- Comp-neuro - lists.cnsorg.org

Research Fellow Position in Seizure Prediction
by Levin Kuhlmann 07 Jun '19

07 Jun '19

We have a Research Fellow opening through a collaboration between the University of Melbourne and Monash University for someone to develop and crowdsource machine learning and data science approaches to solving seizure prediction. Seizure prediction will enable the generation of warnings so a person with epilepsy can move to safety, or activation of electrical stimulation or drug delivery to prevent seizures. Our team leverages unique long-term human brain activity data to find novel, clinically relevant solutions to seizure prediction, and publishes these findings in the highest impact neurology journals (Lancet Neurology, Nature Reviews Neurology, Nature Neuroscience, Brain, PNAS). The appointed research fellow is expected to successfully contribute to and drive innovative research activities to help make seizure prediction a viable option to support patients with epilepsy. The successful candidate will hold a PhD or equivalent qualification complemented with experience in machine learning, data science, signal processing, dynamical systems theory, time series analysis and/or cloud computing. Applications close: 2nd July 2019 To apply visit: https://careers.pageuppeople.com/422/ci/en/job/900082/research-fellow-seizu…

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Open PhD position in Juelich, Germany: An approach to tracking the provenance of data acquisition and analysis in neuroscience
by Martina Reske 06 Jun '19

06 Jun '19

The Helmholtz School for Data Science in Life, Earth and Energy offers a PhD position in neuroscience! See here for more information on the specific position: https://www.hds-lee.de/fileadmin/user_upload/HDS_LEE/open_positions/An_appr… Kind regards, Martina -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Calling all python programmers!
by Marina 05 Jun '19

05 Jun '19

Check out this unique job opportunity at the Allen Institute for Brain Science and apply to be part of a diverse team of neuroscientists and engineers working to understand how experience influences neural processing. Python fluency and a desire to work as part of a team are key qualifications. Apply here: Job posting on Indeed <https://www.indeed.com/viewjob?jk=964ae8a153d09354&q=allen+institute&l=Seat…> *Software Engineer I – Software tools for behavioral neuroscience * The Allen Institute for Brain Science seeks a Software Engineer to be an essential member of a scientific team investigating how neural circuits represent visual categories and how this coding is modified by experience, expectation, and motivation. The datasets created as part of this project will be publicly released as an open data resource for the community, in line with the Allen Institute’s core principles of big science, open science & team science. The primary role of this Software Engineer will be to work closely with neuroscientists and engineers to develop and maintain software tools for conducting and analyzing experiments designed to measure brain activity during behavior. This will require developing an in depth understanding of the scientific motivation and rationale of these studies in order to effectively translate scientific requirements into code. Accordingly, experience with or interest in neuroscience is highly valued. As part of a highly collaborative environment with an existing software ecosystem, good communication and enthusiasm for working with and learning from others is essential to this role. This position will serve as a bridge between scientific and engineering teams by contributing to early development alongside scientists, then helping to translate that development work into a highly standardized production environment. This will involve making use of existing tools and building extensions that can be used for new avenues of research. Responsibilities of this position include designing and writing stimulus control software, testing and troubleshooting code for running experiments and interacting with experimental hardware, building visualization tools to observe data acquisition in real time, writing tests, validation functions, and documentation to ensure that code is robust and results are accurate, attending meetings to discuss scientific goals and task requirements, and facilitating cross team coordination. *RESPONSIBILITIES* - Collaborate with diverse scientific and technical teams - Contribute to the design and creation of open data resources - Work with scientists and software engineers to transform complex requirements into software - Develop code to control and interact with hardware for running experiments - Implement behavior task logic in code using existing or new codebases - Understand and utilize internal databases for data management - Create and analyze visual stimuli such as images or 3D rendered objects - Write, test and troubleshoot scripts for running behavior experiments - Write unit tests and validation functions to ensure that software is working according to specifications - Write well documented code, refactor and document existing code - Manage scientific analysis codebase, address GitHub issues, maintain documentation - Build visualization tools to evaluate data quality and scientific results - Transfer knowledge of scientific code to the Process Engineering team for production implementation - Enjoys solving problems - Strong communication skills - Desire to work as part of a team in a collaborative environment - Dedicated team player *REQUIRED QUALIFICATIONS* - Bachelor’s degree in a relevant technical discipline, such as computer science, computational neuroscience, data science, or biomedical engineering - Proficient in Python - Strong programming ability for scientific computing - Experience with Python tools for scientific computing (numpy, scipy, pandas, scikit-learn, scikit-image, etc) - Working knowledge of Git for version control and collaborative coding - Experience writing unit tests, debugging code, using profiling tools *DESIRED QUALIFICATIONS* - 1+ years of relevant experience in a team oriented software development environment - 1+ years of experience with scientific computing - Experience with systems or behavioral neuroscience - Experience refactoring existing code bases to improve maintainability. - Experience with relational (e.g. postgres, SQL) and/or distributed (e.g. MongoDB) databases - Experience with scientific data visualization - Experience with image or signal processing - Experience with hardware interfaces, graphical user interfaces - Experience meeting aggressive timelines and deliverables - Experience pursuing research projects in collaborative fashion

