from you! Martha and Marieke

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4th Meeting of the French BCI Society in Autrans, May 11-13 2020
by Blaise Yvert 17 Dec '19

17 Dec '19

Dear colleagues, We are pleased to announce that the 4th CORTICO days will take place in Autrans (near Grenoble, in France) from May 11-13, 2020. This year, they will be dedicated to: *" Invasive and non invasive brain-computer interfaces - A handshake over the cliff "* The conference website in now online, HERE <https://corticodays.sciencesconf.org/>. You are already invited to register and submit abstracts, knowing that the space of the conference center is limited. Looking forward welcoming you in Autrans, Blaise Yvert, for the conference organizing committee -- Blaise Yvert, PhD. Inserm Research Director Team Neurotechnology and Network Dynamics BrainTech Laboratory U1205 Inserm and Univ Grenoble Alpes UFR Chimie Biologie Bâtiment Biologie B 3e étage 2280 rue de la piscine 38400 Saint Martin d'Hères France Tel (admin). +33 4 56 52 03 73 Tel (direct). +33 4 56 52 03 74 Tel (lab). +33 4 56 52 03 81 Tel (mobile). +33 6 32 88 75 90 https://sites.google.com/view/blaise-yvert/accueil http://www.braincom-project.eu/

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Joint faculty position at NYU: Data Science and Neural Science
by Eero P Simoncelli 16 Dec '19

16 Dec '19

Dear Colleagues, The Center for Neural Science (CNS) and the Center for Data Science (CDS) at New York University invite applications for an open rank joint faculty position, anticipated to begin September 2020. Appointments may be made at either junior or senior level. We seek exceptional candidates that can carry out research programs aimed at quantitative analysis and modeling of neural data, and developing related data science tools and methods, leveraging existing strengths of CNS and CDS. We are particularly interested in scholars with cross-disciplinary research interests that complement those of our existing faculty. The successful candidate will be a faculty member in both units, with teaching, service, and other professional duties split between them. Applications and supporting documents received by 31 December 2019 will receive full consideration. Further information about CNS and CDS, and the University: * http://www.cns.nyu.edu/ * https://cds.nyu.edu/ To apply: * https://apply.interfolio.com/70431 Best, Eero Simoncelli New York University

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Fully funded PhD position at the IIT - neural coding - open now
by Stefano Panzeri 16 Dec '19

16 Dec '19

Fully funded PhD Position at IIT - Computational approaches to study the neural code for somatosensation. I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s in my lab ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with SISSA and finances the positions at the PhD course at SISSA from the EU Marie Curie Training Network Neutouch (www.neutouch.eu) Although formally to be enrolled at SISSA, the successful candidate will conduct research in my laboratory at the IIT headquarters in Genova, Italy. The PhD project can focus on any of the research topics about somatosensory neural information processing that are of interest to the candidate, to my lab and to the Training Network (www.neutouch.eu) including: developing mathematical analysis methods and neural network models for studying neural population coding of somatosensory signals, for studying the neural bases of sensory perception and decision making, and for designing somatosensory neuro-inspired artificial sensors. The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is required. However, a keen interest in understanding the brain is essential. The position is open immediately and will close when a suitable candidate is found. Interested candidates are invited to contact me informally by email (stefano.panzeri(a)iit.it) as soon as possible, by attaching their CV and briefly explaining their interest in this position, to initiate discussions about potential PhD projects of interest. For recent representative publications from my lab, please see: van Vugt B, et al, (2018) *Science* 360, 537-542 Zaldivar, D., et al, (2018) *Current Biology* 28: 224-235 Runyan C. A., et al (2017) *Nature*: 548: 92-96 Pica G. et al, *NIPS* (2017) Panzeri, S, et al (2017) *Neuron* 93: 491-507 Safaai, H. et al (2015) *Proc. Natl. Acad. Sci. USA* 112(41): 12834–12839 Fasoli, D. et al (2016) *PLoS Computational Biology*, 12(8): e1004992. Panzeri, S., et al (2015) *Trends in Cognitive Sciences* 19: 162-172 Einevoll, G., et al (2013) *Nature Reviews Neuroscience*, 14, 770-785 Yours truly, Stefano Panzeri stefano.panzeri(a)iit.it

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Reminder: Special Entropy Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 16 Dec '19

