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open rank faculty position in Human Movement Science at Northeastern, Boston, MA
by Marta Russo Nov. 26, 2018

Nov. 26, 2018

The Department of Biology at College of Science and the Department of Physical Therapy, Movement and Rehabilitation Science at the Bouve College of Health Sciences invites nominations and applications for a tenure track faculty position (open rank, from the Assistant to the Full Professor rank). Applicants are encouraged to submit their application by November 29, 2018 to receive full considerations, but review of applications will continue until the position is filled. More info can be found below or here <https://neu.peopleadmin.com/postings/57607.>. Informal inquiries can be addressed to: Dr. Dagmar Sternad, Chair of the Search Committee (d.sternad(a)northeastern.edu) Apologies for multiple posting. -- Marta Russo, PhD Postdoctoral Research Associate Action Lab Office: 503 Richards Hall Mail: 134 Mugar Life Sciences Building Northeastern University 360 Huntington Avenue Boston, MA 02115 m.russo(a)northeastern.edu *Faculty Position in Human Movement Science* *Northeastern University, Boston, MA* *Assistant, Associate, or Full Professor* *A tenure-track position is open in Human Movement Sciences in the Department of Biology, College of Science and the Department of Physical Therapy, Movement and Rehabilitation Science, Bouve College of Health Sciences, at Northeastern University.* The position is open for applicants from the Assistant to the Full Professor rank. The candidate’s research can be in the areas of experimental, computational, or clinical human movement, with a possible bridge to prosthetics and robotics. This position is part of a growing university-wide cluster in the science of human movement, spanning research strengths from basic experimental and computational research to rehabilitation science, robotics, and neuroengineering. Priority will be placed on research strengths that complement existing strengths in computational human movement science, rehabilitation science, neurophysiology, neuroimaging, and control theory, although excellence is of top-most priority. Depending on the research profile, an affiliated appointment with Bioengineering or Electrical and Mechanical Engineering is possible. The anticipated start date is Fall Semester, 2019. Responsibilities will include conducting an independent, externally funded research program, teaching undergraduate and graduate courses, and participating in departmental, college and university service. Qualified candidates should have experience in, or be able to demonstrate a commitment to, working with diverse student populations and/or in a culturally diverse work and educational environment. The Department of Biology is strongly interdisciplinary, with 20 tenured and tenure-track faculty in Biology and an additional 9 faculty with joint appointments in other departments. The department administers programs in the College of Science at Northeastern University for 1,200 undergraduates, and 100 students in Ph.D., Masters, and Professional Masters programs. The Department of Physical Therapy, Movement and Rehabilitation Sciences, located within Bouvé College of Health Sciences, is comprised of 10 tenured and tenure track faculty and 20 clinical faculty. The Department offers a Ph.D. program in Human Movement and Rehabilitation Sciences, as well as one of the oldest and largest Doctorate in Physical Therapy (DPT) programs in the country. Grounded in its signature co-op program, Northeastern provides unprecedented global experiential learning opportunities. Northeastern University occupies a vibrant 67-acre campus in the heart of Boston, surrounded by other leading educational, health care, technological, and research institutions, as well as world-renowned venues for art and music. Applicants must have a PhD in the life sciences, including physical medicine and physical therapy, neuroscience, neurophysiology, bioengineering, electrical or mechanical engineering, kinesiology, rehabilitation sciences, or other related disciplines. All applicants should have a strong record of scholarly accomplishment that demonstrate research productivity and the ability to perform cutting edge research. Candidates seeking appointment at the associate or full professor level should have substantial research productivity and a history of grant support and academic service. *Please submit a curriculum vitae, cover letter, a two-page description of research accomplishments and plans, a statement on teaching, and the name and contact information for three references through the application portal* https://neu.peopleadmin.com/postings/57607 <https://na01.safelinks.protection.outlook.com/?url=https%3A%2F%2Furldefense…> . Review of applications will begin immediately and will continue until the position is filled. Applications should be submitted by November 29, 2018 to receive full considerations. Informal inquiries can be addressed to: Dr. Dagmar Sternad, Chair of the Search Committee (d.sternad(a)northeastern.edu) -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - **Please consider the environment before printing this email.*

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Using spike train distances to identify the most discriminative neuronal subpopulation
by Thomas Kreuz Nov. 26, 2018

Nov. 26, 2018

Dear all, may I kindly draw your attention to our most recent paper which contains several new algorithms to address neuronal population coding using spike train distances: Satuvuori E, Mulansky M, Daffertshofer A, Kreuz T: Using spike train distances to identify the most discriminative neuronal subpopulation <https://www.sciencedirect.com/science/article/pii/S0165027018302747> JNeurosci Methods, 308, 354 [PDF <https://www.sciencedirect.com/science/article/pii/S0165027018302747>] and arXiv [PDF <https://arxiv.org/pdf/1805.10892.pdf>] (2018). For the abstract see below. This paper is part of the dissertation "Spike train distances and neuronal coding <http://dare.ubvu.vu.nl/bitstream/handle/1871/55855/abstract%20english.pdf?s…>" of my PhD student Eero Satuvuori whose full thesis can now be found here <http://dare.ubvu.vu.nl/bitstream/handle/1871/55855/abstract%20english.pdf?s…>. Besides some original parts and the paper cited above it also contains these recent works: Satuvuori E, Kreuz T: Which spike train distance is most suitable for distinguishing rate and temporal coding? JNeurosci Methods 299, 22 [PDF <https://ac.els-cdn.com/S0165027018300372/1-s2.0-S0165027018300372-main.pdf?…>] and arXiv [PDF <https://arxiv.org/pdf/1708.07508.pdf>] (2018). Kreuz T, Satuvuori E, Pofahl M, Mulansky M: Leaders and followers: Quantifying consistency in spatio-temporal propagation patterns New J. Phys., 19, 043028 [PDF <https://doi.org/10.1088/1367-2630/aa68c3>] and arXiv [PDF <https://arxiv.org/pdf/1610.07986v4.pdf>] (2017). Satuvuori E, Mulansky M, Bozanic N, Malvestio I, Zeldenrust F, Lenk K, Kreuz T: Measures of spike train synchrony for data with multiple time-scales JNeurosci Methods 287, 25 [PDF <https://doi.org/10.1016/j.jneumeth.2017.05.028>] and arXiv [PDF <https://arxiv.org/pdf/1702.05394.pdf>] (2017). All the best, Thomas Kreuz PS: Satuvuori E, Mulansky M, Daffertshofer A, Kreuz T: Using spike train distances to identify the most discriminative neuronal subpopulation <https://www.sciencedirect.com/science/article/pii/S0165027018302747> JNeurosci Methods, 308, 354 [PDF <https://www.sciencedirect.com/science/article/pii/S0165027018302747>] and arXiv [PDF <https://arxiv.org/pdf/1805.10892.pdf>] (2018). Abstract: Background Spike trains of multiple neurons can be analyzed following the summed population (SP) or the labeled line (LL) hypothesis. Responses to external stimuli are generated by a neuronal population as a whole or the individual neurons have encoding capacities of their own. The SPIKE-distance estimated either for a single, pooled spike train over a population or for each neuron separately can serve to quantify these responses. New method For the SP case we compare three algorithms that search for the most discriminative subpopulation over all stimulus pairs. For the LL case we introduce a new algorithm that combines neurons that individually separate different pairs of stimuli best. Results The best approach for SP is a brute force search over all possible subpopulations. However, it is only feasible for small populations. For more realistic settings, simulated annealing clearly outperforms gradient algorithms with only a limited increase in computational load. Our novel LL approach can handle very involved coding scenarios despite its computational ease. Comparison with existing methods Spike train distances have been extended to the analysis of neural populations interpolating between SP and LL coding. This includes parametrizing the importance of distinguishing spikes being fired in different neurons. Yet, these approaches only consider the population as a whole. The explicit focus on subpopulations render our algorithms complimentary. Conclusions The spectrum of encoding possibilities in neural populations is broad. The SP and LL cases are two extremes for which our algorithms provide correct identification results. -- Institute for complex systems, CNR Via Madonna del Piano 10 50119 Sesto Fiorentino (Italy) Tel: +39-349-0748506 Email: thomas.kreuz(a)cnr.it Webpage: http://www.fi.isc.cnr.it/users/thomas.kreuz/

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Frontiers Research Topic "Discrimination of Genuine and Posed Facial Expressions of Emotion"
by Jian Liu Nov. 26, 2018

Nov. 26, 2018

Call for Papers: Frontiers Research Topic "Discrimination of Genuine and Posed Facial Expressions of Emotion" More information: https://www.frontiersin.org/research-topics/9221/discrimination-of-genuine-… About this Research Topic Facial expressions demonstrate one emotional states in interpersonal situations. Evidence shows that part of the facial display reflects the emotional experience that is literally felt by the expresser. Interestingly, human beings are capable of identifying facial expressions of the felt emotions as a form of intentional deception to conduct social interaction and to stage displays that have the support of others. Staged or posed facial expressions implement an emotion that an expresser intends to convey, where genuine expressions are considered as the companion of spontaneous emotional expressions. The ability to differentiate genuine displays of emotional experience from posed ones is very important for dealing with day-to-day social interactions. Recent work has been conducted on whether or not people can distinguish between posed and genuine displays of emotion. In spite of few studies to investigate this ability, most prior research suggests that people have the ability to judge genuine and posed facial displays. Unfortunately, previous research has suffered from two major shortcomings: (1) the mixture of staged and genuine displays due to the lack of accounting for possible effects of intentional manipulation, and (2) struggling to consider dynamic aspects when people prepare facial stimuli for experimental investigation. This Research Topic encourages the submission of theoretical and experimental perspectives to broaden understanding of the importance of the discrimination of genuine and posed facial expressions of emotion. These may be new theoretical approaches, those from other disciplines of psychology not usually utilized within the discrimination of genuine and staged emotion identification or new theories and designs. We seek articles that present new hypotheses, concepts, experimental observations, and theories or models; demonstrate how theories adapted from other disciplines may be utilized for emotion identification or provide recommendations to improve current models or theories to enhance their capacity. We look for papers that may combine critical analysis of current models, synthesis of early empirical work by single- or multi-modality analysis (e.g. video, ECG, EEG, fMRI, and single cells in humans and/or animals), and explore the potential for their development applied to the context of emotion recognition. Submissions of systematic reviews and meta-analysis should discuss and promote comprehensive approaches to update and evolve concepts, hypotheses, and theories with potential applications in the community. Keywords: face expression, discrimination, genuine, posed, emotion Guest editors: Huiyu Zhou, Department of Informatics, University of Leicester, United Kingdom. Caroline Ling Li, School of Computing, University of Kent, United Kingdom. Shiguang Shan, Institute of Computing Technology, Chinese Academy of Sciences, China. Shuo Wang, Chemical and Biomedical Engineering, West Virginia University, United States. Jian Liu, Centre for Systems Neuroscience, University of Leicester, United Kingdom.

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Call for applications - 2019 Nengo Summer School
by Peter Blouw Nov. 23, 2018

Nov. 23, 2018

[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 our 6th annual Nengo summer school on large-scale brain modelling and neuromorphic computing. This two-week school will teach participants to use the Nengo simulation package to build state-of-the-art cognitive and neural models to run both in simulation and on neuromorphic hardware. Summer school participants will be given on-site access to Loihi, Intel’s new neuromorphic research chip [1], and will learn to run high-level applications on Loihi using Nengo! More generally, Nengo provides users with a versatile and powerful environment for designing cognitive and neural systems, and has been used to build what is currently the world's largest functional brain model, Spaun [2], which includes spiking deep learning, reinforcement learning, adaptive motor control, and cognitive control networks. For a look at last year's summer school, check out this short video: https://www.youtube.com/watch?v=NwtYgBB2N6I We welcome applications from all interested graduate students, postdocs, professors, and industry professionals with a relevant background. [1] Davies, et al. (2018). Loihi: A neuromorphic manycore processor with on-chip learning. IEEE Micro. Vol. 38 no. 1 pp. 82-99. [ https://ieeexplore.ieee.org/document/8259423] [2] Eliasmith, C., Stewart T. C., Choo X., Bekolay T., DeWolf T., Tang Y., Rasmussen, D. (2012). A large-scale model of the functioning brain. Science. Vol. 338 no. 6111 pp. 1202-1205. DOI: 10.1126/science.1225266. [ http://compneuro.uwaterloo.ca/files/publications/eliasmith.2012.pdf] ***Application Deadline: February 15, 2019*** 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 neuromorphic hardware (e.g. Loihi, SpiNNaker) - 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 9th to June 21st, 2019 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) The school is also partly supported by ONR and ABR, Inc. We look forward to hearing from you!

