- Comp-neuro - lists.cnsorg.org

Neural data scientist position at the Flatiron Institute
by Eftychios Pnevmatikakis May 9, 2019

May 9, 2019

Apologies for cross-posting: The Center for Computational Mathematics at the Flatiron Institute in New York City is looking for a full time data scientist to work on neuroscience related projects. The main focus of this position will be on the development and support of CaImAn <https://github.com/flatironinstitute/caiman>, an open source software package for standardized and reproducible analysis of fluorescence microscopy (calcium imaging) data. Basic duties: - Researching novel data analysis algorithms for large scale fluorescence microscopy data. - Maintenance of existing codebase and user support. Qualifications: - BA/BS degree (MA or PhD preferred) in Engineering, Computer Science, Mathematics, Neuroscience or related technical field. - Programming experience in Python. - Background in either neural data analysis, machine learning, statistics, image processing, or computer vision is preferred. Informal inquiries should be sent to epnevmatikakis(a)flatironinstitute.org For more information and to apply please follow this link <https://simonsfoundation.wd1.myworkdayjobs.com/en-US/simonsfoundationcareer…> .

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Professorship in Artificial Intelligence
by Steuber, Volker May 8, 2019

May 8, 2019

Professor of Artificial Intelligence University of Hertfordshire, UK School of Computer Science, College Lane Campus, Hatfield Salary £58,293 to £64,397 pa dependent on skills and experience FTE: Full time position working 37 hours per week (1.0FTE) Duration of Contract: Permanent position Closing date: 3 September 2018 Applications are invited for an exceptionally well qualified Professor of Artificial Intelligence of international standing who shares our commitment to research-informed teaching, embraces the research impact agenda, and values collegiality. Applicants will strengthen existing activity within the School and develop it further, enhancing the research strengths and external reputation of the School of Computer Science and contributing significantly to its performance in future research assessments and collaborations with public and commercial partners. The successful applicant will connect to and complement the research conducted by the Adaptive Systems Research Group within the Centre for Computer Science and Informatics Research. The School hosts the University of Hertfordshire Robot House, a facility ubiquitously equipped with low-cost sensors providing a realistic environment for experiments with robotics in a smart home; a fully-fledged RoboCup lab for development of humanoid robots participating in international competitions, and a large variety of different robotic platforms, including iCub and Baxter. We encourage applications from researchers across a wide spectrum of AI, and particularly encourage applications from researchers working on emerging topics in AI. Possible fields include, but are not limited to: • Machine learning: reinforcement learning, Deep Methods, statistical methods, large scale data modelling/intelligent processing and high-performance learning algorithms • Robotics: embodied and/or cognitive robotics, HRI, robot safety, emotional/social robots, smart homes and sensors, sensor fusion, assistive robotics • Complex Systems: collective intelligence, adaptive, autonomous and multi-agent/robot systems, collective and swarm intelligence, social and market modelling, adaptive, evolutionary and unconventional computation • Mathematical Modelling: statistical modelling, information-theoretic methods, compressive sensing, intelligent data visualization, multiscale models, optimization • Emerging Topics in AI: computer algebra and AI, topological methods (e.g. persistent homology), modern topics in games and AI • AI and applications: financial modelling, AI and biology/physics/cognitive sciences • Foundations: fundamental questions of intelligence and computation, emergence of life/intelligence, Artificial Life As well as providing research supervision at PhD and MSc level, the School of Computer Science offers modules in Artificial Intelligence, machine learning, neural and evolutionary computing, as well as Artificial Life on the BSc and MSc programmes. Applicants will be committed to a strong research and research-informed teaching agenda, and will actively contribute to increase research impact of the School, in the enthusiastic, welcoming and collegiate environment of the school. Applicants must hold a PhD (or equivalent) in a relevant subject, possess excellent communication skills in English, an internationally excellent research record and reputation, including publications of the highest quality suitable for submission to the REF (UK Research Excellence Framework). Applicants are expected to show evidence of experience and success in research/commercial income generation, engagement with the research impact agenda, engagement with key stakeholders in the relevant Artificial Intelligence community and management and leadership ability. The professor will have opportunity to contribute actively to interdisciplinary research projects at the school and university level. Applications must be made online https://www.herts.ac.uk/contact-us/jobs-and-vacancies/academic-vacancies?, reference 016194?. Informal enquiries may be addressed to Dr Volker Steuber (Associate Dean Research, v.steuber(a)herts.ac.uk) or Professor William Clocksin (Dean of School, w.clocksin(a)herts.ac.uk) Please note that applications sent directly by email will not be accepted.

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ML staff scientist position at NIMH/NIH
by Ryan Philips May 8, 2019

May 8, 2019

The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm(a)mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

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Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis
by Allison Ong May 8, 2019

May 8, 2019

Call for applications: NeuroNex Jr Scientist Workshop on Advance Neural Data Analysis at Columbia University Apply here: https://tinyurl.com/yyxnacmd Application Deadline: May 25, 2019 Workshop dates: August 26 - 29, 2019 Details: https://ctn.zuckermaninstitute.columbia.edu/junior Hosted by the Center for Theoretical Neuroscience at Columbia University Co-Organized by the NeuroNex Theory Team at University of Houston This workshop is intended for PhD students and postdocs who want to learn and share with their peers new advanced techniques in data analysis and apply them to complex neural datasets. Attendees will present their research projects, followed by a hands-on programming tutorial on the computational techniques used in their work. We encourage applications from female scientists and those belonging to underrepresented minorities. Funds will be provided by NSF's NeuroNex initiative to cover travel, accommodation, and meals. Questions? Email neuraldataworkshop(a)gmail.com

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Fully-funded 3 year PhD studentship in Mark Humphries' lab (Nottingham)
by Mark Humphries May 8, 2019

May 8, 2019

A fully funded PhD position is available with Prof. Mark Humphries at the University of Nottingham (UK), on a project entitled "Mapping the wires using neural activity". The studentship is for 3 years, and is open to UK/EU citizens. The wiring between neurons, the connectome, defines their activity. So in order to understand the activity of neurons we record from, we want to know the wiring between them. But current technology does not allow the simultaneous recording and tracing of the connections between neurons. To solve this problem, this project will develop computational techniques to accurately infer wiring between neurons from the next generation of imaging techniques that directly record neuron voltages. The project will combine development of algorithms, simulations of neural circuits as test-beds, and analysis of real imaging data from neural populations. For full details and application instructions please see: https://www.findaphd.com/phds/project/fully-funded-phd-position-mapping-the… For more on the Humphries Lab, see our website: https://www.humphries-lab.org/ For further information about the project, or to discuss other projects, please contact Prof Mark Humphries (mark.humphries(a)nottingham.ac.uk) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany
by Laurenz Wiskott May 8, 2019

May 8, 2019

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. The position is immediately available. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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Registration and Call for Abstracts for the 2nd Conference of the Timing Research Forum
by teki May 7, 2019

May 7, 2019

Dear all, Registration and call for abstracts and symposium proposals for the 2nd Conference of the Timing Research Forum <http://timingforum.org/> (TRF2) is now open. TRF2 is the second international conference dedicated to multidisciplinary research on timing and time perception and will be held at UNAM in Queretaro, Mexico from October 15-17, 2019. TRF2 builds upon the massive success of TRF1 held in Strasbourg, France in Oct. 2017 that was attended by 250+ scientists with a shared passion for understanding timing and time perception through varied experimental, computational and clinical approaches. The deadline to submit abstracts and symposium proposals is May 25, 2019. During the submission process, please indicate if you wish to present an oral or poster presentation, and express your interest for student travel awards. All selected abstracts will be published in the journal, Timing and Time Perception Reviews <http://www.brill.com/node/37536>. We are pleased to announce three impressive Keynote Speakers - - Kia Nobre, Oxford University - Mehrdad Jazayeri, MIT - Albert Tsao, Stanford University Albert Tsao will give the TRF2 ECR Keynote Prize Lecture based on his paper - ’Tsao, Sugar, Lu, Wang, Knierim, Moser, Moser (2018; Nature) Integrating time from experience in the lateral entorhinal cortex’, that was selected by the members of TRF as the 'Best Timing Paper of 2018'. We look forward to proposals of sponsorship. Our sponsorship booklet is available here <https://drive.google.com/open?id=1UzZk6pYk5RgaNOXgpbnPXP4hHcHf1bz6>. Anyone interested in joining the Timing Research Forum can do so by following the instructions at this link <http://timingforum.org/membership>. For further details about abstract submission guidelines, conference program, registration, accommodation etc., please visit the TRF2 conference website - http://trf2.inb.unam.mx/. We encourage everyone to register early to avail discounted prices and look forward to seeing you in Queretaro! TRF2 Conference Chairs: Hugo Merchant, UNAM Victor de Lafuente, UNAM trf2mexico(a)gmail.com TRF2 Scientific Committee: Dean Buonomano, UCLA John Iversen, UCSD Rich Ivry, UC Berkeley Laurel Trainor, McMaster University Virginie van Wassenhove, INSERM Martin Wiener, George Mason University https://trf2.inb.unam.mx/?page_id=228 Timing Research Forum: Sundeep Teki, Amazon Alexa AI Argiro Vatakis, Panteion University TRF ECR Committee timingforum.org