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postdoctoral position
by Daniel Ferris 05 Jun '19

05 Jun '19

A postdoctoral researcher position studying human locomotion is available in the laboratory of Dr. Daniel Ferris ( https://faculty.eng.ufl.edu/human-neuromechanics-laboratory) This position is for an initial one-year appointment, and has the potential to be renewed for an additional three years based on performance and funding availability. Dr. Ferris has a long history of training professionals who have entered and succeeded in both academic and industry positions. The postdoctoral research will work on a currently funded NIH project (U01 AG061389) designed to identify neural correlates of mobility impairments in older adults. Research will involve using high-density electroencephalography (EEG) to track changes in electrocortical dynamics in older adults in a longitudinal study. Subjects will walk on a range of terrain surfaces to determine how they compensate for surfaces that challenge their stability. We will determine whether poorer walking performance is associated with the Compensation Related Utilization of Neural Circuits Hypothesis (CRUNCH). CRUNCH is a well-supported model of brain activity patterns that are seen when older individuals perform tasks of increasing complexity. CRUNCH describes the over-recruitment of frontoparietal brain networks that older adults exhibit in comparison to young adults, even at low levels of task complexity. CRUNCH also describes the limited reserve resources available in the older brain. These factors cause older adults to quickly reach a ceiling in brain resources when performing tasks of increasing complexity. *Attributes of UF and Gainesville*: The BME Department is housed in a state-of-the art building that is located in the medical school and steps from engineering. The University of Florida is one of only a few comprehensive universities, having medical, veterinary, dental, nursing, public health, and engineering disciplines all co-localized on the same, contiguous campus. UF is a highly collaborative environment that provides researchers with many opportunities for learning (e.g., top seminar programs, excellent core research facilities) and research collaborations. Gainesville is located in the northern region of Florida, within 1-1.5 hours of each coast, and just 1.5-2 hours to Orlando and Tampa. It is a small to medium-sized city with a low cost of living, excellent public and private schools, and southern hospitality. While Gainesville is widely recognized as the home of the Gators, it is quickly becoming known as a center for innovation and a place with a lifestyle that’s comfortable for families, yet attractive for young professionals. In 2013 the financial website NerdWallet deemed Gainesville the #1 fastest growing US city ( http://www.eng.ufl.edu/careers/why-gainesville) The J. Crayton Pruitt Family Department of Biomedical Engineering is one of only a few departments in the nation to be co-localized with a top-ranked medical school, veterinary school and dental school. The department is housed in a new state-of-the-art building (completed in 2010) that is co-located with the medical school and steps from engineering. Biomedical Engineering at UF partners with many local research centers and institutes including the McKnight Brain Institute, the Clinical and Translational Science Institute, the National High Magnetic Field Laboratory and the Malcom Randall VA Medical Center. *Minimum Qualifications*: Applicants must have a Ph.D. in neuroscience, biomedical engineering, kinesiology or a related biomedical science area. Applicants must have experience with manuscript preparation and submission. Experience with Matlab, EEGLAB, EEG, and motion analysis is desirable. *Salary:* minimum is $48,000 annually *Days to post:* Position is open until filled. *Special Instructions to applicants:* In addition to applying online to Careers at UF (https://jobs.ufl.edu/) Applicants should send a CV, a brief statement of interest, and contact information for two references to Dr. Ferris at dferris(a)bme.ufl.edu. Review of applications will start immediately and continue until the position is filled. -- Daniel P. Ferris, Ph.D. Editor-In-Chief, IEEE-TNSRE editortnsre(a)gmail.com

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Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen
by Rufin VanRullen 05 Jun '19

