- Comp-neuro - lists.cnsorg.org

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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Open Master, PhD and Postdoc positions at the "Theory of Neural Dynamics" at the MPI for Brain Research
by Tatjana Tchumatchenko Oct. 20, 2018

Oct. 20, 2018

Dear friends and colleagues, I would appreciate if you could spread the word among your Students and Postdocs. My group "Theory of Neural Dynamics" at the MPI for Brain Research is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). When applying please attach CV (with a publication record) and a current copy of academic transcripts. For more information, please contact Dr. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)brain.mpg.de https://brain.mpg.de/research/theory-of-neural-dynamics-group.html www.tchumatchenko.de

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Tenure Track Job at Emory University in Neural Circuit Mechanisms of Behavior
by Jaeger, Dieter Oct. 19, 2018

Oct. 19, 2018

The Department of Biology in the Emory College of Arts and Science in Atlanta, GA, USA, is seeking applications for a tenure-track faculty position at the assistant or associate professor level in experimental and computational neuroscience. A strong computational neuroscience group at Emory is anchored in the Department of Biology (http://www.biology.emory.edu) and is grounded in experimental preparations and neurobiological questions about the mechanisms underlying behavior and learning. We anticipate a hire focused on innovative approaches to understanding the function of brain circuits in a behavioral context. Such approaches may include optogenetics, cellular imaging, high-density electrophysiology, network simulations, or other cutting-edge neuroscientific methods. The ability to link theory and data analysis to experimental design in order to develop more predictive models of neural activity and behavior is critical. The successful candidate is anticipated to have a PhD in a relevant science or engineering field and postdoctoral experience in neuroscience-related research, and is expected to contribute to the Biology Department's teaching mission in the context of programs in quantitative theory and methods (http://quantitative.emory.edu) and neuroscience and behavioral biology (http://www.nbb.emory.edu) Interactions with experimentalists and theorists within Emory's rich, collaborative neuroscience community are encouraged. Emory has more than 100 laboratories participating in graduate programs in Neuroscience (http://biomed.emory.edu/PROGRAM_SITES/NS/) and Biomedical Engineering (http://www.bme.emory.edu) and spanning Emory College (Biology, Psychology, Physics, Anthropology), School of Medicine, Yerkes National Primate Research Center and Georgia Institute of Technology. Emory College's Theory and Modeling of Living Systems initiative (http://livingtheory.emory.edu/) provides a broader community for interaction with theorists in the life science. Applications should include a cover letter, curriculum vitae, a research statement, a teaching statement and three reference letters. In a separate statement or in the cover letter, we also ask candidates to reflect on their efforts in mentoring and teaching students from diverse backgrounds. Applications and reference letters must be electronically uploaded through Interfolio at http://apply.interfolio.com/53691. Review of applications will begin Dec. 1, 2018. Applications received up to 30 days after, or until the positions are filled, will be given consideration. Emory University is an equal employment opportunity and affirmative action employer. Women, minorities, people with disabilities and veterans are strongly encouraged to apply. Also - one or more members of the search committee will be available for brief (10-minute) informational meetings with potential candidates during the SfN conference in San Diego in November. Please contact Sam Sober at ssober(a)emory.edu<mailto:ssober@emory.edu>. Potential candidates do not need to have submitted an application to have one of these meetings, which are intended to help applicants learn about the position, department, and neuro community at Emory. Dieter Jaeger, PhD Professor Department of Biology, Emory University 1510 Clifton Rd., Atlanta, GA 30322 404 727 8139, e-mail: djaeger(a)emory.edu<mailto:djaeger@emory.edu> http://www.biology.emory.edu/research/Jaeger ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments).

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PhD fellowships in computational neuroscience at the FMI in Basel, Switzerland
by Friedemann Zenke Oct. 19, 2018

Oct. 19, 2018

The FMI PhD program now welcomes applications in computational neuroscience. Submission deadline is the 16th of November 2018. The FMI PhD program offers students the opportunity to carry out cutting-edge research in a stimulating, highly international and collaborative atmosphere. Affiliated with the Novartis Institutes for BioMedical Research and the University of Basel in Switzerland, the FMI provides interdisciplinary training and access to state-of-the-art technology platforms and high-performance computing facilities. Several research groups at the FMI offer exciting PhD projects for students with a computational background. PhD students whose primary interest is in computational neuroscience, will be able to join a new group led by Friedemann Zenke which focuses on memory formation and information processing in biologically inspired neural network models. Students will have the opportunity to directly collaborate with experimental groups in system neuroscience at the FMI (https://www.fmi.ch/Research/Neurobiology/) A wide range of theoretical and practical courses are available at both the FMI and the University of Basel. After completion of their thesis work, students are awarded a PhD from the University of Basel. Candidates should be curious about the neural underpinnings of computation and learning, have a strong analytical and quantitative background, and hold a relevant first degree in, for instance, computer science, engineering, mathematics, neuroscience, physics, psychology, or statistics. Funding is available regardless of current residence and nationality. Applications should be submitted online via https://www.fmi.ch/training/phd/apply/ Additional information PhD program: https://www.fmi.ch/training/PhD/ Zenke group (from 2019): https://www.fmi.ch/research/groupleader/zenke.html Neurobiology groups: https://www.fmi.ch/Research/Neurobiology/ For questions, please contact Elida Keller (fmiphdprogram(a)fmi.ch) -- Friedemann Zenke, PhD Sir Henry Wellcome Fellow Centre for Neural Circuits and Behaviour University of Oxford Tinsley Building Mansfield Road Oxford OX1 3SR United Kingdom https://fzenke.net

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CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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CFP: TAC | Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data
by Pablo Barros Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS IEEE Transactions on Affective Computing Special Issue on Automated Perception of Human Affect from Longitudinal Behavioral Data Website: https://www2.informatik.uni-hamburg.de/wtm/omgchallenges/tacSpecialIssue201… I. Aim and Scope Research trends within artificial intelligence and cognitive sciences are still heavily based on computational models that attempt to imitate human perception in various behavior categorization tasks. However, most of the research in the field focuses on instantaneous categorization and interpretation of human affect, such as the inference of six basic emotions from face images, and/or affective dimensions (valence-arousal), stress and engagement from multi-modal (e.g., video, audio, and autonomic physiology) data. This diverges from the developmental aspect of emotional behavior perception and learning, where human behavior and expressions of affect evolve and change over time. Moreover, these changes are present not only in the temporal domain but also within different populations and more importantly, within each individual. This calls for a new perspective when designing computational models for analysis and interpretation of human affective behaviors: the computational models that can timely and efficiently adapt to different contexts and individuals over time, and also incorporate existing neurophysiological and psychological findings (prior knowledge). Thus, the long-term goal is to create life-long personalized learning and inference systems for analysis and perception of human affective behaviors. Such systems would benefit from long-term contextual information (including demographic and social aspects) as well as individual characteristics. This, in turn, would allow building intelligent agents (such as mobile and robot technologies) capable of adapting their behavior in a continuous and on-line manner to the target contexts and individuals. This special issue aims at contributions from computational neuroscience and psychology, artificial intelligence, machine learning, and affective computing, challenging and expanding current research on interpretation and estimation of human affective behavior from longitudinal behavioral data, i.e., single or multiple modalities captured over extended periods of time allowing efficient profiling of target behaviors and their inference in terms of affect and other socio-cognitive dimensions. We invite contributions focusing on both the theoretical and modeling perspective, as well as applications ranging from human-human, human-computer and human-robot interactions. II. Potential Topics Given computational models, the capability to perceive and understand emotion behavior is an important and popular research topic. That is why recent special issues on the IEEE Journal on Transactions on Affective Computing covered topics from emotion behavior analysis “in-the-wild” to personality analysis. However, most of the research published by these specific calls treat emotion behavior as an instantaneous event, relating mostly to emotion recognition, and thus neglect the development of complex emotion behavior models. Our special issue will foster the development of the field by focusing excellent research on emotion models for long-term behavior analysis. The topics of interest for this special issue include, but are not limited to: - New theories and findings on continuous emotion recognition - Multi- and Cross-modal emotion perception and interpretation - Lifelong affect analysis, perception, and interpretation - Novel neural network models for affective processing - New neuroscientific and psychological findings on continuous emotion representation - Embodied artificial agents for empathy and emotion appraisal - Machine learning for affect-driven interventions - Socially intelligent human-robot interaction - Personalized systems for human affect recognition III. Submission Prospective authors are invited to submit their manuscripts electronically, adhering to the IEEE Transactions on Affective Computing guidelines ( https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369) Please submit your papers through the online system ( https://mc.manuscriptcentral.com/taffc-cs) and be sure to select the special issue: Special Issue/Section on Automated Perception of Human Affect from Longitudinal Behavioral Data. IV. IMPORTANT DATES: Submissions Deadline: 15th of January 2019 Deadline for reviews and response to authors: 06th of April 2019 Camera-ready deadline: 05th of August 2019 V. Guest Editors Pablo Barros, University of Hamburg, Germany Stefan Wermter, University of Hamburg, Germany Ognjen (Oggi) Rudovic, Massachusetts Institute of Technology, United States of America Hatice Gunes, University of Cambridge, United Kingdom -------------------------- -- Dr. Pablo Barros Postdoctoral Research Associate - Crossmodal Learning Project (CML) Knowledge Technology Department of Informatics University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Phone: +49 40 42883 2535 Fax: +49 40 42883 2515 barros at informatik.uni-hamburg.dehttp://www.pablobarros.nethttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/people/barros.htmlhttps://www.inf.uni-hamburg.de/en/inst/ab/wtm/

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NEURON course at SFN 2018 meeting
by Ted Carnevale Oct. 16, 2018