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2019 NEURON Summer Course
by Carnevale, Nicholas May 7, 2019

May 7, 2019

A few seats remain open for the 2019 NEURON Summer Course, but you'll have to act quickly because the registration deadline is Friday, May 31, and no applications will be accepted after that date. This year's course will be held at the Minneapolis campus of the University of Minnesota (UMN) from Monday, June 10, through Saturday, June 15. It provides a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. UMN has made a limited number of private and semiprivate rooms in graduate student housing available to course registrants at very affordable rates; further information will be provided to applicants upon payment of the course's registration fee. For more information and the on-line registration form, see https://neuron.yale.edu/neuron/static/courses/summer2019/summer2019.html --Ted

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7th Baltic-Nordic School on Neuroinformatics BNNI 2019, August, Frankfurt Germany
by Martin Mittag May 6, 2019

May 6, 2019

*7th Baltic-Nordic School on Neuroinformatics BNNI 2019* *Modeling Healthy and Diseased Brain: From Dendrites to Neurons and Networks*** *Frankfurt am Main, Germany* *26-28 August 2019* ** *We invite* Advanced master students, doctoral students, and postdoctoral researchers are welcome to participate in the BNNI 2019 to be held at the FIAS, the Frankfurt Institute for Advanced Studies, Frankfurt Main, Germany in August 2019. *The Course* The course is interdisciplinary and covers modeling at different levels of organization of the brain, from single neurons to microcircuits and networks. We will focus on differences between healthy and diseased brains. Participants will learn about compartmental and morphological modeling of synapses, dendrites and neurons, as well as simulating local field potentials (LFPs). The course combines lectures, tutorials and computer exercises. This summer school is the seventh in the series of the Baltic-Nordic Courses on Neuroinformatics (BNNI 2013 in Kaunas, Lithuania; BNNI 2014 in Tampere, Finland; BNNI 2015 in Tartu, Estonia; BNNI 2016 in Warsaw, Poland; BNNI 2017 in Kaunas, Lithuania; BNNI 2018 in Ventspils, Latvia). *Target audience* The target audience of the course will be advanced master students, doctoral students and postdoctoral researchers in biomedical and technology sciences, from medicine, biology, psychology, to mathematics, informatics, information technology, physics, chemistry, who would like to get an introduction to neuroinformatics and computational neuroscience. Some experience with programming and quantitative reasoning as well as strong interest in computational and mathematical modeling of the brain will be desirable but not necessary to benefit from the school. We will use the NEURON simulation environment for biophysical realistic models of neurons and the Matlab software package including the TREES toolbox. Desktop computers will be provided for the exercise part. *Important Dates* * 15 May 2019*: Application deadline * 1 June 2019:* Acceptance notification *26 - 28 August 2019:* School *Venue* The lectures will be held on 26th to 28th of August, 2019, at the: Frankfurt Institute for Advanced Studies, Ruth-Moufang-Straße 1, 60438 Frankfurt am Main, Germany. Frankfurt is a very international city in the heart of Germany and Europe. The city centre combines the historic, medieval past with the modern, economic present. We are looking forward to welcoming you in Frankfurt! *More information and applications at* _web.lsmuni.lt/bnni2019/en <http://web.lsmuni.lt/bnni2019/en>_ *Practical arrangements* The organizers will provide teaching materials, meals and coffee during the course. The participants are expected to cover their travel and health insurance expenses. There is a small fee to be paid (30 - 100 EUR). If you are not sure whether you can afford it, apply anyway. We have some stipends for members of OCNS (www.cnsorg.org) to give away. Student residence is provided and close to the campus in the Relexa hotel. *Faculty includes* Marja-Leena Linne, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland Bruce Graham, Institute of Mathematics and Informatics, University of Stirling, UK Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Arnd Roth, Wolfson Institute of Biomedical Research, University College London, UK Misha Tsodyks, Department of Neurobiology, Weizmann Institute of Science, Israel Dieter Jäger, Biology Department, Emory University, Atlanta, USA Gaute Einevoll, Norwegian University of Life Sciences & University of Oslo, Norway Matthew Larkum, Neurocure Cluster of Excellence, Humboldt University, Berlin, Germany Daniel Wojcik, Nencki Institute of Experimental Biology, Warsaw, Poland Hermann Cuntz, ESI & FIAS, Frankfurt, Germany Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Gilles Laurent, MPI for Brain Research, Frankfurt, Germany Jochen Triesch, FIAS, Frankfurt, Germany Tatjana Tchumatchenko, MPI for Brain Research, Frankfurt, Germany Julijana Gjorgjieva, MPI for Brain Research, Frankfurt, Germany Arvind Kumar, KTH Royal Institute of Technology, Stockholm, Sweden Aiste Pranckeviciene, Lithuanian University of Health Sciences, Kaunas, Lithuania Viola Priesemann, MPI Göttingen, Germany Matthias Kaschube, FIAS, Frankfurt, Germany *Organizing committee* **** **Peter Jedlicka, ICAR3R, Justus Liebig University Gießen, Germany Ausra Saudargiene, Neuroscience Institute, Lithuanian University of Health Sciences, Kaunas, Lithuania Marja-Leena Linne, Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland Jochen Triesch, FIAS, Frankfurt, Germany * We are looking forward to welcoming you at the BNNI 2019 in Frankfurt am Main, Germany!*

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NEST Conference 2019 / Registration Deadline 15 May / Extended Poster Deadline 15 May
by Hans Ekkehard Plesser May 5, 2019

May 5, 2019

Dear Colleagues! We are looking forward to an exciting NEST Conference 2019 at NMBU, Ås, Norway on 24-25 June 2019 with talks covering a wide range of topics from simulation technology to large-scale network simulations as shown below. Please register at https://www.nest-initiative.org/conference by Wednesday, 15 May 2019 We still have a few slots for conference posters available, so you are still welcome to submit your poster until 15 May. Please see the conference website for instructions. We are looking forward to seeing you in Ås in June! Hans Ekkehard Plesser, Susanne Kunkel & Dennis Terhorst NEST Conference 2019 Talks (only presenting author shown) • GeNN: GPU-enhanced neural networks (James Knight) • Communication sparsity in distributed Spiking Neural Network Simulations to improve scalability (Carlos Fernandez-Musoles) • Sleep-like slow oscillations induce hierarchical memory association and synaptic homeostasis in thalamo-cortical simulations (Cristiano Capone) • Implementation of a Frequency-Based Hebbian STDP in NEST (Alberto Antonietti) • Spike Timing Model of Visual Motion Perception and Decision Making with Reinforcement Learning in NEST (Petia Koprinkova-Hristova) • What’s new in the NEST user-level documentation (Jessica Mitchell) • ICEI/Fenix: HPC and Cloud infrastructure for computational neuroscientists (Jochen Eppler) • Construction and characterization of a detailed model of mouse primary visual cortex (Stefan Mihalas) • Large-scale simulation of a spiking neural network model consisting of cortex, thalamus, cerebellum and basal ganglia on K computer (Jun Igarashi) • Simulations of a multiscale olivocerebellar spiking neural network in NEST: a case study (Alice Geminiani) • A NEST CPG for pythonic motor control: Servomander (Harry Howard) • NEST desktop: A web-based GUI for NEST simulator (Sebastian Spreizer) • Tools for the Visual Analysis of Simulation Datasets (Óscar David Robles) • Neural Network Simulation Code for Extreme Scale Hybrid Systems (Kristina Kapanova) • NEST performance profiling (Susanne Kunkel) -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no Home http://arken.nmbu.no/~plesser

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Postdoc opportunity in computational/human vision at the University of Toronto
by Dirk Bernhardt-Walther May 5, 2019

May 5, 2019

University of Toronto, Bernhardt-Walther Lab and Semantic Technology Lab A Post-doctoral position in computational modeling of vision and knowledge acquisition is available with Dirk Bernhardt-Walther (Psychology) and Michael Grüninger (Mechanical and Industrial Engineering) at the University of Toronto. We seek a colleague who shares our interest in explaining how structured knowledge about the world arises through visual perception. The project combines formal logic in ontologies with perceptual grouping of visual elements in complex, real-world scenes. Optionally, the project may involve measuring brain activity using functional magnetic resonance imaging. The ideal candidate has a strong computational and mathematical background, experience with state-of-the-art computer vision techniques and/or a strong background in computational neuroscience. The ability to communicate with a diverse team of researchers from engineering and psychology is an essential prerequisite. Current state-of-the-art computational models of visual processing are trained to extract visual features of increasing complexity in a hierarchy of layers, choosing a label from a pretrained set of categories at the apex of the hierarchy. Such systems lack an important aspect of the human visual system – a notion of meaning of visual content. The project aims to develop a new model of visual perception, which integrates the generation of networks of meaning into all levels of the visual processing hierarchy, thus allowing structured visual knowledge to arise naturally from visual perception. Specifically, this will involve the generation of a large database of images of real-world scenes with detailed ontological annotations, development of data structures and algorithms for extracting such ontological structures automatically from images, and testing the viability of our new meaning-based model of vision for explaining aspects of human vision. The University of Toronto, typically ranked as one of the world’s top 20 research universities, is located in downtown Toronto. The city is one of the most livable and cosmopolitan cities in the world, and has a vibrant academic and information technology community. This full-time position includes benefits and is fully funded for two years, with an initial appointment of one year. There is also the possibility of extending the position beyond the first two funded years by applying for outside fellowships. The earliest start date is September 3rd, 2019. Applicants should submit a CV, brief research statement, relevant publications, and contact details for two academic references to the addresses below. Please contact us at either address below for more information. Contact Details: Dirk Bernhardt-Walther: bernhardt-walther(a)psych.utoronto.ca, bwlab.utoronto.ca Michael Grüninger: gruninger(a)mie.utoronto.ca, stl.mie.utoronto.ca https://bwlab.utoronto.ca/postdoc-opening/

