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Support for Two PhD Fellows in Bilbao, Caixa Fellowship, deadline 1st February

by Paolo Bonifazi

Dear colleagues La Caixa Foundation has published the call for International PhD fellowships within the program "INPhINIT". This call is providing excellent working conditions for excellent international students. More information at https://obrasociallacaixa.org/el/investigacion-y-becas/progr ama-de-becas-de-posgrado/inphinit/programme-description We will be supporting 2 applicants, one associated to the project “Machine Learning, Neurological Disorders and Brain Networks” supervised by Jesus M Cortes and the other associated to the project "Multi-scale epileptic networks: a longitudinal structural-functional study of human epileptic networks combining deep electrode recordings and MRI" supervised by Paolo Bonifazi. Applicants must have a background in Mathematics, Physics or Engineering. The student will work in the Computational Neuroimaging Lab in Biocruces (Bibao) focused on developing and applying brain connectivity methods in combination with machine learning (such as supervised and unsupervised classification), modeling (neuron or circuit levels) and imaging processing of different imaging modalities (such as magnetic resonance imaging or electroencepaholography). The student will interact with Engineers, Physicists and Clinical Researchers. Further details and readings: To study brain functioning and disfunctioning, the Computational Neuroimaging Laboratory in Biocruces (Bilbao) is focused on brain networks at the macroscale, thus affecting to the large-scale brain organization. While diffusion images provide information about structural connectivity, functional magnetic resonance imaging shed light on resting state functional connectivity. In this project, the student will work with different datasets, some of them publicly available, others acquired in our laboratory, covering different pathologies such as autism, patients in coma, epilepsy, patients with multiorganic failure, neurodegeneration such as Alzheimer’s disease or Parkinson and psychiatric disorders. https://www.frontiersin.org/articles/10.3389/fnagi.2017.00215/full http://www.mitpressjournals.org/doi/abs/10.1162/NETN_a_00007 https://www.frontiersin.org/articles/10.3389/fpsyg.2015.01024/full https://www.nature.com/articles/srep10532 Working conditions: 3-years contract, gross salary of about 26.000 euro - 28.000 euro per year, and an extra travelling and conference budget of about 3.500 euro per year. Applicant requirements: At recruitment date, candidates must have MSc degree and an English certification of minimum B2. In addition, candidates must not have residence in Spain longer than 12 months in the 3 years prior to recruitment date. Prof. Jesus M Cortes Ikerbasque Research Professor Head of the Laboratory of Computational Neuroimaging, Biocruces, Bilbao (Spain) Coordinator of the Quantitative Biomedicine Unit, Biocruces, Bilbao (Spain) Research Professor at the University of the Basque Country (Spain) http://www.jesuscortes.info Dr. Paolo Bonifazi Ikerbasque Tenure Track Professor Computational Neuroimaging Laboratory http://www.ikerbasque.net/es/paolo-bonifazi

Jan. 9, 2018

Postdoctoral position (Bayesian Computation) at QIMRB, Brisbane Australia

by Matthew Aburn

Bayesian Computation Research Fellow (full time 3 year appointment) - Cutting edge data science in the group of Prof Michael Breakspear - Attractive salary packaging & superannuation options This research fellow will develop new systems for model selection and model-based prediction, combining large data sets from patient neuroimaging and intracranial recordings with models of brain dynamics. *Responsibilities* - You will contribute to the design of methods for Bayesian inference on large data sets, to perform model selection, parameter estimation, data assimilation and prediction using forward models of brain dynamics. - Implement these methods on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research, including an application to diagnosis and treatment of epilepsy. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, statistics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; and evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in applying computational inference methods for example Sequential Monte Carlo, particle filters, MCMC, ensemble Kalman filters or variational Bayes; previous experience with GPU programming or high performance computing clusters; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 4 February 2018 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