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Postdoc position at The Krembil Centre for Neuroinformatics
by Leon French Nov. 21, 2018

Nov. 21, 2018

The Computational Neurobiology Laboratory at The Krembil Centre for Neuroinformatics seeks a postdoctoral fellow to join our efforts to understand brain disorders. We focus on mining datasets of connectivity, gene expression, and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales, modalities, and species. We seek one postdoctoral fellow interested in bioinformatics and neuroscience. The primary project will be to join large transcriptomic resources with the polygenic signal of major depression to gain insight into the disorder. In addition to this project, there would be opportunities to pursue other research interests. Some of our frequently used keywords give a good description of our work: neuroinformatics, molecular neuroanatomy, genetics, transcriptomics, machine learning, text mining, neuroimaging, software development, and connectomics. The ideal candidate should have a PhD in computational biology, bioinformatics, computer science or related field with extensive knowledge in genome wide data integration. Significant interest in neuroscience and experience working with large datasets are requested. Familiarity with The Library of Integrative Network-based Cellular Signatures (LINCS) is a plus. Preferred qualifications and experience: - Excellent written and verbal communication skills - Extensive experience in programming and scripting (e.g., R or Python) - Expertise in genomics, bioinformatics, computational biology, neuroscience or related areas - Experience in analyzing, visualizing and integrating large-scale biological data - Contributions to public software projects Writing manuscripts and applying for independent grants and fellowships will be strongly encouraged. Highly motivated individuals (Ph.D. and/or M.D.) should submit a curriculum vitae, names of 3 references and a cover letter explaining their interest, and a brief description of research experience to leonfrench+recruit at gmail.com. You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable and regulatory requirements. This position will be located at 250 College Street, Toronto.

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2 years postdoc position in reinforcement learning-based modeling of animal behavior
by david robbe Nov. 21, 2018

Nov. 21, 2018

Dear Colleagues, Please find below an announcement for a postdoc position in Marseille (France) to develop reinforcement learning-based models of animal behavior. The Turing Centre for Living Systems in Marseille seeks applicants for a postdoc position in computational neuroscience/robotics under the joint supervision of David Robbe and Christophe Eloy. The initial appointment will be for 2 years. The goal of this project is to understand, at an algorithmic level, how animals learn to develop adaptive behavior by trial-and-error interaction with their environment. We propose an interdisciplinary approach combining behavioral experiments in rats and the development of an "artificial" agent facing challenges similar to those experienced by the rats. The experimental data (already available) show that rats challenged in a time estimation task converged progressively toward a conserved embodied strategy (Rueda-Orozco and Robbe, Nature Neuroscience, 2015). Key determinants of that strategy have been isolated experimentally, by altering task rules and environment and quantifying how these alterations affect animal performance. Learning theoretical models will be based on reinforcement learning and more recent developments coming from artificial intelligence (deep learning). The main task of the project will be to develop computational model and therefore we expect the candidates to have a solid background in the gerenal field of machine learning. The successful applicant will work in close collaboration with experimentalists and robotic engineers. We are therefore looking for an enthusiastic applicant with excellent communication skills and a track record in interdisciplinary collaborative environments Deadline for application: 1st of December 2018 (late application will be considered until the end of the year) More information and application.<http://centuri-livingsystems.org/pdp2018-11/>http://centuri-livingsystems.org/pdp2018-11/ -- David Robbe, PhD Neural Bases of Sensorimotor learning Institut de Neurobiologie de la Méditerranée (INMED) INSERM-UMR1249 163, avenue de Luminy. BP13 13273 Marseille Cedex 9 France Tel: +33 4 91 82 81 99 Fax: +33 4 91 82 81 05 Team Web Page <http://www.inmed.fr/en/en-avenir-dynamiques-neuronales-et-fonctions-des-gan…> /"It is disturbingly common for studies to include behavior as simply a hasty add-on in papers that are otherwise crammed full of multiple techniques, types of results, and even species. It is as if every paper needs to be a methodological decathlon in order to be considered important."/ Krakauer et al., Neuron 2017 <https://www.cell.com/neuron/abstract/S0896-6273(16)31040-6>

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New AFOSR Cognitive & Computational Neuroscience research funding portfolio
by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA Nov. 19, 2018

Nov. 19, 2018

Dear Colleagues, Please check out AFOSR's new research funding portfolio in Cognitive and Computational Neuroscience! The Cognitive and Computational Neuroscience program funds high-risk, high-potential basic research that uses experimental and computational modeling techniques from systems neuroscience, cognitive neuroscience, computational/theoretical neuroscience, cognitive science, and cognitive psychology to understand the neural mechanisms responsible for perception, cognition, and behavior. The program also supports brain-inspired algorithm and hardware development provided these are useful for testing proposed neuroscience theories and/or enabling novel capabilities in computing, artificial intelligence, or autonomous systems. The Broad Agency Announcement is posted at https://www.grants.gov/web/grants/view-opportunity.html?oppId=305996 (see file FA9550-18-S-0003 Amendment 002.pdf) Awards under this BAA are not limited to US researchers. Although the BAA remains open year round, to be considered for FY19 funding, full proposals should be submitted via grants.gov no later than mid-February. Emailed pre-proposals in the form of white papers (approximately 3-5 pages, excluding references) describing specific research questions and approaches are encouraged. Regards, Hal Greenwald Hal S. Greenwald, Ph.D. Program Officer, Cognitive & Computational Neuroscience Air Force Office of Scientific Research (AFOSR/RTA) 875 N. Randolph St. Arlington, VA 22203-1768 (703) 588-8441 neuroscience(a)us.af.mil

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PhD studentship, University of Exeter
by Goodfellow, Marc Nov. 19, 2018

Nov. 19, 2018

A fully funded studentship is available to work with Dr. Marc Goodfellow (University of Exeter, UK) and Prof. George Augustine (NTU, Singapore). The deadline for applications is 31st January 2019. Healthy brain function is mediated by the coordination of neuronal activity - both locally and across different brain regions - giving rise to large-scale brain dynamics. These dynamics are measured using a variety of techniques, for example magneto-/electro-encephalography or functional MRI in humans, or by fluorescence-based imaging of voltage- or calcium-sensitive indicators in animal models in vivo. Uncovering the nature and mechanisms of large-scale brain dynamics at rest, or during sensory processing, remains a fundamental challenge in neuroscience. In addition to basic insight, improving our understanding of healthy brain dynamics will help us elucidate reasons why abnormal dynamics occur, for example in neurological or neuropsychiatric disorders. This studentship will develop a novel program of interdisciplinary research across in vivo (mouse) experimentation and mathematical modelling. The overall aim is to construct and validate mathematical models of large-scale brain dynamics that are able to explain the spontaneous activity of the rodent brain in vivo. The student will train in optogenetic technologies and in vivo imaging, as well as mathematical model development, multi-variate time series analysis and parameter fitting tools, thus placing them at the forefront of interdisciplinary neuroscience. In a first step, targeted optogenetic stimuli will be combined with voltage sensitive dye imaging in awake mice to probe the response of brain tissue to excitatory and inhibitory afferent stimuli. Neural mass models will be fit to these data, using machine learning approaches (for example random forests). This information will be compiled into a predictive model of cortical dynamics and tested against experimental recordings of spontaneous activity. The studentship is part of a joint program between The University of Exeter (UoE) and Nanyang Technological University (NTU), Singapore. They are offering six fully funded postgraduate studentships to undertake collaborative research projects at the two institutions, leading to PhD degrees (split-site) to be conferred either by the UoE or NTU. Students pursuing these postgraduate research projects will benefit from the unique opportunity to conduct their research at both institutions. Students will be registered at one or other institution, where they will be based for the majority of their time, but will spend at least 12 and not more than 18 months at the partner institution over the duration of the programme. The frequency and length of stays at each institution will be agreed with successful candidates prior to offers being made. All six projects are advertised concurrently at both institutions and three will be allocated to each institution after the deadline has passed, based on a collaborative decision made between the UoE and NTU. The final decision on the successful applicant for each project will be made by the institution hosting the project. Project allocation will be based on the applicant's best fit to a project, following a review of applications submitted to each institution. Applications to undertake the projects at the UoE and NTU are open to all nationalities. The programme start dates are August 2019 for NTU and September 2019 for UoE The home institution will determine the regulations that will apply to the successful applicant. The student's main supervisor will be based at the home institution. For further information and to register interest, please contact Dr. Marc Goodfellow (m.goodfellow(a)exeter.ac.uk) To apply and for further details, please see http://www.exeter.ac.uk/studying/funding/award/?id=3058

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Ph.D. positions in Math Biology and Computational Neuroscience at NJIT
by Victor Matveev Nov. 17, 2018

Nov. 17, 2018

Dear all, The Department of Mathematical Sciences at New Jersey Institute of Technology (NJIT) is inviting candidates to apply to one of our doctoral program tracks: (1) Applied Mathematics or (2) Applied Probability & Statistics. The Department's research focus spans Mathematical Biology and Computational Neuroscience, Scientific Computing, Fluid Dynamics, Materials Science, Wave Propagation, Applied Analysis, Applied Probability & Statistics, including Biostatistics. Teaching and research assistantships are available, and include a tuition waiver and a competitive stipend. Application target date is December 15, 2018 but ongoing review will continue until all available positions are filled. To apply, please visit our homepage: https://www.njit.edu/graduatestudies/department-mathematical-sciences/?utm_… For more information, please email us (math(a)njit.edu, CC to:rmoore@njit.edu, matveev(a)njit.edu) PhD Program advertisement flyer is available at http://web.njit.edu/~matveev/NJIT_DMS_PhD_flyer.pdf Sincerely, -- Admissions Committee, Department of Mathematical Sciences, NJIT -- _____________________________________________ Victor Matveev, Professor Applied Math, Biophysics, Neuroscience Department of Mathematical Sciences Graduate Faculty, Dept of Biological Sciences New Jersey Institute of Technology Newark, NJ 07102-1982 Office: Cullimore Hall 616 E-mail: matveev(a)njit.edu http://web.njit.edu/~matveev/

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Threshold Networks Workshop - First announcement
by Stephen Coombes Nov. 16, 2018

Nov. 16, 2018

First announcement Threshold Networks July 22 - 24, 2019 Nottingham, UK https://www.nottingham.ac.uk/conference/fac-sci/maths-sci/threshold-network… 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 12 main speakers) and contributed poster presentations. Speakers: Alex Arenas, Universidad Rovira i Virgili, Spain Mario Di Bernardo, University of Bristol, UK Ginestra Bianconi, Queen Mary University of London, 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 Important dates Registration deadline: 1st June 2019 Poster abstract submission deadline: 12th April 2019. Notification of acceptance: 1st May 2019 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… 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> ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- 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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Multiple Postdocs available in the Neurobiology of Language
by Woolnough, Oscar Nov. 16, 2018

Nov. 16, 2018

POSTDOCTORAL RESEARCH POSITIONS Multiple Postdoctoral research positions are available in the Tandon Lab at The University of Texas in Houston as part of the newly formed Texas Epilepsy Neurotechnologies and Neuroinformatics (TENN) Institute. Positions are funded either via multi year Institute funding or by NIH funds (an R01 and a U01). The lab uses multimodal approaches – fMRI, lesional analysis following epilepsy surgery, intracranial recordings and direct stimulation to create validate network level representations of language. Lab Collaborators include Greg Hickok (UCI), Stanislas Dehaene (NeuroSpin), Nathan Crone (JHU), Simon Fisher Baum (Rice) and Xaq Pitkow (Rice-Baylor); the post-doc will benefit from a close interaction with these experts in the fields of reading, semantics, speech production and computational neuroscience. The selected individual must have a Ph.D. in one or more of the following: neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis, functional imaging studies of language, or studies of speech production are desirable – but not crucial. They must possess the ability to independently code in any or all of the following: MATLAB, R or python. They are expected to be highly motivated, team players with a passion to study cognitive processes using any or all of the various modalities available in the lab - imaging, direct recordings and closed-loop cortical stimulation in humans. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professional standards and be adaptable. A strong publication record and excellent academic credentials are highly desirable. CONTACT: Nitin.Tandon(a)uth.tmc.edu<mailto:Nitin.Tandon@uth.tmc.edu> Eliana.Klier(a)uth.tmc.edu<mailto:Eliana.Klier@uth.tmc.edu> More information @ www.tandonlab.org

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PhD fellowship on analysis/large-scale modelling of cross-frequency coupling and stimulation
by BATTAGLIA Demian Nov. 16, 2018

Nov. 16, 2018

Applications are invited for a: PhD fellowship at Aix-Marseille University (AMU, southern France) under the mentoring of Dr. Demian Battaglia (Institute for Systems Neuroscience - INS). This three-years fellowship is funded by the ANR grant (Agence National de la Recherche) “ERMUNDY (Exact Reduction of Multiscale Neural Dynamics)”. In the context of this project we will develop computational multi-scale models of cortical oscillatory dynamics (multiple frequencies, cross-frequency coupling…) and of its control via stimulation. The used models (from the regional to the whole-brain level) will be constrained by realistic information on the phase response properties of actual neural populations, which will be inferred from both extra-cranial (TMS) and intra-cranial (sEEG) stimulation data, acquired in house at AMU. Interactions with other researchers will take place as well, including experimentalists located in AMU, and theorists at Cergy-Pontoise University (Alessandro Torcini) and Ecole Normale Supérieure in Paris (Boris Gutkin). The PhD fellow will participate to both experimental data analysis (extraction of Phase Response Curves, functional connectivity analyses…) and model design and simulation. The successful candidate will integrate the Theoretical Neuroscience Group at the Institute for Systems Neuroscience (INS), located on the same campus of the Timone University hospital (AP-HM). The integrative and clinical neuroscience community in Marseille is among the most lively in Europe and Marseille is a vibrating city, with wonderful natural surroundings and home to the largest French-speaking university in the world, with an emphasis on interdisciplinary studies. Salary (~1.4k euros net, after all taxes and full social security coverage) is defined according to French national guidelines and cannot be negotiated. Interested candidates should send a cv, a brief description of qualifications and research interests and the name of one or two reference contacts to: Demian Battaglia demian.battaglia(a)univ-amu.fr Feel free to inquire for further information. Applications from under-represented categories in STEM sciences are welcome and supported.