05 Jun '19

Two PhDs and two Post-doc positions in Neuro-inspired Deep Learning with T. Serre & R. VanRullen [Apologies for cross-postings] We are seeking talented and motivated students and post-docs for a number of open positions, in a collaborative effort between the labs of Thomas Serre (Brown University/Toulouse) and Rufin VanRullen (Toulouse). The positions will be based in Toulouse (France), with numerous opportunities to travel, in particular for visits to and close collaborations with the Serre lab at Brown University (USA). The successful candidates will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. Applicants for the PhD positions should hold a Masters degree or equivalent. Applicants for the post-doc positions should hold a PhD, or expect to receive their PhD shortly. Candidates must have a strong background in computer vision and/or computational neuroscience and/or machine learning. Excellent python programming skills and Tensorflow/PyTorch experience are required. Additionally, applicants at the post-doc level should ideally have a track record of relevant publications at top venues (e.g., NIPS, ICML, CVPR, ICCV, ICLR, etc.). Exceptional candidates with a primary degree in Neuroscience and strong programming/quantitative abilities will also be considered. The fellows will be located in a state-of-the-art facility within the new ANITI (Artificial and Natural Intelligence Toulouse Institute) research center in Toulouse, France. They will be part of the AI Research Chairs held by Thomas Serre ("Reverse-engineering the brain") and Rufin VanRullen ("Deep Learning with semantic, cognitive and biological constraints"). They will also benefit from a lively local community of Deep Learning researchers: the Toulouse Interdisciplinary Deep Learning "TIdDLe" group (https://tiddle-group.github.io) Perks include: competitive salaries, clement weather, high quality of life, vibrant research environment. To apply, send a CV, a short (<1 page) explanation of research interests, and the name of 3 potential referees to thomas_serre(a)brown.edu and rufin.vanrullen(a)cnrs.fr The positions start in Fall 2019 (later start dates can be negotiated), the application procedure is and will remain open until all positions are filled. For more information about ongoing research projects in our labs, consult: http://serre-lab.clps.brown.edu/ and http://cerco.ups-tlse.fr/~rufin/ Some relevant papers: D. Linsley, J. Kim, & T. Serre. Sample-efficient image segmentation through recurrence. ArXiv 2019. https://arxiv.org/abs/1811.11356 D. Linsley, J. Kim, V. Veerabadran, C. Windolf & T. Serre. Learning long-range spatial dependencies with horizontal gated-recurrent units. Neural Information Processing Systems, 2018. https://neurips.cc/Conferences/2018/Schedule?showEvent=11042 D. Linsley, D. Schiebler, S. Eberhardt & T. Serre. Learning what and where to attend. International Conference on Learning Representations, 2019. https://openreview.net/forum?id=BJgLg3R9KQ VanRullen, R., Reddy, L. (2019). Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks. Nat Comm Biol. https://www.nature.com/articles/s42003-019-0438-y VanRullen, R. (2017). Perception Science in the age of Deep Neural Networks. Front. Psychology 8:142. https://www.frontiersin.org/articles/10.3389/fpsyg.2017.00142/full McLelland, D. & VanRullen, R. (2016). Theta-Gamma Coding Meets Communication-through-Coherence: Neuronal Oscillatory Multiplexing Theories Reconciled. PLoS Comput Biol 12(10), e1005162. https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005…

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Post-doctoral position in neural circuitry underlying sensory perception
by Pedro Lagomarsino de Leon Roig 05 Jun '19

05 Jun '19

We invite applications for two postdoctoral positions focusing on the application of causal optogenetic approaches to dissect the neural circuits underlying sensory perception. The applicants should have a strong background in neurophysiology, circuit neuroscience, or behavioral neuroscience and be highly independent with a strong propensity for interdisciplinary research. Previous experience with electrophysiological recordings, two-photon GCaMP imaging, optogenetics or behavioral analysis is desirable. Candidates must hold a PhD in neuroscience, physics, bio-engineering or a related discipline and be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and who are willing to interact with both experimental and theoretical neuroscientists. Research activities will be carried out in the Optical Approaches to Brain Function Laboratory, supervised by Dr. Fellin. For reference to recent work please see Forli et al. Cell Reports 2018, Zucca et al. eLife 2017; Bovetti and Fellin, J. Neurosci. Methods 2015; Beltramo et al., Nat. Neurosci. 2013. Applications (full CV, two recommendation letters, and statement of research interest) should be sent by email to Dr. Tommaso Fellin ( tommaso.fellin(a)iit.it)

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Post-doc Position in Open-Ended Deep Reinforcement Learning
by Jochen Triesch 04 Jun '19

04 Jun '19

We have an opening for a post-doc position in my lab (http://fias.uni-frankfurt.de/en/neuro/triesch) at the Frankfurt Institute for Advanced Studies (FIAS) to study Open-Ended Deep Reinforcement Learning in simulated robots. We study systems that effectively learn to control their bodies and their environment by defining their own learning goals, practicing the skills for achieving these goals and setting themselves progressively harder goals. The work will be performed in the context of the European GOAL-Robots project (http://www.goal-robots.eu) For a quick overview of the project, check out this video: https://youtu.be/sordZmyp8u8. The focus of this post-doc position will be on simulated humanoids learning visually guided object interaction. We are seeking an outstanding and highly motivated post-doc for this project. Applicants should have obtained a PhD in Machine Learning, Robotics, or a closely related field. The ideal candidate will have excellent programming and analytic skills and a broad knowledge of machine learning, robotics, and vision. An interest in cognitive development in human infants is a plus. The Frankfurt Institute for Advanced Studies (https://fias.institute/en/) is a research institution dedicated to fundamental theoretical research in various areas of science. The city of Frankfurt is the hub of one of the most vibrant metropolitan areas in Europe. It boasts a rich culture and arts community and repeatedly earns high rankings in worldwide surveys of quality of living. Applications should be sent as a single pdf file to triesch(a)fias.uni-frankfurt.de. Please include a brief statement of research interests, CV, and contact information for at least two references. The position can be filled immediately and applications will be reviewed on a continuing basis. The initial appointment will be for one year. -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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one postdoc position on testing models of mood and meta-cognition through large scale mobile platform - UPF & Telefonica Alpha (Barcelona)
by Alexandre Hyafil 04 Jun '19