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Job Opening in Juelich, Germany: PhD project: An approach to tracking the provenance of data acquisition and analysis in neuroscience
by Martina Reske May 3, 2019

May 3, 2019

The Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE) provides an interdisciplinary environment for educating the next generation of data scientists in close contact to domain-specific knowledge and research. All three domains – life & medical sciences, earth sciences, and energy systems/materials – are characterized by the generation of huge heterogeneously structured data sets, which have to be evaluated in order to obtain a holistic understanding of very complex systems. Visit HDS-LEE at: www.hds-lee.de<https://www.hds-lee.de/> As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy, and bioeconomy. It focuses on varied tasks in the area of research management and utilizes large, often unique, scientific infrastructures. Come and work with around 5,900 colleagues across a range of topics and disciplines at one of Europe’s largest research centres. The institute The Institute of Neuroscience and Medicine (INM) at the Jülich Research Center in Germany investigates the structure and function of the brain. The department INM-6 consists of 6 groups that conduct research in the field of computational and systems neuroscience. The Statistical Neuroscience group headed by Prof. Sonja Grün develops computational methods to analyze the joint activity of neuronal networks, and applies these methods to experimental data in the context of international collaborations using state-of-the-art approaches from neuroinformatics. The group is hiring a Doctoral Student (m/f) to strengthen its international and interdisciplinary team. Your Job: - Conceptualization, development and implementation of a tool and services to capture provenance of advanced workflows for the analysis of electrophysiological neuroscience data from complex, high-dimensional experimental recordings of brain activity. - Implementation of version-controlled, provenance-tracked data/metadata processing and analysis workflows using state-of-the-art technologies along the FAIR principles. - Co-development of data types and object models, metadata schemata, ontologies and software tools to describe results data and provenance information for typical analysis scenarios in neuroscience. - Representing the technology at scientific conferences and courses, to the public, and within the EU Flagship Project “Human Brain Project”. Your profile - MSc. in natural sciences or computer science - Good expertise in Python. - Preferably knowledge in semantic web technologies relevant for data curation, ontologies and provenance (RDF, XML, JSON, SHACL, PROV,…), in version control and issue tracking systems, and in Linux; - Experience with electrophysiological data and corresponding acquisition/storage technologies - Excellent communication skills in English are mandatory: TOEFL or equivalent evidence of English-speaking skills - Outstanding organizational skills and the ability to work independently - A high level of scholarship as indicated, for example, by bachelor/master study transcripts and two reference letters - You are convincing with your confident attitude and good communication skills - Outstanding organizational skills and the ability to work independently - Very good cooperation and communication skills and ability to work as part of a team in an international and interdisciplinary environment Our offer - 3 year position - Continuous scientific mentoring by your scientific advisor - Chance of participating in (international) conferences - Further development of your personal strengths, e.g. via a comprehensive further training program - FZ Jülich does not award PhD tiles. Doctoral degree conferred by RWTH Aachen University - Exciting work setting on an attractive research campus with a very good infrastructure, ideally situated within the city triangle of Cologne, Düsseldorf, and Aachen - World class science environment at the interface between neuroscience and technology on the most complex known systems - Pay in line with 100 % of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund) - Unique HDS-LEE graduate school program - A position in a creative and international team that conducts research at the frontiers of science, themes ranging from computational neuroscience to simulation technology - The Jülich Research Center is one of the largest research centers in Europe, with excellent scientific equipment including the fastest supercomputer in Europe, is located on a green campus, and near the cultural centers Cologne, Düsseldorf, and Aachen/Aix-La-Chapelle - Outstanding scientific and technical infrastructure – ideal conditions for successfully completing a doctoral degree - Excellent scientific equipment including the fastest supercomputer in Europe Forschungszentrum Jülich aims to employ more women in this area and therefore particularly welcomes applications from women. We also welcome applications from disabled persons. Further information on HDS-LEE is available at: www.hds-lee.de<https://www.hds-lee.de/> Become a part of HDS-LEE and apply at [XXX] Apply until: 30th June 2019 Starting date: 1st August 2019 -- Dr. Martina Reske Scientific Coordinator Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany Work +49.2461.611916 Work Cell +49.151.26156918 Fax +49.2461.619460 www.csn.fz-juelich.de<http://www.csn.fz-juelich.de> Office hours: TU & FR 9.00-17, WE & TH 9.00-13 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Kosice Neuroscience Workshop, 3 - 5 June, 2019
by Norbert Kopco May 3, 2019