16 Dec '19

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 2.419, 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 31 January 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. Fortunately, it is noticed that your institute have already had a central open access fund established in MDPI's Institutional Open Access Program, it means you do not have to pay the publication fees and your institute will cover it for you if you submit your papers to MDPI journals (see details at: <http://www.mdpi.com/about/ioap><http://www.mdpi.com/about/ioap>). You may contact your library and confirm this. 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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PhD position in Bern
by Jean-Pascal Pfister 16 Dec '19

16 Dec '19

The Department of Physiology at the University of Bern is opening a PhD position in computational neuroscience at the interface with experimental neuroscience. The cerebral cortex endows us with the ability to perform complex cognitive and emotional processes supporting adaptive behavior. The hippocampus is a high-order cortical area instrumental for cognition and emotions. The PhD project will focus on discovering selective computations related to spatial navigation and emotional states using hippocampal neural recordings in behaving rodents. It will further develop predictive models for animal position taking into account uncertainty of hidden states such as emotions. The specificity of the project is the close interactions between theory and experiments. The candidate will have access to experimental data acquired within the research group of Stéphane Ciocchi and the supervision will be shared with Jean-Pascal Pfister of the Theoretical Neuroscience Group. The candidate should hold a Master degree in Physics, Mathematics, Biology, Neuroscience, Computational Neuroscience or a related field. She/he should have keen interests in close interactions between theory and experiments. Interested candidates can send their application and inquiries via email to pfister(a)pyl.unibe.ch <mailto:pfister@pyl.unibe.ch>, ciocchi(a)pyl.unibe.ch <mailto:ciocchi@pyl.unibe.ch> The application should include the following in one pdf document: letter of motivation, CV, contact details of 2 references. The position is funded for a duration of three years. The PhD position shall start early in 2020. Deadline for application is the 31st of January 2020 or until the position is filled. References: Ciocchi, S., Passecker, J., Malagon-Vina, H., Mikus, N., Klausberger, T. Selective information routing by ventral hippocampal CA1 projection neurons. Science (2015). Nonlinear Bayesian filtering and learning: a neuronal dynamics for perception. Kutschireiter A, Surace SC, Sprekeler H, Pfister JP. Sci Rep (2017). --------------------------------- Prof. Jean-Pascal Pfister Theoretical Neuroscience Group Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190 8057 Zurich, Switzerland and Department of Physiology University of Bern Bühlplatz 5 3012 Bern, Switzerland www.ini.uzh.ch/~jpfister Tel: ++ 41 31 631 87 78

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Stellenanzeige
by Obermayer, Klaus, Prof. Dr. 16 Dec '19

16 Dec '19

Dear moderator, can you post our job announcement (see below) on the neuroinformatics mailing list? Thank you very much! Best regards Klaus Obermayer ---------------------------------------------------------------------------------------------------------------------------------------- Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Brain network models: Dynamics and Control Salary grade E13 (TV-L Berliner Hochschulen) Duration: 34 months Starting date: March 1st, 2020 Working field: The successful candidate is supposed to work on the analysis and simulation of calibrated whole-brain networks using neuronal mass models and on the design and evaluation of novel control schemes for the stabilization of and the switching between dynamical states. She/he will be part of the Collaborative Research Center "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application" (https://www.itp.tu-berlin.de/sfb910/ sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) The candidate is also expected to interact with clinical scientists who are interested in the non-invasive manipulation of the whole-brain dynamics using transcranial current stimulation. Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Electrical Engineering, Mathematics, Physics, or related fields; in-depth knowledge in dynamical systems, knowledge in the area of control of non-linear dynamical systems is desirable; very good programming and English language skills. How to apply: Please send your application with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin, Germany, or - preferably - by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/ Please send copies only. Original documents will not be returned. Aplication deadline for full consideration: 31. 1. 2020 Applications, however, will be accepted until the position is filled.

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2 postdoctoral positions at the Learning and Cognitive Control Lab, Ghent University, Belgium
by Clay Holroyd 14 Dec '19

14 Dec '19

The Learning and Cognitive Control Lab at Ghent University (Belgium) is recruiting two postdoctoral fellows. The positions are funded by a European Research Council Advanced Grant, “Cracking the Anterior Cingulate Cortex Code: Toward a Unified Theory of ACC Function” ( https://cordis.europa.eu/project/rcn/216511/factsheet/en ; for an example of our approach, please see doi 10.1073/pnas.1803650115 ). The positions are for two years with an opportunity to renew and are available to start immediately. Applications will be accepted until the positions are filled. Position 1: The successful candidate will work on the development of a hierarchical recurrent neural network model of anterior cingulate cortex. A Ph.D. and a background in computational cognitive neuroscience, broadly defined, are required. The applicant must have experience with neural network modeling. Position 2: The successful candidate will conduct functional magnetic resonance imaging experiments following a model-based cognitive neuroscience approach. A Ph.D. and a background in psychology, cognitive neuroscience, or a closely related discipline are required. Prior fMRI training as well as good programming skills (e.g., Python, Matlab) are required. Interested candidates should email their CV, a statement of research interests, and have three letters of reference forwarded to Clay Holroyd at clay.holroyd(a)ugent.be. Inquiries may be directed to him at that email address.

