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Onsite interviews at SfN for Neural Data Analytics - Post Docs, Staff Scientists and Electrical Engineers
by Platt, Jo Ann Oct. 24, 2016

Oct. 24, 2016

Join our team to revolutionize medicine. The Center for Bioelectronic Medicine at the Feinstein Institute for Medical Research is conducting interviews at the 2016 Neuroscience Meeting in San Diego for multiple positions in the fields of machine learning, neural engineering, neural decoding and data analytics, microfabrication, bioelectronics and biosensing, and neurophysiology. Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over molecular, cellular and organ functions of the body, the parts of the brain that regulate those nerves, and the signals that the brain receives to monitor cell and organ function. The candidates will work on projects involving development of novel signal processing and machine learning methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves, reinforcement learning approaches used to optimize neural stimulation, techniques to directionally transmit or receive neural signals and numerical and biophysical modeling of neural circuits. Submit your resume to japlatt(a)northwell.edu for consideration and to arrange an onsite interview. Jo Ann Platt The Feinstein Institute for Medical Research Cell: (415) 265-0441 350 Community Drive Manhasset, NY 11030 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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NIH BRAIN THEORIES--POSTDOCTORAL POSITION
by Stephen Jose Hanson Oct. 24, 2016

Oct. 24, 2016

NIH Post-doctoral Fellowship in BRAIN Initiative: Theories, Models and Methods for Analysis of Complex Data from the Brain Applications for an NIH-funded post-doctoral position are invited for the Laboratory of Dr. Stephen José Hanson’s in the Department of Psychology and in RUBIC (Rutgers Brain Imaging Center) at Rutgers University, Newark, N.J. USA. The focus of research and training is in the area of computational neuroscience, and the development of brain network models based on graphical model selection using dynamical search procedures and the modeling of brain signals arising from neuroimaging data (e.g. fMRI). These projects will be performed in the lab of Dr. Hanson and in conjunction with Dr. Glymour’s (CMU) causal discovery research group. The ideal candidate will have a strong background in computation, statistics, probability theory, multivariate analysis and signal processing. Programming skill sets ( e.g., C++, R, Matlab, Debian, python) would be key to a successful candidate. Additionally, having background in neuroscience, neuroimaging or brain science more generally would be important to a successful application. This is a 2 year position with a 3 rd year possible. Starting date is flexible and with earliest start by December 1. Applications will be accepted until a candidate is hired. Inquiries should be addressed to Stephen José Hanson (jose(a)rubic.rutger s.edu). Please also send applications including a CV, statement of research interests, and the names and full contact details of three referees to jose(a)rubic.rutgers.edu. Relevant publications include: Ramsey J., Hanson S.J. Hanson C., Halchenko Y.O., Poldrack R.A., & Glymour C. (2010). Six problems for causal inference from fMRI. Neuroimage, 49, 1545-1558. Hanson, C., Hanson, S.J., Ramsey, J. & Glymour, C. (2013) Atypical effective connectivity of social brain networks in individuals with autism. J. Brain Connect. 3(6):578-89. Hanson, S. J. & Halchenko, Y. O. (2008). Brain reading using full brain support vector machines for object recognition: there is no face- identification area. Neural Computation, 20, 486-503 Poldrack, R.A., Halchenko, Y., & Hanson, S.J. (2010). Decoding the large-scale structure of brain function by classifying mental states across individuals. Psychological Science, 20, 1364-1372 Ramsey, J., Glymour, M., Sanchez-Romero, R. and Glymour, C. (in Press) A million variables and more: The fa st greedy search algorithm for learning high dimensional graphical causal models, with an application to functional magnetic resonance images. International Journal of Data Science and Analytics. Rutgers is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.