May 3, 2019

FINAL CALL! The 4th Workshop on */"Cognitive neuroscience of auditory and cross-modal perception"/* 3 - 5 June 2019 Kosice, Slovakia http://pcl.upjs.sk/workshop2019 *Objectives* ·This workshop will include research talks (and introductory lectures) on a range of topics related to the *neural processes of auditory, visual and cross-modal perception*. ·The main focus of this year’s workshop will be on *adaptation, learning and training in spatial perception and cognition*. ·The talks will illustrate the *multidisciplinary character of cognitive neuroscience research*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. ·The workshop targets *early-stage and advanced students and young researchers*. It will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow-up on our previous workshops organized in 2014, 2015 and 2017 <http://pcl.upjs.sk/workshop>. *Format* 1/2-day sessions, including invited talks, contributed talks, and posters, focusing on the topics of *Adaptation*,*Learning and training*, *Auditory and cross-modal perception (general)*, as well *vision and other topics in computational and cognitive neuroscience*. Non-scientific program (outings to tourist destinations near Kosice) will take place on the day before and day after the workshop. Invited talks and talks by ALT consortium (for details click here <https://pcl.upjs.sk/workshop-2019-talks/>): * *Jana Bašnáková, <https://pcl.upjs.sk/workshop-2019-talks#Jana_Basnakova>*Slovak Academy Of Sciences – “ ‘It’s hard to give a good talk’ – the neural correlates of interpreting implicit meaning” <https://pcl.upjs.sk/workshop-2019-talks#Jana_Basnakova> * *Robert Baumgartner,* <https://pcl.upjs.sk/workshop-2019-talks#Robert_Baumgartner>Austrian Academy of Sciences – “Effects of spatial auditory cue realism on selective attention control and future perspectives on studying perceptual learning of these cues across the human lifespan” <https://pcl.upjs.sk/workshop-2019-talks#Robert_Baumgartner> * *Virginia Best, <https://pcl.upjs.sk/workshop-2019-talks#Virginia_Best>*Boston University, USA – “Investigating a visually guided hearing aid” <https://pcl.upjs.sk/workshop-2019-talks#Virginia_Best> * *Lauren Calandruccio, <https://pcl.upjs.sk/workshop-2019-talks#Lauren_Calandruccio>*Case Western Reserve University, USA – “Masked-sentence recognition: the effect of target and masker speech similarity” <https://pcl.upjs.sk/workshop-2019-talks#Lauren_Calandruccio>** * *Inyong Choi, <https://pcl.upjs.sk/workshop-2019-talks#Inyong_Choi>*The University of Iowa, USA – “Adapting to simultaneous electric and acoustic stimulation for word-in-noise recognition in listeners with single-sided deafness” <https://pcl.upjs.sk/workshop-2019-talks#Inyong_Choi> * *John Culling, <https://pcl.upjs.sk/workshop-2019-talks#John_Culling>*Cardiff University, UK – “Speech intelligibility in rooms” <https://pcl.upjs.sk/workshop-2019-talks#John_Culling> * *Erick Gallun, <https://pcl.upjs.sk/workshop-2019-talks#Erick_Gallun>*National Center for Rehabilitative Auditory Research, USA – ”Flipping the laboratory: Clinical research tools for bringing psychoacoustical testing to the patient” <https://pcl.upjs.sk/workshop-2019-talks#Erick_Gallun> * *Andrej Kráľ, <https://pcl.upjs.sk/workshop-2019-talks#Andrej_Kral>*Hannover Medical School, Germany – “Effective Connectivity Between Primary and Secondary Cortical Areas is Shaped by Early Hearing” <https://pcl.upjs.sk/workshop-2019-talks#Andrej_Kral> * *Norbert Kopčo, <https://pcl.upjs.sk/workshop-2019-talks#Norbert_Kopco>*P.J. Šafárik University, Slovakia – “Adaptation to Reverberation in Speech and Distance Perception” <https://pcl.upjs.sk/workshop-2019-talks#Norbert_Kopco> * *Bernhard Laback, <https://pcl.upjs.sk/workshop-2019-talks#Bernhard_Laback>*Austrian Academy of Sciences – “Re-weighting of binaural cues based on visual feedback” <https://pcl.upjs.sk/workshop-2019-talks#Bernhard_Laback> * *Piotr Majdak, <https://pcl.upjs.sk/workshop-2019-talks#Piotr_Majdak>*Austrian Academy of Sciences – “Computational models for listener-specific predictions of spatial audio quality” <https://pcl.upjs.sk/workshop-2019-talks#Piotr_Majdak> * *Petr Maršálek, <https://pcl.upjs.sk/workshop-2019-talks#Petr_Marsalek>*Charles University, Czech Republic – “Just noticeable differences in low frequencies below 500 Hz, loudness, localization; model and psychophysics” <https://pcl.upjs.sk/workshop-2019-talks#Petr_Marsalek> * *Catarina Mendonca, <https://pcl.upjs.sk/workshop-2019-talks#Catarina_Mendonca>*University of Azores, Portugal – “Changes in auditory space following audiovisual experience” <https://pcl.upjs.sk/workshop-2019-talks#Catarina_Mendonca> * *Josefa Oberem, <https://pcl.upjs.sk/workshop-2019-talks#Josefa_Oberem>*RWTH Aachen University, Germany – “Examining auditory selective attention in complex acoustic environments” <https://pcl.upjs.sk/workshop-2019-talks#Josefa_Oberem> * *John van Opstal, <https://pcl.upjs.sk/workshop-2019-talks#John_Van>*Radboud University, Netherlands – “Perceived Target Range Shapes Human Sound-Localisation Behaviour” <https://pcl.upjs.sk/workshop-2019-talks#John_Van> * *Nelli Salminen, <https://pcl.upjs.sk/workshop-2019-talks#Nelli_Salminen>*Aalto University, Finland – “Neural correlates of human spatial hearing measured with EEG and MEG” <https://pcl.upjs.sk/workshop-2019-talks#Nelli_Salminen> * *Dan Sanes, <https://pcl.upjs.sk/workshop-2019-talks#Dan_Sanes>*New York University, USA – “Learning and attention enhance cortex neuron sensitivity during auditory task performance” <https://pcl.upjs.sk/workshop-2019-talks#Dan_Sanes> * *Aaron Seitz, <https://pcl.upjs.sk/workshop-2019-talks#Aaron_Seitz>*University of California, USA – “Gamifying Perceptual Learning” <https://pcl.upjs.sk/workshop-2019-talks#Aaron_Seitz> * *Filip Smolík, <https://pcl.upjs.sk/workshop-2019-talks#Filip_Smolik>*Academy of Sciences of the Czech Republic – “Adaptation and learning in early language acquisition” <https://pcl.upjs.sk/workshop-2019-talks#Filip_Smolik> * *Brigitta Tóth, <https://pcl.upjs.sk/workshop-2019-talks#Brigitta_Toth>*Hungarian Academy of Sciences – “Top-down and bottom-up attention bias on change detection in auditory foreground and background” <https://pcl.upjs.sk/workshop-2019-talks#Brigitta_Toth> * *Beverly Wright, <https://pcl.upjs.sk/workshop-2019-talks#Bev_Wright>*Northwestern University, USA – “Auditory perceptual learning” <https://pcl.upjs.sk/workshop-2019-talks#Bev_Wright> *Venue* Lecture hall 2.17T,Faculty of Science / Technicom building, P. J. Šafárik University, Jesenná 5, 04001 Košice Slovakia <https://goo.gl/maps/6m3GC3iJNeA2>. *Organizers* Norbert Kopčo, P. J. Šafárik University in Košice <https://pcl.upjs.sk/noro/> Erick Gallun, National Center for Rehabilitative Auditory Research, Portland and OHSU <http://www.ncrar.research.va.gov/AboutUs/Staff/gallun.asp>Piotr Majdak, Austrian Academy of Science, Vienna <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=56:…> Aaron Seitz, University of California, Riverside <http://faculty.ucr.edu/%7Easeitz/> *Travel, accommodation, visitor information* see workshop webpage: http://pcl.upjs.sk/workshop2019/ *Registration* The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro(a)gmail.com stating your name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than *May 15, 2019*. This workshop is supported by theEU H2020-MSCA-RISE-2015 project #691229 <http://pcl.upjs.sk/grants/alt/>.

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Neural Modeling Postdoc Position At Emory University, Atlanta
by Jaeger, Dieter May 2, 2019

May 2, 2019

A postdoctoral position is available for working in an NIH BRAIN initiative funded project on the role of the basal ganglia in motor decision making in behaving mice. The project aims to elucidate how subcortical structures feed back onto and influence cortical processing. The open position with a start date of Sept. 1, 2019 will involve biophysically detailed modeling of basal ganglia – thalamo-cortical interactions in the Jaeger lab at Emory University in Atlanta https://scholarblogs.emory.edu/jaegerlab/. An ongoing interaction with experimentalists is an important component of the project. Emory University presents a strong training environment in computational and systems neuroscience (e.g. http://livingtheory.emory.edu/ and http://biomed.emory.edu/PROGRAM_SITES/NS/research/computational-neuroscienc… ). The successful candidate needs previous computational modeling experience using the NEURON software and a strong background in the biophysics of neurons. Pay is according to the posted NIH NRSA schedule https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-036.html. If interested & qualified, please contact djaeger@emory. NOT-OD-19-036: Ruth L. Kirschstein National Research Service Award (NRSA) Stipends, Tuition/Fees and Other Budgetary Levels Effective for Fiscal Year 2019 - grants.nih.gov<https://grants.nih.gov/grants/guide/notice-files/NOT-OD-19-036.html> grants.nih.gov NIH Funding Opportunities and Notices in the NIH Guide for Grants and Contracts: Ruth L. Kirschstein National Research Service Award (NRSA) Stipends, Tuition/Fees and Other Budgetary Levels Effective for Fiscal Year 2019 NOT-OD-19-036. NIH Theory and Modeling of Living Systems<http://livingtheory.emory.edu/> livingtheory.emory.edu Welcome to the Theory and Modeling of Living Systems Initiative. The Theory and Modeling of Living Systems Initiative seeks to cultivate and expand research that builds theoretical frameworks for understanding living systems. Jaeger Lab at Emory – Systems Electrophysiology, Imagery and Computational Neuroscience - Emory University<https://scholarblogs.emory.edu/jaegerlab> scholarblogs.emory.edu Welcome to the Jaeger lab, Rollins Research Center, Department of Biology, Emory University, Atlanta, GA, U.S. Experimental and Computational Neurophysiology of Motor control under normal and pathological condition. Computational Neuroscience| GDBBS | Emory University<http://biomed.emory.edu/PROGRAM_SITES/NS/research/computational-neuroscienc…> biomed.emory.edu This area of research encompasses a diverse set of approaches in which mathematical or computational tools are used to better understand the nervous system. ________________________________ 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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Two Funded Postdoctoral Positions in Parkinson’s Disease Research and Intervention
by Yasser Iturria Medina May 2, 2019

May 2, 2019

*Two Postdoctoral Fellows in Computational modeling and Precision Medicine applied to Parkinson’s Disease* We are looking for two highly motivated postdoctoral fellows, for joining the Neuroinformatics for Personalized Medicine lab (NeuroPM) at the Montreal Neurological Institute (McGill University, Montreal, Canada). The postdoctoral fellows will be under the supervision of Professor Yasser Iturria-Medina, and will be expected to collaborate with associated groups (e.g. Integrative Neuroscience Centre, Madrid, Spain). The projects, for 1.5 years and potentially extendable for another year, includes the analysis of multiple imaging modalities and therapeutic interventions in Parkinson’s disease, as well as the application of state-of-the-art brain computational models. The NeuroPM lab (http://www.neuropm-lab.com/) is affiliated with the Healthy brain for Healthy Lives (HBHL) initiative ( 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. Interested candidates should have a solid background in brain imaging and neurodegeneration. Experience in brain computational modeling will be an asset. Interested persons should send their CV, a cover letter stating research interests, and two reference letters. The fellows are expected to start as soon as possible. Salary: 45,000CAN$/year+25% in benefits. Contact: Yasser Iturria Medina, Email: iturria.medina(a)gmail.com -- 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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A revised electromagnetic theory of the brain
by Patirniche, Dinu May 2, 2019

May 2, 2019

Dear Colleagues, A common dogma of neuroscience is that all electrical events occurring in the brain are well described by an electrostatic theory. However, adopting a geometric attitude it becomes immediately clear that the propagation of an action potential induced a non-conservative electric field within nearby spines, and thus an electromagnetic description of the function of a brain is unavoidable. I would like to present to you with a revised and simplified version of the theory I advanced last year, entitled "Dynamic Aspects of Finite Architectures". The current work can be accessed here: doi.org/10.13140/RG.2.2.20738.73925 . Best, Dinu Patirniche.