Jan. 9, 2018

Postdoctoral position (Mathematical Neuroscience) at QIMRB, Brisbane Australia

by Matthew Aburn

Mathematical Neuroscience Research Fellow (full time 3 year appointment) - Innovative biomedical modelling in the group of Prof Michael Breakspear - Attractive salary packaging & superannuation options This research fellow will pursue large-scale computational modelling and simulation of brain activity, and innovative analyses of time series and neuroimaging data, with particular focus on epilepsy. *Responsibilities* - You will contribute to developing and analysing new mathematical models of large-scale brain activity, including biophysical models and networks of non-linear oscillators. - Simulate computational models on GPUs or high performance computing clusters, and collaborate in applying these to clinical and neuroscience research. - Perform innovative analyses of high-dimensional neurophysiological and neuroimaging data. - Contribute to experimental design and prepare manuscripts for related studies. - Participate in intra-mural group activities, including presentation at lab meetings and collaboration with other lab members and clinicians. *About you* Essential: The successful applicant will possess the following: PhD in mathematics, physics, bioengineering, computer sciences or related field; demonstrated ability to implement mathematical methods in code; evidence of strong oral and written communication skills. Desirable: Ideally candidates may also have a published track record in analysis of non-linear dynamical systems, particularly neural mass or neural field models or coupled non-linear oscillators; previous experience with GPU programming or high performance computing clusters; previous experience in neuroscience research; or expertise in time series analysis or signal processing. *About the lab* Led by Prof Michael Breakspear, the Systems Neuroscience Group (SNG) is an independent research team within QIMR Berghofer. The SNG is a multidisciplinary group who undertake innovative computational modelling and analysis of brain activity in health and disease. QIMR Berghofer is a world-leading translational medical research institute. Based in Brisbane, Australia and working in close collaboration with clinicians and other research institutes, QIMR Berghofer is home to more than 600 scientists, students and support staff. *Salary* Salary range is AUD $81,395-$84,257 per annum, plus up to 15.75% superannuation, and attractive salary packaging. This is a full time three year appointment. Closing date is 4 February 2018 Apply here: http://www.qimrberghofer.edu.au/careers/positions-vacant

Jan. 9, 2018

CNS*2018: Registration and Abstract Submission Open

by Sharon Crook

CNS*2018 Call for Abstracts Organization for Computational Neurosciences (OCNS) 27th Annual Meeting Seattle, USA, July 13-18 Local Organizers: Christof Koch, Adrienne Fairhall, Eric Shea-Brown The main meeting begins the evening of Friday July 13 and runs through Monday July 16. It will be preceded by a day of tutorials (Friday July 13) and followed by two days of workshops (Tuesday July 17 and Wednesday July 18). Invited Keynote Speakers: Eve Marder, Brandeis University Nancy Kopell, Boston University Daniel Wolpert, University of Cambridge Rajesh Rao, University of Washington Registration and abstract submission are open. Abstract submission deadline: March 5, 2018. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission is possible. In case the abstract is not accepted for presentation, the registration fee will be refunded. Abstract Submission: http://www.cnsorg.org/cns-2018-abstract-submission Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_243… Workshop proposals also are being accepted at: http://www.cnsorg.org/cns-2018-call-for-workshops For up-to-date conference information, please visit: http://www.cnsorg.org/cns-2018 ---------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org.

Jan. 8, 2018

Huawei AI Theory Lab Job Advert

by Biswa Sengupta

Huawei AI Theory Lab Job Advert Applications are invited for research internships as well as for research scientist positions to join Huawei Research and Development’s research arm (Noah’s Ark lab) in London (UK), Hong Kong, Shenzhen and Beijing. We are looking for candidates who have the skills and research experience to join a new research team to push the boundaries of pure mathematics, theoretical statistics (incl. parametric and non-parametric Bayesian statistics) and machine learning (incl. deep learning and reinforcement learning). A proven record of publications (in reputed conferences such as NIPS, COLT, UAI, ICML, AISTATS, JMLR, PAMI, and others) and prototyping skills in terms of developing algorithms, in any language, is essential. As an industry research laboratory, we pursue both theoretical and applied research, where one feeds into the other. Like academia, knowledge dissemination is through the publication of papers in reputed journals, conferences and workshops, as well as patents. We have current collaborations with world-renowned academic institutions; fostering such industry-academia partnerships is deemed an essential quality for research interns/scientists. The successful applicant will be based at our offices in London (UK), Hong Kong, Shenzhen and Beijing, and will be part of a successful R&D team comprising research scientists, research engineers and software developers. Qualifications, skills and other information: 0 Applicants for research scientists generally have a PhD degree and/or postdoctoral experience in computer science, engineering, statistics, mathematics, and allied disciplines. Research interns are PhD students1 Knowledge of Bayesian statistics2 Knowledge of reinforcement learning3 Knowledge of deep learning methodologies, such as convolutional and recurrent networks4 Technical familiarity with at least one of the following: Python, C/C++, Java, Scala, etc. Salary is commensurate to experience/skill-set. Email to send across CVs: noahlab(a)huawei.com, mentioning a preference for location (London (UK), Hong Kong, Shenzhen and Beijing). Please mention AI Theory Lab on your covering letter so that it is directed to the specific group. Research Internships: Please format subject line of the email as: AITheory_Name_RI_CurrentDegreeUniversity_currentlocationResearch scientists: Please format subject line of the email as: AITheory_Name_RS_CurrentPlaceofWork_currentlocation