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PhD position in Oxford
by Rafal Bogacz Oct. 24, 2016

Oct. 24, 2016

Dear Colleagues, Applications are invited from UK or EU residents for doctoral studies in computational neuroscience, to start in October 2017. The project will be supervised by Rafal Bogacz and will be carried out within the interdisciplinary team of the MRC Brain Network Dynamics Unit. The research can focus on areas investigated by Rafal Bogacz's Group, including: - models of decision making in the basal ganglia - optimising deep brain stimulation - predictive coding models of the cortex Candidates must have a very strong mathematical or computational background and an excellent undergraduate degree in a relevant discipline (e.g. computer science, engineering, mathematics, physics or neuroscience). An undergraduate 1st class or upper 2nd class degree (or equivalent grade) is required for graduate entry into Oxford. The minimum standards for English apply for applicants. This PhD (DPhil) studentship is funded by the Medical Research Council. To be eligible for a full award (stipend in addition to university/college fees) a student must have settled status in the UK, and must have been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. For further details about student eligibility requirements for full and fees-only awards, please see: http://www.mrc.ac.uk/skills-careers/studentships/studentship-guidance/stude… Formal applications must be made via the University online application system. The relevant course code is: Doctor of Philosophy in Clinical Neurosciences – RD_CU1. In the covering letter, please describe the research you would like to conduct and clarify how your experience and skills would help you in that work. The closing date for applications is 12.00 noon on Friday 13th January 2017. Best wishes, Rafal

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Postdoctoral position in theoretical neuroscience - machine learning (RIKEN-BSI Japan)
by Andrea Benucci Oct. 19, 2016

Oct. 19, 2016

RIKEN Brain Science Institute - Japan Laboratory for Neural Circuits and Behavior www.benuccilab.net (Laboratory Head: Andrea Benucci) Research field Our laboratory studies the neural basis of sensory processing and decision-making in mice trained in behavioral tasks. We do so using a combination of computational and experimental approaches (electrophysiology, fluorescence imaging, and optogenetics). Job title and description: Postdoctoral positions The project will focus on using theoretical approaches based on machine learning (specifically on RNN) to capture key computational aspects of cortical processing in large neuronal populations. This work will be done in close collaboration with experimentalists to jointly design new experimental paradigms based on the theoretical simulations. Qualifications We seek exceptional candidates with a strong computational background, especially in the field of recurrent neural network simulations. Candidates should have a Ph.D. in a relevant field (e.g., Computational Neuroscience, Computer Science, Math, Physics). Proficiency in programming (e.g., MATLAB, C++) is necessary. The ideal candidate will be interested in engaging in experimental work as well. Work location The Neural Circuits and Behavior Team is located at RIKEN Brain Science Institute, Wako, Saitama, Japan. The institute is about 15 min away from the main Tokyo metropolitan area by train. Salary and benefits This is a funded position but applicants are strongly encouraged to apply for external funds. The employment contract is renewable on a yearly basis based on performance evaluation up to seven years from the start date. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Free, mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai) will be provided. These and other provisions are in accordance with RIKEN regulations. RIKEN is promoting a Gender Equity Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. http://www.riken.go.jp/en/careers/working-at-riken/benefits/ Application and required documents Interested applicants are encouraged to apply as soon as possible. Candidates should provide (1) cover letter, (2) CV and bibliography, (3) the names and contact information of three references (including the current supervisor, if available) with a brief description of your relationship to each reference. Send application to: andrea(a)benuccilab.net Selection process Applications will be reviewed as they are received. Shortlisted candidates will be invited to RIKEN-BSI for an in-person interview. --

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BrainModes conference - Brussels, Dec 1 and 2 - final call for abstracts
by Daniele Marinazzo Oct. 17, 2016

Oct. 17, 2016

Dear all Just a reminder and the final call for submitting an abstract for the poster presentation which will take place during the dinner at the BrainModes conference, that this year we will organize in Brussels, at the Royal Flemish Academy of Sciences (KVAB) on* Dec 1 and 2*. BrainModes (www.brainmodes.org) is an annual conference in which methods and models to interpret brain activity, and their applications are discussed. This year the theme will be: Coordinated brain activity: foundations and applications. We are proud of the lineup of speakers this year, including top experts in the field of computational, cognitive and clinical neuroscience. There will be also a workshop organized in Ghent on November 30 on methodological issues and demonstrations. The complete program, the info on registration, abstract submission and location are here http://www.da.ugent.be/brainmodes Please spread this information within your network of students and colleagues, and looking forward to see you. -- Daniele Marinazzo -- Department of Data Analysis Faculty of Psychology and Pedagogical Sciences, Ghent University Henri Dunantlaan 1, B-9000 Ghent, Belgium +32 (0) 9 264 6375 <http://www.da.ugent.be/>http://users.ugent.be/~dmarinaz/ https://twitter.com/dan_marinazzo BRAINMODES 2016 CONFERENCE http://www.da.ugent.be/brainmodes http://helpdesk.ugent.be/e-maildisclaimer.php