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Post-doctoral fellowships and faculty positions for Women in the faculty of engineering from Univ. de Sherbrooke, Québec, Canada
by Jean Rouat 13 Dec '19

13 Dec '19

Dear all, Please can you circulate? - The Faculty of Engineering at Université de Sherbrooke is launching a competition that fits perfectly with its bold and creative mission. Female doctoral candidates and young doctoral graduates can now participate in the Claire-Deschênes Postdoctoral Fellowship Competition. - The goal of the Claire-Deschênes Postdoctoral Fellowship Competition is to promote postdoctoral training for women who will also be offered a professorship position in engineering at Université de Sherbrooke. - Submit your application and you could get one of eight postdoctoral fellowships ($ 40,000/year, up to 2 years) each attached to a professorship at the Université de Sherbrooke. - For more information follow these links: English: https://www.usherbrooke.ca/promo/genie/claire-deschenes-en/ Français: https://www.usherbrooke.ca/promo/genie/claire-deschenes/ All the best Jean Jean Rouat, Prof., coord. IGLU, http://iglu-chistera.github.io Université de Sherbrooke Member of the centre for Interdisciplinary research Professeur titulaire, in Music Media and Technology NECOTIS: Computational Neurosciences McGill Schulich School of Music and Intelligent Signal Processing 527 Sherbrooke St. West Faculté de génie, GEGI, C1-3108 Montreal, Qc, 2500 boul. de l'université Canada, H3A 1E3 Sherbrooke, Québec Canada, J1K 2R1 Tél.: +1(819)-821-8000 ext. 63864 http://www.gel.usherbrooke.ca/rouat http://www.gel.usherbrooke.ca/necotis http://www.usherbrooke.ca/gelecinfo/fr/pers/profs/rouj-fr/ Jean.Rouat(a)umontreal.ca ou Jean.Rouat(a)usherbrooke.ca https://www.usherbrooke.ca/recherche/fr/expertus/?getSpecialist=369656&page… https://www.gel.usherbrooke.ca/rouat/publications/publiDeJRouat.html

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postdoctoral position Canavier lab New Orleans- hippocampal modeling
by Canavier, Carmen C. 12 Dec '19

12 Dec '19

A Postdoctoral Researcher position is available in the computational neuroscience lab of Carmen Canavier in the School of Medicine, Department of Cell Biology and Anatomy at LSU Health Sciences Center in New Orleans, Louisiana, USA. The position is to study cholinergic contributions to hippocampal information processing in close collaboration with electrophysiologist Sonia Gasparini. The successful candidate will construct a morphologically and biophysically realistic model of a hippocampal CA1 pyramidal neuron to explain the observed integration of synaptic inputs and the effects of neuromodulation. Some network modeling will also be required for the project. If interested, please apply at https://lsuhsc.peopleadmin.com/postings/6717 The primary duties will involve linear and non-linear analyses, writing code, calibrating single neuron models, and generating predictions that lead to additional experiments. Candidates must have a Ph.D. in Neuroscience, Engineering, Mathematics, Physics, Computer Science or a related field of study. The ideal candidate would have experience with the simulation package NEURON and some knowledge of the hippocampus. Familiarity with nonlinear dynamics, signal processing, and coding in C and or python in a Linux environment is also desirable. If you have questions, please email Dr. Canavier at ccanav(a)lsuhsc.edu<mailto:ccanav@lsuhsc.edu>. LSUHSC is an Equal Opportunity Employer for females, minorities, individuals with disabilities and protected veterans.