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PhD position at HU Berlin (Physics Dep.) available
by Benjamin Lindner Nov. 16, 2018

Nov. 16, 2018

*Calcium spiking with cumulative refractoriness - statistics of the fluctuations and implications for Calcium signaling** *We are looking for a PhD candidate to theoretically explore models of noisy spike-generating cellular signalling systems for which the intracellular Calcium dynamics is a prominent example. Methods will be developed within the frameworks of the theory of stochastic processes, statistical physics and nonlinear dynamics. The project is a collaboration between the research groups of Martin Falcke (Max-Delbrueck Center for Molecular Medicine Berlin and Humboldt University Berlin) and Benjamin Lindner (Bernstein Center for Computational Neuroscience Berlin and Humboldt University Berlin) and the PhD students of both groups are expected to closely collaborate. The successful candidate should have a degree in physics (a background in physical biology is desirable but not obligatory), expertise in analytical calculations, programming skills (C++ or C, Python, LaTeX, Linux), and excellent command of the English language, good communication skills, and team spirit. Funding is provided for three years, starting at the latest February 1, 2019. For details on the doctoral examination process at the Physics Department of Humboldt University Berlin, see https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/index_html?set_…. Applications, including a letter of motivation, a CV, and a list of three potential referees should be sent by email to   me benjamin.lindner(a)physik.hu-berlin.de  (cc to nikola.schrenk(a)bccn-berlin.de)  The deadline for applications is December 31st 2018, however, later applications might also be considered. HU is seeking to increase the proportion of women in research and teaching, and specifically encourages qualified female scholars to apply. Severely disabled applicants with equivalent qualifications will be given preferential consideration. People with an immigration background are specifically encouraged to apply. Since we will not return your documents, please submit copies in the application only. Kind regards, Benjamin Lindner -------------------------------------------------------------------------------------------------------------------- Benjamin Lindner Professor for Theory of Complex Systems and Neurophysics Bernstein Center for Computational Neuroscience Berlin Philippstr. 13, Haus 2, 10115 Berlin Room: 1.17, phone: 0049(0)302093 6336 Department of Physics Humboldt University Berlin Newtonstr. 15 12489 Berlin Room: 3.408, phone: 0049(0)302093 7934 http://people.physik.hu-berlin.de/~lindner/index.html --------------------------------------------------------------------------------------------------------------------

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Associate Professor in Mathematical Imaging
by Stephen Coombes Nov. 14, 2018

Nov. 14, 2018

Dear all, As part of the growth of activity in Precision Imaging at Nottingham there is an opening at Associate Professor level in the area of Mathematical Imaging. The post-holder will undertake original research of international excellence in Mathematical Imaging or closely related areas including Neuroimaging and Computational Neuroscience, complementing and enhancing the current activity of the Mathematical Medicine and Biology group (https://www.nottingham.ac.uk/cmmb/index.aspx) and the University Beacon in Precision Imaging (https://www.nottingham.ac.uk/research/beacons-of-excellence/precision-imagi…) For information about how to apply please visit https://www.nottingham.ac.uk/jobs/currentvacancies/ref/MED1511 Best regards, Steve ------------------------------------------------------- Stephen Coombes Professor of Applied Mathematics School of Mathematical Sciences Nottingham, UK Tel: 0115 846 7836 http://www.maths.nott.ac.uk/~sc/ ------------------------------------------------------- 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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XI. Dubrovnik Conference on Cognitive Science - Computational Rationality
by Gergo Orban Nov. 13, 2018

Nov. 13, 2018

Dear All, We are happy to announce the XI. Dubrovnik Conference on Cognitive Science, which is devoted to the topic of Computational Rationality. The conference will take place between 23-25 May 2019 in Dubrovnik, Croatia. Invited speakers are: Ulrike Hahn (Birkbeck, University of London, UK) Quentin Huys (ETH Zürich, Switzerland) Julian Jara-Ettinger (Yale University, USA) Mate Lengyel (University of Cambridge, Central European University) Azzurra Ruggeri (Max Planck Institute for Human Development, Berlin, Germany) Laura Schultz (MIT, USA) For more information please visit: http://www.cecog.eu/ducog/page_invitation.php <http://www.cecog.eu/ducog/page_invitation.php> or email us: ducog(a)cogsci.bme.hu <mailto:ducog@cogsci.bme.hu> On behalf of the organisers, Oana Stanciu Gergő Orbán

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Postdoc positions in computational and multimodal neuroimaging
by Laura Lewis Nov. 13, 2018

Nov. 13, 2018

Postdoc positions at Boston University and Harvard Medical School/MGH POSITION 1: We have openings for postdoctoral associates to lead multimodal neuroimaging studies of brain function in Laura Lewis' lab at Boston University, aiming to advance computational and systems neuroscience of the human brain. These positions offer the opportunity to develop computational neuroimaging approaches using state-of-the-art MR techniques, and study the neural basis and cognitive consequences of sleep, wake, arousal, and attentional states. We use fast fMRI, multimodal imaging (e.g. EEG-fMRI, PET-fMRI), computational modeling, ultra-high field (7 Tesla) imaging, and other multimodal approaches to measure and analyze brain function across diverse states. The lab is a fast-paced and interdisciplinary environment that supports its members in achieving their long-term research and career goals, and has strong collaborations throughout the Boston-area computational neuroscience and neuroimaging communities. POSITION 2: Postdoctoral Research Fellow in advanced functional MRI based at the Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital (MGH) and Harvard Medical School. Our research aims to enable new kinds of analyses of brain activity through advanced neuroimaging and signal processing approaches. Working with Drs. Jonathan Polimeni and Laura Lewis, the fellow will study the neural and vascular origins of fast fMRI signals and test the upper limits of the speed and sensitivity of fMRI. The postdoctoral fellow will use advanced accelerated fMRI methods and ultra-high field imaging (7T) to study and model the dynamics of neural activation at fast timescales and across cortical layers. Multimodal imaging (including ASL, CBV, and simultaneous EEG/fMRI) and computational models of physiological dynamics may also be used, to ultimately track fast and local neural dynamics using accelerated fMRI. The Martinos Center is home to state-of-the-art imaging facilities and technological expertise in neuroimaging. The center houses over 200 faculty and postdoc members, conducting diverse neuroimaging research with great potential for collaborations and career development. BU and MGH are equal opportunity employers. Position is well suited for a highly motivated researcher with a desire to begin an independent career related to advanced fMRI and/or neuroscience. A Ph.D. in engineering, physics, neuroscience, psychology, or related field, is required. A background in neuroimaging techniques and/or neurophysiology is an asset but not required. Strong analysis skills and independent motivation and creativity are essential. TO APPLY: Interested applicants should send a cover letter describing research experience, interests, and future goals, as well as a CV and contact information for three references, to ldlewis(a)bu.edu For more information see: http://www.lewisneurolab.org/positions

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Postdoc in auditory thalamocortical system modeling & data analysis
by Neymotin, Samuel (NKI) Nov. 13, 2018

Nov. 13, 2018

A computational neuroscience postdoctoral position is available at the Nathan Kline Institute for Psychiatric Research under the auspices of a NIH R01 (MPI: Peter Lakatos, Sam Neymotin). The aim of our project is to develop/utilize computer models of the auditory thalamocortical system to investigate mechanisms and functions of neuronal oscillatory patterns observed in the auditory system in the electrophysiological recordings from Dr. Lakatos' group. The broad goal is to develop a biologically-realistic data-driven computer model of the thalamocortical auditory system that is able to support critical auditory information processing features, with special emphasis on neuronal oscillations. The combined in vivo and in silico results of our project will pave the way for model-driven neuromodulation, offering precise predictions on how to efficiently control biological circuits. Besides modeling, our group also focuses heavily on developing and applying novel signal processing techniques for the analysis of electrophysiological data on multiple spatial scales, from single neurons to ECoG recordings. Applicants should have a strong background in: computer programming, with demonstrated proficiency in Python and Matlab, analysis of electrophysiological data, development of signal processing methods for neural data, detailed computational modeling of neurons/neuronal circuits using NEURON with Python. The job will be based at the Nathan Kline Institute (www.nki.rfmh.org<http://www.nki.rfmh.org> ~1 hour north of NYC), but some telecommuting will be allowed. Applicants should contact Sam Neymotin by email (samuel.neymotin(a)nki.rfmh.org<mailto:samuel.neymotin@nki.rfmh.org>) with a CV and cover letter. The Nathan Kline Institute is an equal opportunity employer. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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Post-doc position in neuroimaging and computational neuroscience in Bordeaux, France
by Alexandre Zenon Nov. 13, 2018

Nov. 13, 2018

Post-doctoral position in neuroimaging Applications are invited for a Research Fellow in the Aquitaine Institute for Cognitive and Integrative Neuroscience, Bordeaux, France. The successful applicant will pursue research projects on the neurobiological and computational underpinnings of the cost of cognition. These projects will combine neuroimaging and computational approaches. The post is available from early 2019 and is funded for two years by a grant from the Agence Nationale de la Recherche. Applicants must have, or be close to obtaining, a PhD in neuroscience, psychology, or a related area. Experience in conducting neuroscience research and in programming (Matlab and/or Python) is required. Experience in conducting neuroimaging research and in building computational models of behavior will be very appreciated. To apply for the vacancy, or for more information, please contact Dr. Alexandre Zénon (email: alexandre.zenon(a)u-bordeaux.fr ). Applications should include CV, motivation letter and contact information for 3 references.

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PhD positions in computational neuroscience, University of Edinburgh
by Matthias Hennig Nov. 13, 2018

Nov. 13, 2018

3 YEAR PhD IN COMPUTATIONAL NEUROSCIENCE, UNIVERSITY OF EDINBURGH. We invite applications for our PhD programme in COMPUTATIONAL NEUROSCIENCE at the Institute for Adaptive and Neural Computation at the University of Edinburgh. The studentships are ideal for students who want to apply their computational and analytical skills to problems in neuroscience and related fields. The following supervisors have openings: Matthias Hennig: Neural network models; homeostasis and development; visual and auditory neuroscience; analysis of large-scale recordings. Arno Onken: Neural coding; machine learning for neural data analysis; multi-modal and multi-scale analysis. Peggy Seriès: Bayesian approaches to cognition and perception; computational psychiatry. The PhD project can be done in collaboration with one of the many affiliated departments and institutes. Edinburgh has been voted as 'best place to live in Britain', and has many exciting cultural and student activities. Students with a strong background in either computer science, mathematics, physics or engineering are particularly welcome to apply. Motivated students with other backgrounds will also be considered. To apply, visit https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&ed… Applications completed by 16. January 2019 will receive full consideration. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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PhD in cortical memory storage at the University of Edinburgh
by Matthias Hennig Nov. 12, 2018

Nov. 12, 2018

Applications are invited for an EASTBIO-funded PhD position in the labs of Dr. Gulsen Surmeli and Dr. Matthias Hennig. This is an excellent training opportunity for a highly motivated individual to learn both the use of modern in vivo functional neuron imaging technologies and the applications computational methods to address fundamental questions in neuronal computation. Objectives: Cognitive abilities are a result of coordinated activity of billions of neurons. Recent advances in neuroscience research now enables monitoring activity of thousands of neurons during cognitive tasks. Decoding these large ensemble codes enable unprecedented insight into the inner workings of the brain. This project aims to investigate neural ensemble coding of cortical memory networks. In this project, we will investigate the encoding of memories in cortical networks. In Dr. Surmeli’s lab, a miniaturized head attached fluorescent microscope (miniscope) will be used to perform cellular resolution imaging of activity of neuronal ensembles in freely moving mice during memory tasks. Combined with advanced genetic techniques this method allows tracking activity of thousands of neurons during memory formation and recall. Since memory engrams are typically sparse and highly distributed over many neurons, tracking the acquisition of new memories will require advanced analysis methods, which will be developed in collaboration with the second supervisor based in the School of Informatics. Moreover, the results will enable constructing new models of short and long-term memory acquisition that can advance artificial neural networks used in machine learning applications. For conditions of applying and to apply please refer to: https://www.findaphd.com/search/ProjectDetails.aspx?PJID=100855 Download application and reference forms via: https://www.ed.ac.uk/roslin/postgraduate/bbsrc-eastbio-dtp Lab website/Online Profile https://www.ed.ac.uk/discovery-brain-sciences/our-staff/research-groups/dr-… http://homepages.inf.ed.ac.uk/mhennig/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Doctoral studies in Computational/Theoretical Neuroscience at NYU
by Eero P Simoncelli Nov. 12, 2018