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NeuroBridges 2019 School Announcement
by Ahmed El Hady May 1, 2019

May 1, 2019

*/NeuroBridges 2019 Summer school , Cluny, France/* */( September 8th - September 19th, 2019)/* I would like to bring to your attention the *NeuroBridges 2019 Computational Neuroscience School*. <http://decision-making-lab.com/NeuroBridges/neurobridges2019.html> NeuroBridges <https://www.facebook.com/NeuroBridges/>is a one-of-a-kind series of scientific meetings in brain research, which brings together Mediterranean and Middle Eastern scientists, in order to promote international scientific cooperation in system and computational neuroscience. A major goal of this school is to serve as a bridge between experimental and theoretical neuroscientists, addressing system-level questions. This year the school will primarily focus on the neural basis and computational principles underlying sensory- motor tasks, in which the agent chooses from a small number of actions based on sensory and operant cues. *The forthcoming NeuroBridges 2019* will be a ten-day summer school. Students will attend lectures delivered by a group of leading neuroscientists, experimentalists as well as theoreticians, which will address the fundamental questions in the field of decision making. In addition to the lectures, the students will work in groups on small research projects. The school is intended for graduate students and postdocs, primarily (but not only) from the Middle East and the Mediterranean region either working in their home countries or abroad. We will consider applicants with some background in related fields in neuroscience or cognitive psychology. Through the online application system, you will be asked to provide personal details, academic background, a motivation letter that should include a paragraph about your quantitative skills and a CV. In addition, we request two recommendation letters. The school will take place between *September 8 and September 19, 2019* in Le Centre de Conferences Internationales de Cluny (CCIC) <http://www.ccic.eu/index.html>. Cluny is a small medieval town in Burgundy, France, located about 400km southeast of Paris (accessible by fast train, TGV). All costs of registration and accommodation will be covered by the organizers. A limited number of travel grants will also be available. *NeuroBridges* is co-organized by Ahmed El Hady <http://scholar.princeton.edu/ahmedelhady/home> (Princeton Neuroscience Institute, USA), Yonatan Loewenstein <http://elsc.huji.ac.il/loewenstein/home>(Hebrew University of Jerusalem, Israel) and David Hansel <https://neurophys.biomedicale.parisdescartes.fr/members/david-hansel/> (CNRS, Paris, France). Review of applications will end in May 2019. *2019 Faculty:* Merav Ahissar (Hebrew U.) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Athena Akrami (UCL) <https://elsc.huji.ac.il/index.php?q=ahissar/home> Rafal Bogacz (Oxford) <https://www.ndcn.ox.ac.uk/team/rafal-bogacz> Thomas Boraud (CNRS) <http://www.inb.u-bordeaux2.fr/dev/EN/researcher.php?researcher=Thomas+Borau…> Mathew Diamond (SISSA) <https://phdcns.sissa.it/faculty/mathew-diamond> Ido Erev (Technion) <https://web.iem.technion.ac.il/en/people/userprofile/erev.html> Mehdi Khamassi (CNRS) <https://www.researchgate.net/profile/Mehdi_Khamassi> Najib Majaj (NYU) <https://www.researchgate.net/profile/Najib_Majaj> The deadline for application is *April 30th, 2019 *and the following is the website including the link for the online application: http://decision-making-lab.com/NeuroBridges/neurobridges2019.html <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> <http://decision-making-lab.com/NeuroBridges/neurobridges2018.html> For more information, please contactneurobridges2019(a)gmail.com <mailto:neurobridges2018@gmail.com>.

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postdoctoral position in computational neuroscience/mathematical biology
by Rubchinsky, Leonid L May 1, 2019

May 1, 2019

NSF-supported postdoctoral position in mathematical biology/computational neuroscience in my group in the Department of Mathematical Sciences at Indiana University-Purdue University Indianapolis (IUPUI). This position involves research in the mechanisms and properties of intermittent synchronization in neural and other living systems including collaboration with experimentalists. The position offers excellent interdisciplinary training possibilities in computational neuroscience and mathematical biology. Applicants should have (or expected to get in a near future) Ph.D. in mathematics, physics, neuroscience, biomedical engineering, computer science, or another related field. Applicants should have strong quantitative skills, some experience in dynamical modeling and data analysis, and a strong interest in life sciences applications. Experience in nonlinear dynamics, computational neuroscience, and mathematical biology is a plus. Please apply via mathjobs.org at https://www.mathjobs.org/jobs/jobs/13879. Screening of applications will continue until position is filled. Please address informal inquires to Leonid Rubchinsky via e-mail: lrubchin(a)iupui.edu Leonid *********************** Leonid Rubchinsky, PhD Associate Professor Department of Mathematical Sciences, Indiana University - Purdue University, Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin 317-274-9745 317-274-3460 (fax) ***********************

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CORRECTION: US Air Force Young Investigator Research Program (YIP)
by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA May 1, 2019

May 1, 2019

Announcement corrected below to note that doctorates must have been received NO EARLIER than April 1, 2012 (i.e., within the past 6 years, 11 months). --- The Air Force's annual Young Investigator Research Program (YIP) is an excellent way for new principal investigators in the US to accelerate their careers in basic research with three years of funding at up to $150,000 per year. Each year, every AFOSR portfolio can nominate one YIP recipient. Especially since the Cognitive & Computational Neuroscience portfolio is new this year, I wanted to make the neuroscience community aware of this opportunity (and also of the new portfolio). Unlike most of AFOSR's research grants that are open to researchers worldwide, YIP awards are limited to US persons (citizens, nationals, or permanent residents) with full-time, permanent positions at US institutions (by Oct. 1, 2019) who received their doctorates NO EARLIER than April 1, 2012. The application deadline for Fiscal Year 2020 awards is June 3, 2019. Program Description: The Air Force YIP supports scientists and engineers who have received Ph.D. or equivalent degrees within the last seven years and show exceptional ability and promise for conducting basic research. The objectives of this program are: 1. to foster creative basic research in science and engineering; 2. enhance early career development of outstanding young investigators; 3. and increase opportunities for the young investigator to recognize the Air Force mission and related challenges in science and engineering. Eligibility: Individual awards are made to U.S. institutions of higher education, industrial laboratories, or non-profit research organizations where the principal investigator (PI) is employed on a full-time basis and holds a regular position. YIP PIs must be a U.S. citizen, national, or permanent resident. Researchers working at a Federally Funded Research and Development Center or DoD Laboratory are not eligible for this competition. Research proposals must address Research Interests of the Air Force Office of Scientific Research, FA9550-19-S-0003, found at https://www.grants.gov/web/grants/view-opportunity.html?oppId=314753. Most YIP awards are funded up to $150,000 per year for three years, for a total of $450,000. Exceptional proposals will be considered individually for higher funding levels and/or longer duration. For more information about this funding opportunity, please see https://www.grants.gov/web/grants/view-opportunity.html?oppId=313523. Questions about YIP may be sent to afosryip(a)us.af.mil <mailto:afosryip@us.af.mil> . Sincerely, Hal Greenwald Hal S. Greenwald, Ph.D. Program Officer, Cognitive & Computational Neuroscience Air Force Office of Scientific Research (AFOSR/RTA) 875 N. Randolph St. Arlington, VA 22203-1768 (703) 588-8441

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Fully Funded PhD position: Machine learning for studying structural and functional connectivity of the brain, Trento (Italy)
by Emanuele Olivetti April 30, 2019

