- Comp-neuro - lists.cnsorg.org

Computational Neuroscience Job at the Krembil Research Institute
by Frances Skinner July 6, 2017

July 6, 2017

https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI… <https://www.recruitingsite.com/csbsites/uhncareers/JobDescription.asp?SiteI…> Job Posting #8045761 Position: Computational Neuroscience Research Scientist Site: Krembil Research Institute/Toronto Western Hospital Department: Research Reports to: Director Status: Permanent Full-time The Krembil Research Institute at the University Health Network in Toronto Canada invites applicants to apply for a Scientist position in the area of Computational Neuroscience. The ideal candidate will have a PhD in a relevant field, research expertise and experience in mathematical and computational modeling, and research interests that complement those of the Institute in neurobiology and neurodegeneration. Candidates whose research interests encompasses cellular, micro/macro circuits and/or large scale brain models, and who have collaborative experimental experience are especially encouraged. The successful candidate will have the ability to establish an independent, well-funded program and will be eligible for appointment at the appropriate level within the University of Toronto. The Krembil is one the principal research institutes of the University Health Network of academic teaching hospitals associated with the University of Toronto; the Krembil is also one of the largest research institutes in Canada focusing on human neurological disease from both a basic science and clinical research perspective. The University Health Network (UHN) is Canada's largest academic medical centre, comprising four major teaching hospitals. Qualified applicants must attach their letter of interest, research plan, resume PDF format to the online application and complete some initial screening questions. The search committee will begin to review applications in September with a potential start date in Winter 2018. Posted Date: June 22, 2017 Closing Date: Until filled UHN thanks all applicants, however, only those selected for an interview will be contacted. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. Requests for accommodation can be made at any stage of the recruitment process providing the applicant has met the Bona-fide requirements for the open position. Applicants need to make their requirements known when contacted.

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Summer school on Advanced Computational Neuroscience, Germany
by Alexander Schmidt July 6, 2017

July 6, 2017

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Advanced COMPUTATIONAL NEUROSCIENCE Summer School in Göttingen, Germany “Neural circuit theories for primate cognition” September 02nd - 10th, 2017 *REGISTRATION **DEADLINE *Ju**ly**2**3**, 201**7**** %%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Please, feel free to distribute this email to students and postdocs potentially interested in the school. The aCNS school within the Advanced Computational Neuroscience School in the Emotion-Cognition-Link-Series is a *9**-day intensive course* in *mathematical and computational neuroscience*. It offers an intensive pedagogy of advanced mathematical and computational tools to students working in computational neuroscience and already familiar with its interdisciplinary nature and is designed to qualify young researchers to push the frontiers of the field. The following researchers are in charge of the 4 two-day theoretical blocks and 4 evening lectures: * Nicolas Brunel <https://galton.uchicago.edu/%7Enbrunel/>, /University of Chicago/, Chicago, USA * Alexander Gail <https://www.uni-goettingen.de/en/57950.html>, /German Primate Center/, Göttingen, Germany * Raoul Memmesheimer <https://memmesheimer.net/>, /University of Bonn/, Bonn, Germany * John Beggs <http://www.indiana.edu/%7Eiubphys/faculty/jmbeggs.shtml>, /University of //Indiana/, Bloomington, USA * Julia Fischer <http://www.dpz.eu/en/unit/cognitive-ethology/about-us.html>, /German Primate Center/, Göttingen, Germany * Eckart Altenmüller <https://www.immm.hmtm-hannover.de/en/institute/people/eckart-altenmueller/>, /University for Music and Theater/, Hanover, Germany * Annekathrin Schacht <http://www.uni-goettingen.de/en/356202.html>, /University of Göttingen/, Göttingen, Germany * Georg Martius <https://is.tuebingen.mpg.de/person/gmartius>, /M//PI//for Intelligent Systems/, Tübingen, Germany The consecutive two day thematic blocks are dedicated to mathematical approaches to circuit dynamics. Each lecturer will give a self-contained introduction to a particular set of theoretical tools in a block of two morning lectures. In the afternoon, participants will work on problem sets designed to develop proficiency in both the mathematical and computational tools learned earlier that day. An additional set of evening ‘easy’ lectures will give the opportunity to discuss significant advances in the field. The course takes place at the Department of Nonlinear Dynamics of the Max-Planck Institute for Dynamics and Self-Organization, Göttingen. Registration fee is 200 €. Course language is English. Housing is provided by the school. Travel grants can be applied for. *Only 15 participants will accepted. We invite applicants to apply by filling out the application form at:* *www.bccn-goettingen.de* <http://www.bccn-goettingen.de/events/cns-course> *and have their reference letters submitted by *July 23, 2017*.* Best regards and looking forward to seeing you in Göttingen, B. Feulner, D. Regel, A. Schmidt and J. Wilting (local committee, PhD students) on behalf of the course directors Prof. F. Wolf and Prof. A. Schacht