Jan. 8, 2018

2 PostDoc positions in Computational Neuroscience at TU Berlin

by Sprekeler, Henning

Dear all, Applications are invited for two postdoc positions in computational neuroscience, in the lab of Henning Sprekeler at TU Berlin and the Bernstein Center for Computational Neuroscience. The research focus of the lab lies on synaptic plasticity, dynamics of neural systems, and functional consequences of inhibition. Your profile: - Strong interest in computational neuroscience - Excellent mathematical background and very good programming skills - Excellent command of English and good team spirit. Both positions are available immediately. The salary is commensurate with experience, but competitive enough for a decent life in Berlin. To apply, pease send a 1-page research statement, CV with publication list, and contact details for two references to cognition(a)tu-berlin.de<mailto:cognition@tu-berlin.de> (pdf only). Applications will be accepted until the positions are filled. For updates please check the lab website (http://www.cognition.tu-berlin.de/menue/jobs/) Best wishes, Henning Sprekeler --- Prof. Dr. Henning Sprekeler Modelling of cognitive processes Technische Universität Berlin & Bernstein Center for Computational Neuroscience Berlin Email: h.sprekeler(a)tu-berlin.de<mailto:h.sprekeler@tu-berlin.de> Phone: +49 (0)30 314 73557 Web: http://www.cognition.tu-berlin.de Address: Sekr. MAR 5-3 Marchstr. 23 10587 Berlin Germany

Jan. 8, 2018

Analysis of human intracranial recordings using integrated information: (up to) 3 year postdoc in Melbourne, Australia

by Naotsugu Tsuchiya

Postdoc position available (up to 3 years) at Monash Neuroscience of Consciousness (MoNoC), Monash University, Melbourne, Australia. We are seeking outstanding postdoctoral research fellows with strong skills in computational or mathematical neuroscience, whose research ambition is to identify the physical substrate of conscious experience. If you are successful, you will work in Tsuchiya's lab at Monash, on our two Australian Research Council (ARC) Discovery Project grants (2018-2020). Both projects will involve the analysis of intracranial neural recordings from multiple brain areas, which are simultaneously recorded, and conscious experience is also characterised. In one of the projects, you will develop mathematical tools and apply the tools to empirically test predictions from "integrated information theory of consciousness" (Tononi 2004 BMC, 2016 NRN). For the overall idea of the project, please see Haun et al 2017 eNeuro, Oizumi et al 2016 PLoS Comp & PNAS). You will work both independently and collaboratively with multiple PIs. Starting date is relatively flexible. Late-stage PhD students will be considered (only those with substantial publication records). If you are interested, please send your CV to Nao Tsuchiya <naotsugu.tsuchiya(a)monash.edu>. Strong candidates will be contacted through emails and interviews. Applications will be open until the ideal candidate is identified. Thank you Nao -- -- *Nao (Naotsugu) Tsuchiya* Associate Professor *Monash Institute of Cognitive and Clinical Neurosciences* Attention and Memory Program School of Psychological Sciences Monash University 770 Blackburn Monash Brain Imaging facility, Clayton, VIC 3800 Australia T: +61 3 9905 4564 <+61%203%209905%204564> E: naotsugu.tsuchiya(a)monash.edu W: homepage: http://users.monash.edu.au/~naotsugt/Tsuchiya_Labs_Homepage http://med.monash.edu.au/psych/email-sig/miccn-email-sig.jpg <http://www.monash.edu/neuro-institute/> 2. ARC Future Fellow 3. Visiting Researcher at Department of Dynamic Brain Imaging, Advanced Telecommunications Research (ATR), Japan 4. Visiting Researcher at CiNet, Osaka University, Japan orcid.org/0000-0003-4216-8701

Jan. 6, 2018

Postdoc at University of Leicester, UK

by Quian Quiroga, Rodrigo (Prof.)

We are looking for a postdoc at the Centre for Systems Neuroscience at the University of Leicester, UK. The candidate will work on the analysis and recording of neurophysiology data as part of the research activities of the Centre for Systems Neuroscience (www.le.ac.uk/csn) The project will investigate concept representations in the mice hippocampus, analogous to the type of concept representations we have described in the human hippocampus – what are known as concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (see e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga Nature Reviews Neuroscience 2012; Quian Quiroga et al, Scientific American 2013). The successful candidate will contribute to the recording and, particularly, the analysis of the 2-photon imaging and electrophysiology data collected in head fixed mice performing tasks in a virtual reality setup. The synergy between the human and mice recordings aims at gaining a deeper understanding of type of neural representations used by different species for memory processes. The candidate will not only contribute to the collection and analysis of the data but also to the development and optimization of advance methods for its analysis. The candidate should have, or be close to completing, a PhD in an area related to Neuroscience or signal processing (physics, mathematics, engineering, computer sciences). She/He will also have excellent programming skills, particularly in Matlab, a very good background on signal processing and, ideally, experience in neurophysiology recordings. Informal enquiries are welcome and should be made to Prof. Rodrigo Quian Quiroga (rqqg1(a)le.ac.uk) To apply and for more details see: https://ig5.i-grasp.com/fe/tpl_UniversityOfLeicester01.asp?newms=jj&id=1015… Please add a statement of research interests in your cover letter. The closing date for applications is: 25th January 2018. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester www.le.ac.uk/csn

