- Comp-neuro - lists.cnsorg.org

Faculty Position: Applied Mathematics Northwestern University

by Hermann Riecke

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.

Oct. 13, 2018

Opportunities to collaborate with the EPSRC Centre for Predictive Modelling in Healthcare

by Purcell, Sarah

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

Oct. 12, 2018

PhD position in statistical methods in neuroscience

by Benjamin Dunn

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.

Oct. 11, 2018

Multiple open-rank tenure-track positions open at the AI Institute of Stony Brook University

by Memming Park

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/

Oct. 11, 2018

Faculty position in computational neuroscience at University of Illinois

by Sutton, Brad

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.

Oct. 10, 2018

Advanced Research Fellowships - Artificial Intelligence

by Peter Andras

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/

Oct. 10, 2018

COSYNE 2019: Abstract submission is now open; Call for workshop proposals; Cosyne Mentoring Forum

by Tomas Hromadka

==================================================== 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.

Oct. 10, 2018

[publication and call for dialog] IEEE CIS Newsletter on Cognitive and Developmental Systems

by Pierre-Yves Oudeyer

Dear colleagues, we are happy to announce the release of the latest issue of the IEEE CIS Newsletter on Cognitive and Developmental Systems (open access). This is a biannual newsletter addressing the sciences of developmental and cognitive processes in natural and artificial organisms, from humans to robots, at the crossroads of cognitive science, developmental psychology, artificial intelligence, machine learning and neuroscience. It is available at: https://goo.gl/NAwBfD Featuring dialog: === "Curiosity as Driver of Extreme Specialization in Humans" == Dialog initiated by Celeste Kidd with responses from: Elizabeth Bonawitz, Maya Zhe Wang, Brian Sweis, Benjamin Hayden, Susan Engel, Abigail Hsiung, Shabnam Hakimi, Alison Adcock, Moritz Daum, Arjun Shankar, Tobias Hauser, Goren Gordon and Perry Zurn == Topic: Curiosity-driven learning is probably one of the most fundamental mechanisms in human learning, and yet it is also probably one of the least understood. Broadly construed as spontaneous exploration and engagement with activities or material without any extrinsic goal (as opposed to searching for information useful for an extrinsic goal), many mysteries remain to be uncovered. What are the causal links between curiosity and learning? How does prior knowledge about a topic or an activity relates to curiosity about this topic? What is the role of curiosity in life-span development? Can human curiosity explain the apparently unique tendency of humans for extreme specialization? Reversely, how do different forms of curiosity (diversive or specific) evolve as children grow up and become adults? While early computational models of curiosity propose theoretical approaches to understand their cognitive mechanisms, how can we understand the affective/ emotional dimensions of curiosity? And how has the linguistic concept of “curiosity” evolved in occidental culture? Call for new dialog: === « Leveraging Adaptive Games to Learn How to Help Children Learn Effectively" == Dialog initiated by George Kachergis == Topic: How can one achieve efficiently “translational educational sciences” and get these principles used in real-world large-scale educational technologies? In this dialog, Georges Kachergis highlights challenges related to collaborations between cognitive scientists and game developers, how to deploy real world experiments, and how to enable scientific understanding when many variables cannot easily be controlled? Those of you interested in reacting to this dialog initiation are welcome to submit a response by December 15th, 2018. The length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) Let us remind you that all issues of the newsletter are all open-access and available at: https://goo.gl/ZjjZNz I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Cognitive and Developmental Systems Research director, Inria Head of Flowers project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com Twitter: https://twitter.com/pyoudeyer and Fabien Benureau, Editorial Assistant Cognitive NeuroRobotics Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa Japan Email: fabien.benureau [at] oist [dot] jp

Oct. 10, 2018

PhD project in computational modeling of Alzheimer’s disease at MCEN/BCAM, Bilbao, Spain

by Maurizio De Pitta

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/

Oct. 9, 2018

Tenure-Track Junior Professor in Computational Neuroscience at Ecole Normale Superieure, Paris France