Oct. 16, 2018

A few seats remain open for the NEURON course that we will be presenting at the SFN 2018 meeting in San Diego. However, the registration deadline is Friday, October 19--just three days from today, so you'll have to act quickly if you are interested in learning things like * why you should be using NEURON to model biological neurons and neural circuits * how to get started building models with NEURON's GUI and/or Python * advanced tips for getting the most out of using Python as NEURON's interpreter, and using NEURON's GUI for interactive modeling and debugging of models implemented with Python * using the Import3d tool to convert Neurolucida, Eutectic, and SWC morphometric data files to NEURON models * how to add new ion channels and other biophysical mechanisms to NEURON For the course description and registrion form, see https://neuron.yale.edu/neuron/static/courses/sd2018/sd2018.html --Ted This message was composed in plain text and may contain plain text formatting of source code, tables, and lists. Reading it in a client that ignores "excess" whitespace characters or line breaks may destroy that formatting, making this message unreadable. Outlook does that by default; learn how to disable the "Auto Remove Line Breaks" ""feature"" at support.microsoft.com

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Postdoctoral position in circuit modelling at Nottingham, deadline 7th November
by Mark Humphries Oct. 16, 2018

Oct. 16, 2018

A postdoctoral position is available in the lab of Prof Mark Humphries at the University of Nottingham. We seek a postdoctoral researcher to tackle the deep question of how dopamine controls the dynamics of the striatum. As the main target of dopamine in the brain, the striatum bears the brunt of dopamine loss in Parkinson’s disease. Yet how dopamine controls the output of the striatum, and how the loss of dopamine disrupts that output, is unknown. The successful candidate will be responsible for constructing and simulating models of the striatum to investigate how dopamine controls the striatum’s dynamics, and the implications this will have for Parkinson’s disease. The project will build upon the detailed models of the striatum from the Humphries group (e.g. Humphries et al 2009 Neural Networks; 2010, PLoS Computational Biology). This is also a chance to join the newly-created computational neuroscience centre at Nottingham, which includes Profs Mark van Rossum and Stephen Coombes. Find out more about the lab and its interests here: https://www.humphries-lab.org/ The post will be available for 18 months in the first instance. More details, eligibility, and application instructions here: https://www.nottingham.ac.uk/jobs/currentvacancies/ref/SCI353818 Deadline: 7th November 2018 To discuss this or other projects, please contact Mark (mark.humphries(a)nottingham.ac.uk)

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Fully-funded PhD in computational neuroscience at Nottingham, deadline 31st October
by Mark Humphries Oct. 16, 2018

Oct. 16, 2018

A fully funded PhD position in Computational Neuroscience is available with Prof. Mark Humphries at the School of Psychology, University of Nottingham. Deadline: October 31st Full details and to apply: https://www.nottingham.ac.uk/psychology/news/funded-phd-opportunity-prof-ma… The Humphries’ lab interrogates how the joint activity of many neurons encodes the past, present, and future, in order to guide behaviour. We combine simulations of neural circuits with “neural data science” – the development and use of machine-learning approaches to systems neuroscience data. We are particularly interested in PhD projects on the following research questions: * “Mapping the wires from neural activity”. How to use the next generation of imaging techniques that directly record neuron voltages to accurately infer the wiring between neurons. * “How to write activity into neurons". What features of neural activity should we change with optogenetics in order to test hypotheses about population activity? * “Dynamic control of the striatum in health and disease”. How the influence of the striatal interneurons is controlled by dopamine, and how that influence goes haywire when dopamine is lost in Parkinson’s disease. For a primer on our research, and our recent publications, visit our lab website: /https://www.humphries-lab.org/ To discuss these or other projects, please contact Prof Mark Humphries (mark.humphries(a)nottingham.ac.uk)

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Master-PhD studentship:Studying the physiological synergy of different ion channels in neurons
by luiza filipis Oct. 16, 2018

Oct. 16, 2018

M2 stage (April – July 2019) and possibility to continue with a 3-years PhD, starting in October 2019, with scholarship already granted Studying the physiological synergy of different ion channels in neurons Following the recent award of a competitive National grant, we are looking for a brilliant and motivated undergraduate student, with biological and/or physical background, to perform a final stage at the last University level (Master-2 or equivalent), starting April 1st 2019 or earlier if possible and ending in July 2019. The student will receive a stipend of ~500€/month for the entire duration of the stage. The objective of the project is to combine advanced imaging techniques applied to neurons in brain slices, novel photoactivable toxins to target individual ion channels and advanced computational techniques to extract the precise activity of multiple ion channels underlying neuronal signals. The student will learn patch clamp and imaging techniques and apply those to test novel photoactivable toxins targeting calcium channels. At the end of the stage, if positively evaluated, a 3-year PhD with an already available scholarship from the labex consortium ICST (http://www.labex-icst.fr/en) will be offered to start on October 1st 2019. The criteria for selecting the students will include (in order of importance) - The academic record of the student (notes) with respect to the disciplines associated with the project. (For students coming from French Universities, an average note of >13/20 in the M1 and in the first semester of M2 is compulsory to be considered). - Motivation to carry on a career in scientific research as the following PhD opens the gate to further postdoctoral experiences outside France. - Personal attitude to laboratory life including relationships with colleagues. Applications, addressed to Dr Marco Canepari ( marco.canepari(a)univ-grenoble-alpes.fr) should contain: 1. a CV based on the academic record including notes (at least the most relevant and recent); 2. a motivation letter; 3. (optional) one or two supporting letters by academic staff or name(s) and email address(es) of one or two referees who know the candidate. Applications are open until November 10th 2018 and the selected student will be decided by December 1st 2018. More information on the project and on the research activity of our group is available at: -- Luiza Filipis,PhD Student Equipe MOTIV Laboratoire Interdisciplinaire de Physique (LIPhy), Université Grenoble Alpes et CNRS UMR 5588, Bat. E45, 140 avenue de la physique, Domaine univ., 38402 St Martin d'Hères cedex, FRANCE 33(0)476514731, Fax +33(0)476635495. luiza.filipis(a)univ-grenoble-alpes.fr http://marco-canepari.wix.com/neuron-imaging-team

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Funded Mathematics PhD at the University of Exeter - Designing the dynamics of coupled oscillators
by Purcell, Sarah Oct. 16, 2018

Oct. 16, 2018

Designing the dynamics of coupled oscillators<http://www.exeter.ac.uk/studying/funding/award/?id=3301> Mathematics PhD (funded) University of Exeter Supervisors: Dr Christian Bick<http://emps.exeter.ac.uk/mathematics/staff/cb618> - University of Exeter Dr Kyle Wedgwood<http://emps.exeter.ac.uk/mathematics/staff/kcaw201> - University of Exeter The University of Exeter's College of Engineering, Mathematics and Physical Sciences is inviting applications for a fully-funded PhD studentship to commence in January 2019 or as soon as possible thereafter. For eligible students the studentship will cover tuition fees (UK/EU/International) in full plus an annual tax-free stipend of at least £14,777 for 3.5 years full-time, or pro rata for part-time study. The student would be based in the Department of Mathematics in the College of Engineering, Mathematics and Physical Sciences in Exeter. Networks of interacting oscillatory units are abundant in nature and technology. Their function and dynamics governs crucial aspects of our lives, ranging from the stability of power grids to the dynamics of the human brain. The dynamics of oscillator networks depends on (1) which oscillators interact with which other oscillator and (2) how oscillators interact with one another. This project will contribute to the question how the interplay between these two factors shape the network dynamics. The main aim of this PhD project is to develop theoretical and numerical approaches how oscillator networks can be designed to have specific interactions. This will allow to generate networks that exhibit a range of synchronized and locally synchronized dynamics. Moreover, the supervisor is currently collaborating with the experimental group of Istvan Z Kiss in St Louis (USA) who are working on electrochemical oscillators. Hence, there may be an opportunity to help implement the theoretical results in real-world experimental systems. Entry requirements Applicants for this studentship must 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. If English is not your first language you will need to have achieved at least 6.5 in IELTS and no less than 6.0 in any section by the start of the project. Alternative tests may be acceptable (see http://www.exeter.ac.uk/postgraduate/apply/english/)<http://see%20http:/www.exeter.ac.uk/postgraduate/apply/english/)> For more information, please contact Dr. Christian Bick (C.Bick(a)exeter.ac.uk<mailto:C.Bick@exeter.ac.uk>) or Dr. Kyle Wedgwood (K.C.A.Wedgwood(a)exeter.ac.uk<mailto:K.C.A.Wedgwood@exeter.ac.uk>) or see http://www.exeter.ac.uk/studying/funding/award/?id=3301

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Interviews at SfN 2018 for a Postdoctoral Fellow in Neural Decoding and Data Analytics Lab - Center for Bioelectronic Medicine
by Zanos, Theodoros Oct. 16, 2018

Oct. 16, 2018

Attending Neuroscience 2018 in San Diego? Apply to be considered for an interview during the conference by sending your CV to tzanos(a)northwell.edu The Neural Decoding and Data Analytics Lab at the Center for Bioelectronic Medicine, headed by Assistant Professor Theo Zanos PhD, focuses on neural recordings and data analysis methods to gain insights into decoding and encoding mechanisms of the brain and peripheral nerves to and from stimuli, actions and other physiological functions. The lab utilizes a variety of techniques from signal processing, machine learning, optimization, neurophysiology and bioelectronic systems for closed-loop neural recording and stimulation, both in health and in disease models. The ultimate goal is to develop neuromodulation therapies that will observe the state of the organism and the organ system that is targeted, to deliver individualized treatment of diseases in real-time. The successful candidate will develop or deploy computational tools, will take part in neurophysiology experiments and collect data, organize and analyze data, collaborate with other research staff and publish and present data in a timely manner. They will also work collaboratively with other investigators to facilitate their scientific research and training. Furthermore, they will participate in various types of institute and community activities and may apply for grant funding and/or patents as appropriate. The position comes with considerably competitive compensation. Job Responsibilities Include: Develops computational tools for neuroscience research. Run neurophysiology experiments. Performs bioelectronic medicine research. Collaborates with other research staff. Responsible for the planning, collection, organization, analysis, and interpretation of research data related to one or more projects Doctorate degree in Engineering, Computer Science or Statistics (Ph.D) required Authored/co-authored research papers and/or scientific abstracts, required Experience with various signal processing and machine learning methods, required Strong programming skills of Matlab, required, Python, C++, preferred Research experience in neurophysiology/neuroscience/animal surgery, preferred The information contained in this electronic e-mail transmission and any attachments are intended only for the use of the individual or entity to whom or to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this communication is not the intended recipient, or the employee or agent responsible for delivering this communication to the intended recipient, you are hereby notified that any dissemination, distribution, copying or disclosure of this communication and any attachment is strictly prohibited. If you have received this transmission in error, please notify the sender immediately by telephone and electronic mail, and delete the original communication and any attachment from any computer, server or other electronic recording or storage device or medium. Receipt by anyone other than the intended recipient is not a waiver of any attorney-client, physician-patient or other privilege.