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BBSRC MIBTP PhD Studentships in Computational Neuroscience at Leicester
by Jian Liu 12 Dec '19

12 Dec '19

Three fully-funded BBSRC MIBTP PhD Studentships in Computational Neuroscience are available at the Centre for Systems Neuroscience, the University of Leicester (UK). To apply, please visit: https://le.ac.uk/study/research-degrees/funded-opportunities/bbsrc-mibtp <https://www.google.com/url?q=https%3A%2F%2Fle.ac.uk%2Fstudy%2Fresearch-degr…> https://sites.google.com/site/jiankliu/join-us *The application deadline is 12 January 2020.* *1. Neuronal coupling across spatiotemporal scales and dimensions of cortical population activity* * Dr. Michael Okun and Dr. Jian Liu, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/neuronal-coupling-across-spatiotempor… The human cortex is the most complex known system. It is responsible for a vast range of sensorimotor, decision making, and other cognitive abilities of humans and other mammals. The activity of cortical neuronal networks is organised across multiple spatiotemporal scales, and remains poorly understood. Our laboratory is particularly interested in the relationship between the activity of an individual neuron and of the larger networks within which the neuron is embedded (Lewis, 2015). For example, we have recently compared the coupling between neurons and their local network across an extensive range of timescales, finding major timescale-dependent distinctions, suggestive of different mechanisms regulating cortical activity on different timescales (Okun et al., 2019). We use recordings using next-generation high-density silicon probes for data collection (Jun et al., 2017) and advanced computational methods for their analysis. There are several computational projects available in the above research area, relying on data we are collecting in the laboratory as part of ongoing projects, as well as on publicly available datasets. The projects are suitable for students with a background in exact sciences or computer science and programming. *2. Decoding movement kinematics from subpopulations of motor cortex neurons* * Dr. Todor Gerdjikov and Dr. Jian Liu, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/decoding-movement-kinematics-from-sub… The purpose of the current project is to investigate novel approaches for decoding movement parameters from neural data acquired from morphologically distinct motor cortex neurons. Using computational approaches we will investigate the relationship between forelimb movement kinetics and neural activity in subpopulations of output-defined motor cortex neurons. Firstly, we will link activity in discrete output-defined M1 neuronal populations to movement parameters in rats trained in a skilled reaching task. This aspect of the work will rely on modern viral approaches to separately tag neurons belonging to different projections and record their activity in behaving rats using fibre photometry and/or extracellular neurophysiology. Computational approaches such as machine learning and neural network modelling will be used to decode kinematics derived from movement data. A second aspect of the work will involve causal experiments where we will use optogenetics to selectively ‘turn off’ the activity of discrete projections. We will investigate how these manipulations affect fine motor control in behaving rats to causally tease apart the contribution of each projection to motor control. *3. Towards a functional model for associate learning and memory formation* * Dr. Jian Liu and Professor Rodrigo Quian Quiroga, CSN/NPB, University of Leicester* https://www.findaphd.com/phds/project/towards-a-functional-model-for-associ… This project aims to study the most up-to-date experimental data regarding single-neuron and network learning and coding in humans, with the expectation that a functional model could be established thereon. If possible, this model shall be not just biologically descriptive but also computationally implementable, as the stimulation protocol is based on the natural scenes of visual and auditory scenes that are beyond the simple protocols. This project involves data analysis where the data of human recordings will be provided by local researchers at our Centre. We will have access to the data of single-cell hippocampal recordings during memory and learning tasks of human subjects under the natural stimulations. Based on these data, we will draw a hypothesised theoretical model that is plausible for these new sets of experimental data as well as for other related published results. Furthermore, designs of new experiments based on the theoretical predictions shall also be made such that the model could be experimentally testified or falsified.

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Postdoc position at CNRS/Inserm
by James Bonaiuto 11 Dec '19