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Two postdoctoral positions at Kyoto U: Brain imaging and simulation
by Hidetoshi Urakubo Oct. 15, 2016

Oct. 15, 2016

Dear all, Integrated Systems Biology Lab at Kyoto U (Japan) invites applications for two post-doc positions. We look forward to your applications and recommendations. The full advertisement is available below. On behalf of Prof. Shin Ishii Hidetoshi Urakubo ============================================== Shin Ishii Lab, Dep Sys Sci, Grad Sch Info, Kyoto U Yoshida-Honmachi 36-1, Sakyo-ku, Kyoto 606-8501 Japan Phone: +81-75-753-4908 Fax: +81-75-753-4907 Email: urakubo-h(a)sys.i.kyoto-u.ac.jp ============================================== 1. Reconstruction and simulation of neural circuits in the brain We invite applications for a post-doc researcher in the areas of 3D image processing, computational neuroscience, and/or neurophysiology. A new collaborative project with U Tokyo has been launched for large-scale 3D imaging of neural networks and their reconstruction/simulation. Thus, the applicant will firstly analyze microscopic 3D images to identify biological neuronal networks in collaboration with Kasai-lab in U Tokyo (http://www.bm2.m.u-tokyo.ac.jp/english/index.html) The project is a part of “Synaptic optogenetics for memory structures”, which is founded by Japan Science and Technology Agency. 2. AI and brain simulation We are seeking a highly motivated post-doc researcher in artificial intelligence (including deep neural networks), brain simulation, and/or high performance computing (HPC). Join us in the "post peta-flops computing" project, a government funded project with the goal of using the K supercomputer and its successor to (1) develop HPC-based frameworks for large-scale neural image processing and to (2) build an innovative and large-scale artificial intelligence that mimics brain’s information processing. For both positions, basic qualifications include PhD in relevant fields with proven track record of peer-reviewed publications, as well as excellent verbal and written communication skills in English and/or Japanese. You will participate in the project with our tenure track and post-doc researchers from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and machine learning. Our laboratory is also collaborating on daily basis with Advanced Telecommunications Research Institute International (ATR), University of Tokyo, Okinawa institute of science and technology (OIST), RIKEN Brain Science Institute, and other international laboratories. [Job title and Job description] Title: Full-time Researcher / Full-time Research Engineer Begin Date: 1. April 1st 2017 (negotiable) 2. November 1st 2016 (negotiable) Location: Yoshida-Honmachi 36-1, Sakyo-Ku, Kyoto-city, Japan. 606-8501 Contract: Annually renewed based on evaluation. 1. Up to 5 years 2. Up to 3 years Salary: Commensurate with qualifications and experience. Based on Kyoto University’s provision for researchers. Benefits:　Standard social insurance, Days off (weekends, public holidays, End of the year and the New Year, Kyoto University Foundation Day, summer vacation), Sick leave Other miscellaneous provisions are in accordance with Kyoto U regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV (including technical skills [programming languages, platforms, systems, etc] and corresponding achievements that are relevant to our project) 2. List of publications 3. Reprints of 1 to 3 major publications 4. Document (one or two pages in A4 or letter size) describing: - Summary of your previous research - Interests and proposal for research 5. Two letters of recommendation (including one from the current supervisor, if available) [Selection process] Selection will be made based on application screening and interviews. [Requirements] Applicants must: - have Ph.D. (or be near the completion of the degree). - have strong motivations and ambitions to participate in the research above. [Number of openings] Two [Deadline for application] December 18th 2016 (will remain open if positions are not filled) [Application] Applications and/or any questions should be sent via mail or e-mail to: Integrated Systems Biology Laboratory (Shin Ishii-lab), Graduate School of Informatics, Engineering Bldg #1, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: kanae [at] sys.i.kyoto-u.ac.jp http://ishiilab.jp/kyoto/en/ Phone: +81-75-753-4908 Fax: +81-75-753-4907