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Research Scientist Position at Samsung
by Daniel Kepple Oct. 15, 2018

Oct. 15, 2018

Samsung is recruiting computational neuroscientists for a new AI Research lab in New York City that will conduct fundamental research at the intersection of AI, robotics, and neuroscience. The position requires motivation to advance fundamental science and create revolutionary technological prototypes. Team members will have the intellectual freedom to cultivate their research roots by partnering with universities and publishing in leading scientific conferences and journals. Research Scientists in Machine Learning tackle unsolved problems in neural network architectures, learning algorithms, reinforcement learning, computer vision, natural language, and multimodal sensory processing. We will be at SfN, so if you are interested in learning more or applying, please send an email with your CV to d.kepple(a)samsung.com<mailto:d.kepple@samsung.com> See the following link for more details: https://samsungresearchamerica.applytojob.com/apply/IgDHsUiaPI/Research-Sci… Thanks, Daniel Kepple Research Scientist at Samsung AI Center, NY

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Funded PhD position in Statistical Analysis of Neural Data at UConn
by Ian Stevenson Oct. 15, 2018

Oct. 15, 2018

The Statistical Neuroscience Lab at the University of Connecticut is recruiting PhD students to start Fall 2019. These are fully-funded positions, and candidates will be working in close collaboration with experimental collaborators to develop methods for modeling neural dynamics, interactions, and plasticity from large-scale spike train data. Qualifications: Our work is highly interdisciplinary, and applicants must have strong quantitative skills. Previous experience with neuroscience is helpful but not necessary. Candidates with backgrounds in physics, statistics, computer science, engineering, and related areas are welcome to apply. Applying: Interested students should apply through the UConn Neuroscience (*https://grad.psych.uconn.edu/prospective/phd/application-deadlines/ <https://grad.psych.uconn.edu/prospective/phd/application-deadlines/>*) or Biomedical Engineering (*http://www.bme.uconn.edu/academics/graduate-program/about-the-graduate-program-in-biomedical-engineering <http://www.bme.uconn.edu/academics/graduate-program/about-the-graduate-prog…>*) PhD programs. Deadlines are Feb 1 for Neuroscience and Jan 1 for BME. Contact ian.stevenson(a)uconn.edu for more information Thanks, Ian Stevenson Assistant Professor University of Connecticut Department of Psychological Sciences stevenson.lab.uconn.edu

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tenure track faculty searches at Georgia Tech
by Rozell, Christopher J Oct. 15, 2018

Oct. 15, 2018

There are a number of tenure track faculty searches at Georgia Tech that may be of interest to this community. While only some are targeting neuro specifically, many have neuro as an area of specific interest. The ads are aggregated here: http://neuro.gatech.edu/career For this community, I would draw your attention to the searches in computationally-oriented departments such as Electrical & Computer Engineering (ECE), Math, and Computational Science and Engineering (CSE). Georgia Tech's campus is in the heart of midtown Atlanta, which is one of the fastest-growing metropolitan areas (and entrepreneurial communities) in the United States. Atlanta boasts a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation. The neuroscience community is strong and rapidly growing both at Georgia Tech and at our local partners Emory (including Emory Medical School) and Georgia State University. In particular, there is a specific current and historical strength in computational neuroscience in the local area, with a strong and collegial community. More info about our local community can be found here: http://neuro.gatech.edu/ Please contact me if you have questions. regards, chris rozell

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Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond.
by Mark Kramer Oct. 14, 2018

Oct. 14, 2018

Multiple Postdoctoral Positions in Computational Neuroscience Available at Boston University, and beyond. Three, NIH-supported postdoctoral positions in computational neuroscience are available immediately at Boston University in the labs of Uri Eden and Mark Kramer. The positions center on two projects: * Project: Measure, model, and modulate cross-frequency coupling. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) and the University of Minnesota (Alik Widge). - Goals: (i) Develop new statistical modeling methods to assess cross-frequency coupling (CFC) in real-time, and deploy these tools in in vivo animal experiments. (ii) Develop simple, biophysical models to identify candidate mechanisms of CFC. * Project: Assess human seizure dynamics across spatial and temporal scales. - Team: An interdisciplinary team of researchers at BU (Mark Kramer and Uri Eden) Harvard/MGH (Sydney Cash), and Columbia University (Catherine Schevon). - Goals: (i) Analyze human seizure activity in a unique data set, consisting of invasive brain voltage recordings across spatial scales - from single units to large brain areas, and temporal scales - from high-frequency oscillations to slow brain rhythms. (ii) Build biophysical models to probe how human seizures start, propagate, and stop. For either project, the successful candidate will have a strong background in statistics and computer programming; experience in interdisciplinary neuroscience research and biophysical modeling is preferred, although not essential. The positions are based at Boston University in the labs of Uri Eden and Mark Kramer. Both projects are highly interdisciplinary and will involve frequent and extensive interactions with neuroscientists at UMN (Alik Widge), or clinicians at Harvard/MGH (Sydney Cash) and Columbia University (Catherine Schevon). To apply, or for more information about the position, please send an email to Mark Kramer (mak(a)math.bu.edu) Please include an updated CV, names and contact information of three references, and a brief statement of your interest in the position and relevant qualifications. Boston University offers a vibrant community of statistical, mathematical, and neuroscience faculty and students, and many opportunities for collaboration within and outside the University.

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Faculty Position: Applied Mathematics Northwestern University
by Hermann Riecke Oct. 13, 2018

Oct. 13, 2018

Northwestern University invites applications for a full-time, *tenure-track faculty position in**Applied Mathematics* to begin in September 2019 in the Department of Engineering Sciences and Applied Mathematics (http://www.mccormick.northwestern.edu/applied-math/) Hiring will be focused on the assistant professor level, although exceptional applicants at all levels will be considered. Candidates in *all fields of applied mathematics, science, and engineering* with a demonstrated ability to conduct *high-impact interdisciplinary research* *in applied mathematics* are encouraged to apply. Northwestern University offers a stimulating environment, encouraging collaborations across departments and schools. Collaborations of our current faculty span multiple departments in the McCormick School of Engineering, the Weinberg College of Arts and Sciences, and the Feinberg School of Medicine in areas including materials science, earth sciences, fluid dynamics, complex systems, microbiology, neuroscience, and social systems, to highlight a few. Our faculty actively participate in interdisciplinary centers such as the Northwestern Institute on Complex Systems, the Center for Synthetic Biology, the Center for Hierarchical Materials Design, the Center for Interdisciplinary Exploration and Research in Astrophysics, and the Center for Water Research, among others. The recently funded NSF-Simons Center for Quantitative Biology is a joint initiative primarily between the Department of Engineering Sciences and Applied Mathematics and the Department of Molecular Biosciences. We are seeking candidates whose research has strong connections to applications and who can strengthen and/or broaden the research activities of the department. Requirements include a PhD. Duties involve research and teaching. Submit applications electronically at https://facultyrecruiting.northwestern.edu/apply/MzE2.The application package should include a curriculum vita, a statement of research accomplishments and interests, a statement of teaching experience and philosophy, and 3-4 selected publications. In addition, the applicant should arrange for at least three, but no more than four letters of recommendation. Recommendation letters will be automatically solicited from the letter writers by email after their names are entered in the online application system. Questions may be sent to esam-facultysearch(a)northwestern.edu (Subject line: 2019 Faculty Search). Review of applications will begin November 15, 2018 and will continue until the position is filled.

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Opportunities to collaborate with the EPSRC Centre for Predictive Modelling in Healthcare
by Purcell, Sarah Oct. 12, 2018

Oct. 12, 2018

Dear Colleagues, I would like to highlight the following opportunities for collaboration with the EPSRC Centre for Predictive Modelling in Healthcare at the University of Exeter, UK: The EPSRC Centre for Predictive Modelling in Healthcare<http://emps.exeter.ac.uk/mathematics/research/pmh/> brings together a world-leading team of mathematicians, statisticians and clinicians with a range of industrial partners, people with lived experience of chronic health conditions and other stakeholders to focus on the development of new methods for managing and treating noncommunciable disorders using predictive mathematical and statistical models. Our focus is on 'dynamic' health conditions such as autoimmune disease, cardiac arrhythmias, diabetes and epilepsy. We aim to revolutionise the clinical management of these disorders through better understanding the fundamental mechanisms of these disorders, as well as the development of mathematically-underpinned decision support systems. Visitor programme The Centre runs a lively visitor programme where both short term seminar speakers and longer term visitors can interact with the team. Whether you are an academic, a student, a healthcare professional or involved in healthcare technologies, if you are interested to visit or work with us, please get in touch by completing our visitor contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/>. Visiting fellowship We have some funding available to support the visits of interested parties who will contribute to the work of the Centre. Please use the contact form<https://emps.exeter.ac.uk/mathematics/research/pmh/visitors/> to tell us more about your plans, the problem you would like to solve and who you would like to work with. Requests for funding will be dealt with on an individual basis. For further information or any queries, you can also contact Sarah Purcell<mailto:s.purcell@exeter.ac.uk> (Centre Manager). Best wishes, Sarah Purcell Centre Manager EPSRC Centre for Predictive Modelling in Healthcare University of Exeter Tel: 01392 726447 Web: www.exeter.ac.uk/pmh <http://www.exeter.ac.uk/pmh> Twitter: twitter.com/CPMH_UoE

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PhD position in statistical methods in neuroscience
by Benjamin Dunn Oct. 11, 2018

Oct. 11, 2018

A PhD position is available in statistical methods in neuroscience at the department of Mathematical Sciences, NTNU, and in collaboration with Kavli Institute for Systems Neuroscience / Centre for Neural Computation, NTNU (Norway). The project will focus on parameter estimation, hypothesis testing and model selection in large population neural data with detailed 3D tracking of animal behavior. Additional details are available at https://www.jobbnorge.no/ledige-stillinger/stilling/156881/phd-fellowship-i… or contact us at: Mette Langaas, Mette.Langaas(a)ntnu.no Benjamin Dunn, Benjamin.Dunn(a)ntnu.no The deadline for applying is October 15th.