04 Jun '19

One fully funded postdoc position is available under the supervision of Rubén Moreno Bote and Alexandre Hyafil jointly between University Pompeu Fabra (UPF) and the innovation facility Alpha powered by Telefonica, both in Barcelona, Spain. The position involves part time at the Theoretical and Cognitive Neuroscience group at the *Center for Brain and Cognition* (UPF)( https://www.upf.edu/web/ruben-moreno-bote) and at Alpha (www.alpha.company/) Alpha was established by Telefonica in January 2016 to address some of the biggest problems in society by conceiving and delivering radical solutions and breakthrough technology. The candidate will use psychophysics tasks on a large-scale mobile platform with >5k users to track the dynamics of meta-cognition and mood across various days. Candidates should have a PhD and expertise in Computational Neuroscience, Cognitive neuroscience or Cognitive psychology. Ideally he/she should have ample experience with psychophysics and sophisticated data analysis / machine learning techniques. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience. Our lab forms part of a larger network of neuroscience labs in Barcelona. Candidates, please send a CV, letter of motivation and contact emails for references to alexandre.hyafil(a)upf.edu. Informal enquiries are recommended. Gross salary: 36 k€/year. Deadline: until the position is filled. Starting date: as soon as possible. Initial appointment is for one year.

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Independent Research Fellow in Neural Data Science (UK)
by Mark Humphries 03 Jun '19

03 Jun '19

The University of Nottingham is investing in a major new research capacity in computational neuroscience. As part of this investment, we seek applications for a 2-year independent fellowship in Neural Data Science. The position is ideal for researchers with a clear vision to start their own research programme in a supportive, multi-disciplinary environment. We seek candidates positioned to join us in advancing the field of neural data science. This newly emerging discipline develops and uses the full gamut of modern computational techniques on neural data, to answer scientific questions about the brain. Candidates should be able to demonstrate a track record of quality research, and be able to independently manage their research. The Fellow will be attached to the Humphries's lab (https://www.humphries-lab.org/) for mentoring and scientific guidance, but work independently. For more on neural data science, see our guide: https://medium.com/the-spike/a-neural-data-science-how-and-why-d7e3969086f2 For full details of the role and to apply: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI168019 Please send informal enquiries to Professor Mark Humphries: mark.humphries(a)nottingham.ac.uk This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Full-Time Research Assistant (RA)/ Lab Manager at Max Planck Institute, Research Group of Lucia Melloni
by Lucia Melloni 01 Jun '19

01 Jun '19

We are hiring! Come join us as a Research Assistant/Lab Manager We are looking for a passionate and talented Lab Manager to join the research group of Lucia Melloni at the Max Planck Institute for Empirical Aesthetics (Frankfurt am Main, Germany). Our lab is interested in understanding why we perceive and remember the way we do, and specifically why we are conscious. To tackle those questions we use a range of methods including psychophysics, magnetoencephalography, functional magnetic resonance imaging, and invasive recordings in epilepsy patients. The lab manager is expected to provide support for research activities carried out in the lab but also to pursue research projects of his/her own. The position is particularly suited for a recent graduate from a Neuroscience, Psychology, Cognitive Science, Computer Science or related program who is seeking to work in an innovative research environment in preparation for graduate school. A two-year commitment is expected; the anticipated start date is August 2019 or soon after. Interested applicants are welcome to email Lucia Melloni directly for enquiries regarding the position (lucia.melloni(a)ae.mpg <mailto:lucia.melloni@ae.mpg>.de). Please submit your application, including a CV and a cover letter describing your background, experience and motivation - preferably in pdf format, and the names of two references that have previously agreed to be contacted no later than June 24, 2019, to: job(a)ae.mpg.de <mailto:job@ae.mpg.de> and lucia.melloni(a)ae.mpg.de <mailto:lucia.melloni@ae.mpg.de> with the subject Lab Manager L.Melloni For the full job description please see here <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>: https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht… <https://www.aesthetics.mpg.de/institut/jobs/lab-manager-neuroscience-fmd.ht…>

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6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality". Registration + Abstract submission are now open
by MFES, events 31 May '19

31 May '19

6th ESI Systems Neuroscience Conference "The recurrent cortex: feedback, dynamics, and dimensionality" 5-6 September 2019 Frankfurt am Main, Germany =========================================== The Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2019 will take place this year on September 5th and 6th at the Ernst Strüngmann Institute in Frankfurt, Germany. This year's theme is 'The recurrent cortex: feedback, dynamics, and dimensionality'. The conference will feature eleven internationally renowned speakers who will give talks on neural feedback, signal dimensionality, and temporal dynamics. Ample time for both formal and informal discussion has been included in the schedule. There will also be a poster session for which we welcome submissions. Confirmed speakers =========================================== Sacha van Albada Alessandra Angelucci Carina Curto Peter Dayan Thomas Fraps Nikolaus Kriegeskorte Jakob Macke Tatyana Sharpee Fred Wolf Rafael Yuste Li Zhaoping Registration and abstract submission are now open! =========================================== For more information and to register for the conference or submit a poster presentation, please visit: www.esi-frankfurt.de/esisync/<http://www.esi-frankfurt.de/esisync/> Or contact: esi-sync(a)esi-frankfurt.de<mailto:esi-sync@esi-frankfurt.de> Limited spaces are available, so early registration is encouraged. Best Regards, The ESI SyNC 2019 organizing team: Wolf Singer Pascal Fries Renata Vajda William Barnes Christini Katsanevaki Katharine Shapcott Cem Uran Yiling Yang

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Threshold Networks conference - Nottingham
by Stephen Coombes 30 May '19