11 Dec '19

Dear all, I'd like to announce the following postdoctoral position on the role of oscillations in brain communication and motor behavior: This position is available for a highly motivated postdoctoral researcher in Lyon, France, at the Lyon Neuroscience Research Center (CRNL) and at the Institute for Cognitives Sciences Marc Jeannerod (ISCMJ) under the direction of Mathilde Bonnefond, Ph.D and James Bonaiuto, PhD. The position is funded for 7 months and 2 years by two grants from the European Research Council (n°716862 and n°864550 respectively). The project is aimed at determining the role 1) of brain oscillations at different frequencies in brain communication and 2) of beta bursts in motor behavior. The candidate will use cutting edge techniques in both high precision magnetoencephalography (MEG) and high resolution functional magnetic resonance imaging (fMRI, 3.0 T Siemens scanner) with healthy human volunteers. The post-doctoral fellow will: • develop and optimize the analysis of laminar level source signals as well as cortico-cortical functional connectivity applied to oscillatory activities. • analyze data from an fMRI experiment aiming at optimizing the analysis of MEG data for each participant. • analyze the relationship between three-dimensional movement kinematics and beta burst activity • synthesize results, write reports and scientific articles. The postdoctoral fellow will work together with a research assistant whose involvement in MEG/fMRI recording will be limited. Enthusiastic and self-motivated candidates are encouraged to apply. The successful candidate will benefit from structured mentoring support and opportunities for travel and presentation at national meetings. The CRNL and ISCMJ are multidisciplinary research institutes offering a vibrant working atmosphere in an international environment with multiple opportunities for seminars, workshops and methodological clubs. *Expected starting date*: Mid-February 2018 the earliest, but applications will be considered until the position is filled. *Job Requirements: * * [Mandatory] Ph.D. in Cognitive Neuroscience, Engineering or related field * [Mandatory] Autonomy in programming in MATLAB or Python * [Mandatory] Experience in using imaging analysis software (MNE, SPM, Fieldtrip, FSL, BrainVisa ...) * Knowledge of brain oscillations and signal processing * Experience with computer vision and analysis of movement kinematics is a plus * Fluency and solid writing skills in English are expected. French is absolutely not a requirement. *How to Apply: * Please send your application to BraindynMobeta(a)gmail.com with the following information: -CV including a brief (1/2 page) summary of previous research -Short letter of motivation describing research interests -Name of two colleagues who could provide a recommendation Please indicate "Post-doc application Braindyn Mobeta" as the subject of your email. James Bonaiuto Institut des Sciences Cognitives Marc Jeannerod 67 Bd Pinel <https://maps.google.com/?q=67+Bd+Pinel&entry=gmail&source=g>, 69675, Bron Cedex, France james.bonaiuto(a)isc.cnrs.fr

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[jobs] Neural Network models for language and interactive robots
by Wermter, Stefan 10 Dec '19

10 Dec '19

The Department of Informatics, Institute of Knowledge Technology, invites applications for multiple positions as RESEARCH ASSOCIATES (Postdocs and PhD Students) in the context of the project CROSSMODAL LEARNING: Neural network models for language and interactive robots. Positions commence from January 2020 or as soon as possible thereafter and are in accordance with Section 28 subsection 3 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) on SALARY LEVEL 13 TV-L. These are fixed-term contracts in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The term is fixed for up to 4 years until 31st of December 2023. The full-time positions call for 39 hours per week. Responsibilities: Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. Specific Duties: Duties in the project include the design, development and evaluation of neurocognitive models of crossmodal language learning as well as neurorobotic models for crossmodal joint attention and social interaction. The overall project aims to deepen interdisciplinary research between computer science, neuroscience, and psychology in order to set up collaborative research with a focus on human-robot-collaboration, artificial intelligence, neuroscience and psychology while focusing on the topic of cross-modal learning. The long-term challenge is to understand the neural, cognitive and computational evidence of cross-modal learning and to use this understanding for (1) better analyzing human performance with cross-modal correspondence and (2) building effective cross-modal computational and robot systems. Requirements: A university degree in a relevant subject. For doctoral positions, academic degree of MSc in computer science, computer engineering or similar. For post-doctoral positions, a doctorate, or equivalently the experience of more than three years of doctoral studies plus publications in the area of Intelligent Systems are required. The degree must qualify the post holder to carry out the above-mentioned duties. Programming skills in some of Python, C, ROS, Tensorflow or PyTorch are required. Your demonstrated research interests should be in some of the areas of Intelligent Systems (e.g. Neural Networks, Robotics, Machine Learning, Speech, Vision, or Affective Processing). International publication experience is expected. Very good communication skills in English are expected. The University aims to increase the number of women in research and teaching and explicitly encourages qualified women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG). Qualified disabled candidates or applicants with equivalent status receive preference in the application process. As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally. For further information, please contact Prof. Dr. Stefan Wermter or consult our website at: https://www.informatik.uni-hamburg.de/wtm/ Applications should include a cover letter, a tabular curriculum vitae, pdf of best publications, and copies of degree certificate(s). Please send applications by 15.01.2020 or until the post gets filled to Ms Katja Koesters (katja.koesters(a)informatik.uni-hamburg.de) in a single pdf document. *********************************************** Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email: wermter AT informatik.uni-hamburg.de https://www.informatik.uni-hamburg.de/WTM/ ***********************************************