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Multiple open-rank tenure-track positions open at the AI Institute of Stony Brook University
by Memming Park Oct. 11, 2018

Oct. 11, 2018

The departments of computer science and biomedical informatics at the Stony Brook University are recruiting tenure track faculties. Stony Brook University is located on Long island, east of New York city. The senior-level position come with the title of Empire Innovation Professor, and enhanced salary and research support. Exceptionally qualified senior and junior candidates in *all areas of Artificial Intelligence* are invited to apply, particularly in the following areas but not limited to: *Machine learning, computer vision, natural language processing or data science*. See the following links for details: https://www.cs.stonybrook .edu/about-us/career/Multiple-Positions-all-levels-Empire-Innovation-Professor-AI-Institute- Stony-Brook-University Official Job Title: Assistant, Associate or Full Professor REF#: F-9924-18-08 *The position will be open until filled.* Sincerely, Memming Park -- Assistant Professor Department of Neurobiology and Behavior Stony Brook University http://catniplab.github.io/

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Faculty position in computational neuroscience at University of Illinois
by Sutton, Brad Oct. 10, 2018

Oct. 10, 2018

The Department of Bioengineering at the University of Illinois at Urbana-Champaign (UIUC) seeks a full-time Bioengineering faculty member for a tenure-track or tenured position in the broad area of computational bioengineering: including computational neuroscience or other related areas. See: https://go.illinois.edu/BIOE_Fac_2018 for more information.

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Advanced Research Fellowships - Artificial Intelligence
by Peter Andras Oct. 10, 2018

Oct. 10, 2018

Industrial Strategy Advanced Research Fellowships Special area of interest: Artificial Intelligence and industrial / medical applications. Keele University Closes: 30th October 2018 Job Ref: KU00000892 Salary: Grade 8 £42,036-£50,132/Grade 9 £51,630-£59,828 Were Keele and were different. Founded over 60 years ago to meet the challenges of a rapidly changing world, our mission today is as relevant as it was then. A key part of our mission is the delivery of research with the highest impact. The University and its Science & Innovation Park play a critical economic anchor role across and beyond the Midlands area of the UK. In the last 2 years we have invested over £40 million in building our capacity to work collaboratively with business, industry and a wider set of partners. As part of our future plans for continued investment, we are now seeking to recruit two Industrial Strategy Advanced Research Fellows to the University. Applications are welcomed from individuals with a track record in any discipline, which aligns with the aims and objectives of the UK Governments Industrial Strategy and the UKRI Funding Councils delivering the strategy (e.g. artificial intelligence). We particularly welcome applications which will further build the Universitys reputation for internationally-excellent, world-leading and high impact research in one or more grand challenge areas within the Industrial Strategy. The fellowships are principally research focused positions until July 2021, after which role-holders will transition into substantive academic roles which will include both teaching and research responsibilities. Appointments will be considered at grade 8 (Lecturer scale) or grade 9 (Senior Lecturer scale). The level will be determined by the experience and track-record of individual candidates. Candidates will be expected to demonstrate an established or emerging track record of high quality collaborative research with business, industry and other non-academic partners across the UK, aligned to areas of existing research endeavour at Keele University. An ability to demonstrate a track-record and future desire to collaborate with a wide range of commercial partners, large and small, will be welcomed. Initial applications are invited with a deadline of 30 October 2018, with interviews taking place 3-7 December 2018. Applications will be selected against the person specification for the role, which will include consideration of how the proposed candidate will complement established and emerging areas of research in regard to our interdisciplinary research themes of: sustainable futures, social inclusion and global health. Applicants interested in applying for these jobs in the area of Artificial Intelligence and its industrial / medical applications may contact Professor Peter Andras (p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> ) for further information about these jobs. Keele University values equality and diversity across our workforce and to ensuring our staff community is reflective of the diversity of our student population. In support of these commitments the University welcomes applications from individuals of Black, Asian and ethnic minority backgrounds for all roles. For full post details please visit: <http://www.keele.ac.uk/vacancies> www.keele.ac.uk/vacancies Keele University employees wishing to apply should login to Employee Self Service and click on the 'View current vacancies' link. Closing date for applications: 30th October 2018 Promoting Equality, Valuing Diversity. --- Professor Peter Andras Head of School School of Computing and Mathematics Keele University Keele, Staffordshire ST5 5BG UK Tel. +44-1782-733412 Fax. +44-1782-734268 E-mail: <mailto:p.andras@keele.ac.uk> p.andras(a)keele.ac.uk Web: <http://www.scm.keele.ac.uk/staff/p_andras/> www.scm.keele.ac.uk/staff/p_andras/

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COSYNE 2019: Abstract submission is now open; Call for workshop proposals; Cosyne Mentoring Forum
by Tomas Hromadka Oct. 10, 2018

Oct. 10, 2018

==================================================== Computational and Systems Neuroscience 2019 (Cosyne) MAIN MEETING 28 February - 03 March 2019 Lisbon, Portugal WORKSHOPS 04 March - 05 March 2019 Cascais, Portugal www.cosyne.org ==================================================== IMPORTANT DATES Abstract submission is now open Workshop proposal deadline: 31 October 2018 Cosyne registration opens: 11 November 2018 Abstract submission deadline: 15 November 2018 ---------------------------------------------------- COSYNE ---------------------------------------------------- The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks is selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. For details on workshop proposals please see below or visit Cosyne.org -> Workshops. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. This year we would like to foster increased participation from experimental groups as well as computational ones. Please circulate widely and encourage your students and postdocs to apply. When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. For more information and details on submitting abstracts please visit Cosyne.org -> Abstracts. COSYNE SPEAKERS Bruno Averbeck (NIMH) Gwyneth Card (Janelia) Kathleen Cullen (John Hopkins) Kenji Doya (OIST) Ken Harris (UCL) Sonja Hofer (Sainsbury Wellcome Centre) Yann LeCun (NYU) Edvard Moser (NTNU) Yiota Poirazi (IMBB-FORTH) Maneesh Sahani (Gatsby-UCL) Eric Shea-Brown (U Washington) Sara Solla (Northwestern) Karel Svoboda (Janelia) Ilana Witten (Princeton) ORGANIZING COMMITTEE General Chairs: Linda Wilbrecht (Berkeley) and Brent Doiron (U Pittsburgh) Program Chairs: Eugenia Chiappe (Champalimaud) and Christian Machens (Champalimaud) Workshop Chairs: Catherine Hartley (NYU) and Ralf Haefner (U Rochester) Undergraduate Travel Chairs: Angela Langdon (Princeton) and Robert Wilson (U Arizona) Publicity Chair: Il Memming Park (Stony Brook) Development Chair: Michael Long (NYU) EXECUTIVE COMMITTEE Stephanie Palmer (U Chicago) Zachary Mainen (Champalimaud) Alexandre Pouget (U Geneva) Anthony Zador (CSHL) CONTACT meeting [at] cosyne.org ---------------------------------------------------- CALL FOR WORKSHOP PROPOSALS ---------------------------------------------------- A series of workshops will be held after the main Cosyne meeting. The goal is to provide an informal forum for the discussion of important research questions and challenges. Controversial issues, open problems, comparisons of competing approaches, and alternative viewpoints are encouraged. The overarching goal of all workshops should be the integration of empirical and theoretical approaches, in an environment that fosters collegial discussion and debate. Preference will be given to proposals that differ substantially in content, scope, and/or approach from workshops of recent years (examples available at Cosyne.org -> Workshops). Relevant topics include, but are not limited to: sensory processing; motor planning and control; functional neural circuits; motivation, reward and decision making; learning and memory; adaptation and plasticity; neural coding; neural circuitry and network models; and methods in computational or systems neuroscience. In order to foster discussion within Workshops and reduce overlap between workshops, organizers should inform invited speakers that a single person should not speak in more than one of the Workshops taking place on the same day. WORKSHOP DETAILS - There will be 4-8 workshops/day, running in parallel. - Each workshop is expected to draw between 15 and 80 people. - The workshops will be split into morning (08.00-11.00a) and afternoon (04.30-07.30p) sessions. - Workshops will be held at Cascais, a coastal village ~34 km west of Lisbon. Buses from the main conference will be provided. SUBMISSION INSTRUCTIONS Submission instructions for workshop proposals are available at Cosyne.org -> Workshops. Proposals should include: - Name(s) and email address(es) of the organizers (no more than 2 organizers per session, please). The first author on the list becomes the contact author for the proposal. - A title. - A brief description of 1) what the workshop will address and accomplish, 2) why the topic is of interest, 3) who is the targeted group of participants. - Names, affiliations, and expected topics of talks of potential invitees, and a list of confirmed speakers. Preference will be given to workshops with the most confirmed speakers. - A brief summary of relevant prior experiences and publications of the organizers (about half a page total). - Proposed workshop length (1 or 2 days). Most workshops will be limited to a single day. If you think your workshop needs two days, please explain why. Workshop organizer responsibilities include coordinating workshop participation and content, scheduling all speakers and submitting a final schedule for the workshop program, and moderating the discussion. Organizers can be speakers but need not speak depending on scheduling constraints. SUGGESTIONS Experience has shown that the best discussions during a workshop are those that arise spontaneously. A good way to foster these is to have short talks and long question periods (e.g. 30+15 minutes), and have plenty of breaks. We recommend fewer than 10 talks. When preparing workshop proposals, the organizers are encouraged to: - address timeliness of workshop in the proposal: what new insights have been generated (new papers, data, techniques, whatever) over the past few years that make now the right time for discussing them and for presenting them to the wider community? - directly describe how speakers address the central topic, e.g. which are the big question(s), which speakers represent different viewpoints on the same question, which experimentalist addresses the theories addressed by which theoretician (and vice versa); - address controversies and bring together speakers from different “camps” in the same field, or from different fields that---according to the organizers---should talk more to each other for whatever reason; WORKSHOP COSTS Detailed registration costs, etc., will be available at www.cosyne.org. Please note: Cosyne does NOT provide travel funding for workshop speakers. All workshop speakers are expected to pay for workshop registration fees. Participants are encouraged to register early, in order to qualify for discounted registration rates. One complimentary (free) organizer registration is provided per workshop. For workshops with 2 organizers, the free registration can be given to one of the organizers or split evenly between them. COSYNE 2019 WORKSHOP CHAIRS Catherine Hartley (NYU) and Ralf Haefner (University of Rochester) email: workshops [at] cosyne.org ---------------------------------------------------- COSYNE MENTORING FORUM ---------------------------------------------------- Cosyne Mentoring Forum provides a platform for discussions among Cosyne participants, particularly for help with composing abstracts for the meeting and getting feedback before submission. The forum is intended to be a place to connect with other computational and systems neuroscientists. Forum members are encouraged to share advice on everything from writing a great Cosyne abstract to navigating a job search. See Cosyne.org -> Mailing lists for details on how to subscribe and post to the forum. ---------------------------------------------------- OTHER COSYNE MAILING LISTS ---------------------------------------------------- Please consider adding yourself to Cosyne mailing lists (groups) to receive email updates with various Cosyne-related information and join in helpful discussions. See Cosyne.org -> Mailing lists for details.