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New Book: The Rewiring Brain
by Arjen van Ooyen July 6, 2017

July 6, 2017

Dear colleagues, We would like to draw your attention to our recently published book: *The Rewiring Brain: A Computational Approach to Structural Plasticity in the Adult Brain*, van Ooyen, A, and Butz-Ostendorf, M, eds, Academic Press, June 2017. For more information (preview) and to order the book, go to https://www.elsevier.com/books/the-rewiring-brain/van- ooyen/978-0-12-803784-3 Also see https://anvooyen.home.xs4all.nl/papers/TheRewiringBrain.html *Description* The adult brain is not as hard-wired as traditionally thought. By modifying their small- or large-scale morphology, neurons can make new synaptic connections or break existing ones (structural plasticity). Structural changes accompany memory formation and learning, and are induced by neurogenesis, neurodegeneration and brain injury such as stroke. Exploring the role of structural plasticity in the brain can be greatly assisted by mathematical and computational models, as they enable us to bridge the gap between system-level dynamics and lower level cellular and molecular processes. However, most traditional neural network models have fixed neuronal morphologies and a static connectivity pattern, with plasticity merely arising from changes in the strength of existing synapses (synaptic plasticity). In *The Rewiring Brain*, the editors bring together, for the first time, contemporary modeling studies that investigate the implications of structural plasticity for brain function and pathology. Starting with an experimental background on structural plasticity in the adult brain, the book covers computational studies on homeostatic structural plasticity, the impact of structural plasticity on cognition and cortical connectivity, the interaction between synaptic and structural plasticity, neurogenesis-related structural plasticity, and structural plasticity in neurological disorders. Structural plasticity adds a whole new dimension to brain plasticity, and *The Rewiring Brain* shows how computational approaches may help to gain a better understanding of the full adaptive potential of the adult brain. The book is written for both computational and experimental neuroscientists. Key features: · Reviews the current state of knowledge of structural plasticity in the adult brain. · Gives a comprehensive overview of computational studies on structural plasticity · Provides insights into the potential driving forces of structural plasticity and the functional implications of structural plasticity for learning and memory · Serves as inspiration for developing novel treatment strategies for stimulating functional repair after brain damage *Book Contents* Editorial *Arjen van Ooyen and Markus Butz-Ostendorf* Section I. Experimental background 1. Structural plasticity and cortical connectivity *Vassilis Kehayas and Anthony Holtmaat* 2. Structural plasticity induced by adult neurogenesis *Gregory W. Kirschen, Kurt A. Sailor, and Shaoyu Ge* 3. Structural neural plasticity during stroke recovery *Kimberly Gerrow and Craig E. Brown* 4. Is lesion-induced synaptic rewiring driven by activity homeostasis? *Markus Butz-Ostendorf and Arjen van Ooyen* Section II. Homeostatic structural plasticity 5. Network formation through activity-dependent neurite outgrowth: a review of a simple model of homeostatic structural plasticity *Arjen van Ooyen* 6. Clustered arrangement of inhibitory neurons can lead to oscillatory dynamics in a model of activity-dependent structural plasticity *Rosanna C. Barnard, Istvan Z. Kiss, Simon F. Farmer, and Luc Berthouze* 7. A detailed model of homeostatic structural plasticity based on dendritic spine and axonal bouton dynamic *s**Markus Butz-Ostendorf and Arjen van Ooyen* 8. Critical periods emerge from homeostatic structural plasticity in a full-scale model of the developing cortical column *Sebastian Rinke, Mikael Naveau, Felix Wolf and Markus Butz-Ostendorf* 9. Lesion-induced dendritic remodeling as a new mechanism of homeostatic structural plasticity in the adult brain *Steffen Platschek, Hermann Cuntz, Thomas Deller, and Peter Jedlicka* Section III. Structural plasticity and connectivity 10. The role of structural plasticity in producing nonrandom neural connectivity *Paul Miller* 11. Structural plasticity and the generation of bidirectional connectivity *Daniel Miner, Felix Z. Hoffmann, Florence Kleberg, and Jochen Triesch* 12. Spike timing-dependent structural plasticity of multicontact synaptic connections *Moritz Deger* 13. Selection of synaptic connections by wiring plasticity for robust learning by synaptic weight plasticity *Naoki Hiratani and Tomoki Fukai* Section IV. Structural plasticity and learning and memory 14. Within a spine's reach *Will DeBello and Karen Zito* 15. Impact of structural plasticity on memory capacity *Panagiotis Bozelos and Panayiota Poirazi* 16. Long-term information storage by the interaction of synaptic and structural plasticity *Michael Fauth, Florentin Wörgötter, and Christian Tetzlaff* 17. Impact of structural plasticity on memory formation and decline *Andreas Knoblauch* Section V. Neurogenesis-related structural plasticity 18. Adult neurogenesis and synaptic rewiring in the hippocampal dentate gyrus *Arjen van Ooyen, Gertraud Teuchert-Noodt, Keren Grafen, and Markus Butz-Ostendorf* 19. Modifications in network structure and excitability may drive differential activity dependent integration of granule cells into dentate gyrus circuits during normal and pathological adult neurogenesis *Quinton Skilling, James Roach, Alison L. Althaus, Geoffrey G. Murphy, Leonard Sander, and Michal Zochowski* 20. Computational perspectives on adult neurogenesis *Kristofor D. Carlson, Fredrick Rothganger, and James B. Aimone* 21. Restricted boltzmann machine models of hippocampal coding and neurogenesis *Rory Finnegan, Mark Shaw, and Suzanna Becker* Section VI. Structural plasticity and pathology 22. Modeling the impact of lesions in the brain *Sol Lim, Frances Hutchings, and Marcus Kaiser* 23. Network models of epilepsy-related pathological structural and functional alterations in the dentate gyrus *Ivan Raikov, Mark Plitt, and Ivan Soltesz* 24. Computational models of stroke recovery *Vittorio Sanguineti* 25. Neural plasticity in human brain connectivity: the effects of deep brain stimulation *Tim J. van Hartevelt, Henrique M. Fernandes, Angus B. A. Stevner, Gustavo Deco, and Morten L. Kringelbach*