30 May '19

Threshold Networks July 22 - 24, 2019 Nottingham, UK https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> This workshop will bring together a community of people interested in both networks and dynamics, with an eye to both mathematical tractability and applications to biology, engineering, physics, and the social sciences. The emphasis will be on ‘thresholds’ in their broadest sense as exemplified by node dynamics or interactions that are described by simple, yet possibly non-smooth or discontinuous switch-like processes. The workshop will cover both theory and applications. The meeting will have no parallel sessions, and it is expected to involve around 60 participants (with 11 main speakers) and contributed poster presentations. Speakers: Chris Bick, University of Exeter, UK Mario Di Bernardo, University of Bristol, UK Ginestra Bianconi, Queen Mary University of London, UK Jonathan Crofts, Nottingham Trent University, UK Des Higham, University of Strathclyde, UK Renaud Lambiotte, University of Oxford, UK Naoki Masuda, University of Bristol, UK Peter Mucha, University of North Carolina, USA Sarah Muldoon, University at Buffalo, USA Yamir Moreno, University of Zaragoza, Spain Mason Porter, UCLA, USA We are accepting abstracts for poster presentations at ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> The registration fee for the conference is 100.00 GBP. A “Tutorial Day” (covering key concepts in dynamical systems and network science) will also take place prior to the meeting (on July 21). Some financial assistance may be available to assist graduate students who attend both the training workshop and the conference. Further details of this meeting and how to register may be found at https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… <https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.notti…> Scientific Organisers Yi Ming Lai, Rüdiger Thul, and Stephen Coombes, University of Nottingham Mason A. Porter, UCLA Enquiries should be sent to: ThresholdNetworks2019(a)nottingham.ac.uk <mailto:ThresholdNetworks2019@nottingham.ac.uk> This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Call for abstracts: RSS2019 Workshop "Pervasively Neuro-Dynamic Robotics"
by Yulia Sandamirskaya 29 May '19

29 May '19

Dear Colleagues, we are excited to invite you to attend the Workshop “Pervasively Neuro-Dynamic Robotics: Do insights from neuroscience, cognitive science, and neuromorphic engineering lead to a radically new vision?”: https://www.ini.rub.de/rss2019-workshop/ <https://www.ini.rub.de/rss2019-workshop/> The workshop will be held on June 23 (afternoon) 2019 in Freiburg, Germany, as part of the Robotics Science and Systems (RSS) 2019 conference: http://www.roboticsconference.org <http://www.roboticsconference.org/> We invite submissions of 1-2 page abtracts describing recent work on neuronal and cognitive architectures than emphasize autonomy of behavior generation. The selected abstracts will be invited to be presented as a Demo showing autonomous generation of behavior and/or Poster showing a recent example of a neuronal cognitive architecture You can submit your abstract by email to ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> . Please, make sure that your submission contains your institutional address. If you like, you can attach a photo, which we will upload on the Workshop's webpage. Deadline for submission: 8. June 2019! Decisions will be announce on June 10. We are looking forward to your submissions and our discussions during the workshop! Yulia Sandamirskaya and Gregor Schöner — Workshop organisers — — Dr. Yulia Sandamirskaya Institute of Neuroinformatics (INI) UZH / ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: ysandamirskaya(a)ini.uzh.ch <mailto:ysandamirskaya@ini.uzh.ch> Tel: +41 44 63 53045 www.sandamirskaya.eu <http://www.sandamirskaya.eu/> https://neurotechai.eu <https://neurotechai.eu/>

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Multiple postdoc positions uOttawa
by Richard Naud 29 May '19

29 May '19

Multiple postdoc positions uOttawa Theoretical neuroscience, nonlinear/statistical physics, cellular electrophysiology and imaging, computational neuroscience University of Ottawa Multiple theoretical, computational and experimental neuroscience postdoctoral positions are available immediately at the Centre for Neural Dynamics of the University of Ottawa. Position 1: Theoretical neuroscience and nonlinear/statistical physics focusing on the dynamics of a population of core recurrent neurons within the hippocampus and their role in temporal and spatial memory. The candidate will be involved in collaborations between Profs. Len Maler, André Longtin and Jean-Claude Béïque. Position 2: Experimental and computational neuroscience focusing on dendritic integration. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. Richard Naud and Jean-Claude Béïque. Position 3: Computational and experimental neuroscience focusing on dendritic integration and recurrent circuitry. Expertise in cellular electrophysiology and/or computational neuroscience is an asset. The candidate will be involved in collaborations between Profs. André Longtin, Richard Naud, Jean-Claude Béïque and Len Maler. The researcher will join uOttawa’s Brain and Mind Research Institute’s Center for Neural Dynamics. uOttawa’s Neuroscience community is fast expanding, highly dynamic and offers a rich array of collaborative opportunities. Ottawa, the capital of Canada, is a green, multi-cultural city that offers the highest standard of living in the country and is second worldwide for quality of life (Numbeo index, 2015). The city has many parks including the UNESCO World Heritage Rideau Canal, and is surrounded by an extensive greenbelt and the vast Gatineau Park twenty minutes away. This bilingual, safe and culturally-rich city lies along the border between the provinces of Ontario and Québec, is a few hours of driving away from Montréal and Toronto and served by an international airport. Each position is for one year with automatic renewal for a second year following satisfactory progress, and a possible extension to a third year. Interested candidates should submit their CV and a brief statement of research interests to alongtin(a)uottawa.ca<mailto:alongtin@uottawa.ca> . The successful candidate would be a salaried employee of the University with a competitive remuneration and benefits package. Jean-Claude Béïque André Longtin Len Maler Richard Naud