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PhD project in computational modeling of Alzheimer’s disease at MCEN/BCAM, Bilbao, Spain
by Maurizio De Pitta Oct. 9, 2018

Oct. 9, 2018

Fully-funded PhD project: Computational modeling and data mining of early markers of Alzheimer’s disease Lab / Host institution : Group of Mathematical, Computational and Experimental Neuroscience (MCEN) at the Basque Center of Applied Mathematics (BCAM) Location : Bilbao, The Basque Country, Spain Duration : 3 years. Stipend : 18k EUR/year + mobility allowance Starting date : immediate Scientific background : Alzheimer’s disease (AD) is a chronic, age-related neurodegenerative disorder characterized by cognitive decline, memory loss, personality changes, and withdrawal. The causes of AD remain poorly understood and no treatment is currently available to stop or reverse the progress of the disease nor to reduce the risk of developing it. The principal pathological hallmark of AD is the accumulation in the brain of senile plaques, primarily composed of the amyloid beta (Aβ) peptide, and tangles of filaments of hyperphosphorylated tau protein. However, population-based studies show that there is a continuum of AD type pathology in the aging population, with considerable overlap in the burdens of tangle and plaque pathology in demented vs. non-demented individuals. It is therefore difficult to establish thresholds of classical lesions for the prediction of dementia and additional factors are operative to determine whether a given burden of pathology is associated with cognitive impairment. There is therefore a need to explore non-standard pathological markers. Workplan : The candidate will deploy mathematical tools to simulate biophysical processes that could underpin deposition of amyloid beta plaques and tau filaments. Emphasis will be on emerging evidence on the interaction between neurons and glial cells, to identify potential mechanisms that promote local excitation of neuronal networks at the onset of AD, before cognitive impairment takes over, or when only mild cognitive deficits are diagnosed. The project is strongly interdisciplinary, as the candidate will pursue computational research in close collaboration with experimentalists to design realistic models inspired by experiments in cell cultures and brain slices from AD mouse models. At the same time she/he will be able to design experiments based on predictions from her/his models. Working environment : The candidate will be supervised by Dr. Maurizio De Pittà in all the aspects of the project. Dr. De Pittà is a leading expert on computational modeling of neuron-glia interactions, with an experience in computational neuroscience of 10+ years. Dr. De Pittà recently joined the MCEN group at BCAM as « Junior Leader » fellow with a start-up grant supported by la Caixa Banking Foundation. The MCEN group is a rapidly growing team led by Ikerbasque Professor Serafim Rodrigues, that was established in 2016 as part of the strategic research portfolio enacted by the Basque Country to foster interdisciplinary research in Neuroscience. The candidate will collaborate with Dr. Elena Alberdi and Prof. Carlos Matute at Achucarro, the Basque Center for Neuroscience in Bilbao, at the local campus of the University of the Basque Country (UPV/EHU). BCAM is one of the Severo Ochoa’s excellence centers for scientific research in Spain providing a fertile international environment for enriching scientific collaborations. Bilbao, as the capital of the Basque Country in Spain, is a vibrant, friendly city with one of the highest standards of life quality in Spain. Requirements : -- Master’s degree (or equivalent) in Physics, Mathematics, Engineering, or related fields -- Excellent English skills (oral and written) -- Programming skills in Matlab, Python and C/C++ -- High motivation for interdisciplinary research with strong interests for biological details with an analytic mindset -- Essential knowledge of neuroscience, cell biology and biochemistry is preferred but not required Additional notes : This is a cutting-edge project that ideally matches with outstanding and creative candidates, with a strong motivation for international collaborations, mobility, and independence. The candidate is supposed to work on the project full-time (i.e. part-time agreements are taken into consideration), and must be . To apply : Applicants should send a CV with letter of motivation (max 2 pages) to Dr. De Pittà at mdepitta(a)bcamath.org with headings : « PhD Candidacy ». Review of applicants is incumbent, and will continue until the position is filled. The earliest start date is November 2018. -- Maurizio De Pittà https://sites.google.com/site/mauriziodepitta/

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Tenure-Track Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France
by boris gutkin Oct. 7, 2018

Oct. 7, 2018

> Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France > > Department of Cognitive Studies at the Ecole Normale Superieure (Paris France) seeks candidates for a tenure-track junior professor in computational neuroscience. Candidates in cognitive computational neuroscience, machine learning approaches to neuroscience and statistical neuroscience are particularly encouraged to apply. Successful candidate will join the computational neuroscience core at the Laboratory for Cognitive and Computational Neuroscience (LNC2, https://lnc2.dec.ens.fr/fr) > > Candidates should show a strong track record of research in computational neuroscience as well as potential for scientific independence and achievement. Candidate will be expected to develop an independent research program during their pre-tenure period In addition to research candidates will spear-head the computational neuroscience track in the Master of Cognitive Sciences at ENS (Cogmaster,www.cogmaster.net/) provide teaching in computational neuroscience at the masters and upper undergraduate level as well as supervise masters and doctoral students. > > The position offers a 5-year tenure-track contract with an evaluation at the end of the 3rd year. Upon successful evaluaton, the candidate will proceed directly to a competition for a full professorship at ENS Paris. Support for national and international grant competitions will be provided. > > The candidate will join a lively cognitive neuroscience and computational neuroscience community. Notably the computational neuroscience core of the LNC includes research groups of Boris Gutkin, Srdjan Ostojic and Sophie Deneve and counts over 20 members in total. Computational approaches to human cognitive neuroscience and neuroeconomics are also represented by groups of Etienne Koechlin, Valentin Wyart and Stefano Palminteri. Ample interactions with experimental and computational groups in the Paris area are available and encouraged. LNC2-DEC-ENS is located in the heart of Paris in the Quartier Latin. > > > Candidates should send an application package by e-mail to the application email address below. The subject line should include the words COMPUTATIONAL NEUROSCIENCE ENS POSITION followed by the name of the applicant. > > APPLICATION ADDRESS: recruitment.jp-compneuro(a)ens.fr > > The application package should include: > > - a CV, including a list of publications; > > - contacts of 3 referees from whom recommendations letters can be requested; > > - ‪a statement outlining both teaching and research goals/experience (up to 3 pages); > > - a research sample consisting of 3 papers. > > > Deadline for the applications is Nov 15 2018. > > Candidate is expected to start in September 2019. > > Informal enquiries and Questions can be sent to boris.gutkin(a)ens.fr > >

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Research Assistant Professor opening for NeuroMorpho.Org IT Manager position
by Ruben Armananzas Arnedillo Oct. 3, 2018

Oct. 3, 2018

Dear Colleagues, We are searching for an exceptional individual to lead the information technology infrastructure of NeuroMorpho.Org as a Research Assistant Professor in the Center for Neural Informatics and the Bioengineering Department of George Mason University (near Washington DC, USA). If you know suitable candidates with a Ph.D. in computer science, software engineering, information systems, applied mathematics, physics, data science, or related fields, please encourage them to apply at https://jobs.gmu.edu/postings/44093 Especially desired are proficiency in Java, C/C++, Python, R, Matlab, and Shell scripting; experience with Unix/Linux server administration; SQL & NoSQL database design and system operation; web technologies and API (micro) services; content management & collaborative platforms; big-data & cloud computing analytical tools; task analysis automation; knowledge in project management (PMP or similar); and understanding of neuroscience data. The successful applicant will assume responsibility of the NeuroMorpho.Org continuous maintenance, development, and management, including design of new solutions to enhance and expand existing functionality. The incumbent will work directly with the project director, will select and supervise multiple masters-level assistants, and will have unlimited access to dedicated supercomputer and server facilities, flexible working schedule, salary based on the NIH scale, and state employee benefits. Review of applications will begin on November 1, 2018; the position is available immediately. The NeuroMorpho.Org Team

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Assistant Professor Position in High-Dimensional Data Analysis, CU Boulder, Dept. of Applied. Math. (Deadline Oct. 16, 2018)
by Zachary Kilpatrick Oct. 3, 2018