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CFP - HAI 2017 Workshop: Representation Learning for Human and Robot Cognition
by Amir Aly July 5, 2017

July 5, 2017

CALL FOR PAPERS **Apologies for cross posting ** The full day workshop: "*Representation Learning for Human and Robot Cognition*" In conjunction with the *5th International Conference on Human-Agent Interaction* *- Bielefeld - Germany - October * *17th, 2017* *Webpage: **http://cognitive-mirroring.org/en/events/hai2017_workshop/* <http://cognitive-mirroring.org/en/events/hai2017_workshop/> *I. Aim and Scope *Creating intelligent and interactive robots has been subject to extensive research studies. They are rapidly moving to the center of human environments so that they collaborate with human users in different applications, which requires high-level cognitive functions so as to allow them to understand and learn from human behavior. To this end, an important challenge that attracts much attention in cognitive science and artificial intelligence, is the “Symbol Emergence” problem, which investigates the bottom-up development of symbols through social interaction. This research line employs representation learning based models for understanding language and action in a developmentally plausible manner so as to make robots able to behave appropriately on their own. This could open the door to robots to understand syntactic formalisms and semantic references of human speech, and to associate language knowledge to perceptual knowledge so as to successfully collaborate with human users in space. Another interesting approach to study representation learning is “Cognitive Mirroring”, which refers to artificial systems that could make cognitive processes observable, such as the models that could learn concepts of objects, actions, and/or emotions from humans through interaction. A key idea of this approach is that robots learn individual characteristics of human cognition rather than acquiring a general representation of cognition. In this way, the characteristics of human cognition become observable and can be measured as modifications in model parameters, which is difficult to verify through neuroscience studies only. In this workshop, we invite researchers in artificial intelligence, cognitive science, cognitive robotics, and neuroscience to share their knowledge and research findings on representation learning, and to engage in cutting-edge discussions with other experienced researchers so as to help promoting this research line in the Human-Agent Interaction (HAI) community. *II. Keynote Speakers * 1. *Beata Joanna Grzyb *– Radboud University – The Netherlands 2. *Thomas Hermann*– Bielefeld University – Germany 3. *Tetsuya Ogata *– Waseda University – Japan 4. *Erhan Oztop *– Ozyegin Universiy – Turkey 5. * Stefan Wermter *– University of Hamburg – Germany *III. Submission * 1. For paper submission, use the following EasyChair web link: *Paper Submission <https://easychair.org/conferences/?conf=rlhrc2017>*. 2. Use the ACM SIGCHI format: *ACM SIGCHI Templates <http://www.sigchi.org/publications/chipubform>*. 3. Submitted papers should be limited to 2-4 pages maximum. The primary list of topics covers the following points (but not limited to): - Computational model for high-level cognitive capabilities - Predictive learning from sensorimotor information - Multimodal interaction and concept formulation - Human-robot communication and collaboration based on machine learning - Learning supported by external trainers by demonstration and imitation - Bayesian modeling - Learning with hierarchical and deep architectures - Interactive reinforcement learning * IV. Important Dates * 1. Paper submission: *01-September-2017* 2. Notification of acceptance: *15-September-2017* 3. Camera-ready version: *30-September-2017* 4. Workshop: *17-October-2017* *V. Organizers * 1. *Takato Horii *– Osaka University – Japan 2. *Amir Aly *– Ritsumeikan University – Japan 3. *Yukie Nagai *– National Institute of Information and Communications Technology – Japan 4. * Takayuki Nagai *– The University of Electro-Communications – Japan -- *Amir Aly, Ph.D.* Senior Researcher Emergent Systems Laboratory College of Information Science and Engineering Ritsumeikan University 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan

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TECHNE AHRC Funded PhD Studentship: "Using Depth of Field to Guide Attention and Convey Narrative Structure"
by Durant, Szonya July 5, 2017