by boris gutkin

> 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 > >

Oct. 7, 2018

PhD studentship: Rapid Bacteria Colony Counting Algorithm Development

by Steuber, Volker

PhD Studentship: Rapid Bacteria Colony Counting Algorithm Development ?Biocomputation Research Group , University of Hertfordshire and Synoptics Limited, Cambridge Programme Description The University invites applications for a PhD student to join our Hertfordshire Knowledge Exchange Partnership (HKEP) scheme. This four-year project requires a PhD student to undertake a collaborative research project with support from University academic supervisor(s) and company scientists. The project begins with a Knowledge Exchange year in which you are based in the company. Successful completion of the first year will require the submission of a scientific report, research proposal and an oral examination. The successful candidate will then begin a three-year PhD research project in an area of interest to the company. Start date: January 2019 Duration: Four years Company: Synoptics Limited, Cambridge Stipend: Starts at £15,220 per annum plus approved expenses. All students will also receive a maximum contribution towards their individual tuition fees that is equivalent to the Home/EU student fee in each year of registration. Project Overview: Bacterial colony counting is widely used in both industry and research laboratories in a wide range of applications; these include quality control, environmental monitoring, immunological studies and medical testing. The number of colonies on an agar plate can be used to estimate the number of viable bacteria (total viable count) present in a test sample. This can then be used as an indicator of the cleanliness of a surface, the sterility of a product or the presence of a bacterial infection. Traditionally, colony counting was performed manually or using a light box which was time-consuming and prone to human error. The advent of automated colony counters, which use sophisticated algorithms to detect and count colonies based on shape or colour, has overcome these drawbacks. The popular technologies exploited for bacteria colony counting are edge detection techniques for image processing. However, a number of challenges remain in automated colony counting: identifying and splitting touching colonies, background noise, colony density variance etc. Hence, more advanced and sophisticated techniques need to be developed to cope with these issues while taking efficiency into account. The aim of this project is to propose and implement new algorithms which are robust to noise for rapid bacterial colony detection and counting. Supervisor Information Dr Na Helian Dr Yi Sun Dr Peter Lane Mr Richard Hopwood Application Process For further information and to apply for this role please email hsp(a)herts.ac.uk. The deadline for applications is 31st October 2018. Informal enquires should be addressed to Dr. Na Helian (n.helian(a)herts.ac.uk) Please note that applications sent directly to these address will not be accepted.? https://www.jobs.ac.uk/job/BNE643/phd-studentship-rapid-bacteria-colony-cou…

Oct. 5, 2018

Research Assistant Professor opening for NeuroMorpho.Org IT Manager position

by Ruben Armananzas Arnedillo

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

Oct. 3, 2018

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

by Zachary Kilpatrick

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.

Oct. 3, 2018

Open Rank Faculty Position, Department of Mathematics, City College of New York, CUNY

by Asohan Amarasingham

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.

Oct. 2, 2018

Frontiers Research Topic on Neuroscience of response inhibition

by Vassilis Cutsuridis

Announcement of the Frontiers Research Topic --------------------------------------------------------------------------------------------------------------------------------------------------------- Neuroscience of response inhibition: bridging scales with experiments and computational modelling ---------------------------------------------------------------------------------------------------------------------------------------------------------- Response inhibition is the ability to override a planned or an already initiated response. It is the hallmark of executive control, because it allows people to flexibly adjust their behaviour according to their goals. In everyday life, there are many examples of response inhibition, such as stopping yourself when you are about to cross a street where a speeding car is approaching. Response inhibition deficits favour impulsive behaviours which may be detrimental to an individual’s life and it has been linked to disorders such as attention-deficit/hyperactivity disorder, obsessive-compulsive disorder, schizophrenia, and substance abuse disorders. In this Research Topic, we welcome papers critically evaluating the existing methods of response inhibition, introducing new experimental and theoretical approaches that probe particular parts of brain circuitry and unravel neuronal mechanisms as candidates of impulse control. We welcome scientists from different fields: from neuroscience of microcircuits to systems neuroscience of large-scale networks and behavioural neuroscience. The work can be experimental or computational. Commentaries and reviews on innovative key issues of response inhibition are also welcome. We invite you to submit a manuscript until November 30, 2018. 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 Vassilis Cutsuridis: vcutsuridis(a)gmail.com <digitalesbad(a)gmail.com>). The organisers Vassilis Cutsuridis (University of Lincoln) Ganesan Venkatasubramanian (National Institute of Mental Health and Neurosciences, Bangalore, India)

Oct. 2, 2018

New temporal multiple kernel learning method for characterizing relating SC to connectivity dynamics and Brain state switching

by Dipanjan

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

Oct. 2, 2018

Several Openings, New Lab. Systems Neuroscience.

by Carmen Varela

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> *

Oct. 2, 2018

PhD opportunities at the Universities of Bath and Exeter

by Purcell, Sarah

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 ________________________________________________________________

Oct. 2, 2018

Postdoctoral Fellow in Multifactorial Brain Analysis of Amyotrophic Lateral Sclerosis

by Yasser Iturria Medina

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/

Oct. 1, 2018

Graduate Student openings in the UCR Brain Game Center and Sensory Learning Lab

by Aaron Seitz

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 **************************************************

Oct. 1, 2018

Tenure-track faculty position in Computation Neuroscience at Western University, Canada

by Jorn Diedrichsen

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

Sept. 29, 2018

Postdoctoral research in theoretical neuroscience

by Brent Doiron

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

Sept. 29, 2018

Faculty position in computational neuroscience at the University of Pittsburgh

by Brent Doiron

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

Sept. 29, 2018

job opening in neural dynamics and control

by Obermayer, Klaus, Prof. Dr.

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

Sept. 28, 2018

Two PhD positions in computational and cognitive neuroscience

by Alireza Soltani

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

Sept. 28, 2018