Oct. 3, 2018

The Department of Applied Mathematics at the University of Colorado at Boulder invites applications for a tenure track faculty position at the Assistant Professor level to begin August 2019. The position is in the area of high dimensional data analysis (big data), with possible areas of emphasis including nonlinear optimization, analysis in high-dimensional spaces, randomized projections, probabilistic numerics, harmonic analysis, theoretical deep learning, and related areas. However, exceptional candidates in all fields of Applied Mathematics may be considered. The candidate is expected to take an active role in undergraduate and graduate teaching, conduct a vigorous externally funded research program, advise graduate students, and participate in department and university governance. We also seek candidates who demonstrate effectiveness in teaching, mentoring, nurturing, and inspiring diverse students of all ethnicities, nationalities and genders, including first generation college undergraduates. Review of applications will begin on October 16, 2018; applications will be accepted until the position is filled. —————————————— The College of Arts and Sciences at the University of Colorado Boulder is home to five Nobel laureates, four National Medal of Science winners, eight MacArthur "Genius Award" winners, 100 Fulbright Scholars, 17 Guggenheim Fellows, 14 Packard Fellows, 24 members of the National Academy of Sciences, and 23 members of the American Academy of Arts and Sciences. CU Boulder is the only university in the Rocky Mountain region in the American Association of Universities, a group of the nation’s leading research institutions. The Department of Applied Mathematics is home to 22 tenured and tenure track faculty members whose research span computational mathematics, nonlinear mathematics including nonlinear dynamics and waves, mathematical biology, physical applied mathematics, probability, and statistics. The Department sits at the crossroads of the university's two largest colleges, being rostered in the College of Arts and Sciences while teaching students in the College of Engineering. Our faculty have won numerous awards including: four fellows of the Society of Industrial and Applied Mathematics, two fellows of the American mathematical Society, two Guggenheim Fellows, an American Statistical Association Fellow, and a Sloan Fellow. For more information see http://www.colorado.edu/amath. ————————————— Minimum Qualifications: Applicants must have a Ph.D. in applied mathematics or a related area, a strong record of research accomplishments, and have excellent teaching and communication skills. To apply, please submit the following materials at https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897 <https://jobs.colorado.edu/jobs/JobDetail/?jobId=12897> 1. Resume/CV 2. Cover Letter 3. List of references 4. Statement of Teaching Philosophy 5. Statement of Research Philosophy 6. You will need to submit 3 references for this position. These individuals will be contacted and asked to submit a letter of recommendation as part of your application materials. This information will be kept confidential and viewable only by the search committee.

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Open Rank Faculty Position, Department of Mathematics, City College of New York, CUNY
by Asohan Amarasingham Oct. 2, 2018

Oct. 2, 2018

Dear Colleagues, The Department of Mathematics of the City College of New York is hiring invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, to start August 31, 2019. Computational neuroscience and computational biology generally are an area of particular interest for the search, and an area of focus both in the department and more broadly at City College and CUNY (see, for example, the Initiative for Theoretical Sciences at the CUNY Graduate Center). Thus researchers who focus on applications of mathematics or statistics to neuroscience are encouraged to apply. The department has strong mathematical research activities in a broad range of areas. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The full announcement is below. Please feel free to contact me if you have further questions. Best regards, Asohan Amarasingham ==================================== https://www.mathjobs.org/jobs/jobs/12498 The Department of Mathematics of the City College of New York invites applications for one or more positions at the Assistant Professor, Associate Professor, or Professor levels, pending administrative approval, to start August 31, 2019. The department has strong research in a broad range of areas. Areas of greatest need and interest are for applicants with expertise in statistics, probability, and those areas of applied mathematics most relevant to computational biology and data science, but exceptional applicants from all areas of pure and applied mathematics will be considered. Instructional needs are at all levels, including undergraduate service and major courses, and graduate courses both in the CCNY graduate programs and through the CUNY Graduate Center. The City College of New York (CCNY) is part of the City University of New York (CUNY) system, with a strong tradition of excellence in science and engineering. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. CCNY serves a broad range of students and CUNY has an exemplary record in moving students from poverty to prosperity. The Department actively encourages applications from women and minority candidates. Applicants must apply electronically at http://www.mathjobs.org ALL APPLICANTS MUST APPLY VIA CUNYfirst FOR CONSIDERATION. Please apply by visiting this CUNY.jobs page<https://cuny.jobs/jobs/?q=19465> or by the following: Go to www.cuny.edu and click on "Employment" or visit Employment at CUNY<http://www2.cuny.edu/employment/> Click "Search job listings" Click on "More options to search for CUNY jobs" Search by Job Opening ID number 19465 Click on the "Apply Now" button and follow the instructions. The applicant must submit an application cover letter detailing interest in the position, a current CV, statements detailing research and teaching interests, a diversity statement reflecting the candidate's thoughts and experience on fostering inclusivity in the classroom and workplace, and arrange for four letters of reference to be submitted through mathjobs.org, with at least three addressing research and at least one addressing teaching qualifications. Review of applications begins October 15th, with applications considered until the position is filled. The City University of New York is an Affirmative Action/Equal Opportunity Employer and Educator.

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Frontiers Research Topic on Data Assimilation
by Axel Hutt Oct. 2, 2018

Oct. 2, 2018

Announcement of the Frontiers Research Topic -------------------------------------------------------------------------------------- Data Assimilation of Nonlocal Observations in Complex Systems -------------------------------------------------------------------------------------- Natural complex systems exhibit spatio-temporal dynamics on multiple scales that are difficult to predict and understand. To gain deeper insights into the system's dynamics and to be able to predict its evolution, observations of that system are analyzed which allows to derive or motivate models that fit that system. In general, one may distinguish two types of data. The so-called in-situ or local observations capture direct measurements of the system itself, such as temperature at a specific height in the atmosphere or electric potentials in biological cells. Other observations are not measured at a certain location but represent the integral of some relevant quantities manifesting the system's activity. Examples in meteorology for such nonlocal observations are satellite radiances, slant delays and radio occultation based on GPS data, or radar reflectivities. In biological systems, the non-invasive measurement techniques provide nonlocal observations, such as electro- and magnetoencephalogram or Magnetic Resonance Imaging. In addition to observations, realistic models are essential to improve the understanding of natural complex systems and to predict their dynamical evolution. To merge both models and observations, it is essential to develop techniques that optimally estimate the system activity well-adapted to a model and observed data. Data assimilation comprises a number of methods to merge diverse experimental data with an underlying model. Data assimilation optimally combines observations and a model to achieve a certain goal, such as optimal fitting of model parameters or providing optimal forecasts of the system's dynamics. Since the recent years have shown an increasing number of observation techniques capturing integrals of system activity, data assimilation of nonlocal observations becomes more and more important. The present Research Topic aims to bring together recent theoretical work in data assimilation of nonlocal observations with a strong link to specific applications. This article collection reflects the state-of-the-art in this research field. Examples of theoretical topics (as an unconstrained open list) are Kalman filters, variational assimilation techniques, regression techniques and stochastic optimization techniques. Applications may range from the parameter estimation in genetic regulatory networks over prediction of brain dynamics to weather forecast. We invite you to submit an abstract until November 30, 2018 and the manuscript until June 30, 2019. Contributions will be published as soon as they are accepted and synchronously gathered in the Research Topic volume. For more information, do not hesitate to contact us (email of Axel Hutt: digitalesbad(a)gmail.com) The organisers Lili Lei (Nanjing University) Marc Bocquet (Ecole des Ponts ParisTech) Alberto Carrassi (Nansen Environmental Remote Sensing Center) Axel Hutt (Deutscher Wetterdienst) Roland Potthast (Deutscher Wetterdienst) -- Axel Hutt Directeur de Recherche Deutscher Wetterdienst - German Meteorological Service Research and Development, Department FE 12 (Data Assimilation) Frankfurter Strasse 135, 63067 Offenbach, Germany Tel.: +49 69 8062 2750 http://www.geocities.ws/digitalbath/

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New temporal multiple kernel learning method for characterizing relating SC to connectivity dynamics and Brain state switching
by Dipanjan Oct. 2, 2018

Oct. 2, 2018

Dear all, It is my pleasure to share with you a very recent methods and data driven modelling paper from our lab on how Resting State Dynamics Meets Anatomical Structure: Temporal Multiple Kernel Learning (tMKL) Model to explore SC-dFC-FC tripartite relationship published in Neuroimage. https://www.sciencedirect.com/science/article/pii/S1053811918318597?via%3Di… The proposed model uses spectral graph theory techniques to partitions aspects of the whole-brain dynamics essentially into two parts: (i) characterizing temporal dynamics through identification of latent transient states, and (ii) linking them to the underlying structural geometry. These two aspects are captured using a novel blend of unique methods. The proposed solution does not make strong assumptions about the underlying data and is generally applicable to resting or task data for learning subject-specific state transitions and for successfully characterizing SC-dFC-FC relationship through a unifying framework. MATLAB code for the proposed method can be downloaded from: https://github.com/SriniwasGovindaSurampudi/tMKL Any comments/questions/suggestions on the method/code are of course welcome. Regards, Dipanjan

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Several Openings, New Lab. Systems Neuroscience.
by Carmen Varela Oct. 2, 2018

Oct. 2, 2018

We are looking for researchers (undergraduate to postdoc) to join a new systems neuroscience laboratory that will open in the rapidly growing Jupiter campus of Florida Atlantic University (FAU) in 2019. Under the direction of Dr. Carmen Varela, the lab will seek to discover fundamental cellular and network mechanisms that contribute to cognitive behavior, with a focus on learning and memory and on the role of the neuronal circuits formed by the thalamus https://www.thethalamus.org/ We will rely heavily on extracellular recordings in behaving rodents and quantitative analyses of cellular activity and local field potentials, in order to investigate how thalamic networks contribute to memory retrieval, problem solving, and sleep-dependent memory consolidation. If you are passionate about these topics we would love for you to join us and be part of the founding projects of the lab! *General requirements: * Outstanding interpersonal and communication skills, demonstrated initiative and dedication, ability to learn fast. Hands-on research experience in neuroscience preferred, particularly with rodent models. Knowledge of MATLAB (and/or other programming languages) and computational skills (signal processing, statistics) desirable. Candidates selected for an interview will be asked to provide contact information for two references. Start date is flexible from January 2019. *What you get: * · Research experience in behavioral and cognitive neuroscience, electrophysiology, optogenetics, fiber photometry. · Mentorship and guidance to help you achieve your scientific and training goals. The lab is located in the Jupiter campus of FAU, an expanding neuroscience hub that also holds our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. If interested in joining as a graduate student, there are several programs within FAU and with the Max Planck and Scripps (http://www.ibrain.fau.edu/gradneuro/program.html) Application deadlines for graduate programs in the Fall of 2018. *Interested candidates please send a CV and a brief description of research skills and interests to: carmenv(a)mit.edu <carmenv(a)mit.edu> *

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PhD opportunities at the Universities of Bath and Exeter
by Purcell, Sarah Oct. 2, 2018