July 5, 2017

TECHNE AHRC Funded PhD Studentship: "Using Depth of Field to Guide Attention and Convey Narrative Structure" Royal Holloway, University of London - The Department of Psychology and the Department of Media Arts Qualification type: PhD Location: London, Egham Funding for: UK Students, EU Students Funding amount: £16,553 plus fees at Home/EU rate. Closes: 1st August 2017 Supervisors: Dr Szonya Durant (Dept. of Psychology) and Mr Adam Ganz (Dept. of Media Arts). Applications are invited for a National Productivity Investment Fund PhD studentship funded by the Arts and Humanities Research Council starting in October 2017. The studentship includes a stipend of £16,553 (plus fees at home/EU rates) for three years. There is an additional NPIF £550 per year to facilitate engagement with the Partner, and students can apply for an additional six months stipend to engage in extended development activities such as work placements. As a TECHNE student, the person selected will have full access to the TECHNE Doctoral Training Partnership development activities and networking opportunities, joining a cohort of about 50 students per year from across seven universities in London and the south-east. See www.techne.ac.uk<http://www.techne.ac.uk/>. TECHNE students can apply for additional funding to support individual or group training and development activities. This interdisciplinary PhD project draws on the fields of sensory neuroscience, in particular, the experimental study of eye movements and film and media studies, and in particular the study of visual perception, narrative comprehension, and affective response in relation to film editing. The novelty of the proposed interdisciplinary approach promises to yield original insights that will expand the knowledge and understanding in both disciplines. It expands the new discipline of psychocinematics by looking at how audiences perceive (and thus how filmmakers can use) a new element of film grammar - the ability to vary depth of field within in a shot which has been developed by our industrial partner Cinefade. The primary PhD supervisor is based in the Department of Psychology, which has an active and expanding postgraduate research community, is well-equipped for research. It was ranked 6th out of 82 UK Psychology Departments in the 2014 Research Excellence Framework (REF), with 93% of our research classified as world-leading or internationally excellent. Research in the department spans a breadth of topics across psychological sciences and neuroscience and is supported by excellent facilities - further information on the research environment can be found here<https://www.royalholloway.ac.uk/psychology/home.aspx>. The second supervisor is based in the Media Arts Department, a top 10 REF department led by award-winning world-class experts and leading industry practitioners, which provides a professional working environment for the development of media practice skills and creativity. Both departments are situated on our beautiful Egham campus close to London. Applicants should ideally hold, or be predicted to achieve, a first class undergraduate degree or equivalent in Psychology, Media Arts, or related disciplines (minimum requirement: 2.1). An MSc in a psychology- or cinematography-related subject is desirable but not essential. The ideal candidate will have strong skills in experimental design and statistical analysis, and some experience of lens-based media, film editing, computer programming, and eye tracking would be advantageous. The project will involve a 6 months placement working with CineFade Ltd which will involve trips to various UK locations to meetings with their clients. Applicants must meet the RCUK residency requirements as described in paragraphs 43-46 of the 'Conditions of Research Council Training Grants<http://www.rcuk.ac.uk/documents/documents/termsconditionstraininggrants-pdf/>' and comply with conditions set out in