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Fully funded PhD position: interdisciplinary work on machine/deep learning and visual cognitive neuroscience
by Tim Kietzmann 10 Dec '19

10 Dec '19

Dear all, I am hiring a graduate student to join our group at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, NL. Please spread the word, or consider applying if you are interested in working with us on machine/deep learning and visual cognitive neuroscience. - 40 hours per week - Maximum gross monthly salary: € 2,972 - Up to four years, fully funded - Application deadline: 15 December 2019 Please find more details on the job post here: https://www.ru.nl/werken-bij/vacature/details-vacature/?recid=1072356 Details on our work can be found here: http://www.timkietzmann.de Best wishes Tim __________________________________ *Dr. rer. nat. Tim C Kietzmann* Assistant Professor Donders Institute for Brain, Cognition and Behaviour DCC Department for Artificial Intelligence Radboud University, NL Senior Research Associate, Graduate Supervisor MRC Cognition and Brain Sciences Unit University of Cambridge Web: http://www.timkietzmann.de Email: t.kietzmann(a)donders.ru.nl Twitter: @timkietzmann

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PhD position at Tel Aviv University: Enhancing motor learning with computational scaffolding
by Jason Friedman 10 Dec '19

10 Dec '19

A funded PhD position is available at Tel Aviv University in the Movement Sciences lab with Dr. Jason Friedman, in the field of human motor control, on the topic of enhancing motor learning. The PhD will be part of a larger collaborative project with Prof. Helge Ritter from Bielefeld University, Germany, where they investigate manual intelligence of both humans and robots. In this project, we will use a technique called computational scaffolding in order to speed up the process of motor learning. In this technique, a temporary structure (scaffold) is provided during the learning process and slowly removed as learning takes place. We will use this technique to individualize and enhance the motor learning process in two applications – learning how to play the piano and learning a new swimming stroke. The student will be involved in all aspects of the project, included running experiments, recording and analyzing movement data, applying motor guidance for enhancing learning, and active collaboration with our partners. Students with a background in Motor Control, Physical Therapy, Neuroscience, Psychology, Physics, Computer Science, Biomedical engineering or related areas are encouraged to apply. Programming experience in Python or other languages, and a musical background is an advantage. Please contact Dr. Friedman (jason(a)tau.ac.il) with a CV for further information.

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Call for Applications - 2020 Nengo Summer School
by Peter Blouw 09 Dec '19

09 Dec '19

[All details about this school can be found online at https://www.nengo.ai/summer-school] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce our 7th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel’s neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at a recent summer school, check out this short video: https://goo.gl/4tVUkQ <https://www.youtube.com/watch?v=NwtYgBB2N6I&t=1s> We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2020*** Format: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on building neuromorphic applications, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware (e.g. Loihi, SpiNNaker, BrainDrop) - interface Nengo with (spiking and normal) cameras and robotic systems - integrate machine learning methods into biologically oriented models - implement modern nonlinear control methods in neural models - build perceptual, motor, and sophisticated cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - and much more… Date and Location: June 7th to June 19th, 2020 at the University of Waterloo, Ontario, Canada. Applications: Please visit https://www.nengo.ai/summer-school/, where you can find more information regarding costs, travel, lodging, along with an application form. We ask that you provide a short description of a possible project, and to briefly indicate how this project might make use of the tools and methods that the summer school will be covering, as listed above. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) The school is partially supported by Applied Brain Research, Inc. We look forward to hearing from you!

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NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland)
by Michał Zaręba 09 Dec '19

09 Dec '19

CALL FOR ABSTRACTS and REGISTRATION for NEURONUS 2020 IBRO Neuroscience Forum (24-26 April 2020, Krakow, Poland) are now OPEN! More information and the application forms can be found on our website: http://neuronusforum.pl/. With prominent speakers and an unique atmosphere of one of the oldest and most beautiful Polish cities, NEURONUS IBRO Neuroscience Forums have established themselves in the European calendar of scientific events as a platform for communication between scientists from different fields of neuroscience. The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests, and we invest a lot of effort to attract as influential neuroscientists as possible. This year’s keynote speakers include: - Karl Friston (University College London, the UK) - Pico Caroni (University of Basel, Switzerland) - Karin Roelofs (Radboud University Nijmegen, the Netherlands) - Alejandro Schinder (Leloir Institute, Buenos Aires, Argentina) - Adam Hampshire (Imperial College London, the UK) - Dayu Lin (New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. So far, we have confirmed participation of two pioneering researchers: - Viktor Jirsa (Aix-Marseille University, France) - Dominik Paquet (Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put emphasis on development of early-career researchers. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you in the pleasant spring scenery of Krakow! On behalf of the Organising Committee, Michał Zaręba