April 30, 2019

Applications are invited for a fully-funded 4-years Ph.D. scholarship at the NeuroInformatics Laboratory (NILab), Italy. NILab is a joint collaboration between Fondazione Bruno Kessler ( https://www.fbk.eu/en/about-fbk/) and the Center of Mind and Brain Sciences (https://www.cimec.unitn.it/en/14/the-center) within the University of Trento, Italy. Title: Machine learning for studying structural and functional connectivity of the brain Topics: machine learning, brain connectivity, diffusion MRI, Magnetoencephalography (MEG), longitudinal studies and human cognition Description: Neuroimaging methods, like sMRI, dMRI, fMRI and MEG/EEG can be used to investigate the anatomical and functional connectivity of the brain. This project will enable the candidate to pursue research on machine learning methods for such neuroimaging data for brain connectivity, with applications to longitudinal studies and to human cognition. The ideal candidate should have a mixed background both in cognitive neuroscience and numerate disciplines, like computer science, engineering, physics or mathematics. This project is in collaboration with the Division of Neurosurgery, S. Chiara Hospital, Trento and with the MEG Lab of CIMeC/LNiF, University of Trento. Please contact in advance: Emanuele Olivetti, olivetti(a)fbk.eu Deadline: May 21, 2019 Online application details below. Corresponding research area in the online application: NEUROIMAGING METHODS AND ANALYSIS Topic-Specific Grant: "4. Machine learning for studying structural and functional connectivity of the brain." ---------------------------------------------------------- From: PhD CIMeC <phd.cimec(a)unitn.it> Subject: [CIMeC-FYI] Call for 17 funded PhD positions NOW OPEN @ CIMeC, UNITrento. Italy Dear CIMeC Supporters, We are pleased to announce the opening of our annual call for *17 PhD fellowships* for the international Doctorate in Cognitive and Brain Sciences (CIMeC), commencing November 2019 at the University of Trento, Italy. As you will see from the links below, the call is open to several fields of cognitive neuroscience research. Interested candidates should contact the Principle Investigators who proposed topics of interest to them. - *Admissions*: http://www.unitn.it/drcimec/admission - Proposed 2019 PhD research topics: http://www.unitn.it/drcimec/research-topics - PhD Application *summary*: *https://www.unitn.it/drcimec/116/admission-doctorate-cognitive-and-brain-sciences <https://www.unitn.it/drcimec/116/admission-doctorate-cognitive-and-brain-sc…>* - PhD *Application *link: https://webapps.unitn.it/Apply/en/MyUnitn/Home/669/dott/cbs35 - PhD Application *Deadline*:* Thursday May 21, 2019, at 4pm (Italian time)* - *CIMeC*: http://www.unitn.it/cimec This year’s research topics proposed by the Doctoral Program Committee for 5 UNITN grants are visible here: http://www.unitn.it/drcimec/research-topics, while the 12 topic-specific grants’ details can be found here: http://www.unitn.it/drcimec/topic-specific-grants *The CIMeC, it’s doctoral program and UNITN in numbers:* - UNITrento ranks among top Italian Universities https://www.unitn.it/en/ateneo/1636/rankings - *4-yr program* (Nov. 1, 2019- Oct. 31, 2023). - Why a 4-yr program <http://www.unitn.it/drcimec/node/117> - Courses are in English - 17 positions, 100% funded - Salary: starting at approximately €1.200/mo., net - Winners receive a €4887 tax-free research/mobility budget - Why choose UNITRENTO <http://www.unitn.it/en/ateneo/1629/why-choose-the-university-of-trento> Please feel free to browse the FAQ <http://www.unitn.it/drcimec/node/122> pages on our website for further information, or contact the Head of the Programme, Prof. Yuri Bozzi phd.cimec(a)unitn.it. Regards, Leah Mercanti -- Leah Mercanti CIMeC PhD Program Administrator -------------------------------------------------------- CIMeC - Center for Mind/Brain Sciences University of Trento Corso Bettini, 31 I-38068, Rovereto (TN) Tel: +39 0464 80 8617 Fax: +39 0461 28 8690 Skypename: lleahhatwork Email: phd.cimec(a)unitn.it http://www.unitn.it/drcimec/ -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Call for SIG and WG meetings in Warsaw, before INCF's Neuroinformatics 2019. Deadline June 1.
by Malin Sandström April 30, 2019

April 30, 2019

Dear all, INCF is calling for community proposals for Special Interest Group (SIG) and Working Group (WG) meetings to be held in Warsaw on 31 August 2019, the day before the INCF Assembly. The call is open both to new and existing INCF SIGs/WGs. *Deadline is June 1st.* INCF is working to make neuroscience more FAIR (Findable, Accessible, interoperable, Reusable), by promoting the creation and uptake of standards and best practices in neuroscience, as applied to tools and infrastructure, and by running a community endorsement process for new and existing standards and best practices. SIGs have an important role in this process, as community-initiated groups where users and developers can meet to align interests, set up working groups and work collaboratively to develop, refine, and implement new community standards and best practices to be proposed for endorsement. The SIGs also serve as the focus for getting agreement and community buy-in on the use of these standards and best practices. SIG meetings in Warsaw should aim to: - investigate the possibility to establish new SIGs (possible activities include: survey for possible members and group activities, draft a plan of activities from community input) - update community members on SIG activities and progress since last year (existing SIGs), invite community input - form Working Groups (possible activities include: general meeting, set deliverables (develop new or extend existing standards and best practices), work on an application for INCF Working Group funding WG meetings in Warsaw should aim to: - update community members on SIG activities and progress since last year (existing WGs), - invite community input, - solicit new members INCF will support both SIGs and Working Groups with meeting logistics at INCF-associated meetings during the upcoming year, as well as offer funding for Working Group activities. Please submit your proposals for SIG and WG meeting themes no later than *June 1st*. Note that the submitter is assumed to also be the meeting leader, unless otherwise stated. Any questions can be directed to Malin Sandström, malin(a)incf.org Call page: https://www.incf.org/activities/standards-and-best-practices/incf-special-i… INCF SIG pages: https://www.incf.org/activities/standards-and-best-practices/incf-special-i… Best regards, Malin -- Malin Sandström, PhD Community Engagement Officer malin.sandstrom(a)incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels väg 15 A SE-171 77 Stockholm Sweden http://www.incf.org

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Web Site Moved
by Jim Perlewitz April 30, 2019

April 30, 2019

”Computational Neuroscience on the Web” has moved. Please update bookmarks / links. It can now be found here: https://compneuroweb.com <https://compneuroweb.com/> For 20 years, the site has been providing links to CNS researchers, modeling and analysis software, web accessible data and models, mailing lists, conferences, workshops, courses and more, Do give it a look. Please send suggestions. Best regards, Jim

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Registration open for the UK Neural Computation 2019 meeting
by Mark Humphries April 29, 2019

April 29, 2019

We are delighted to announce that registration is open for the UK Neural Computation 2019 meeting! The main meeting will be 2nd-3rd July 2019, at the University of Nottingham. Invited speakers: Athena Akrami / Andy Barron / Tim Behrens / Claudia Clopath / Matthias Hennig / Simon Laughlin / Rosalyn Moran / Cian O'Donnell / Chris Summerfield / Tim Vogels / Barbara Webb Please register here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/registration Deadline: June 21st 2019 We are offering a limited number of registrations (25) for early-career researcher workshops preceding the meeting, on Monday July 1st. Please see the Programme for full details at https://drmdhumphries.wixsite.com/ukneuralcomp2019 Abstract submission is still open here: https://drmdhumphries.wixsite.com/ukneuralcomp2019/abstracts Abstract submission closes: May 10th Decisions: May 24th Kind regards Mark Humphries (Chair) Hannes Saal, Robert Schmidt, and Stuart Wilson (Organising committee) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Workshop in Copenhagen, May 23rd-25th 2019
by Henrik Anders Lindén April 28, 2019

April 28, 2019

Dear colleagues, We are organising a somewhat unusual workshop this coming May where we still have some seats left. The purpose of the workshop is to gather leading neuroscientists to discuss how a fundamental brain theory could be formulated. Each participating speaker has been given as homework to prepare a talk describing their view on such a theory, and to speculate on aspects where they don’t yet have the answers. The workshop will be a “real” workshop the sense that the invited speakers will work together on formulating a theory, and spend most of the time on discussions. The workshop is the second in a series, where the outcome of the first workshop (held in September 2016) was published in a Neuron issue published in June 2017: https://www.cell.com/neuron/issue?pii=S0896-6273(16)X0012-8 The confirmed speakers are: - Adrienne Fairhall, Univ. Washington, Seattle, USA - Alexa Riehle, CNRS, Marseille, France - Bing Brunton, Univ. Washington, Seattle, USA - Gyorgy Buzsaki, NYU, New York, USA - Haime Hirase, RIKEN, Wako,Japan - Jack Cowan, Univ. Chicago, Chicago, USA - Peter Dayan, MPI, Tübingen, Germany - Richard Morris, Univ. Edinburgh, Edinburgh, UK - Sara Solla, Northwestern Univ., Chicago, USA - Sophie Denève, ENS, Paris, France - Terry Sejnowski, Salk Institute, San Diego, USA - Wulfram Gerstner, EPFL, Lausanne, Switzerland - Yiota Poirazi, IMBB-FORTH, Heraklion-Crete, Greece - Zhaoping Li, MPI, Tübingen, Germany. Time: May 23rd-25th 2019, between 9-17 each day Place: The Carlsberg Academy, Copenhagen, Denmark. Information about the venue can be found here: https://www.carlsbergfondet.dk/en/About-the-Foundation/The-Carlsberg-Founda…<https://www.carlsbergfondet.dk/en/About-the-Foundation/The-Carlsberg-Founda…'s-home/The-Carlsberg-Academy> Registration: Attendance is free of charge but registration is required. (Note also that to be able to keep the registration free of charge no meals are included during the workshop.) Please register here: https://in.ku.dk/forms/how_brains_work/ See also the workshop homepage: https://in.ku.dk/seminars-and-events/workshop-developing-a-theory-on-how-br… Workshop steering board: Sophie Denève, John Hertz, Richard Morris, Maiken Nedergaard, Henrik Lindén and Per Roland On behalf of the steering board of the Copenhagen Initiative, Henrik Lindén and Per Roland (University of Copenhagen, Denmark) -- Henrik Lindén, PhD Assistant professor (adjunkt), University of Copenhagen Department of Neuroscience Blegdamsvej 3 DK-2200 Copenhagen N email: hlinden(a)sund.ku.dk<mailto:hlinden@sund.ku.dk> web: http://lindenh.wordpress.com

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Staff scientist position in the Section on Neurobiology of Fear and Anxiety, NIMH/NIH
by Ryan Philips April 27, 2019

April 27, 2019

The National Institute of Mental Health (NIMH), a major research component of the National Institutes of Health (NIH), and the Department of Health and Human Services (DHHS), is seeking exceptional candidates for a Staff Scientist position in the Intramural Research Program (IRP), Section on Neurobiology of Fear & Anxiety. This section examines neural systems models of emotion/cognition interactions. This is done in two ways: one that focuses on anxiety in health and disease, and the other that uses a developmental perspective using large datasets. Four types of data are exploited, clinical/behavioral assessment, psychophysiology, fMRI (particularly 7T high-resolution scanner) and MEG. The candidate must have a doctoral degree (PhD) in computational neuroscience, or computer science/engineering and at least 5 years of experience post Ph.D. analyzing large datasets, modeling complex neural systems, using advanced machine learning algorithms. Experience with technical computing in MATLAB, R, C++ and a strong mathematical skill set is required. Knowledge of multi threaded and paralell computing environments is desirable. An interest in neuroscience or prior experience in neuroscience related fields is a plus. The staff scientist is expected to be a key member of the Section on Neurobiology of Fear and Anxiety, contributing to analytical methodology, design of new projects. Salary will be commensurate with education and experience. Applicants should send curriculum vitae and two letters of recommendation to Monique Ernst, MD, PhD, 301-675-4525, ernstm(a)mail.nih.gov. Applications will be accepted beginning April 1st. The position will be open until filled. HHS and NIH are Equal Opportunity Employers. Applications from women, minorities and persons with disabilities are strongly encouraged.