the AHRC Training Grant Funding Guide<http://www.ahrc.ac.uk/skills/phdstudents/currentawardholders/>. Informal enquiries about the project should be directed to szonya.durant(a)rhul.ac.uk<mailto:szonya.durant@rhul.ac.uk> or adam.ganz(a)rhul.ac.uk<mailto:adam.ganz@rhul.ac.uk>. Full details on how to make an application are shown on our Departmental Website<https://www.royalholloway.ac.uk/psychology/prospectivestudents/postgraduate…> (select "tab 2 - Research Council UK Funded Studentships") and in the College Webpages<https://www.royalholloway.ac.uk/studyhere/researchdegrees/applying/applicat…>. For further details on the application process please contact Sharon Clutterbuck (psyoffice(a)rhul.ac.uk<mailto:psyoffice@rhul.ac.uk>). Closing date: 5pm on Tuesday 1st August 2017. Interview dates: 7-18 August (can be flexible around existing commitments). Szonya Durant Department of Psychology Royal Holloway, University of London Egham TW20 0EX 01784 276522

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Bernstein Conference 2017 in Göttingen - early room booking strongly recommended !
by Kerstin Schwarzwaelder July 4, 2017

July 4, 2017

Dear colleagues, Please let me remind you that the number of available accommodation for the Bernstein Conference 2017 in Göttingen is very limited due to several concurrent events. Thus, we strongly recommend early room booking! Many Hotels in Göttingen are already booked out for that week! The local organizers of the Bernstein Conference arranged for room contingents in a variety of hotels that you may book by yourself by email or phone. Please follow the instructions at the Accommodations Website (www.nncn.de/de/bernstein-conference/2017/venue/accommodation<http://www.nncn.de/de/bernstein-conference/2017/venue/accommodation>). We would like to emphasize that these room contingents will be held open up to different expiration dates depending on the hotel (or until they are filled). Many expiration dates were already mid of June 2017. We strongly encourage participants to share rooms and to book rooms as a group. We emphasize that it will be very difficult to book accommodation beyond the expiration dates. Please find a list of the hotels at the Accommodations Website of the Bernstein Conference. Dates of the Bernstein Conference 2017: ************************************************************** Satellite Workshops September 12-13, 2017 Main Conference September 13-15, 2017 PhD Symposium September 12 & 15, 2017 ************************************************************** Venue of the Bernstein Conference 2017: ************************************************************** The Central Lecture Hall (Zentrales Hörsaal Gebäude, ZHG) Platz der Göttinger Sieben 5 37073 Göttingen, Germany ************************************************************** Website of the Bernstein Conference 2017: ************************************************************** www.bernstein-conference.de<http://www.bernstein-conference.de> ************************************************************** Best regards, Kerstin Schwarzwälder -- Dr. Kerstin Schwarzwälder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder(a)fz-juelich.de<mailto:k.schwarzwaelder@fz-juelich.de> web: www.nncn.de<http://www.nncn.de> Twitter: NNCN_Germany<https://twitter.com/NNCN_Germany> YouTube: Bernstein TV<https://www.youtube.com/user/BernsteinNetwork> Facebook: Bernstein Network Computational Neuroscience, Germany<https://www.facebook.com/BernsteinNetwork/> LinkedIn: Bernstein Network Computational Neuroscience, Germany<https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> <https://www.linkedin.com/company/bernstein-network-computational-neuroscien…> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher 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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Research positions in Neuromorphic computing in Singapore
by Yansong Chua July 4, 2017