Nov. 12, 2018

New York University is home to a thriving interdisciplinary community of researchers using computational and theoretical approaches in neuroscience. We are interested in exceptional PhD candidates with strong quantitative training (e.g., physics, mathematics, engineering) coupled with a clear interest in scientific study of the brain. A listing of faculty, sorted by their primary departmental affiliation, is given below. Doctoral programs are flexible, allowing students to pursue research across departmental boundaries. Nevertheless, admissions are handled separately by each department, and students interested in pursuing graduate studies should submit an application to the program that best fits their goals and interests. Center for Neural Science (CNS), Graduate School of Arts & Sciences (deadline: 1 December) [http://neuroscience.nyu.edu/graduate-programs/, and http://www.cns.nyu.edu/doctoral/] * Andre A. Fenton - Molecular, neural, behavioral, and computational aspects of memory. * Paul W. Glimcher - Decision-making in humans and animals. Neuroeconomics. * Roozbeh Kiani - Vision and decision-making. * Wei Ji Ma (also in Psychology) - Perception, working memory, and decision-making. * Tony Movshon - Vision and visual development. * Bijan Pesaran - Neuronal dynamics and decision-making. * Alex Reyes - Functional interactions of neurons in a network. * John Rinzel (also in Mathematics) - Biophysical mechanisms and theory of neural computation. * Cristina Savin (also in the Center for Data Science) - Computational models of learning and memory, machine learning. * Robert Shapley - Visual physiology and perception. * Eero Simoncelli - Computational vision and audition. * Xiao-Jing Wang - Computational neuroscience, decision-making and working memory, neural circuits. Neuroscience Institute, School of Medicine (deadline: 1 December) [http://neuroscience.nyu.edu/graduate-programs/, and https://med.nyu.edu/departments-institutes/neuroscience/] * Gyorgy Buzsaki - Rhythms in neural networks. * Dmitri Chklovskii (also in the Simons Foundation) - Neural computation and connectomics. * Dmitry Rinberg - Sensory information processing in the behaving animal. * Mario Svirsky - Auditory neural prostheses; experimental/computational studies of speech production/perception. Psychology, Cognition & Perception program (deadline: 1 December) [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html] * Todd Gureckis - Memory, learning, and decision processes. * David Heeger (also in CNS) - Computational neuroscience, vision, attention. * Brendan Lake (also in the Center for Data Science) - Computational modeling of cognition. * Michael Landy - Computational approaches to vision. * Laurence Maloney - Mathematical approaches to psychology and neuroscience. * Gary Marcus - Origins of the human mind. * Denis Pelli - Visual object recognition. * Jonathan Winawer - Visual perception and memory. Mathematics (deadline: 18 December) [http://math.nyu.edu/degree/phd/] * David McLaughlin - Nonlinear wave equations, computational visual neuroscience. * Aaditya Rangan - Computational neurobiology, numerical analysis. * Charles Peskin - Mathematical biology. * Michael Shelley - Modeling and large-scale computation, computational visual neuroscience. * Daniel Tranchina - Information processing in the retina. * Lai-Sang Young - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience. Center for Data Science (deadline: 12 December) [https://cds.nyu.edu/academics/phd-in-data-science/] * Joan Bruna (also in Computer Science) - Machine learning, signal/image processing. * Kyungyun Cho (also in Computer Science) - Machine learning, natural language processing. * Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for medical imaging, neuroscience, computer vision. * Brenden Lake - Computational modeling of cognition, deep learning. Physics (deadline: 18 December) [http://physics.as.nyu.edu/page/graduate] * Marc Gershow - Perception, decision-making, and learning in neural circuits. Computer Science (deadline: 12 December) [http://www.cs.nyu.edu/home/phd/] * Davi Geiger - Computational vision and learning. * Yann LeCun - Machine learning, computer vision, robotics, computational neuroscience. Economics (deadline: 18 December) [http://as.nyu.edu/econ/degree-programs/phd.html] * Andrew Caplin - Economic theory, neurobiology of decision. * Andrew Schotter - Experimental economics, game theory, neurobiology of decision.

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REMINDER: Special Issue Operations Research for Neuroscience II
by Ruben A. Tikidji-Hamburyan Nov. 11, 2018

Nov. 11, 2018

Dear Colleagues, Just a friendly reminder: Deadline for paper submission is in a few weeks. December 1, 2018 We strongly encourage colleagues who are using modern operations research methods, to consider submitting a manuscript. We also invite manuscripts which propose further developments of modern formal theories (such as the free-energy principle, integrated information, Bayesian learning, etc). Please find the CfP attached as a pdf file or as plain text below. Best regards, Ruben Tikidji-Hamburyan. ____________________________________________________ ― Call for Papers ― Annals of Operations Research Special Issue Operations Research for Neuroscience II ____________________________________________________ After the positive and encouraging response from the scientific and wider community to the special issue Operations Research for Neuroscience, the journal Annals of OperationsResearch (Springer) now invites submissions of papers to a second special issue on the same subject, called Operations Research for Neuroscience II. Neuroscience, a multidisciplinary science, is concerned with the study of the structure and functions of the nervous system. It comprises aspects of physiology, cellular and molecular biology, as well as behavioral and cognitive science. Recent technological and theoretical advances offer promising opportunities for better understanding of the nervous system at the quantitative level. New optogenetic, in vitro and in vivo multielectrode recording, neuroimaging, brain imaging, and other modern techniques provide high-quality data that can be used in elucidating the fundamental mechanisms of information processing in the nervous system. The rapidly growing pool of experimental data has triggered the development of new mathematical models that can provide new insights into the functioning of the nervous system at various scales, ranging from that of molecular biology to that of the organizational principles of behavior and cognition. Sophisticated analyses of intracellular signaling or dynamics in heterogeneous neural networks, conditional behavior, or connections of brain regions in decision-making lead to theoretical problems, addressed by operations research. Although, operations research is actively used in bottom-up approaches--from experimental observation to consistent theory-- it also widely overlaps modern and rapidly developing formal theories, for example the free-energy principle, integrated information theory, and may others. The special issue will cover a broad range of topics in the field of neuroscience using operations research approaches, methods, and theories. Potential topics include, but are not limited to, the following areas and methodologies of neuroscience: o intracellular signaling and regulation o synaptic plasticity o dynamics in heterogeneous neural networks o intelligent systems and control o perceptual, cognitive, and behavioral functions o learning and memory o spatio-temporal network analysis o behavioral economics and finance o linguistics and cognition o combinatorial optimization o signal and information processing o neuroimaging and functional brain imaging processing o computational modeling and simulation o formal theoretical approaches: the free-energy principle, integrated information, Bayesian inference, etc. The use of methods from modern operations research in neuroscience is a prerequisite for any paper submitted to this special issue to enter the reviewing process. Annals of Operations Research is abstracted and indexed in the following databases: Science Citation Index, Science Citation Index Expanded (SciSearch), Journal Citation Reports/Science Edition, SCOPUS, INSPEC, Zentralblatt Math, Google Scholar, EBSCO, CSA, ProQuest, ABS Academic Journal Quality Guide, Academic OneFile, Academic Search, Computer Abstracts International Database, Computer Science Index, CSA Environmental Sciences, Current Contents/Engineering, Computing and Technology, DBLP, ECONIS, Expanded Academic, International Abstracts in Operations Research, Mathematical Reviews, OCLC, SCImago, STMA-Z, Summon by ProQuest. The Special Issue is officially endorsed by EURO Conference 2018, Valencia. Guest Editors: Erik Kropat, Ruben A. Tikidji-Hamburyan, Gerhard-Wilhelm Weber Important Date: Submission deadline of full papers: December 1, 2018. Submission Details: The format of manuscripts for the Annals of Operations Research as well as guidelines can be found on the web page of Springer, the publisher of the journal: http://www.springer.com/journal/10479/submission. Authors should submit a cover letter mentioning that the paper is for a special issue and a manuscript via the journal's online submission site: http://www.editorialmanager.com/anor. When prompted, please select the article type “S.I.: OR in Neuroscience II”. All papers submitted for publication will be carefully refereed. In case of any question please contact by e-mail one of the following guest editors: Dr. Erik Kropat Department of Computer Science Universität der Bundeswehr München Werner-Heisenberg-Weg 39 85577 Neubiberg, Germany E-mail: erik.kropat(a)gmx.de Dr. Ruben A. Tikidji-Hamburyan Department of Cell Biology and Anatomy Health Sciences Center, Louisiana State University New Orleans, Louisiana 70112, USA E-mail: rtikid(a)lsuhsc.edu Prof. Dr. Gerhard-Wilhelm Weber Faculty of Engineering Management Chair of Marketing and Economic Engineering Poznan University of Technology ul. Strzelecka 11 60-965 Poznan, Poland E-mail: gerhard.weber(a)put.poznan.pl

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PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre and University of Düsseldorf Germany
by Martina Reske Nov. 9, 2018

Nov. 9, 2018

PhD Position in Computational Neuroscience and Neuroimaging at Jülich Research Centre and University of Düsseldorf Germany One PhD position is available in computational neuroscience with a focus on mathematical modeling of brain dynamics based on neuroimaging data in the lab of Prof. Dr. Simon Eickhoff at Jülich Research Centre and University of Düsseldorf in Germany. The PhD candidate will work on projects involving large-scale dynamical brain models derived from multimodal neuroimaging data (structural, functional & diffusion magnetic resonance imaging, MRI) combined with numerical simulations and analysis of model dynamics and parameter space. We are specifically looking for candidates with training in applied mathematics/computational neuroscience or related fields and experience in programming and numerical simulation of neuronal models/nonlinear dynamics systems. The candidate will be responsible for derivation, validation and analytical and numerical investigation of the whole-brain dynamical models, preparation of necessary neuroimaging data, and writing manuscripts for publication. The position provides an opportunity to work in an interdisciplinary environment and training in mathematical modeling of neuroimaging data and methods for data analysis. More details on the lab: http://www.fz-juelich.de/inm/inm-7/EN/ Requirements: * Master’s degree (or equivalent) in Applied Mathematics, Physics, Engineering, Computer Science or a related field. * Experience with programming languages such as C/C++/CUDA/Python/Matlab/R. * Familiarity with numerical simulations of nonlinear dynamical systems/differential equations. Experience with high-performance computing is a plus. * Strong writing, communication, interpersonal and organizational skills. * Experience with neuroimaging data processing and related analysis packages (FSL, SPM, MRtrix, etc.) will be of advantage. To apply: Please send your CV, names of two referees, one-page letter of motivation (emphasizing any related work/projects) and representative publications if any (up to 3) to Oleksandr Popovych via email (o.popovych(a)fz-juelich.de<mailto:o.popovych@fz-juelich.de>). Please mention “PhD application” in the subject. -- 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<http://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 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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Ph.D. position in deep learning for signal processing at University of Oldenburg
by Jörn Anemüller Nov. 9, 2018

Nov. 9, 2018

A Ph.D. position in the field of deep learning for signal processing is available at University of Oldenburg, Germany, within the newly established, DFG-funded collaborative research centre "CRC 1330 - Hearing Acoustics" in the group of Jörn Anemüller. For details, see below or contact me directly (joern.anemueller(a)uol.de, https://uol.de/en/computational-audition/statistical-modelling/) Kind regards, Jörn The Computational Audition Group at the Department of Medical Physics and Acoustics, University of Oldenburg, Germany, seeks a highly motivated PhD student (75 % of full time, TV-L E13, 3 years, with possibility of extension) in the field of Deep Learning for Signal Processing Our group investigates audio signal recognition with multi-channel microphone arrays, identifying important sound sources in real-world acoustic scenes, and performing source separation to enhance e.g. an attended speech signal. Applicants for the position must hold an academic university degree (master or equivalent) in physics, engineering, computer science or a related discipline and should have knowledge in at least one of the following fields: - machine learning, - speech recognition, - acoustic event detection, - speech and audio processing. Excellent knowledge of scientific programming languages such as Python or MATLAB, as well as excellent English language skills are required. The position is funded by the newly established DFG collaborative research centre CRC 1330 "Hearing Acoustics", which aims at improving human communication in real-world acoustic scenes and is a long-term collaboration of researchers from Oldenburg, Aachen and Munich. For more information about the CRC see https://www.uni-oldenburg.de/sfb1330. The Computational Audition Group is part of the Department of Medical Physics and Acoustics at University of Oldenburg. We offer an international scientific environment and world-class research facilities. For more information about the group and the department see https://uol.de/computational-audition/ and https://uol.de.de/en/mediphysics-acoustics/. The University of Oldenburg is dedicated to increase the percentage of women in science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Applications including a CV, a motivation letter, copies of relevant certificates and the name and contact details of two references should be sent as single pdf-file to joern.anemueller(a)uni-oldenburg.de or to Dr. Jörn Anemüller Faculty VI Department of Medical Physics and Acoustics Universität Oldenburg D - 26111 Oldenburg Tel. (+49) 441 798 3610 The application deadline is 28th of November 2018. *******************************************************