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Openings for Machine Learning Engineer / Healthcare Data Analyst / Neural Engineer (multiple levels)
by Zanos, Theodoros 09 Dec '19

09 Dec '19

The Neural and Data Science Lab at the Institute of Bioelectronic Medicine, Feinstein Institutes for Medical Research is currently recruiting for a Machine Learning Engineer / Healthcare Data Analyst / Neural Engineer (multiple levels). The lab focuses on data analysis and machine learning methods to develop algorithms that will power the next generation bioelectronic medicine devices to enable early diagnosis, disease severity assessment and personalization and adaptability of a therapy. The specific opening is part of our lab's ongoing efforts to gain actionable insights into advanced diagnostics and healthcare processes to improve the quality of care and enhance the patient experience. The successful candidate will lead cutting edge projects in healthcare data analytics, having access to state-of-the-art computing power (both on-prem and cloud-based) and access to enormous amounts of data from one of the largest health systems in the world. They will collect, organize and analyze data from various sources, collaborate with physicians and other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. Required Qualifications/Skills - Graduate-level degree in electrical/biomedical engineering, computer science, or related fields - Fluent programming in Python and Matlab - Experience with scientific packages in Python: Numpy, Scipy, Pandas, Matplotlib - Background in machine learning: basic ML concepts, training, and evaluation of model Preferred Skills - Experience implementing custom ML models using Tensorflow - Worked both on Windows and Linux - Authored/co-authored research papers and/or scientific abstracts - Experience with various signal processing methods To apply, please send a cover letter describing your qualifications and an academic CV to tzanos at northwell.edu and include Machine Learning Engineer / Healthcare Data Analyst / Neural Engineer in the subject heading. Work Visa Sponsorship is available. Theodoros Zanos, PhD Assistant Professor Head, Neural & Data Science Lab www.neuraldatascience.org<http://www.neuraldatascience.org/> Institute of Bioelectronic Medicine, Room 1257 The Feinstein Institute for Medical Research Hofstra Northwell School of Medicine Phone: +1-516-562-0484 Email: tzanos(a)northwell.edu<mailto:tzanos@northwell.edu> The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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two post-doc positions at the University of Bristol
by Jeffrey Bowers 09 Dec '19

09 Dec '19

Please find links two RA (postdoc) positions to join the ERC project "Generalisation in Mind and Machine" at University of Bristol, UK. Also, here is a link to our lab page: https://mindandmachine.blogs.bristol.ac.uk/ Feel free to email me if you have any questions, Jeff https://www.jobs.ac.uk/job/BXD841/senior-research-associate https://www.jobs.ac.uk/job/BXF540/erc-research-associate Jeffrey Bowers School of Experimental Psychology University of Bristol Personal website: https://jeffbowers.blogs.bristol.ac.uk/ ERC lab website: https://mindandmachine.blogs.bristol.ac.uk/

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Recruitment of postdoctoral researchers and PhD students in computational brain science, Yonsei University College of Medicine
by Jiyoung Kang 09 Dec '19

09 Dec '19

Dear all, It is our pleasure to announce an exciting opportunity for post-doc (or any other research) positions at Center for Systems and Translational Brain Science, Yonsei University, Republic of Korea (P.I. Professor Hae-Jeong Park). We develop computational methods to explore brain dynamics at various levels (from neuron to behavior), and seek for highly motivated candidates who find interest in computational neuroscience. The center specializes in the following domains: - Computational modeling based on dynamic causal modelling of the neural circuit observed in vitro and in vivo animal and human data (CaI, VSDI, LFP, M/EEG, BOLD). - Computational and systems neuroscience for the network controllability - Computational modeling of human behaviors We have neuroimaging facility of 3T fMRI, PET, EEG-fMRI, MEG, TMS+(navigation). Our research team is composed of multidisciplinary researchers from biophysics, biomedical engineering and cognitive science with strong clinical support. For details, please see the following web link: http://neuroimage.yonsei.ac.kr. If you have any questions, please contact Dr. Jiyoung Kang (jykang(a)yuhs.ac) Best regards Jiyoung Kang Center for Systems and Translational Brain Science Department of Nuclear Medicine, Radiology, Psychiatry, Department of Cognitive Science, Yonsei University College of Medicine, Seoul, Korea