July 4, 2017

Multiple scientist and engineer positions are open for a 4-year neuromorphic program in Singapore, at the Institute for Infocomm Research (I2R), A*STAR. The program is a multi-disciplinary effort, that straddles across the hardware (neuromorphic chip with RRAM, on-chip learning), middleware (emulator) and software (learning algorithms), and we aim to develop a demonstrating application system at end of the program. The program hence presents an unique research opportunity for candidates hoping to build a complete neuromorphic learning system. We are now in the early stages of the program and are actively recruiting talented scientists who would be excited to work on any aspects of the program (hardware, middleware, software and system integration). Multiple top-ranked universities and research institutes in Singapore (NUS, NTU, IME, IHPC, I2R) are working on the program. The work package I am in-charge of is primarily involved in the design of better algorithms for spiking neural networks. To this end, successful candidates will conduct research in one or more of the following areas: - Neuronal encoding: how to better encode external stimuli into spike based representations to facilitate decoding with high fidelity and also better learning performance (in terms of accuracy and power efficiency). - Supervised learning: given that spiking neural networks are asynchronous and sparse in their activities, the design of supervised learning algorithms that can fully capitalize on these properties becomes critical. - Mapping of state-of-art deep learning networks to spiking networks. Neuromorphic learning algorithms are still solving fairly simple problems compared to deep learning. For this, we would like to systematically borrow from the deep learning community networks and learning algorithms that can quickly boost the capabilities of spiking neural networks. - Unsupervised learning. STDP is well suited for unsupervised learning in spiking neural networks, and we would like to further advance STDP learning in spiking neural networks (both theory and applications). Preference will be given to candidates who can document knowledge in deep learning, spiking neural networks or signal processing (with interest in spiking neural networks). Candidates must have a PhD (for scientists) or MS/BS (for engineers) in computer science, computational neuroscience or related fields. Strong programming and quantitative skills are highly desired. Candidates should be proficient in spoken and written English. The appointment will be for 3 years, and extended for another 1 year, after review. Salaries are commensurate with internationally-competitive salaries and benefits. The start date is flexible and applications will be considered on a rolling basis until the positions are filled. Other benefits include: - Funding for international conferences and training courses - Collaboration opportunities with an excellent network of international scientists Candidates please send your curriculum vitae, a statement of research interests and three references to Dr. Yansong Chua (chuays(a)i2r.a-star.edu.sg ).

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Computer scientist or Scientific programmer in the Department of Neural Systems and Coding
by Friedrich Kretschmer July 3, 2017