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PhD position in computational neuroscience at IIT - deadline May 15th
by Stefano Panzeri April 27, 2019

April 27, 2019

*Fully funded PhD Position at IIT - Computational approaches to study the neural code* I am are seeking candidates for a fully funded PhD position at the Italian Institute of Technology’s in the lab directed by Stefano Panzeri ( https://www.iit.it/people/stefano-panzeri ). IIT collaborates with University of Bologna and finances the positions at the PhD course in Data Science and Computation. Although formally enrolled at the University of Bologna, the successful candidate will have the opportunity to conduct research either at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). The PhD project can focus on any of the research topics about neural information processing that are of interest to both the candidate and my lab, including: developing mathematical analysis methods and neural network models for studying large scale neural population coding during cognitive tasks, for studying the neural bases of sensory perception and decision making, for linking functional to anatomical connectivity with cellular resolution at the neural population level, and for determining the best theoretical framework to combine recording of neural activity (calcium imaging, electrophysiology, EEG) and intervention on it (optogenetics, TMS). My computational neuroscience lab has developed long-term collaboration with many experimental laboratories including Christopher Harvey and Wei Lee (Harvard Medical School), Nikos Logothetis (Tuebingen), Tommaso Fellin (IIT), Mathew Diamond and Davide Zoccolan (SISSA), Alex Thiele (Newcastle), Cristina Becchio (IIT) and others. The PhD project will likely involve collaborations with one or more experimental lab. For recent representative publications please see: van Vugt B, et al, (2018) Science: in press. DOI: 10.1126/science.aar7186 Zaldivar, D., et al, (2018) Current Biology 28: 224-235 Runyan C. A., et al (2017) Nature: 548: 92-96 Panzeri, S, et al (2017) Neuron 93: 491-507 Safaai, H. et al (2015) Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Fasoli, D. et al (2016) PLoS Computational Biology, 12(8): e1004992. Panzeri, S., et al (2015) Trends in Cognitive Sciences 19: 162-172 Einevoll, G., et al (2013) Nature Reviews Neuroscience, 14, 770-785 The ideal candidate should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. The deadline for the formal application is set to *May 15thst 2019*, but interested candidates are invited me to contact me informally by email ( stefano.panzeri(a)iit.it) *as soon as possible,* and no later than May 8th 2019, by attaching their CV and briefly explaining their interest in this position, to initiate discussion about potential PhD projects of interest. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Università degli Studi di Bologna ( https://www.unibo.it/en/teaching/phd/2019-2020/data-science-and-computation) The PhD position available for projects under my supervision is one of those financed by IIT. Candidates that are wishing to apply will be able to rely on my advice and feedback to understand how to complete the application. Yours truly, Stefano Panzeri

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postdocship on computational modeling of reading
by Meeter, M. April 27, 2019

April 27, 2019

Postdoctoral fellowship: Computational modeling of reading Right now you are reading. It does not cost you much effort because it is a highly automated process, but you are simultaneously decoding letters, moving visual attention, programming eye movements, recognizing words, stringing them together in a coherent syntactic and semantic representation, and adducing the intentions of the writer. We understand these individual processes in reading, but not how our brain can perform them simultaneously at the phenomenal speed of about 200 ms per word. Recently, a group of researchers in Marseille and Amsterdam has collaborated on the ambitious goal to create one computational model that describes all processes involved in reading, from the single letter up to understanding a sentence. Within this collaboration, there is an opening for a two-year postdoctoral fellowship to work on computational modelling. The candidate will work on extending the already published OB-1 model (Psychological Review<https://research.vu.nl/en/publications/ob1-reader-a-model-of-word-recogniti…>, 2018). While the exact direction taken may depend on the interests of the candidate, this will include improving word recognition processes and accounting for EEG responses recorded during reading. Practicalities The postdoc will work in Amsterdam in the group of Martijn Meeter, but also be expected to regularly visit the Marseille group of Jonathan Grainger. The two-year position is potentially renewable for a third year. Official employer will be Université Aix-Marseille, including a one-year trial period. A postdoc salary in France is about €2606 a month; travel costs will be covered. Starting date is preferably 1 September 2019, but other dates can be discussed. Required skills are: * Experience with computational modelling * Good to excellent programming skills, notably in Python * An interest in language as field of research The positions are part of an ERC grant to Jonathan Grainger. More information can be requested at i.jonathan.grainger(a)gmail.com<mailto:i.jonathan.grainger@gmail.com> or m(a)meeter.nl<mailto:m@meeter.nl>. To apply, please send an email before 1 June with as title “Postdoc computational model”to m(a)meeter.nl<mailto:m@meeter.nl> , with as attachments: * a letter of application, * your resume * names of two references (will only be contacted with your permission), Best, Martijn Meeter ------------------------------- Prof. dr. M. Meeter Vrije Universiteit Amsterdam Dept. of Education Science http://www.meeter.nl/m<https://webmail.login.vu.nl/OWA/redir.aspx?SURL=l3I3NtaZYJte9nu-0v--nYrWbGa…> --------------------------------

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US Air Force Young Investigator Research Program (YIP)
by GREENWALD, HAL S DR-04 USAF AFMC AFOSR/RTA April 26, 2019

April 26, 2019

The Air Force's annual Young Investigator Research Program (YIP) is an excellent way for new principal investigators in the US to accelerate their careers in basic research with three years of funding at up to $150,000 per year. Each year, every AFOSR portfolio can nominate one YIP awardee. Especially since the Cognitive & Computational Neuroscience portfolio is new this year, I wanted to make the neuroscience community aware of this opportunity (and also of the new portfolio). Unlike most of AFOSR's research grants that are open to researchers worldwide, YIP awards are limited to US persons (citizens, nationals, or permanent residents) with full-time, permanent positions at US institutions who received their doctorates no later than April 1, 2012. The application deadline for Fiscal Year 2020 awards is June 3, 2019. Program Description: The Air Force YIP supports scientists and engineers who have received Ph.D. or equivalent degrees within the last seven years and show exceptional ability and promise for conducting basic research. The objectives of this program are: 1. to foster creative basic research in science and engineering; 2. enhance early career development of outstanding young investigators; 3. and increase opportunities for the young investigator to recognize the Air Force mission and related challenges in science and engineering. Eligibility: Individual awards are made to U.S. institutions of higher education, industrial laboratories, or non-profit research organizations where the principal investigator (PI) is employed on a full-time basis and holds a regular position. YIP PIs must be a U.S. citizen, national, or permanent resident. Researchers working at a Federally Funded Research and Development Center or DoD Laboratory are not eligible for this competition. Research proposals must address Research Interests of the Air Force Office of Scientific Research, FA9550-19-S-0003, found at https://www.grants.gov/web/grants/view-opportunity.html?oppId=314753. Most YIP awards are funded up to $150,000 per year for three years, for a total of $450,000. Exceptional proposals will be considered individually for higher funding levels and/or longer duration. For more information about this funding opportunity, please see https://www.grants.gov/web/grants/view-opportunity.html?oppId=313523. Questions about YIP may be sent to afosryip(a)us.af.mil <mailto:afosryip@us.af.mil> . Sincerely, Hal Greenwald Hal S. Greenwald, Ph.D. Program Officer, Cognitive & Computational Neuroscience Air Force Office of Scientific Research (AFOSR/RTA) 875 N. Randolph St. Arlington, VA 22203-1768 (703) 588-8441