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IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO 2020 #isiCNI2020
by Antrobus, Alexander 29 May '19

29 May '19

We would like to draw your attention to the fourth IBRO-SIMONS COMPUTATIONAL NEUROSCIENCE IMBIZO #isiCNI2020 5 - 26 January 2020, Muizenberg Beach, Cape Town, South Africa http://imbizo.africa/ Application deadline: 30th June 2019 The #isiCNI2020 is a southern hemisphere summer school aiming to promote computational neuroscience in Africa. It will bring together international and local students under the tutelage of the world's leading experts in the field. Like its international sister courses, this three-week summer school aims to teach central ideas, methods, and practices of modern computational neuroscience through a combination of lectures and hands-on project work. Mornings will be devoted to lectures on topics across the breadth of experimental and computational neuroscience. The rest of the day will be spent working on research projects under the close supervision of expert tutors and faculty. Individual research projects will focus on the modelling of neurons, neural systems, behaviour, the analysis of state-of-the-art neural data, and the development of theories to explain experimental observations. Who should apply? This course is aimed at Masters and early-PhD level students though Honours or advanced undergraduates may also apply. Postdoctoral students who can motivate why the course would benefit them are also encouraged to apply, Students should have sufficient quantitative skills, (e.g. a background in mathematics, physics, computer science, statistics, engineering or related field). Some knowledge of neural biology will be useful but not essential. Experimental neuroscience students are encouraged to apply, but should ensure that they have a reasonable level of quantitative proficiency (i.e. at least second-year level mathematics or statistics and have done at least one course in computer programming). Please distribute this information as widely as you can. Essential details * Fee (which covers tuition, lodging, and meals): 1100 EUR Thanks to out generous sponsors, significant financial assistance is available to reduce and waiver fees for students, particlualry for African applicants. We also hope to provide some travel bursaries for interrnational students. If you are in need of financial assistance to attend the Imbizo, please state so clearly in the relevant section of your application. * Application deadline: 30th June 2019 * Notification of results: late August 2019 Information and application https://imbizo.africa/<http://isicni.gatsby.ucl.ac.uk/> Questions? isicn.imbizo(a)gmail.com<mailto:isicn.imbizo@gmail.com> What is an Imbizo? \ɪmˈbiːzɒ\ | Xhosa - Zulu A gathering of the people to share knowledge. INVITED FACULTY Dora Angelaki - Baylor College of Medicine Demba Ba - Harvard University Adrienne Fairhall - Washington University Ila Fiete - University of Texas Peter Latham - University College London Timothy Lillicrap - Google DeepMind Blake Richards - University of Toronto Joseph Raimondo - University of Cape Town Srikanth Ramaswamy - EPFL Lausanne Athanassia Papoutsi - IMBB-FORTH Thomas Tagoe - University of Ghana Andrew Trevelyan - Newcastle University Misha Tsodyks - Weiszmann Institute of Science Tim Vogels - University of Oxford Byron Yu - Carnegie Mellon University Organisers Christopher Currin (University of Cape Town, South Africa) Emma Vaughan (Conference Managemant Centre) DIRECTORS Peter Latham (Gatsby Unit for Computational Neuroscience, UCL, UK) Joseph Raimondo (University of Cape Town, South Africa) Tim Vogels (University of Oxford, UK) Sponsors The isiCNI is made possible by the generous support from the Simons Foundation (https://www.simonsfoundation.org<https://www.simonsfoundation.org/>) and the International Brain Research Organisation (IBRO) (http://ibro.info<http://ibro.info/>) Organizational Affiliates University of Cape Town, University College London, University of Oxford, TReND in Africa<http://trendinafrica.org/>, CNCB<http://www.cncb.ox.ac.uk/>, Gatsby Foundation<http://www.gatsby.org.uk/>, IBRO African Center for Advanced Training in Neurosciences at UCT

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PhD positions in Neuromorphic olfaction
by Michael Schmuker 29 May '19