Oct. 2, 2018

Dear all, The Universities of Bath and Exeter are seeking applications for PhD candidates for two biology/medicine modelling projects. Both projects will use a combination of mathematical modelling and data analysis (possibly with some data collection for interested applicants). The studentship will cover 3.5 years, with a start date of September 2019. However, this is open for EU students only. The first project will involve multi-scale modelling of skeletal muscle bioenergetics, with applications to deficits in cystic fibrosis. The student would primarily be based at the University of Exeter (with Dr. Kyle Wedgwood & Prof. Craig Williams) with secondments at the University of Bath (with Dr. James Betts). For more information, see here: http://www.exeter.ac.uk/studying/funding/award/?id=3236 The second project will investigate ion channel mutations associated with dementia. The student would primarily be based at the University of Bath (with Prof. Alain Nogaret) with secondments at the University of Exeter (with Prof. Andy Randall, Dr. Kyle Wedgwood). For full details of the project, please visit http://www.gw4biomed.ac.uk/available-projects-2/neuroscience-and-mental-hea… and select the project entitled "In-depth understanding of dementia-associated changes to neuronal signalling" Best wishes, Dr. Kyle Wedgwood MRC Research Fellow Centre for Biomedical Modelling & Analysis College of Engineering, Mathematics and Physical Sciences University of Exeter Living Systems Institute Stocker Road EX4 4QD ________________________________________________________________

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Postdoctoral Fellow in Multifactorial Brain Analysis of Amyotrophic Lateral Sclerosis
by Yasser Iturria Medina Oct. 1, 2018

Oct. 1, 2018

We are looking for a highly motivated postdoctoral student, for joining the *Neuroinformatics for Personalized Medicine* lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada) and the Kalra lab for Neuroimaging and ALS Research (University of Alberta, Edmonton, Canada). The postdoc will be under the supervision of Professors Yasser Iturria-Medina and Sanjay Kalra, and will be expected to collaborate with multiple associated groups. The project, for one year and potentially extendable for another year, includes the analysis of direct multifactorial brain interactions and intra-brain network spreading of aberrant effects in Amyotrophic Lateral Sclerosis. The NeuroPM lab (http://www.neuropm-lab.com/) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative (*https://www.mcgill.ca/hbhl/ <https://www.mcgill.ca/hbhl/>*), the Ludmer Center (http://ludmercentre.ca/) and the McConnell Brain Imaging Center (https://www.mcgill.ca/bic/) involving computationally intensive and interdisciplinary research on the brain. The MNI is an internationally renowned institution, characterized by the integration of research and patient care. The Kalra Lab ( http://www.ualberta.ca/ALS/research/) has the mission of improving our understanding of ALS biology through brain imaging and translational research. It is the central coordinating site for the Canadian ALS Neuroimaging Consortium (CALSNIC), a multicenter research platform for the collection of harmonized imaging and behavioural data. Interested candidates should have a solid background in brain imaging and Matlab. Experience in neurodegeneration and brain computational modeling will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The competition will remain open until the position is filled. *Contact*: Yasser Iturria Medina, Emails: yasser.iturriamedina(a)mcgill.ca Sanjay Kalra, Email: kalra(a)ualberta.ca -- Yasser Iturria Medina, PhD. Montreal Neurological Institute, McGill University Montreal, Canada H3A 2B4, Phone # 514-398-1524 Lab: http://www.neuropm-lab.com/

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Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab
by Aaron Seitz Oct. 1, 2018

Oct. 1, 2018

Professor Aaron Seitz in the Department of Psychology at UC Riverside has several openings for graduate students. Students can work in one or both of the Perception and Learning lab and the Brain Game Center. The Perception and Learning lab conducts basic research on perception, learning and memory using a variety of approaches including advanced Psychophysics, EEG, and fMRI, and computational methodologies. The UCR Brain Game Center is a unique research unit that focuses on translational psychology and neuroscience work where we exploit the potential of consumer technologies to conduct research at large scale. This involves running hundreds to many thousands of participants on research studies designed to develop better measurements of perceptual and cognitive abilities as well as new training tools for these skills. To date we have developed numerous approaches addressing vision, hearing, working memory, executive function, and fluid intelligence. In both labs we use compu! tational modeling and machine learning as well as standard data analysis approaches. For more information on research in the Seitz labs please see http://faculty.ucr.edu/~aseitz/ and http://braingamecenter.ucr.edu. Prospective graduate students should send an email to aseitz(a)ucr.edu with their CV, and description of research interests. Successful applicants will receive funding toward their Ph.D. for at least 5 years. Please see the following websites for more information about the Psychology (https://psych.ucr.edu) or Neuroscience (http://neuro.ucr.edu) graduate programs. -Aaron ************************************************** Aaron Seitz, Ph.D. Professor of Psychology Director of UCR Brain Game Center University of California, Riverside 900 University Ave. Riverside, CA 92521 Ph: (951) 827-6422 Fax: (951) 827-3985 Email: aseitz(a)ucr.edu Web: http://faculty.ucr.edu/~aseitz/ BGC: http://braingamecenter.ucr.edu **************************************************

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Tenure-track faculty position in Computation Neuroscience at Western University, Canada
by Jorn Diedrichsen Sept. 29, 2018

Sept. 29, 2018

Supported by BrainsCAN, a $66M grant from the Canadian government (www.uwo.ca/brainscan<http://www.uwo.ca/brainscan>), Western University is expanding it’s strength in Neuroscience with a new tenure-track faculty position (Assistant or Associate Professor) in Computational Neuroscience. Successful candidates will join the Brain and Mind Institute (www.uwo.ca/bmi<http://www.uwo.ca/bmi>), one of the leading centres in cognitive Neuroscience in Canada, with a full range of ultrahigh field, research-dedicated MRI scanners (3T, 7T, 9.4T) and state-of-the-art laboratories for cognitive, behavioural, and neurophysiological testing in humans, non-human primates and rodents. The academic appointment of the candidate will be, depending on the candidate’s background, in the Department for Applied Mathematics, Statistics, or Computer Science. The deadline for the position in Computational Neuroscience is November 1st: https://brainscan.uwo.ca/work_with_us/vacancies/index.html Jörn Diedrichsen Western Research Chair Brain Mind Institute Department of Computer Science Department of Statistics Email: jdiedric(a)uwo.ca<mailto:jdiedric@uwo.ca> Tel: 1-519-661-2111 x86994

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Postdoctoral research in theoretical neuroscience
by Brent Doiron Sept. 29, 2018

Sept. 29, 2018

The Doiron group at the University of Pittsburgh is currently seeking up to three postdoctoral fellows to work on cutting edge problems in theoretical neuroscience. Research topics include 1) Large-scale collaboration on modeling diverse inhibitory circuits in mouse V1. The research will be in collaboration with the Columbia theory center (Ken Miller, Larry Abbott, Misha Tsodyks, and Liam Paninski) as well as experimental labs at Berkeley (Adesnik lab, Ji lab) , UCSF (Scanziani lab) and Caltech (Cai lab). 2) Modeling population activity in the visual system and its modulation through top-down cognitive processes. 3) Modeling the formation and stability mechanics of learning in recurrently coupled cortical networks. All projects will involve heavy collaboration with several prominent experimental groups both in Pittsburgh as well as abroad. The positions are 3 year terms (contingent upon satisfactory progress) with competitive salary and benefits packages offered by the University of Pittsburgh. The successful candidate will join the Mathematics department at the University of Pittsburgh and will have strong ties to the Center for the Neural Basis of Cognition in Pittsburgh (joint between Pitt and Carnegie Mellon University). Candidates should have a Ph.D. in computational neuroscience, mathematics, physics, or engineering and have an excellent track record of scholarship. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested persons should send their CV, a cover letter stating research interests and career goals, and names and contact information of two references to: bdoiron(a)pitt.edu . The competition will remain open until the positions are filled. -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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Faculty position in computational neuroscience at the University of Pittsburgh
by Brent Doiron Sept. 29, 2018

Sept. 29, 2018

Dear Computational neuroscience community The Dietrich School at the University of Pittsburgh invites applications for two tenure-track faculty positions at the Assistant Professor level in *Mathematical and Computational Life Sciences *to begin in the fall term of 2019. Successful candidates will be placed in the departments most suitable for their backgrounds and research programs from among the Departments of Mathematics, Biology, Neuroscience, Physics, and Chemistry. We seek outstanding scientists who will enhance and complement our existing strengths and who will collaborate with members of our sizable neuroscience, biology, biophysics, and biochemistry communities. One position is in *Mathematical and Computational Neuroscience. *Candidates working on the following topics are especially encouraged to apply: - Circuits and information flow in neuroscience - Neuronal and population dynamics - Synaptic mechanisms and dynamics - Neuronal membrane properties and ion channel function The other position is in *Mathematics and Theory of Biological Processes*. Candidates working on the following topics are especially encouraged to apply: - Mathematical ecology - Evolutionary theory - Cellular sensing and signal processing - Epigenetic and gene network dynamics The University of Pittsburgh is an active center for interdisciplinary research in the life sciences offering exciting opportunities for collaborations across departments as well as with our highly ranked medical school. The University is currently ranked third in the nation in total NIH funding, and the city of Pittsburgh is often voted “most livable” in the nation. These positions represent part of a vision to grow our community of researchers at the interface of mathematics, physics, chemistry and the life sciences. Successful candidates will have a Ph.D. and should demonstrate substantial research accomplishment and dedication to teaching. They will be expected to establish an extramurally funded research program, train graduate students, and actively participate in undergraduate education. *Review of applications will begin on October 23, 2018, *and will continue until the positions are filled*. *Applicants can apply online at: https://facultysearch.as.pitt.edu/apply/index/MjQy. Candidates should submit (a) a cover letter, (b) a CV, (c) a statement of research accomplishments and future plans, (d) a brief description of teaching interests, (e) a brief description of how your research, teaching or service demonstrates a commitment to diversity and inclusion, and (f) at least three letters of reference (for each reference, you will have the opportunity to input an email address through Interfolio’s Online Application system and a notification will be sent to the designated address with instructions). The positions are pending budgetary approval. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled. Person to Contact: Erika Carpio 139 University Place Room 302 Pittsburgh, PA 15206 412-624-8361 -- Professor of Mathematics Center for the Neural Basis of Cognition University of Pittsburgh 301 Thackeray Hall Pittsburgh, PA, 15260 www.math.pitt.edu/~bdoiron