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Re: [Comp-neuro] PhD Studentship in Computational Neuroscience
by Dimitris Pinotsis Nov. 9, 2018

Nov. 9, 2018

The School of Psychology at City, University of London, is offering * one full-time, three-year doctoral studentship for 2019/20 entry*. Applications are invited from exceptional UK, EU, and international graduates wishing to pursue cutting-edge research in the following areas of Neuroscience and Psychology: *Autism Spectrum Disorders, Cognitive Neuroscience, Computational Neuroscience, Brain Imaging, Computational Psychiatry, Decision Making, Behavioral Economics, Counselling, Health and Organizational Psychology. * For information on how to apply for the studentships, please go to https://www.city.ac.uk/courses/research-degrees/psychology *Closing date: 23.59 on 20th January 2019* For any enquiries, please email SASS-enquiries(a)city.ac.uk We encourage potential applicants to contact prospective supervisors to discuss possible research projects prior to submitting an application. For further details about the psychology department please go to https://www.city.ac.uk/arts-social-sciences/psychology#unit=research where you will find information about research groups and individual staff interests. Full information about all our doctoral studentships can be found at: https://www.city.ac.uk/study/fees-and-funding/scholarships-and-bursaries/sa… *What is Offered* · An annual bursary at the prevailing ESRC rate (£16,777 in 2018/19) · A full tuition-fee waiver for UK and EU students. Applications from overseas applicants are welcome, but the applicant must make appropriate arrangements to cover the difference between the overseas and UK tuition fee. · Further funds to support research expenses (up to £1000 over three years) As part of our commitment to doctoral student training, you will also be eligible for appointment as a Graduate Teaching Assistant and are likely to be offered teaching-related duties within your department (to a maximum of 150 hours each year). This work will be paid in full. *Eligibility* The studentships will be awarded on the basis of outstanding academic achievement and the potential to produce cutting-edge research. · Applicants must hold at least a 2.1 honours degree and a merit-level Master’s degree in a relevant subject (or international equivalent) · Applicants whose first language is not English must have achieved at least 7.0 in IELTS or a recognised equivalent · Applicants must not be currently registered as a doctoral student at City, University of London, or any other academic institution <SASS-enquiries(a)city.ac.uk>

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PhD Projects - ARC Training Centre in Cognitive Computing for Medical Technologies
by David Grayden Nov. 7, 2018

Nov. 7, 2018

Current PhD Project Openings at the ARC Training Centre in Cognitive Computing for Medical Technologies We are seeking Expressions of Interest from potential Graduate Researchers to work on the following PhD projects in Australia. These project are embedded within the Centre, where up to 14 PhD students, 5 post-doctoral researchers, and 11 University of Melbourne staff will collaborate across 4 research streams with researchers at IBM Research and a number of Australian Universities, including The University of Melbourne, RMIT University, the University of South Australia, and Western Sydney University. Each student will be jointly supervised by Universities and IBM Research and will spend at least 12 months of their candidature working on site at an IBM Research laboratory. These positions are supported by a scholarship and a supplemented living stipend of A$34,848 per annum. Projects available: 1. Context-specific clinical decision support leveraging clinical practice guidelines 2. Multi-document summarisation supporting clinical evidence review 3. Seizure forecasting using neural networks 4. Deep learning for fitting neural mass models to EEG 5. Brain-computer interfaces for low-powered mobile/wearable devices 6. Multimodal brain-computer interfaces for augmented reality and virtual reality applications If interested, please visit: http://aimedtech.org.au/phd-openings.html Regards, David Professor David B. Grayden Head of Department Dept of Biomedical Engineering Melbourne School of Engineering The University of Melbourne, Victoria 3010 Australia http://www.bme.unimelb.edu.au | https://www.linkedin.com/in/dgrayden [cid:image001.jpg@01D1F264.94C20650] This email and any attachments may contain personal information or information that is otherwise confidential or the subject of copyright. Any use, disclosure or copying of any part of it is prohibited. The University does not warrant that this email or any attachments are free from viruses or defects. Please check any attachments for viruses and defects before opening them. If this email is received in error please delete it and notify us by return email.

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One fMRI MVPA Post-Doc (very competitive salary) 5 year position available under an ERC Starting Grant on the organization of object knowledge
by Jorge Almeida Nov. 6, 2018

Nov. 6, 2018

The Proaction Laboratory (Perception and Recognition of Objects and Actions; http://gaius.fpce.uc.pt/pessoais/jorgealmeida/proaction_home.html; Jorge Almeida’s Lab) at the University of Coimbra (www.uc.pt) Portugal is looking for a motivated and bright Post-doctoral researcher to work on an ERC Starting Grant project (ContentMAP) on the neural organization of object knowledge. In this project we will explore how complex information is topographically organized in the brain using fMRI and state of the art analytical techniques, as well as computational approaches, and neuromodulation. Excellent understanding of and experience with fMRI and data analysis is required. Strong programming skills (matlab, python, etc.) are also a requirement. Experience with data analysis techniques using MVPA and other multivariate approaches (e.g., Representation Similarity Analysis). Very good English (oral and written) communicative skills are necessary. The position is for a maximum of 5 years, and will start in February 2019. The position involves no formal teaching (unless the candidate wants to). It does involve, however, lab mentoring. The salary is extremely competitive – between 2200 and 2400 euros per month (dependent on experience), tax free (annual 26400-28800 euros tax free). This value is on par with the average salaries at top American institutions, as well as London, Paris, etc. However, the cost of living in Portugal (and particularly in Coimbra) is much lower. According to Numbeo, 2400 euros would be equivalent to 4850 pounds in London/4800 euros in Paris/6615 USD in Boston/6210 USD in Los Angeles/ 8330 USD in New York). The researcher will work directly with Jorge Almeida in Coimbra, but the laboratory has extensive collaborations with researchers throughout the world. In fact, there may be the option of spending some time in another lab as part of the position. The researcher will also be encouraged to develop her/his own projects and look for additional funding so that the stay can be extended. We have access to a 3T MRI scanner with a 32-channel coil (with EEG inside the scanner), to tDCS with neuronavigation, and to a fully set psychophysics lab. We have EEG and eyetracking on site. We also have access, through other collaborations, to a 7T scanner. Finally, the University of Coimbra is a 700 year old University and has been selected as a UNESCO world Heritage site. Coimbra is one of the most lively university cities in the world, and it is a beautiful city with easy access to the beach and mountain. The deadline for the application is NOVEMBER 20, but you should apply as soon as you can, as we may fill in the positions sooner than the deadline if there are candidates with a superb fit with the requirements and project. The interested candidates should email Jorge Almeida for questions and applications. Please send an email with the subject “Post-doc position underERC - ContentMAP” with your*curriculum vitae, list of publications, 2 reference letters, and a short description of your experience in the field and how you fulfill the requirements (fit with the position)* to: jorgealmeida(a)fpce.uc.pt.

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Research internship for 2nd year master student in Toulouse, France
by MASQUELIER Timothee Nov. 5, 2018

Nov. 5, 2018

TOPIC: Spiking neural networks for bird song detection SUPERVISORS: Timothée Masquelier (computational neuroscience) and Thomas Pellegrini (machine learning for audio processing) STARTING DATE: early 2019 DURATION: 5 months PLACE: Toulouse, France (Centre de Recherche Cerveau et Cognition and Institut de Recherche en Informatique de Toulouse) STIPEND: 560€/month The goal of the internship is to use spiking neural networks (SNN) to detect bird songs in audio recordings. Several learning rules will be evaluated, including spike-timing-dependent plasticity (STDP). More information: https://www.dropbox.com/s/psvqubjdlral6zf/Masquelier-Pellegrini-AO%20M2%20T… We are looking for an outstanding student with a strong quantitative background (computer science, physics, applied maths...) and a keen interest in neuroscience. Applicants should send their CV and a brief statement of purpose to: timothee.masquelier(a)cnrs.fr and Thomas.Pellegrini(a)irit.fr Informal enquiries are welcome.

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Postdoc at Aix-Marseille University in computational modelling of basal-ganglia-cortico-cerebellar circuits
by BATTAGLIA Demian Nov. 4, 2018

Nov. 4, 2018

Applications are invited for a: POSTDOCTORAL POSITION at Aix-Marseille University (southern France) under the joint mentoring of Dr. Demian Battaglia (Institute for Systems Neuroscience - INS) and Dr. Nicole Malfait (Institut de Neurosciences de la Timone - INT). This two-years position is funded by the project ANR (Agence National de la Recherche) “SENCE - Movement disorders in Parkinson’s disease: The role of somatoSENsory deficits and CErebellar anomalies”, involving researchers from Aix-Marseille University and the University of Oxford, as well as clinicians of the Hôpital de la Timone (AP-HM). In the context of this project, behavioral, electrophysiological (EEG/subthalamic nucleus LFP) and neuroimaging data will be recorded in patients with Parkinson's disease, under different medication (ON/OFF L-Dopa) and deep brain stimulation (DBS) conditions. In particular, effects of conventional continuous “open-loop” and "closed-loop" (adaptive) DBS will be contrasted. Rich expertise will be thus available in psychophysics and electrophysiology of sensorimotor systems (Nicole Malfait, INT; Huiling Tan, University of Oxford), structural and functional neuroimaging analyses (Olivier Coulon, INT), basal ganglia involvement in sensorimotor coordination (Andrea Brovelli, INT), and DBS (Alexandre Eusebio, AP-HM; Huiling Tan, University of Oxford) and theoretical and computational modelling of oscillating circuits dynamics (Demian Battaglia, INS). The postdoctoral fellow will participate to the design of circuit models (mean-field and spiking) with realistic anatomy, including known basal ganglia/cortical loops, as well as connections between basal ganglia and cerebellum, whose role has been until now only poorly studied. It has indeed recently been hypothesized that basal ganglia deregulation may directly interact with cerebellar predictive functions contributing to movement disorders in Parkinsons’s disease. Computational simulations of extended BG–cortex–cerebellum circuits will be used to reverse engineer circuit mechanisms responsible for the transition from normal to pathological oscillatory dynamics –also in relation to Dopamine levels– and to model and optimize the impact of adaptive deep brain stimulation protocols. Candidates should have already acquired experience in the computational modelling of neural circuits during their PhD. Previous experience in the modelling of BG circuits is a plus. Candidates should be able to work in a dynamic, interdisciplinary and international work environment. Salary corresponds to French national guidelines (~2K € net per month, experience-dependent), with travel and equipment funds. The successful candidate will integrate the Theoretical Neuroscience Group at the Institute for Systems Neuroscience (INS), located on the same campus as the Institut des Neuroscience de la Timone (INT) and the Hôpital de la Timone (AP-HM). The integrative and clinical neuroscience community in Marseille is among the most lively in Europe and Marseille is a vibrating city, with wonderful natural surroundings and home to the largest French-speaking university in the world, with an emphasis on interdisciplinary studies. Interested candidates should send a cv, a brief description of qualifications and research interests and the name of two reference contacts to both the co-directors: Demian Battaglia demian.battaglia(a)univ-amu.fr<mailto:demian.battaglia@univ-amu.fr> Nicole Malfait nicole.malfait(a)univ-amu.fr<mailto:nicole.malfait@univ-amu.fr> Feel free to inquire for further information. Applications from under-represented categories in STEM sciences are welcome and supported.