29 May '19

PhD positions in Neuromorphic machine learning, AI and robotics for chemical sensing Biocomputation Group University of Hertfordshire UK We are seeking candidates who want to join an international team of researchers with the goal to push the boundaries of chemical discovery. We use machine learning, AI and robotics to develop new methods for chemical sensing (electronic noses), gas-based navigation in robots, and knowledge discovery in chemical space. Our group leverages a new kind of computing hardware, so called neuromorphic systems, to translate processes from the brain into algorithms for efficient computing. We take inspiration from neuroscience to develop massively parallel, event-based, and power-efficient algorithms for machine learning, inference and control. Possible project topics include: * Bio-inspired signal processing and pattern recognition for chemical sensing, * Gas-based navigation for robots, * Deep learning for fragrance and aroma discovery, * Computing on neuromorphic hardware. Candidates with diverse skill profile are most welcome, e.g. with a background in: * Machine learning and AI, or * Neuroscience and neural computation, or * Signal processing and computer engineering, or * Fragrance/aroma chemistry and computational chemistry methods . Successful candidates are eligible for a research studentship award from the University (GBP 15,009 per annum bursary plus payment of the student fees). Applicants from outside the UK or EU are eligible, too. Please contact Dr Michael Schmuker for informal inquiries (m.schmuker(a)biomachinelearning.net ). Application forms and instructions how to apply are available under http://www.herts.ac.uk/apply/schools-of-study/computer-science/our-research… . The short-listing process will begin on 1 July 2019. — Dr Michael Schmuker AFHEA Reader in Data Science Biocomputation Group University of Hertfordshire https://biomachinelearning.net

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Research Fellow(s), Max Planck UCL Centre London
by Fischer, Susan 29 May '19

29 May '19

Research Fellow(s) Wellcome Centre for Human Neuroimaging UCL Queen Square Institute of Neurology MAX PLANCK UCL CENTRE FOR COMPUTATIONAL PSYCHIATRY AND AGEING At the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, we are seeking multiple suitably qualified postdoctoral fellows for a new initiative with Telefónica Innovación Alpha. The overarching goal is to exploit computational approaches to brain and behaviour to leverage insights into core deficits that underpin behavioural change and mental well-being. The postholder will be directly involved in tech-transfer of the research results achieving an immediate real-world impact and improving mental health of the general population. Supervision will be provided by Ray Dolan, Steve Fleming, Tobias Hauser, Quentin Huys, and Robb Rutledge. Applicants must have, or be close to obtaining, a PhD in neuroscience, psychology, or a quantitative field (e.g. Computer Science, Engineering, Physics). Expertise using computational approaches in the study of reinforcement learning and decision making or expertise with machine learning techniques is essential, so is knowledge of theoretical and computational neuroscience in relation to learning and decision making. Experience in fMRI and/or MEG is desirable. Experience in smartphone-based data acquisition and in collaborating with industry and start-ups and/or in supporting tech-transfer is desirable. Positions are available as soon as possible and are funded for 2 years in the first instance. Starting salary on the UCL Grade 7 scale, £35,328 – £42,701 pa, inclusive of London Allowance, superannuable. You should apply for this post through UCL's online recruitment – www.ucl.ac.uk/hr/jobs<http://www.ucl.ac.uk/hr/jobs> where you can download a job description and person specification using ref: 1803769. If you have any queries regarding the application process, please contact Miss E Bertram, Personnel Manager, UCL Institute of Neurology, (email: IoN.HRAdmin(a)ucl.ac.uk<mailto:IoN.HRAdmin@ucl.ac.uk>). It would be helpful if applicants could provide a telephone number that they can be contacted on during office hours. Applicants may contact Professor Ray Dolan directly (email: r.dolan(a)ucl.ac.uk<mailto:r.dolan@ucl.ac.uk>) for further information. Closing date: 2 June 2019 ________________________________ Susan Fischer Research Coordinator (London) Max Planck UCL Centre for Computational Psychiatry and Ageing Research Russell Square House 10-12 Russell Square London, WC1B 5EH Tel: +44 (0)207 679 8187 https://www.mps-ucl-centre.mpg.de/en Follow us on Twitter: @MPC_CompPsych<https://twitter.com/MPC_CompPsych>

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[High Performance Computing] Become a specialist!
by Master in HPC 29 May '19

29 May '19

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Wellcome Trust funded four-year PhD programme in Neural Dynamics.
by Conor Houghton 29 May '19

29 May '19

We are looking for applicants to the Neural Dynamics four-year PhD programme at the University of Bristol; this is to fill one place to join the cohort starting in September 2019. http://www.bristol.ac.uk/neural-dynamics/ <http://www.bristol.ac.uk/neural-dynamics/> We offer a generous four-year studentship stipend, PhD registration fees at the current Home/EU rate, substantial research expenses, and funds for travel to conferences or courses. We are able to waive the international fee for a successful international student. The deadline for applications is Wednesday 19 June 2019. All the best Conor Houghton

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Job Openings in Neuromorphic Computing
by Peter Blouw 28 May '19

28 May '19

Applied Brain Research <https://appliedbrainresearch.com/> (ABR) is a company that develops software and builds AI applications <https://www.youtube.com/watch?list=PL0Xs4sfQU-Q1MeTNaizzFWYv1Xz3ua7ZA&v=mua…>using neuromorphic methods and hardware. Our fifteen person team spun out of a computational neuroscience lab at the University of Waterloo, and works with world leading industrial partners and has early access to cutting edge technology to develop the next generation of AI hardware <https://vimeo.com/262517015>. We are growing. We are looking to hire for two positions: an FPGA Design Engineer <https://appliedbrainresearch.com/careers/?jobId=85z2t_rOLoOR>, and a Machine Learning Engineer <https://appliedbrainresearch.com/careers/?jobId=pyH1jqKudezj>. Further details about each position can be found by following the links above. For any general questions, feel free to contact info(a)appliedbrainresearch.com. We look forward to hearing from you!