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job opening in neural dynamics and control
by Obermayer, Klaus, Prof. Dr. Sept. 28, 2018

Sept. 28, 2018

Dear moderator, can post our job announcement below on the neuroinformatics mailing list? Thank you very much! Best regards Klaus Obermayer ------------------------------------------------------------------------------------------------------------------------------------------------ Neural Information Processing Group @ Technische Universität Berlin Research Assistant (PhD Position) in Computational Neuroscience Brain network models: Dynamics and Control Salary grade E13 (TV-L Berliner Hochschulen) Duration: max. 4 years Starting date: January 1st, 2019 Working field: The successful candidate is supposed to work on the analysis and simulation of calibrated whole-brain networks using neuronal mass models and on the design and evaluation of novel control schemes for the stabilization of and the switching between their dynamical states. She/he will be part of the Collaborative Research Center "Control of self-organizing nonlinear systems: Theoretical methods and concepts of application" (https://www.itp.tu-berlin.de/sfb910/ sonderforschungsbereich_910/sonderforschungsbereich_910/) as well as the Bernstein Center for Computational Neuroscience Berlin (https://www.bccn-berlin.de/) The candidate is also expected to interact with clinical scientists who are interested in the non-invasive manipulation of the whole-brain dynamics using transcranial current stimulation. Requirements: Successfully completed university degree (Master, Diplom, or equivalent) in Computational Neuroscience, Computer Science, Mathematics, Physics, or related fields; in-depth knowledge in non-linear dynamics and stochastic processes; very good programming and English language skills. How to apply: Please send your application with the usual documents (CV, motivation letter, transcripts of records, certificates, and the names of two persons who can provide recommendation letters) to Prof. Dr. Obermayer, FG Neuronale Informationsverarbeitung, Sekr. MAR 5-6, Marchstr. 23, 10587 Berlin, Germany, or by e-mail to klaus.obermayer(a)tu-berlin.de. For information about the research group see https://www.ni.tu-berlin.de/ Please send copies only. Original documents will not be returned. Aplication deadline: 26. 10. 2018 Reference number: IV-570/18

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Two PhD positions in computational and cognitive neuroscience
by Alireza Soltani Sept. 28, 2018

Sept. 28, 2018

Two PhD positions are available in the Computational and Cognitive Neuroscience Lab <http://ccnl.dartmouth.edu/> of Alireza Soltani at Dartmouth College. This NIH-funded project aims to uncover circuit-level mechanisms underlying adaptive learning. The project involves computational modeling at different levels (mean-field to spiking networks) as well as analyses of behavioral, electrophysiological, and calcium imaging data in rats during dynamic learning and decision-making tasks. Applicants should have a strong quantitative background (e.g. physics, math, statistics, computational neuroscience, computer science, etc), good programming skills, genuine interest in understanding the brain, and a collaborative attitude. A background in neuroscience is desirable, but not essential. Interested applicants should submit an inquiry to Alireza Soltani (soltani(a)dartmouth.edu <mailto:soltani@darmouth.edu>), and submit their applications to Psychological and Brain Sciences Program <https://pbs.dartmouth.edu/graduate/graduate-admissions>at Dartmouth College. Alireza Soltani, Ph.D. Assistant Professor Department of Psychological and Brain Sciences Dartmouth College, NH Alireza.Soltani(a)Dartmouth.edu <mailto:Alireza.Soltani@Dartmouth.edu> http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Phone: 603-646-2998 Office: Moore 356

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New ebook: Neural Information Theory
by James V Stone Sept. 27, 2018

Sept. 27, 2018

This book (published June 2018) is now available in Kindle and pdf formats: Principles of Neural Information Theory: Computational Neuroscience and Metabolic Efficiency by James V Stone. Reviews, synopsis, and table of contents can be found here: http://sebtelpress.com "To understand life, one has to understand not just the flow of energy, but also the flow of information." William Bialek, 2012. regards, Dr James V Stone Honorary Reader, Sheffield University, UK. Web: sebtelpress.com Twitter: @jgvfwstone

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EEG time-varying networks - paper & code
by Williams, Nitin J Sept. 27, 2018

Sept. 27, 2018

APOLOGIES FOR CROSS-POSTING: Dear all, I am just writing to let you know of our recent paper on a Markov Model-based method to analyse time-varying networks in EEG task-related data: https://doi.org/10.3389/fncom.2018.00076 The method combines sparse-MVAR (Multi Variate Auto Regressive) modelling to estimate networks, with Markov modelling to characterise network changes. We propose this method as complementing existing methods to analyse time-varying networks in EEG/MEG task-related data. MATLAB code for the method can be downloaded from: https://github.com/nitinwilliams/eeg_meg_analysis/tree/master/sMVAR_MM_tool… Any comments/questions on the method/code are of course welcome. Regards, Nitin

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Workshop announcement: The HBP CodeJam #9 Workshop
by Andrew Davison Sept. 27, 2018

Sept. 27, 2018

The HBP CodeJam #9 Workshop - Early-bird registration ends 30. Sept.! Grand Hotel Et Des Palmes, Palermo, Italy. Nov. 26, 2018 at 09:00 – Nov. 28, 2018 at 18:00 The goal of the CodeJam workshops is to catalyze open-source, collaborative software development in computational and systems neuroscience and neuroinformatics, by bringing together researchers, students and engineers to share ideas, present their work, and write code together. The general format of the workshops is to dedicate the mornings to invited and contributed talks, leaving the afternoons free for discussions, tutorials and code sprints. The theme of this 9th installment is "co-design": scientists, students and engineers from different disciplines collaborating to build research infrastructure for computation-based neuroscience, and to use this infrastructure to model brain circuits, behaviour and learning, develop novel bio-inspired computing systems, and help discover new drugs for neurological disorders. Topics of CodeJam#9: • Large-scale brain modelling: towards a mouse whole brain model • Cortical and subcortical microcircuit models: circuit and model workflows, simulation and analysing tools, computing resources and user interaction • Infrastructure and open data: Beyond traditional HPC, electrophysiology data formats and analysis • Visio-motor integration and hierarchical navigation planning: Integration with HBP Infrastructure (Neurorobotics platform) • Biological deep learning: Plasticity implementation on neuromorphic systems • Modelling for drug discovery and medicine Topics might change slightly, we are still finalizing the programme. Confirmed speakers (not yet complete): • Matteo Cantarelli • Oliver Schmid • Markus Diesmann • Stine Vennemo • Håkon Mørk • Armandi Romani • Genrich Ivaska • Shailesh Appukuttan • Bernd Schuller • Michael Denker • Alper Yegenoglu • Lorenzo Vannucci More information and registration details at https://neuralensemble.org/meetings/CodeJam9/ Registration fee: Early-bird registration ends on 30 September 2018 Programme Committee Luca L. Bologna (CNR), Andrew Davison (CNRS), Anna Kreshuk (U. Heidelberg), Eric Müller (U. Heidelberg), Jeff Muller (EPFL), Bernd Schuller (FZ Jülich) Organisers Luca L. Bologna (CNR), Alessia Bonafede (CNR), Martina Schmalholz (U. Heidelberg)

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Postdoctoral position in memory, sequence replay, and sleep
by Kamran Diba Sept. 26, 2018

Sept. 26, 2018

<https://sites.lsa.umich.edu/diba-lab/>The Diba Lab <https://sites.lsa.umich.edu/diba-lab/> at the University of Michigan Medical School is currently recruiting a postdoctoral candidate for a project recently funded by two NIMH (R01 and R21) grants. The project involves a collaboration with Dr. Ted Abel’s lab at the University of Iowa to investigate the Molecular, Cellular and Circuit Effects of Sleep Deprivation on Hippocampal Function. The successful candidate will perform and analyze large-scale neuronal recordings from freely-behaving, sleeping and sleep-deprived animals, along with chemogenetic manipulations, immunohistochemistry and biochemical assays. Data analysis of oscillatory and sequential neuronal firing patterns, using MATLAB, python, and other tools, is critical for this research and the prospective candidate should demonstrate quantitative and programming skills. The salary will be based on the National Research Service Award (NRSA) payscale <https://grants.nih.gov/grants/guide/notice-files/NOT-OD-18-175.html>. Our lab is housed in the Department of Anesthesiology and the Center for Consciousness Science <https://consciousness.med.umich.edu/> at Michigan Medicine. We are affiliated with the Department of Biomedical Engineering <http://bme.umich.edu/explore-research/> and the Neuroscience Graduate Program <http://neuroscience.med.umich.edu/program-0>. Collectively these programs and the University of Michigan at large provide a highly exciting and stimulating scientific environment for computational and systems neuroscience. The city of Ann Arbor is also consistently ranked <https://annarborusa.org/insights/communities/facts-rankings/> among the top places in the U.S. to live (with ready access to cultural events, sports, parks and natural beauty. Applicants should contact Kamran Diba: kdiba(a)umich.edu with a detailed C.V. or resume and a description of research background, skills, and interests. ------------- A top-ranked public university, the University of Michigan has a tradition of excellence in research, learning and teaching, sports and the arts, and more. The neuroscience community at the University of Michigan encompasses over 154 participating faculty from among 29 departments from the School of Medicine (including the Department of Anesthesiology), College of Literature Science and Arts, College of Engineering, School of Dentistry, School of Kinesiology and School of Public Health. As the longest standing neuroscience Ph.D. program in the United States the Neuroscience Graduate Program at U-Michigan has built an exceptional graduate program that features collaborative interactions among faculty and integration across individual disciplines. The program is composed of 70 to 80 graduate students (currently, 52% women, 30% under-represented minorities) and has more than 130 successful and accomplished alumni that work in academic research, industrial research and development, academic medicine and biotechnology. The NGP sponsors many activities that foster development of an active and cohesive neuroscience community on campus (e.g. Weekly Neuroscience Research Seminars, Annual Retreat, Spring Symposium, and Community Outreach).

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