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Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) (Closing Date 21 October)
by Steuber, Volker Oct. 14, 2016

Oct. 14, 2016

Lecturer/Senior Lecturer in Computer Science (Machine Learning / Biocomputation) School of Computer Science University of Hertfordshire, UK Salary £32,004 to £48,327 per annum depending on qualifications and experience Full time position working 37 hours per week (1.0 FTE) Closing date 21 October 2016 Applications are invited for a Lecturer or Senior Lecturer in the School of Computer Science, University of Hertfordshire. The successful candidate will be expected to contribute to the School's teaching and curriculum development activities, and to strengthen its research activities. We are looking to recruit specifically a computer scientist with background in machine learning or data science related to biocomputation (including computational neuroscience). By Data Science we broadly mean the extraction of meaning from large quantities of data. The successful candidate will also have the flexibility to teach across mainstream topics in computer science. The School has an international reputation for teaching and research, with 58 academic staff, 20 adjunct lecturer staff, and 65 research students and postdoctoral research staff. With a history going back to 1958, the School teaches one of the largest cohorts of undergraduate students in the UK, and also delivers a thriving online computer science degree programme. The person appointed will be expected to contribute to learning and teaching relevant to core computer science topics, participate in curriculum review and development, design and develop new modules, and supervise student projects at all levels. The appointee will strengthen the research culture in the School by pursuing research as part of a larger research team, seeking external funding, publishing papers, supervising research students, and participating in commercial activity as appropriate. Preference will be given to candidates who can contribute to teaching and research as outlined above. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English and the ability to teach at undergraduate and postgraduate level. It is desirable that candidates have a track record of publication, external research funding, collaboration across disciplines, experience of different types of assessment and higher education quality assurance. They should also have the ability to play a role in the routine running of the School of Computer Science. Applications should be made through http://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies (reference 014050). Informal enquiries may be addressed to Dr Volker Steuber (Head of the Biocomputation Research Group, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly to these email addresses will not be accepted. We are committed to providing a supportive environment. The university also provides an onsite childcare facility and child-centred holiday clubs. The University is required to meet UKVI visa regulations. Applicants who do not currently have the right to work in the UK will have to satisfy UKVI regulations before they can be appointed. ?

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High Performance Computing Workshop at SFN 2016
by Ted Carnevale Oct. 13, 2016

Oct. 13, 2016

A few seats remain available in the workshop Using the Neuroscience Gateway Portal (NSG) for Parallel Simulations Saturday, Nov. 12 from 9 AM to noon which we are presenting in downtown San Diego as a satellite to this year's SFN meeting. This workshop will show you how to use this NSF-supported resource in your computationally-intensive modeling and data analysis projects. It will also feature presentations from several research teams about how they are using NSG in their own research. The registration fee is $25, but if you have already signed up for the NEURON course on Friday, Nov. 11, you may register for the NSG workshop for only $15. For a description of the workshop and its application form, see http://www.neuron.yale.edu/neuron/static/courses/nsg2016/nsg2016.html The registration deadline is Friday Oct. 28. --Ted

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Postdoctoral researcher to study cause-effect power of neural systems across spatiotemporal scale
by Hill Sean Oct. 13, 2016