July 3, 2017

Computer scientist or Scientific programmer The Max Planck Institute for Brain Research <https://www.mpg.de/151405/hirnforschung?section=all> in Frankfurt am Main, Germany, is an innovative and growing research facility of the Max Planck Society for the Advancement of Science. The Department of Neural Systems and Coding <https://brain.mpg.de/research/laurent-department.html> (Prof. Dr. Dr. Gilles Laurent) is part of the interdisciplinary neuroscience campus in Frankfurt/Riedberg where the new MPI building is located. Research in the Department aims to understand the physiology of perception with an experimental focus centered on neural computation, neuronal coding and integration. To support our international team of biologists, computer scientists and physicists, we invite applications for a full time staff position as Computer scientist or Scientific programmer, starting as soon as possible, initially with a fixed-term contract for two years. Your profile & our requirements We seek a self-driven and interactive individual with the following skill set: * advanced programming skills and strong understanding of OOP concepts * strong experience working with MATLAB or Python. * proficient understanding of code versioning tools * practical knowledge of best coding practices * experience with management, storage and access of large datasets * cross platform development for Windows, Mac OS X and Linux platforms. Applicants should be familiar with a scientific environment. Knowledge of computational neuroscience and practice in other programming languages (C, C++, R), as well as computer vision, image processing, object recognition, automatic processing and control of behavioral experiments would be of advantage. Candidates are expected to hold a degree in a quantitative field involving computational work, such as computer science, physics, applied math, electrical engineering or comparable research experience. Graduate work at Masters or PhD level (science exposure) is a plus. Our offer We offer a competitive salary based on the collective wage agreement for government service wWorkers (TVöD Bund) depending on qualifications and professional experience as well as various fringe benefits in accordance with public service provisions. You can expect an interesting, responsible and varied job in a young, international and interdisciplinary team. Your application The Max Planck Society is an equal opportunity employer and is striving to increase the proportion of women in areas where they are under-represented. It therefore expressly encourages female applicants. The Max Planck Society is striving to employ more individuals with disabilities. It therefore expressly encourages applicants with disabilities. Please submit your application (in English, single PDF file) by email (HR(a)brain.mpg.de <mailto:HR@brain.mpg.de>) until *July 31, 2017* to Max Planck Institute for Brain Research -Human Resources- Max-von-Laue-Str. 4 60438 Frankfurt am Main Germany

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Neuroinformatics 2017 in Kuala Lumpur!
by congress July 3, 2017

July 3, 2017

Dear all, It is high time to register for Neuroinformatics 2017, August 20-21, in Kuala Lumpur! See full program and speakers here: *http://neuroinformatics2017.org/program/* <http://neuroinformatics2017.org/program/> *Register by July 15th to get early bird registration rates: * *http://neuroinformatics2017.org/register/ <http://neuroinformatics2017.org/register/>* The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* <http://neuroinformatics2017.org/> Please spread this information to anyone you feel might be interested in attending! *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org <http://www.incf.org/>* *We look forward to seeing you in Kuala Lumpur!* Best Regards INCF Secretariat

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PhD position in Theoretical Neuroscience/Nonlinear Dynamics - Ile De France (Paris)
by A. Torcini July 2, 2017

July 2, 2017

More details here: https://www.dropbox.com/s/nowtt4cb3d69xfi/project_phd.pdf?dl=0 Title of the PhD project: Exact Reduction of Multiscale Neural Dynamics Goal: PhD grant without teaching duties, 3 years, fully funded, 1400 euros/month (with teaching duties in french the salary can increase to 1600 euros/month) When: starting from 1st October 2017 Keywords: Dynamics of neural networks; Mean field analysis; Microscopic and Macroscopic statistical analysis; Linear and nonlinear instabilities; Lyapunov exponents Where: The candidate will be based at the Universite' de Cergy-Pontoise, Laboratoire de Physique Théorique et Modélisation in Cergy-Pontoise, Ile de France (France) under the supervision of Prof Alessandro Torcini and with the co-supervision of Dr. E. Montbrió at the Center for Brain and Cognition, Pompeu Fabra University (Barcelona, Spain). Required titles/skills: - Master Title (M2) in Theoretical Physics or in Appled Mathematics or in related subjects - Strong knowlegde of statistical mechanics, nonlinear dynamics, applied mathematics - Strong ability to program in Fortran or in C language - Knowledge in computational neuroscience - Interest for multidisciplinary research - Ability to turn smoothly autonomous, once the road has been set - Programming with Matlab and/or Python - French is not a requirement if fluent in English, but willingness to learn would be beneficial How to apply and more details can be downloaded here: https://www.dropbox.com/s/nowtt4cb3d69xfi/project_phd.pdf?dl=0 Funding: The project is funded by the Initiative of Excellence Paris Seine, within the programme of the French Government "Investissemensts d'Avenir "

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