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Postdoc Position in Neural Data Analysis, University of Edinburgh
by Arno Onken Oct. 30, 2018

Oct. 30, 2018

The School of Informatics, University of Edinburgh, invites applications for a full-time, fixed term Research Associate position on the project "Novel techniques for stochastic modelling of time-dependent multivariate relationships with application to primary visual cortex", funded by the UK Engineering and Physical Sciences Research Council (EPSRC), and directed by Dr Arno Onken (PI). The successful candidate will contribute to the development of a new framework for analysing multi-modal and multi-scale neural recordings. Moreover, the candidate will apply this framework to analyse activity of large neural populations recorded from awake mice during a virtual reality task by experimental project partner Dr Nathalie Rochefort. Candidates should have a PhD (or near completion) in a quantitative discipline (Mathematics, Computer Science, Physics, Computational Neuroscience or related), good software development skills and a keen interest in interdisciplinary research. A background in neuroscience is desirable, but not essential. The post is full time and fixed term at UE07: £33,199 - £39,609 pa. The post is available from 1st March 2019 for 36 months until the scheduled end of the project at 28th February 2022. For further information, please visit the vacancy website at: https://www.vacancies.ed.ac.uk/pls/corehrrecruit/erq_jobspec_version_4.jobs… Informal enquires can be made to Dr Arno Onken <aonken(a)inf.ed.ac.uk>. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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PhD in Cognitive Sciences at UC Irvine
by Jeff Krichmar Oct. 30, 2018

Oct. 30, 2018

Dear colleagues, The Department of Cognitive Sciences at UC Irvine has a number of openings for new graduate students starting Fall of 2019. We are in the process of expanding our graduate program, so please feel free to forward this information to any interested parties. All this information and more can be found via cogs.ci. Our department specializes in • Computational and mathematical cognitive modeling • Cognitive neuroscience • Visual and auditory perception • Attention and representation • Learning and development • Memory and language • Judgment and decision making ... and is generally strong in the use of leading technologies such as EEG, fMRI, and robotics, and of modern research tools such as computational methods, big data, and Bayesian statistics. We offer PhD degrees in Cognitive Sciences with an optional specialization in cognitive neuroscience and an optional joint degree (MS/PhD) in Statistics. We also take pride in offering excellent financial packages to our graduate students, including at least five years of guaranteed support, health insurance, research funding, and more. These positions are also open to international students with appropriate academic qualifications (i.e., a Bachelor's degree in a relevant field). This year's deadline to apply is December 1, 2018. We are happy to answer questions you or your students might have. Best, Joachim & Jeff -- Joachim Vandekerckhove Associate Professor Department of Cognitive Sciences Department of Statistics University of California, Irvine Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma

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Faculty position at the University of Minnesota, School of Mathematics
by Duane Nykamp Oct. 30, 2018

Oct. 30, 2018

The School of Mathematics at the University of Minnesota has identified Mathematical Biology, including Computational Neuroscience, as a priority area for hiring and invites qualified candidates to apply. Current areas of focus in the department are cancer modeling, cell motility, continuum mechanics in biology, neuroscience, and stochastic processes. Application available at https://www.mathjobs.org/jobs/jobs/12436.

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Postdoctoral Position - BRAIN Initiative
by Woolnough, Oscar Oct. 29, 2018

Oct. 29, 2018

POSTDOCTORAL RESEARCH POSITIONS FUNDED BY BRAIN INITIATIVE GRANT Postdoctoral research positions are available in the lab of Nitin Tandon in Houston. This position is funded by a BRAIN Initiative U01 grant project that uses electro-corticographic (ECoG) recordings and fMRI on a large cohort (n>80) to evaluate psycholinguistic models of reading and speech production to create network level representations of language. Collaborators on the project include Greg Hickok, Stanislas Dehaene, Nathan Crone and Xaq Pitkow; the post-doc will benefit from a close interaction with these experts in the fields of reading, semantics, speech production and computational neuroscience. The selected individuals are expected to be a highly motivated team players with a passion to study cognitive processes using imaging, direct recordings and closed-loop cortical stimulation in humans. They will be responsible for 1) data collection in the epilepsy monitoring unit and in the MRI scanner 2) ECoG and/or fMRI data analysis using analysis pipelines existent in the lab and via the development of innovative analytic strategies including machine learning and AI approaches 3) data presentation at conferences and manuscript preparation. The selected individuals must have a Ph.D. in a field relating to: neuroscience, psychology, cognitive science, mathematics, electrical engineering or computer science. Previous experience in neural time series data analysis, functional imaging studies or studies of language and speech production are desirable – but not crucial. They must possess the ability to independently code in any or all of the following: MATLAB, R or Python. Given the multiple unpredictable variables and privacy issues around data collection in human patients, the individual must possess high ethical and professionalism standards, be able to adapt to a changing environment, reorganize schedules dynamically, and work with short deadlines. A strong publication record and excellent academic credentials are highly desirable. CONTACT DR. NITIN TANDON: Nitin.Tandon(a)uth.tmc.edu<mailto:Nitin.Tandon@uth.tmc.edu> Candidates who are attending the Society for Neuroscience annual meeting at San Diego in November should reach out to schedule a meeting.

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SfN 2018 - Visit the Bernstein Network Computational Neuroscience at booth #4325
by Kerstin Schwarzwaelder Oct. 29, 2018

Oct. 29, 2018

Dear all, The Bernstein Network Computational Neuroscience will be an exhibitor at the SfN Meeting 2018. Please find us at the NEUROSCIENCE IN GERMANY booth #4325. The Bernstein Network will present: * research fields * study and training programs * open positions * research and funding opportunities * infrastructural facilities Furthermore, the German Neuroinformatics Node (G-Node) will present their data management services for organizing, sharing, and publishing research data. Demo presentations times are: Sunday, Monday, Wednesday (Nov 4, 5, 7) 10am - 12pm and 3pm - 5pm, or by individual appointment (mail to: info(a)g-node.org<mailto:info@g-node.org>). We are looking forward to welcoming you at booth #4325! Best regards, Kerstin Schwarzwaelder -- 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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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University
by Murray, John Oct. 29, 2018

Oct. 29, 2018

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center in Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date from mid to late 2019. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a Curriculum Vitae, selected reprints, contact information for three references, and a statement of research interests including the laboratories of interest at Yale. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu> Applications will be reviewed as they are received, but priority will be given to those received on or before January 12th, 2019. For any questions, please contact John Murray<mailto:john.murray@yale.edu?subject=Swartz%20fellowship>. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. http://neurojobs.sfn.org/jobs/10584092/<https://urldefense.proofpoint.com/v2/url?u=http-3A__neurojobs.sfn.org_jobs_…> John D. Murray ----------------------------------------------- Assistant Professor Department of Psychiatry Yale University School of Medicine murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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Post-doctoral positions: Neurobiology of Learning and Memory in Health and Disease
by Annabelle Singer Oct. 27, 2018

Oct. 27, 2018

Post-doctoral positions available: Neurobiology of Learning and Memory in Health and Disease Description Multiple postdoctoral positions are available in the Singer lab at Georgia Institute of Technology and Emory University School of Medicine studyinghow neural activity produces memories and how stimulating neural activity affects memory and immune function in health and Alzheimer’s disease. To find out more about the Singer Lab, see our lab website http://singer.gatech.edu/ with our recent publications. Major Responsibilities: The successful applicants will examine (a) how neural activity produces memories of experiences or (b) how novel forms of non-invasive neural stimulation affects neural circuits, immune responses, and learning and memory. These projects will focus on the hippocampal circuit and related structures in health and Alzheimer’s disease using a variety of advanced neuroscience techniques. One set of projects will utilize virtual reality behavior, in vivo recordings from many single cells, histological analysis, and innovative data analysis methods in rodents. Another set of projects will use MRI, PET imaging, histological analysis, and molecular signaling assays in both rodents and human patients. This research involves collaboration with other groups at Georgia Tech and Emory and therefore a successful applicant must work well in a collaborative environment. These projects are fully funded for 3-5 years, pending satisfactory annual performance review. The projects offer significant opportunities to perform pioneering research and be trained in cutting-edge neuroscience techniques. All lab members are actively trained in scientific methods and mentored in career development. Applicants will have extensive opportunities to interact with the dynamic, exciting, and collaborative neuroscience and neuroengineering communities at Georgia Tech and Emory University in one of the most affordable and livable major cities of the US. Qualifications The ideal candidates will have a PhD in Neuroscience, Biomedical Engineering, or a related discipline and a record of leading scientific projects to completion. Previous experience with in related techniques including vivo experimentation, histology, behavior, electrophysiology, human or rodent MRI, and/or learning and memory is preferred. Candidates with experience performing advances data analysis or with quantitative backgrounds like signal processing, electrical engineering, and/or programming are encouraged to apply. Candidates should have excellent communication skills and the ability to both collaborate with a team and lead projects. How to Apply: If you meet these requirements and are interested in this position, please provide your detailed CV, a cover letter stating your research interests, and names and contact information for two or three references to Annabelle Singer: asinger(a)gatech.edu Department Description The Wallace H. Coulter Department of Biomedical Engineering at Georgia Techis part of a vibrant biomedical community in Atlanta that includes the Emory School of Medicine, Center for Disease Control and Prevention (CDC), Winship Cancer Institute, Children’s Healthcare of Atlanta (CHOA), Georgia ImmunoEngineering Consortium, Institute for Electronics and Nanotechnology, Petit Institute for Bioengineering and Bioscience, and more. This rich scientific environment provides unique and unparalleled research opportunities, including seminars given by leaders in science and engineering from throughout the U.S. and abroad, opportunities for collaborations, exposure to diverse research programs, and sophisticated core facilities. As such, we offer the best of internationally renowned institutions. The partnerships have created an outstanding undergraduate program and graduate program, now ranked No. 2 in the world. Georgia Tech is an Affirmative Action/Equal Opportunity Employer. Annabelle Singer Assistant Professor Coulter Dept. of Biomedical Engineering Georgia Tech & Emory University 313 Ferst Drive Atlanta, GA 30332 Web: http://singer.gatech.edu/ Email: asinger(a)bme.gatech.edu

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DPG Focus Session "Collective dynamics in neural networks"
by Johannes Zierenberg Oct. 26, 2018

Oct. 26, 2018

Dear all, It is our pleasure to invite you to the focus session "Collective dynamics in neural networks" at the upcoming DPG (German Physical Society) spring meeting: 31 March - 05 April 2019 Regensburg, Germany The aim of the focus session is to provide a forum for discussions on the emergence of a rich set of collective dynamics in neural networks from a physicist perspective. We want to discuss principles that determine collective dynamics as well as the transitions between them, e.g., the role of local learning rules, topology and noise. The focus session consists of two invited talks (Moritz Helias and Anna Levina), selected contributed talks, and a poster session. If you are interested, we encourage you to contribute by submitting an abstract (http://regensburg19.dpg-tagungen.de/programm/abstract) until 01.12.2018 (Bereich: BP). In any case, we welcome you to attend the focus session. Of course, you are more than welcome to share this announcement with your colleagues. Best wishes, Johannes Zierenberg and Viola Priesemann -- Dr. Johannes Zierenberg Postdoctoral Researcher Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany https://zierenberg.github.io

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Doctoral Scholarships
by Christopher Laurie Buckley Oct. 26, 2018

Oct. 26, 2018

Hi all, Our new round (2019) of Leverhulme Doctoral Scholarships ‘From Sensation and Perception to Awareness’ at the University of Sussex are now online. See, https://www.sussex.ac.uk/sensation/applications <https://www.sussex.ac.uk/sensation/applications> Please have a look at all the great projects. Among the offered projects is one with me on the free energy principle, cognition and robotics so please get in touch if your interested. Best, Chris Dr Christopher L. Buckley Senior Lecturer in Neural Computation Evolutionary and Adaptive Systems Group Sussex Neuroscience Department of Informatics and Engineering University of Sussex Falmer Brighton, UK Twitter: @drclbuckley email: c.l.buckley(a)sussex.ac.uk <mailto:c.l.buckley@sussex.ac.uk>

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Open PhD and Postoc positions in Berlin: Learning in spiking neural networks
by Gütig, Robert Oct. 25, 2018

Oct. 25, 2018

The newly formed research group "Mathematical modeling of neuronal learning", headed by Robert Gütig is seeking highly motivated researchers at the PhD and postdoctoral level to study information processing and learning in spiking neural networks. The group is funded by the Berlin Institute of Health and located at the Charité Medical School in the center of Berlin. Our close proximity to the NeuroCure Cluster of Excellence and the Bernstein Center for Computational Neuroscience facilitates close interactions between our group and Berlin’s vibrant and growing neuroscience community. We use analytical and numerical modeling techniques to identify the computational principles underlying spike based information processing and learning in the central nervous system and to understand how these principles are implemented by biological processes. Open projects center around, but are not limited to, the recently developed tempotron family of spiking neuronal network models (e.g. Gütig & Sompolinsky 2006; Gütig 2016). The positions are available immediately. Applicants should have a strong background in physics, mathematics, computer science, computational neuroscience or a related field and a keen interest in neurobiology and machine learning. Good programming skills (e.g. in C and/or Python) are important and experience with numerical simulations highly beneficial. Previous exposure to neuroscience is preferred but not required. Applications will be considered until all positions are filled. Please send your application or questions to Robert Gütig (robert.guetig at charite.de). When applying please include a detailed CV (including degrees, current academic transcripts, and publication record) and the names and contact information of two referees.