Oct. 13, 2016

Postdoctoral position in the Laboratory for the Neural Basis of Brain States Prof. Sean Hill, École Polytechnique Fédérale de Lausanne (EPFL) Campus Biotech, Geneva, Switzerland The Laboratory for the Neural Basis of Brain States (LNBBS), part of the Blue Brain Project, focuses on understanding cortical and thalamocortical structure and function and the relationship to states of the brain including wakefulness, sleep and anesthesia. LNBBS is part of the EPFL Blue Brain Project (BBP), a Swiss national brain initiative situated on the Campus Biotech in Geneva, Switzerland, applies advanced neuroinformatics, data analytics, high-performance computing infrastructure and simulation-based approaches to the challenge of understanding the structure and function of the mammalian brain in health and disease. A postdoctoral position is available in the laboratory of Prof. Sean Hill (EPFL, http://www.hill-lab.org : http://bluebrain.epfl.ch) in collaboration with the Prof. Giulio Tononi (Wisconsin Institute for Sleep and Consciousness, www.integratedinformationtheory.org ) to study cause-effect power of neural systems across spatiotemporal scales. Immediate funding is available for a project using the framework of integrated information theory [1] to study foundational questions regarding causation and emergence in a detailed model of a cortical column [2]. The model is a comprehensive, multi-scale digital reconstruction of rat somatosensory microcircuitry, consisting of over 31,000 biophysically detailed multi-compartment neurons with 55 layer-specific morphological and 207 morpho-electrical neuron subtypes. Causal properties are explored at micro scales and at multiple macro scales by black-boxing the model in various ways and applying measures of integrated information to the resulting macro level systems [1, 3]. Candidates are expected to have strong training in a discipline such as theoretical biology/neuroscience, physics, mathematics, computer science, or engineering. Experience in information theory, complex systems, and neural modelling software (e.g. Neuron, NEST) are a plus. Programming experience is required (knowledge of MATLAB, Python, and/or C++ is of advantage). Appointments are for an initial 1-year renewable contract, starting as soon as possible or until the position is filled. Candidates should send a CV, brief statement of previous research and future research interests, and email addresses and phone numbers of three references to: Sean Hill, (sean.hill(a)epfl.ch) For more information, contact Sean Hill (sean.hill(a)epfl.ch) or Giulio Tononi (gtononi(a)wisc.edu) [1] Tononi G, Boly M, Massimini M, and Koch C. Integrated information theory: from consciousness to its physical substrate. Nature Reviews Neuroscience (2016). [2] Markram et al. Reconstruction and Simulation of Neocortical Microcircuitry. Cell. 2015 Oct 8;163(2):456-92. doi: 10.1016/j.cell.2015.09.029. [3] Marshall W, Albantakis L, Tononi G (2016) Black-boxing and cause-effect power. arXiv:1608.03461 [q-bio.NC]

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Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital
by Stephanie Jones Oct. 12, 2016

Oct. 12, 2016

Hello, Can you please post the following ad to the compneuro mailing list? Thank you, Stephanie Two NIH BRAIN Initiative funded computational postdoctoral positions available: Brown University and Mass. General Hospital The field of neuroscience is experiencing unprecedented growth in the ability to record from and manipulate brain circuits in humans and in animal models. MEG/ EEG are the leading methods to non-invasively record human neural dynamics with millisecond temporal resolution. However, it is still extremely difficult to interpret the underlying cellular and circuit level generators of these ‘macro-scale’ signals without simultaneous invasive recordings. Supported by a BRAIN Initiative grant through NIH we have started a collaborative project between Brown University, Yale University and Massachusetts General Hospital (MGH) to develop and a new software tool for circuit level interpretation of human brain activity measured with MEG/EEG. We are hiring two post-docs to join our team. A three-year postdoctoral position at Brown University PI: Dr. Stephanie Jones contact: Stephanie_Jones(a)brown.edu A three-year postdoctoral position at Massachusetts General Hospital PI: Dr. Matti Hämäläinen contact: msh(a)nmr.mgh.harvard.edu The post-docs hired will work among a team of researcher at Brown University, MGH, and Yale University on the design and implementation of a user-friendly, GUI-driven, open-source model of neocortical circuitry for the interpretation of non-invasively measured human brain activity. The neural model will be integrated into existing source localization software (MNE-Python) so that researchers can study the location, time course, and neural mechanisms of their human brain imaging data all in one package. Additionally, the post-docs will work with several test case groups to apply the model in a variety of tasks and clinical conditions. Interested candidates must have experience in Python programming and software engineering. The postdoc at Brown will work more on the computational modeling aspect of the software while the post doc at MGH will concentrate on the integration of MEG/EEG source modeling with computational neural modeling. Candidates with knowledge in computational modeling using NEURON and/or source localization methods will be given preference. Please send a CV, statement of research interests, and three letters of recommendation to contact addresses listed above. ******************************************* Stephanie R. Jones, PhD Associate Research Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://www.brown.edu/research/labs/jones/

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