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Barcelona summer school for Advanced Modelling of Behavior (BAMB!) - Application deadline June 3
by Klaus Wimmer 28 May '19

28 May '19

Applications to the new Barcelona summer school for Advanced Modelling of Behavior (BAMB! <http://www.bambschool.org>) are open until June 3rd. Please see the course website for further details: www.bambschool.org. BAMB! <http://www.bambschool.org> teaches advanced techniques in model-based analysis of behavior (humans and other species) to cognitive and computational neuroscientists at PhD and early career levels. This will be achieved through structured lectures, talks, hands-on tutorials and group project aimed at making knowledge obtained directly applicable to the participants' own research. We want the trainees to acquire both the conceptual bases and the technical skills that will enable them to pursue a full modelling approach on their own when they come back to their lab. The course is intended for PhD students and postdocs in cognitive and computational neuroscience with solid background in computational/quantitative analysis to benefit maximally from the advanced training offered by the course. Proficiency in either Python or Matlab is also required. We will seek a nice blend of experimentalists (cognitive psychology / neuroscience) and theoreticians (with or without experience in cognitive modeling).Female scientists and scientists from underrepresented countries are especially encouraged to apply. Dates and location: September 4-10, downtown Barcelona, Spain Organizers: Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Alex Hyafil (UPF/CRM, Barcelona) Confirmed Faculty: Jean Daunizeau (ICM, Paris) Alex Hyafil (UPF/CRM, Barcelona) Kerstin Preuschoff (Geneva) Alfonso Renart (Champalimaud) Maneesh Sahani (UCL) Chris Summerfield (Oxford / Deepmind) Klaus Wimmer (CRM, Barcelona) Angela Yu (UC San Diego) The summer school benefits from the generous support of the William K. and Katherine W. Estes Fund <https://www.psychologicalscience.org/members/awards-and-honors/estes-fund>, from the Sociedad Española de Neurociencia <http://www.senc.es/> and from the Centre de Recerca Matemática <http://www.crm.cat>.

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu 27 May '19

27 May '19

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-doc in Computational Neuroimaging of Decision-Making
by Yannis Delis 26 May '19

26 May '19

We are looking to appoint a postdoctoral fellow to make a leading contribution to an EU-funded project on the neurobiology of human decision making. The post will be based at the School of Biomedical Sciences of the University of Leeds. The aim of our research is to characterise the spatiotemporal dynamics and the computational principles of the brain networks underlying the processing of multisensory information, the formation of perceptual decisions and the execution of subsequent actions. To this end, we use multimodal recordings including neuroimaging (EEG), motor signals (EMGs and kinematics) and behavioural data coupled with advanced multivariate analysis methods and computational modelling. We develop computational methodologies inspired by machine learning, statistical signal processing, information theory and Bayesian modelling to fuse data from different modalities, extract the main patterns of brain activity and characterise their functional roles with respect to the task at hand. The goal of this project will be to unravel the neural representations of the mental processes implicated in the processing of (multi-)sensory information and the formation of perceptual decisions. Candidates must have previous practical experience in EEG recordings and data analysis as evident by a strong track record of publications in international journals. Working knowledge of multivariate data analysis techniques and excellent programming skills in Matlab and/or Python are highly desirable. Interested candidates are invited to contact Dr. Ioannis Delis (*i.delis(a)leeds.ac.uk <i.delis(a)leeds.ac.uk>*), email their CV and briefly explain their interest in this position. Starting date is flexible.

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ReScience C : special issue on 2019 ICLR Reproducibility Challenge in machine learning
by Nicolas Rougier 23 May '19

23 May '19

Dear all, It’s my great pleasure to announce that selected papers from the 2019 ICLR Reproducibility Challenge in machine learning (coordinated by J.Pineau) have been published in ReScience C and are freely accessible at: ReScience C, volume 5, issue 2 (2019), ICLR Reproducibility Challenge 2019 https://rescience.github.io/read/#volume-5-2019. If you’re interested in organizing a challenge or editing a special issue, feel free to contact me. Nicolas Rougier, ReScience C editor-in-chief.

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Call for Papers: Special Issue "Information Theory in Computational Neuroscience"
by Dimitrije Markovic 22 May '19

22 May '19

Dear Colleagues, You are cordially invited to submit a manuscript to Special Entropy Issue "Information Theory in Computational Neuroscience" https://www.mdpi.com/journal/entropy/special_issues/Computational_Neuroscie… Deadline for manuscript submissions: 31 January 2020 With best regards, Claudius Gros and Dimitrije Markovic Abstract ====== Brains empower living organisms with extraordinary information processing capabilities. Complex spatio-temporal dependencies present in their environments may be learned, long- and short-term memories of experiences and plans regarding the future. Importantly, information processing in the brain happens over multiple spatio-temporal scales, from single synapses and synaptic terminals to dendritic trees and neuronal bodies, all the way up to neuronal networks and large brain areas. Hence, it is not surprising that information theory has led to many exciting developments in computational neuroscience, providing tools essential for our modern understanding of the computational principles that govern the development, structure, physiology, and dynamics of the nervous system. In this Special Issue, we aim 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. ============================= 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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