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PhD Opening on large-scale dynamics of functional networks and information routing (@Aix-Marseille University)
by BATTAGLIA Demian 09 Dec '19

09 Dec '19

We are recruiting one PhD fellow at the Institute for Systems Neuroscience at Aix-Marseille University. The student will work within Dr. Demian Battaglia’s group (theoretical neuroscientist), in strict interaction with other researchers at Aix-Marseille University (Andrea Brovelli, systems and cognitive neuroscientist; Alain Barrat, complex networks physicist). The project will delve with the analysis of multi-frequency dynamic brain networks in large-scale electrophysiological recordings. Brain regions interact between them in a highly dynamic manner even to perform very simple tasks, preventing too simplistic attempts of description. Flexibly changing patterns of information exchange and integration can be tracked using novel information theoretical and time-series analyses tools and generating directed multi-layer temporal networks representations of the data. In the framework of this project, a variety of different large-scale electrophysiological datasets (from rodents to non-human primates and humans), will be characterized based on complex network analyses tools that, initially forged in statistical physics, have not yet been adapted to be compliant with neural datasets, although they provide a natural language to describe the complex “life” of cell assemblies and transiently integrated coalitions of brain regions. The PhD fellow will characterize how spatio-spectro-temporal network patterns correlate or predict behavior and cognitive performance (e.g. in working memory or spatial navigation tasks) and, potentially, how these patterns are altered in specific animal pathology models (AD, ALS…). Network analyses of empirical data may be complemented by the design of connectome-based computational models of multi-scale oscillations, to reverse engineer physiological mechanisms (e.g. alterations of excitability) that may underpin generalized functional connectivity changes, in control or pathological conditions. This project is one of the “ESR” (Early Stage Researcher) positions opening within the Marie Skłodowska-Curie Innovative Training Network (ITN) project “i-Conn” funded by the European Commission, under their H2020 program. Such prestige program offers ideal conditions to the successful candidate such as: a salary well superior to the national average of ~1.9k euros monthly (plus family allowance when applies), net after taxes, with full social security coverage; and generous grant money for training and traveling to conferences. Through the ITN project activities, the PhD fellow will have the opportunity to come in contact with leading research groups in the UK, Germany, Czech Republic, Austria and Cyprus adopting network science techniques in a wide variety of disciplines, including neuroscience, but also socio-economics, geography, astronomy, etc. At Aix-Marseille University, the PhD fellow will integrate the second largest neuroscience community in France in a dynamic university with emphasis on interdisciplinary approaches. The PhD fellow will profit of the high-level training opportunities provided by the local “NeuroSchool” (https://neuro-marseille.org/en) an excellence PhD program in clinical and integrative neuroscience, as well as by convergence institutes as the Turing Center for Living Systems (http://centuri-livingsystems.org) In addition, Marseille is a vibrant multi-cultural city located in the beautiful natural and cultural context of Southern France, at a few hours only by direct high-speed train from European cities as Paris, Barcelona, Brussels or Frankfurt. We seek for candidates with computational neuroscience, physics or computer science/machine learning background (ideally but not necessarily). The most important prerequisite is the willingness and skill to explore large-scale datasets. Previous experience in programming, computational modeling or network analyses is a plus. The working and training language is English. IMPORTANT! some strict eligibility requirements apply to be eligible as an Early Stage Researcher funded by Marie Skłodowska-Curie program: 1) The applicant should have — at the date of recruitment — less than 4 years of a research career, and not have a doctoral degree. The 4 years are measured from the date when they obtained the degree which would formally entitle them to embark on a PhD, either in the country where the degree was obtained or in the country where the PhD is provided. 2) Trans-national mobility: The applicant — at the date of recruitment— should not have resided in the country where the research training takes place for more than 12 months in the 3 years immediately prior to recruitment, and not have carried out their main activity (work ,studies, etc.) in that country. For refugees under the Geneva Convention (1951 Refugee Convention and the 1967 Protocol), the refugee procedure (i.e. before refugee status is conferred) will not be counted as ‘period of residence/activity in the country of the beneficiary’. To register your interest in applying for this position please, and to ask for any further information, please contact demian.battaglia(a)univ-amu.fr. To apply for this position, we require a copy of your CV, degree transcripts, motivation letter and the names and/or recommendation letters of 2 referees. Please include your master thesis as well and any publication you authored (included manuscripts at preprint or sufficiently advanced draft stages).

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