Jan. 6, 2018

Call for Applications - 2018 Nengo Summer School

by Peter Blouw

[All details about this school can be found online at https://www.nengo.ai/summerschool] The Centre for Theoretical Neuroscience at the University of Waterloo is excited to announce a special version of our annual Nengo summer school that will host the* first public access* to *Braindrop*, a new mixed analog-digital neuromorphic chip developed in collaboration with Stanford and Yale. In addition to introducing Braindrop, this two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [1]. Nengo is also being used to program a variety of state-of-the-art neuromorphic chips, including Braindrop! For a look at last year's summer school, check out this short video: https://goo.gl/4tVUkQ We welcome applications from all interested graduate students, research associates, postdocs, professors, and industry professionals with a relevant background. [1] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] Application Deadline: February 15, 2018 *Format*: A combination of tutorials and project-based work. Participants are encouraged to bring their own ideas for projects, which may focus on testing hypotheses, modeling neural or cognitive data, implementing specific behavioural functions with neurons, expanding past models, or providing a proof-of-concept of various neural mechanisms. Hands-on tutorials, work on individual or group projects, and talks from invited faculty members will make up the bulk of day-to-day activities. A project demonstration event will be held on the last day of the school, with prizes for strong projects! Participants will have the opportunity to learn how to: - interface Nengo with various kinds of neuromorphic hardware - build perceptual, motor, and cognitive models using spiking neurons - model anatomical, electrophysiological, cognitive, and behavioural data - use a variety of single cell models within a large-scale model - integrate machine learning methods into biologically oriented models - interface Nengo with cameras and robotic systems - implement modern nonlinear control methods in neural models - and much more... *Date and Location:* June 3th to June 15th, 2018 at the University of Waterloo, Ontario, Canada. *Applications*: Please visit http://www.nengo.ai/summerschool, where you can find more information regarding costs, travel, lodging, along with an application form listing required materials. If you have any questions about the school or the application process, please contact Peter Blouw (peter.blouw(a)appliedbrainresearch.com) We look forward to hearing from you!

Jan. 4, 2018

Call for postdoctoral researcher in Kyoto university: Neuro-imaging with endoscope microscopy

by Hidetoshi Urakubo

Dear Colleagues, We are seeking highly motivated post doctoral researchers working for a project (from 2017 October to 2023 March) developing neuro-imaging with endoscope microscopy to reveal to reveal function of corticostriatal circuit of mouse brain. We require a candidate with solid background on one of the following topics: local circuit model of neurons, neural basis of reinforcement leaning, and signal processing of neuronal activity. For this position, 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. The researcher will participate in the project with our researchers from various backgrounds including computational neuroscience, systems biology, bioinformatics, mathematical engineering, and machine learning. Our laboratory is also collaborating 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. Sincerely, Hidetoshi Urakubo [Job title and Job description] Title is a Full-time Researcher / Full-time Research Engineer Work location is in the main campus of Kyoto University. (Yoshida honmachi 36-1, Sakyo-ku, Kyoto-city, Japan. 606-8501) The contract is annually renewable up to the end of those projects based on the evaluation. Salary will be commensurate with qualifications and experience. Social insurance will be applied. Days off include weekends, public holidays, Year-end and New Year holidays, Foundation Day, and summer vacation. These and other provisions are in accordance with Kyoto University’s regulations. [Application and required documents] Please send the following five materials to the address below, either in printed or electronic form: 1. Complete CV 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 a Ph.D. (or be near completion). - have strong motivations and ambitions to participate in the research above. [Deadline for application] Feb. 15th (will remain open if positions are not filled) [Send application to] Shigeyuki Oba Integrated Systems Biology Laboratory (Prof. Shin Ishii), Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo, Kyoto 606-8501, Japan Email: Shigeyuki Oba <ishii-secr [at] sys.i.kyoto-u.ac.jp> http://ishiilab.jp/kyoto/en/

Jan. 4, 2018