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PhD positions in the Neural Reckoning group at Imperial College
by Dan Goodman Oct. 25, 2018

Oct. 25, 2018

One or more PhD positions in theoretical and computational neuroscience are available in the group of Dan Goodman at Imperial College London (http://neural-reckoning.org) I am interested in supervising students with a strong mathematical, computational or neuroscience background. Projects could be carried out in several possible areas relating to the work in the group. Some suggestions for topics that would be interesting to me are below, but I'm very happy to consider other possibilities. In addition to working within the group, studying at Imperial College provides excellent opportunities for interacting with other theoretical and experimental researchers, both at Imperial and in the many neuroscience groups in London. Suggested areas include: * Spiking neural networks * Auditory and other sensory systems * Machine learning and neuroscience * Simulation and data analysis For more detail, see: http://neural-reckoning.org/openings.html Applicants should initially send me a brief CV and cover letter with a description of research interests or a proposed project, and will eventually have to formally apply through the standard Imperial College mechanism (http://www.imperial.ac.uk/electrical-engineering/study/phd/) There are no strict deadlines, although chances of success are higher for earlier applications as I will consider them as they arrive. EU students from outside the UK are particularly encouraged to apply before Christmas. Funded offers made before Brexit day (March 29) will be honoured by Imperial no matter what happens in the Brexit negotiations, and the last funding panel meeting before that will probably be in early February. So, applying before Christmas means we will have time to process the application and arrange an interview before that meeting. Imperial College requirements: * General requirements: https://www.imperial.ac.uk/study/pg/apply/requirements/ * Country-specific minimum grades: https://www.imperial.ac.uk/study/pg/apply/requirements/pgacademic/ Dan Goodman

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SoAIR 2019: IEEE-RAS Spring School on "Social and Artificial Intelligence for User-Friendly Robots" in Japan
by Amir Aly Oct. 25, 2018

Oct. 25, 2018

CALL FOR APPLICATIONS **Apologies for cross posting ** We are pleased to call for applications for the IEEE-RAS spring school on: "*Social and Artificial Intelligence for User-Friendly Robots*" * Which will be held from 17-24 March, 2019 in Shonan Village, Japan *after the Human-Robot Interaction (HRI) conference that will be held in the near South Korea. *Webpage: **https://inic8.bitbucket.io/SoAIR19/* <https://inic8.bitbucket.io/SoAIR19/> *I. Aim and Scope *Autonomous and intelligent systems are progressively moving into spaces, which have previously been predominantly shaped by human agency. Unlike in the past where machines obediently served their human operators, machines now increasingly act without the intervention of a human. Artificial intelligence is meeting new challenges in the world, though human-like intelligence may still be a distant goal. Robots in factories are coming out of their cages. Autonomous cars are being tested on streets with regular human-driven cars. The private household is changing with the appearance of not only robotic vacuum cleaners, but also with the first-generation of social robots and smart devices. The challenges that face both the robotics and artificial intelligence communities are how the necessary intelligence for such new environments can be created as well as how to make artificial agents capable of not only solving tasks at hand but also considering social environments around them during interaction with human users so as to behave appropriately. Within the school, we plan to address the tension created by the balance between task-specific artificial intelligence and the demands of sociability required to function effectively in human-centered environments. ** *This spring school is a Technical Education Program (TEP) endorsed and supported by IEEE-RAS*. ** *The school aims at bridging the gap between social and cognitive Human-Robot Interaction (HRI), Artificial Intelligence (AI), and Autonomous Vehicles (AV) through high-level talks and hands-on workshops (the program will be announced soon).* *II. Keynote Speakers (More Speakers in HRI, AI, and Autonomous Vehicles will join the list soon): * 1. * Jun Tani *– Okinawa Institute of Science and Technology (OIST), Japan 2. *Daniele Magazzeni *– King's College London, UK 3. * Yukie Nagai *– National Institute of Information and Communications Technology (NICT), Japan 4. * Tetsuya Ogata* – Waseda University, Japan 5. *Maya Cakmak *– University of Washington, USA 6. *Mohamed Chetouani *– University of Pierre and Marie Curie (UPMC), France 7. *Agnieszka Wykowska *– Italian Institute of Technology (IIT), Italy 8. *Tetsunari Inamura *– National Institute of Informatics (NII), Japan 9. *Amit Kumar Pandey *– SoftBank (Aldebaran) Robotics, France 10. *Francesco Maurelli *– Jacobs University, Germany (*A special talk about preparing funding proposals*) *III. Submission * The applications must include the following files (combined into one file). No other documents would be necessary (More information is available on the school's webpage). 1. *Curriculum vitae*: A two pages or less of CV detailing relevant aspects of the candidate's academic career that demonstrates her/his relevance to the school theme. 2. *Research abstract*: A 200 word research abstract that the candidate intends to present during the school. 3. *Letter of recommendation*: A short letter from the academic advisor or the employer of the candidate supporting her/his application. *Application submission*: Please use the following EasyChair web link:* Application Submission <https://easychair.org/account/signin.cgi?timeout=1;key=79456763.59XbW247MFR…>.* *IV. Important Dates * 1. Application submission: *20-December, 2018 * 2. Notification of acceptance: *28-December, 2018 * 3. Spring School: *17-24 March, 2019* *V. Organizers * 1. *Amir Aly *– Ritsumeikan University – Japan 2. *Franziska Kirstein *– Blue Ocean Robotics, Denmark 3. * Shashank Pathak *– Visteon Corporation, Germany --------------------- *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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Workshop application deadline extended: "Neuronal circuits in motor behavior" - OIST, Okinawa
by Marylka Yoe Uusisaari Oct. 24, 2018

Oct. 24, 2018

Dear all, It is our pleasure to announce the workshop "Neuronal Circuits in Motor Behavior" (NCMB) that will take place at OIST, Okinawa, February 18 - 20th, 2019. Among the numerous functions performed by the brain, creating precise, efficient movements is the most fundamental one without which no behavior could be expressed. The importance of motor control is accentuated by the fact that multiple distinct brain systems are involved in it, and thus understanding the neuronal codes leading to the skilled animal or human movements critically depends on researching the systems in a synergistic manner. The workshop brings together established scientists and rising leaders from computational, systemic neuroscience and behavioural fields, to explore and portray the various aspects and constraints of animal movement and the neuronal circuits underlying their execution. The three days will comprise of talks, poster presentations as well as more free-form discussion sessions aiming to foster collaboration. We encourage applications from students, post docs and faculty across any related fields, and *will cover travel and accommodation *for 30 accepted attendees, based on the background and motivation statements. More information, including application webform, can be found at https://groups.oist.jp/ncmb. *Note:* application deadline has been extended to November 15th, 2019. Best wishes, Marylka Yoe Uusisaari & NCMB organizers

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Faculty position in neuroscience
by Keller, Asaf Oct. 23, 2018

Oct. 23, 2018

The Department of Anatomy and Neurobiology<http://neurobiology.umaryland.edu/> is recruiting tenured/tenure-track faculty, at all ranks. We are interested in candidates with quantitative skills whose research complements existing strengths in the Department. Although we will consider all relevant research areas, we are particularly interested in research focusing on pain, neural circuits of motivated behaviors & addiction, sensory perception or neurodegeneration. Rank and tenure status is dependent on candidate’s qualifications. Candidates should have a strong record of scholarly activity. Highest priority will be given to candidates with an independent, funded research program. We offer an outstanding intellectual and collaborative environment with highly competitive salary and recruitment packages. All department faculty are members of the Graduate Program in Life Sciences<http://lifesciences.umaryland.edu/> interdisciplinary Program in Neuroscience<http://lifesciences.umaryland.edu/neuroscience>. Candidates should submit, as a single PDF to ANfacsearch(a)som.umaryland.edu<mailto:ANfacsearch@som.umaryland.edu>: curriculum vitae, brief statement of research interests and vision, and contact information for three references. Candidates should submit their application to the attention of Asaf Keller, Chairs of Faculty Search Committee.

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workshop “Cortical models for visual perception and imaging applications” at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)
by Benedetta Franceschiello Oct. 23, 2018

Oct. 23, 2018

Dear all, It is our pleasure to invite you to attend the workshop “Cortical models for visual perception and imaging applications” (https://liftme.sciencesconf.org/) that we are organising at the Institut de mathématiques de Jussieu - Paris Rive Gauche (IMJ-PRG)(room 15-16-413) on November 22nd, in partnership with the workshop “Géométrie et représentation de la couleur” (link: http://www.gdr-isis.fr/index.php?page=reunion&idreunion=359) organised on November 21st by Edoardo Provenzi. The aim of the workshop is to gather people working in the field of mathematical and neurophysiological modelling of human brain, from a theoretical and applied point of view, with particular emphasis on imaging methods based on visual perception. An updated schedule will be provided at this page: https://liftme.sciencesconf.org/program The registration is free, but mandatory for organisation purposes, *by November 16*. To register you should log-in to the website with your HAL credentials (on the top right corner of the page https://liftme.sciencesconf.org/) If you encounter any problem in the registration process, please send an e-mail to liftme(a)sciencesconf.org Best wishes, The organisers Luca Calatroni, Valentina Franceschi, Benedetta Franceschiello, Dario Prandi, Mario Sigalotti

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Computational Neuroscience Software Developer / Research Associate Position
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

Conducting interviews at SFN for a Brown University Computational Neuroscience Position Applications are invited for a research software developer / research associate position in the lab of Dr. Stephanie Jones at Brown University in Providence, RI. The level of the hire depends on experience. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health and disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. The software developer / research associate will work with a team of researchers at Brown, Mass General Hospital, and Yale, to help develop a new software tool for circuit level investigation of human magneto- and electro-encephalography (MEG/EEG) signals: Human Neocortical Neurosolver, HNN (https://hnn.brown.edu) <https://hnn.brown.edu)>. The goal of this software is to provide the community with a user friendly tool to develop and test hypotheses on the circuit origin of their data. The hired candidate will help support and expand HNN’s capabilities, including software development and working with researchers to apply HNN to specific neuroscience questions. Duties will also include development of tutorials, online resources, and participation in workshops aimed at training the community in the use and applicability of HNN. Candidates should have a Bachelor’s, Master’s, or PhD in computer science, neuroscience, biomedical engineering, and/or related field. Strong Python programming skills are required, and experience with neural modeling, particularly NEURON, is preferred. Familiarity with MEG/EEG analysis methods and/or non-invasive brain stimulation is also beneficial. Candidates should be able to work in a dynamic, interdisciplinary, and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Postdoctoral researchers - computational modeling, EEG, TMS
by Stephanie Jones Oct. 22, 2018

Oct. 22, 2018

Conducting interviews at SFN for a Brown University Human Imaging & Computational Neuroscience Position Applications are invited for a postdoctoral position in the lab of Dr. Stephanie Jones at Brown University. Our group combines human electrophysiological recordings and computational neural modeling techniques to study the mechanisms and meaning of brain dynamics in health in disease. We collaborate extensively with animal electrophysiologists and clinicians to develop data constrained models that are translationally relevant. We are expanding our research efforts to including non-invasive brain stimulation. A postdoctoral position is available to integrate simultaneous human EEG and transcranial magnetic stimulation (TMS) in humans, with computational neural modeling developments. The postdoctoral researcher will help expand our new software tool Human Neocortical Neurosolver (https://hnn.brown.edu) <https://hnn.brown.edu)> for circuit level interpretation of EEG/MEG signals to include TMS studies. She/he will also help with the design, implementation and analysis of our TMS/EEG experiments. Candidates should have a PhD in neuroscience, computational neuroscience, computer science, applied mathematics, biomedical engineering, and/or related field. Strong quantitative and programming skills are required. The ideal candidate would have experience in computational neuroscience methods applied to human EEG and brain stimulation data. However, experience in all areas is not required. Candidates should be able to work in a dynamic, interdisciplinary and fun work environment. Interested candidates should send a cv and a brief description of qualifications and research interests to the Jones lab manager Dylan_S_Daniels(a)brown.edu <mailto:Dylan_S_Daniels@brown.edu>. ******************************************* Stephanie R. Jones, PhD Associate Professor Brown University Department of Neuroscience Stephanie_Jones(a)Brown.edu https://blogs.brown.edu/joneslab/ <https://blogs.brown.edu/joneslab/> Human Neocortical Neurosolver https://hnn.brown.edu <https://hnn.brown.edu/>

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Postdoc at Harvard in computational neuroscience
by Blum, Kenneth I. Oct. 22, 2018

Oct. 22, 2018

The Swartz Program at Harvard University has an opening for a postdoctoral fellow in theoretical and computational neuroscience. Based on a grant from the Swartz Foundation<https://urldefense.proofpoint.com/v2/url?u=http-3A__www.theswartzfoundation…>, Harvard University established the Swartz Program in Theoretical Neuroscience. The Swartz Program supports a program in computational neuroscience, to foster research collaborations between theorists and experimentalists. Fellowships last for two years, and cover a stipend and support for travel to the annual Swartz meeting on computational neuroscience. Postdocs join a vibrant group of experimental and theoretical neuroscientists at Harvard's Center for Brain Science. Harvard's Swartz Program is led by its Director, Haim Sompolinsky. The Center for Brain Science includes junior and senior faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry. Interested applicants should send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (haim(a)fiz.huji.ac.il<mailto:haim@fiz.huji.ac.il>), Kenneth Blum (kenneth_blum(a)harvard.edu<mailto:kenneth_blum@harvard.edu>), or our newest faculty member, Cengiz Pehlevan (cpehlevan(a)seas.harvard.edu<mailto:cpehlevan@seas.harvard.edu>; https://pehlevan.seas.harvard.edu/) Applications should have “Swartz Fellowship” in the subject line. Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.

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Postdoctoral position in machine learning, event-based computer vision and spiking neural networks
by sio Oct. 22, 2018

Oct. 22, 2018

The Vision and Natural Computation group from the Vision Institute, Paris, France, (http://www.institut-vision.org/en/) seeks experienced and outstanding applicants for a post-doctoral researcher in the fields of machine learning, event-based computer vision and spiking neural networks. The position is funded by the European Commission in the context of the European project ULPEC. The applicant will join the Vision and Natural Computation group, led by Pr R. Benosman. The team is the leading group in neuromorphic event based computation and active member of the international neuromorphic engineering community. It develops biology-inspired sensing and event-based technologies. The selected candidat will be working on designing the architecture and topology of spiking neural networks for pattern learning and recognition tasks, using the spike-based visual information provided by a neuromorphic camera. Spiking Timing Dependent Plasticity and Reservoir Computing based models will be in particular implemented, taking into account of their hardware feasibility (according to the performance and characteristics of ferroelectric memristors). The position will open in January 2019. Interested applicants should submit a detailed curriculum vitae with brief paragraphs of research interests, career goals and why you feel you are a good fit for the lab to " ryad.benosman at upmc.fr " and " sio-hoi.ieng at upmc.fr ". Please do also mention in the email earliest date at which you can join. S.H. ieng, PhD Vision and natural computation group, Vision institute. University Paris Sorbonnes,

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PhD opportunities at the MCEN group at the Basque Center of Applied Mathematics (Bilbao, Spain)
by Maurizio De Pitta Oct. 22, 2018

Oct. 22, 2018

Please share with your colleagues and anyone who could be interested. The Group of Mathematical, Computational and Experimental Neuroscience (MCEN; http://www.bcamath.org/en/research/lines/MCEN/description) at the Basque Center of Applied Mathematics (BCAM; http://www.bcamath.org/en/) in Bilbao (Spain) is seeking outstanding PhD students to work on several projects at the intersection of computational neuroscience, mathematical topology, biophysics and translational science. PhD projects currently available include (but are not limited to) : (Track A) 1. Control and tracking stability boundaries of neurons in real time via closed-loop computer- controlled electrophysiology. This will lead to intelligent machine brain interfaces, such as deep brain stimulators that can determine unstable states that lead to pathological oscillations (like in epilepsy); 2. Multiscale modeling of the biomolecular machinery that controls the various modes of neurotransmitter release for efficient synaptic communication. This includes feedback processes, such as the endocannabinoid system, that control the speed and frequency by which synaptic neurotransmitters are released. This critical process is thought to control pathological brain states; (Track B) 3. Mathematical modeling and development of analytical tools to study neuron-glial interactions (NGIs), from subcellular to network levels. Focus is both on mechanisms of learning at synaptic level and how NGIs could shape dynamics of cortical circuits in the healthy and diseased brain (More info: https://goo.gl/pJXEYJ) 4. Study of early cellular pathological markers for Alzheimer’s disease, with emphasis on neuron-glial interactions. The project is part of a strategic collaboration between BCAM/MCEN and Achucarro – the Basque Center for Neuroscience – and envisages a close collaboration with Dr. Carlos Matute’s group to test predictions from theoretical models in mouse models of Alzheimer’s disease (see also: https://goo.gl/Uifv2J) A fully-funded PhD scholarship of 4+1 years may be offered on competitive basis for ANY of the above projects (deadline : **Oct 29th, 2018**; 15:00 CET ; Info/Application : https://goo.gl/7CzNQr) A fully-funded PhD scholarship of 3 years is currently available for Project 4 ONLY (deadline : **Nov 6th, 2018**; 14:00 CET ; Info : https://goo.gl/Uifv2J; Application website : https://goo.gl/z72RzC) Candidates that are interested in any of the above topics, or would like to pursue a PhD in mathematical neuroscience are welcome to contact Drs. Serafim Rodrigues (Track A ; Webpage : https://goo.gl/tP9PBt; contact : srodrigues(a)bcamath.org) and Maurizio De Pittà (Track B ; Webpage : https://goo.gl/pJXEYJ; contact: mdepitta(a)bcamath.org) ----- Maurizio De Pitta' Research Fellow MCEN -- Group of Mathematical, Computational and Experimental Neuroscience BCAM -- Basque Center of Applied Mathematics https://sites.google.com/site/mauriziodepitta/home

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PhD Studentship at the University of Exeter: Building a model of the HypothalamicPituitary-Gonadal (HPG) axis
by Tsaneva-Atanasova, Krasimira Oct. 22, 2018

Oct. 22, 2018

Building a model of the HypothalamicPituitary-Gonadal (HPG) axis, BBSRC SWBio, PhD in Mathematics studentship (Funded) Ref: 3285 About the award Supervisors Lead Supervisor Professor Krasimira Tsaneva-Atanasov<http://emps.exeter.ac.uk/mathematics/staff/kt298>a, Department of Mathematics, College of Engineering, Mathematics and Physical Sciences, University of Exeter Additional Supervisors Professor Craig McArdle<http://www.bristol.ac.uk/clinical-sciences/people/craig-a-mcardle/index.html>, University of Bristol Dr Margaritis Voliotis<http://emps.exeter.ac.uk/mathematics/staff/mv286>, University of Exeter Location: University of Exeter, Streatham Campus, Exeter EX4 4QJ The SWBio DTP<http://www.bris.ac.uk/swbio/> is one of the 12 Doctoral Training Partnerships funded by the BBSRC to provide PhD training in areas of their strategic relevance. The SWBio DTP is a consortium comprising the Universities of Bristol (lead), Bath, Cardiff, Exeter, and Rothamsted Research. Together, these institutions present a distinctive cadre of bioscience research staff and students with established international, national and regional networks and widely recognised research excellence. The award: There are over 30 (including up to 5 CASE studentships) fully-funded 4 year studentships* available to start in September 2019 across a wide range of biosicence academic disciplines. This project is one of a number that are in competition for funding from the South West Biosciences Doctoral Training Partnership (SWBio DTP)<http://www.bristol.ac.uk/swbio/>. Up to 6 fully-funded studentships are being offered to start in September 2019 at the University of Exeter. Project Description: Gonadotropin-releasing hormone (GnRH) is secreted from hypothalamic neurones to control secretion of the gonadotropin hormones LH and FSH form the anterior pituitary, and thereby mediates central control of reproduction. It secretes in pulses and its effects are dependent on pulse characteristics (particularly pulse frequency). One of the most important recent discoveries in the field of reproduction is that of the KNDy system. This is a peptidergic neuronal oscillator that drives pulsatile GnRH secretion. It also mediates feedback effects of gonadal steroid hormones that are essential for key reproductive processes such as the timing of puberty and seasonal breeding (i.e. in farm animals) and the fine-tuning of gonadotropin secretion across the ovarian cycle. All of these components (hypothalamic pulse generator/pituitary pulse decoder/gonads) are absolutely essential for human reproduction so it is perhaps not surprising that all three are sites for therapeutic intervention, just as perturbation of any of them can cause infertility in disease states. We are convinced that mathematical and statistical approaches are required to fully understand such a complex system. To this end we have already generated a sophisticated mathematical model of the neuronal oscillator that we have trained on wetlab. data and are now using to explore possible mechanisms for modulation by gonadal steroids. Similarly, we have developed a mathematical model for the decoding of pulse dynamics by pituitary gonadotropes and have used this to explore cell-cell variability in responses to GnRH and its impact on information transfer. We now plan to take a similar approach to modelling effects of gonadotropin hormones on gonadal function, where we will have to introduce population dynamics as an additional feature (i.e. growth of granulosa cells before ovulation and formation of luteal cells thereafter). We then plan to simplify these sub-system models so that the components can be assembled into a meaningful model of the entire hypothalamo-pituitary-gonadal system. In this project the student will learn: • Mathematical modelling of the hypothalamic pulse generator, the pituitary pulse decoder and the effects of LH and FSH on gonadal cells. • Numerical optimisation by performing parameter fitting and sensitivity analysis using combination of available experimental data sets to parametrise and validate model components. • Simplification of the sub-system models (as informed by sensitivity analysis) and again, training on system wet-lab data. • Computational methods that allow the generation of testable model predictions regarding the reproductive system and its components across the lifespan. Eligibility To be eligible for a fully-funded studentship, you must meet both the academic and residence criteria. For UK/EU nationals who meet the residency requirements outlined by the BBSRC, the studentship will cover funding for 4 years (48 months) as follows. These awards might be available to part-time students, but only in exceptional circumstances. It is recommended you speak to the lead supervisor prior to submitting an application. • a stipend at the standard Research Council UK rate; currently £14,777 per annum for 2018-2019 • research and training costs • tuition fees (at the standard Research Councils UK rate) • additional funds to support fieldwork, conferences and a 3-month internship Please refer to the regulations<http://www.legislation.gov.uk/uksi/2007/779/pdfs/uksi_20070779_en.pdf> or Annex 1 of the Research Council Training Grant Guide<https://www.ukri.org/files/legacy/publications/rcuk-training-grant-guide-pd…> to confirm that you meet the residence criteria for a fully-funded studentship. Any further queries in relation to residency must be directed to the institution that you are applying to. Entry requirements Applicants should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Applicants with a Lower Second Class degree will be considered if they also have Masters degree or have significant relevant non-academic experience. In addition, due to the strong mathematical component of the taught course in the first year and the quantitative emphasis in our projects, a minimum of a grade B in A-level Maths or an equivalent qualification or experience is required. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.5 in any section by the start of the project. Alternative tests may be acceptable, please see http://www.bristol.ac.uk/study/language-requirements/profile-c/. Students from EU countries who do not meet the residency requirements may still be eligible for a fees-only award but no stipend. Applicants who are classed as International for tuition fee purposes are not eligible for funding. Please refer to the regulations<http://www.legislation.gov.uk/uksi/2007/779/pdfs/uksi_20070779_en.pdf> or Annex 1 of the Research Council Training Grant Guide<https://www.ukri.org/files/legacy/publications/rcuk-training-grant-guide-pd…> to confirm that you meet the residence criteria for a fully-funded studentship. The four universities have a very limited number of fully-funded 4 year studentships that EU nationals who do not meet the residency requirements would be eligible for. Please contact us for for more information. How to apply Apply now Please be aware you will be asked to upload the following documents: * CV * Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project. Please indicate your preferred project choice if applying for multiple BBSRC SWBio DTP projects. * Transcript(s) giving full details of subjects studied and grades/marks obtained. This should be an interim transcript if you are still studying. * Two academic referees - see information below about references. * If you are not a national of a majority English-speaking country you will need to submit evidence of your proficiency in English (see entry requirements above) The closing date for applications is midnight on Monday, 3 December 2018. Interviews will be held at the University of Exeter on 7 and 8 of February 2019. Reference information You will be asked to name 2 referees as part of the application process, however we will not expect receipt of references until the shortlisting stage. Your referees should not be from the prospective supervisory team. If you are shortlisted for interview, please ensure that you two academic referees email their references to the pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>, 7 days prior to the interview dates. Please note that we will not be contacting referees to request references, you must arrange for them to be submitted to us by the deadline. References should be submitted by your referees to us directly in the form of a letter. Referees must email their references to us from their institutional email accounts. We cannot accept references from personal/private email accounts, unless it is a scanned document on institutional headed paper and signed by the referee. If you have any general enquiries about the application process please email pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>. Project-specific queries should be directed to the primary supervisor. Selection process: Please note, the studentship selection process will take place in two stages: 1. The project supervisors will consider your application and may invite you to visit for an informal interview. You can apply for more than one BBSRC SWBio DTP project, although supervisors may take into account your interest and commitment to their particular project. If you apply for multiple projects, please indicate your preferred project choice in your letter of application. Each application for an individual project will be considered separately by the project supervisors. 2. After closure of applications, each supervisory team will then nominate their preferred applicant. A shortlist will be selected from these nominations and shortlisted applicants will be invited for interview on a selection day at the University of Bristol. Please note that nomination by a project supervisor therefore does not guarantee the award of a studentship. Data Protection During the application process, the University may need to make certain disclosures of your personal data to third parties to be able to administer your application, carry out interviews and select candidates. These are not limited to, but may include disclosures to: * the selection panel and/or management board or equivalent of the relevant programme, which is likely to include staff from one or more other HEIs; * administrative staff at one or more other HEIs participating in the relevant programme. Such disclosures will always be kept to the minimum amount of personal data required for the specific purpose. Your sensitive personal data (relating to disability and race/ethnicity) will not be disclosed without your explicit consent. Summary Application deadline: 3rd December 2018 Value: Tuition fees and an annual stipend allowance at Research Council rates, currently £14,777 per year for 2018-19 Duration of award: per year Contact: PGR Recruitment Office pgrenquiries(a)exeter.ac.uk<mailto:pgrenquiries@exeter.ac.uk>

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