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque April 24, 2019

April 24, 2019

Positions for Postdoctoral Researchers The Research, Innovation and Dissemination Center for Neuromathematics ( NeuroMat <https://neuromat.numec.prp.usp.br/>), hosted by the University of Sao Paulo, Brazil, and funded by the Sao Paulo Research Foundation (FAPESP <http://www.fapesp.br/en/>), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat. The research to be developed by the postdoc fellows shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP Sao Paulo, USP Ribeirao Preto or Unicamp. We seek candidates capable to develop independent research in one of the research lines below. 1. Stochastic and/or computational modeling of the brain functioning. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Biomedical devices for neuroscience research. Candidates to the first research line are required to have at least one of the profiles below: · A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered. · A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: · A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. · A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. Candidates to the third research line are required to have at least one of the profiles below: · A strong background in electromagnetism and biomedical engineering. Previous knowledge of transcranial magnetic stimulation or magnetic/electric field simulation will be favorably considered. · A strong background in computer science and control software development expertise. Previous experience with neuroscience and neuronavigation systems will be favorably considered. Previous experience with multidisciplinary research teams is welcome for all the above research lines. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions Applicants should complete and submit the application form <https://neuromat.numec.prp.usp.br/postdoc/new>. The following documents and information are requested (please see the form for further details): · Summary of the CV, in the FAPESP format (see www.fapesp.br/en/6351 for instructions.) · List of publications, with links to those available online. · A summary of the research plan for the next year, up to 5 pages length. It should explicitly state for which of the three above profiles the candidate is applying. It should also address its place within the framework of the NeuroMat research program <https://neuromat.numec.prp.usp.br/scientific-project>. · Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. · Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Candidates are encouraged to apply at their earliest convenience until June 3rd, 2019. Appointments are expected to start by September 1st, 2019. The initial period of the position lasts for 12 months, with possible renovations for up to four years. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Post-Doctoral fellowships in the amount of BRL 7,372.40 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship, which should be spent in items directly related to the research activity. More information about the fellowship is at: www.fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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Post-doc @ Univ of Toronto: bioinformatics, neuron modeling, and machine learning
by Shreejoy Tripathy April 24, 2019

April 24, 2019

Post-doctoral fellowship in multi-scale bioinformatics and neuroscience – Tripathy laboratory, CAMH, University of Toronto Job Description: We are looking for a post-doctoral fellow with a background in bioinformatics, computational biology, or neuroinformatics. The position is in the Laboratory for Computational Genomics, under the supervision of Dr. Shreejoy Tripathy (https://triplab.org/) . The post-doc will contribute to a growing team at the new Krembil Centre for Neuroinformatics, based at CAMH and the University of Toronto. Project Description: The candidate will lead a multi-disciplinary dry-lab project in multi-omics and cellular neuroscience. The project’s goal is to identify cross-modal relationships between: 1) human genotypes; 2) tissue- and cell type-specific gene expression; and 3) neuronal and circuit phenotypes, including electrophysiology, morphology, and synaptic physiology. The candidate will develop and apply machine learning and statistical methods to translate information across these data types. The project will make use of publicly-accessible datasets (e.g., PGC, PsychEncode, Allen Institute) as well as private datasets provided by collaborators. The post-doc will interface with a team of experimentalists and computational modelers to directly test their predictions and work with clinician-scientists to use these approaches for patient stratification. The ideal candidate is someone who is passionate about using basic research in genomics and neuroscience to improve the understanding and treatment of psychiatric disorders. Position details: The position is for a duration of up to 3 years, renewed yearly. Compensation, including benefits, is competitive and will be based on experience and established pay-scales. The candidate will support a healthy workplace that embraces diversity, encourages teamwork, and complies with all applicable and regulatory requirements. Qualifications: A recent PhD in bioinformatics, neuroscience, or statistics (or equivalent computational discipline) Considerable experience programming, scripting, and analyzing data in a high-level language (e.g., R, Python, or MATLAB) Experience analyzing and quality-controlling multi-omics datasets, including genotyping, transcriptomics, and cellular characteristics A track record for independent research that demonstrates creativity Excellent communication skills and experience working in a collaborative and multi-disciplinary environment How to apply: A complete application should include a brief cover letter, a curriculum vitae, and the contact information for 2-3 references. Submit applications to Shreejoy Tripathy (shreejoy.tripathy(a)utoronto.ca) with the title: “Post-doc in multi-scale bioinformatics and neuroscience” in the subject line. In the cover letter, please highlight one or two publications or preprints the candidate feels is their best work. Applications will be reviewed in an ongoing manner and the position will remain open until filled. About the Krembil Centre for Neuroinformatics: In 2017, Centre for Addiction and Mental Health (CAMH) established its new $15-million Krembil Centre for Neuroinformatics to leverage the largest mental health patient database in Canada and combine world-leading talent specializing in computational approaches to brain science, a robust data integration platform, and analytical tools to accelerate and revolutionize the world’s understanding of the brain and brain-based illnesses. The Krembil Centre for Neuroinformatics positions CAMH as a leader in brain science using the power of big data analytics, artificial intelligence and machine learning, and multi-scale brain modelling in order to bridge the levels of the structure and function of the brain – from genes to circuits to behavior.

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Tenure Track Faculty Position - Systems and Computational Biology
by Ruben Coen-Cagli April 24, 2019

April 24, 2019

Dear colleagues, our department is recruiting faculty with an emphasis on theoretical, computational and experimental approaches to studying complex biological systems, including computational neuroscience. Details in the ad below. The Albert Einstein College of Medicine, one of the leading medical schools, located in New York City, is seeking to fill multiple tenure track faculty positions in the Department of Systems and Computational Biology. The major goal of the department is to advance our understanding of living systems by developing theoretical, computational and experimental approaches to study complex biological systems. The College has 711 medical students, 160 Ph.D. students and 107 M.D./Ph.D. students, 265 postdoctoral research fellows in training and boasts a strong research faculty covering broad areas of experimental biology. The College of Medicine has more than 1,800 full-time faculty members located on the main campus and at its clinical affiliates. The 200,000 square foot Center for Genetic and Translational Medicine at Einstein locates computational, systems and experimental scientists in physical proximity to foster interdisciplinary communication and collaboration. Highly competitive start-up packages are available. [https://analytics.click2apply.net/v/Y7MBopTB6AyKtRmRu8Xgz] We seek outstanding scientists with broad experience and demonstrated collaborative interactions with experimental or clinical investigators. Candidates should have strength in a physical, mathematical or computational field at the Ph.D. or equivalent level. Experience applying these skills to a biological or biomedical area (demonstrated through publications or support) is also desirable. Areas of interest include, but are not limited to: Modeling cellular processes; Evolutionary medicine; Evolution of structure and function; Biological networks analysis; Microbiome; Computational neuroscience; Mathematical and computational modeling of high-dimensional data related to complex traits. Applicants should send a letter of interest, C.V., statement of research and teaching interests, and names of three referees, in electronic format to: Systems and Computational Biology Search Committee Albert Einstein College of Medicine Jack and Pearl Resnick Campus 1300 Morris Park Ave. Price Center, Rm. 153 Bronx, New York 10461 E-mail Address: SysBio(a)einstein.yu.edu<mailto:SysBio@einstein.yu.edu> Subject line should be: SCB Faculty Search The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/

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postdoctoral positions in computational neuroscience at IIT, Italy
by Stefano Panzeri April 24, 2019

April 24, 2019

Two postdoctoral positions will be available at Istituto Italiano di Tecnologia) to work with me (Stefano Panzeri https://www.iit.it/people/stefano-panzeri) in the laboratory of Neural Computation. The laboratory investigates, by developing and using advanced data analysis methods and neural network models, how circuits of neurons in the brain encode information and use it to produce appropriate behaviors. The positions on offer would leave the candidate the choice of developing a research project of mutual interest within this research area. The laboratory offers a wide range of interdisciplinary expertise in computational neuroscience, including both advanced neural analysis techniques and neural network modeling. The laboratory also offers a thriving, ambitious research environment which is well funded (including several grants from the NIH Brain Initiative). Moreover, the laboratory offers extensive long-term international collaborations with empirical neuroscience laboratories (including Chris Harvey at Harvard Medical School, Wei Lee at Children’s Hospital, Christoph Kayser at Bielefeld, Nikos Logothetis at Tuebingen, Mathew Diamond at SISSA, Tommaso Fellin and Cristina Becchio at the IIT, Alex Thiele at Newcastle) and ample opportunities for advanced training and personal scientific growth. I seek candidates holding a PhD in a numerate or neuroscientific discipline, with a solid computational background and a keen interest in neuroscience. They must be highly motivated and creative individuals who want to work in a dynamic, multi-disciplinary research environment and be willing to interact with both experimental and theoretical neuroscientists. The successful candidate will have the opportunity to conduct research at the IIT center in Rovereto (Italy), or at the IIT headquarters in Genova, (Italy). For representative recent publications from my lab, please see: Runyan C. A., et al (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96. Panzeri S., et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behaviour. Neuron 93: 491-507 Safaai, H., et al (2015) Modelling the effect of Locus Coeruleous firing on single trial cortical state dynamics and sensory processing. Proc. Natl. Acad. Sci. USA 112(41): 12834–12839 Further information about my research can be found at my IIT and Google Scholar web pages: https://www.iit.it/people/stefano-panzeri https://scholar.google.it/citations?user=C-HCQ9cAAAAJ&hl=en Applications (full CV, statement of research interest and name and contact of 2 referees) should be sent by e-mail to stefano.panzeri(a)iit.it, quoting “Postdoctoral position in Computational Neuroscience” in the subject line. The deadline for applications is May 18th, 2019. Applications will be examined until the position is filled. Interested applicants are advised to contact me by email informally as soon as possible to discuss about the science and the position informally. Thanks Stefano Panzeri

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First Call for Papers: Neurodegeneration and Language - Special Session on Language Disorders
by Dimitrios Kokkinakis April 24, 2019

April 24, 2019

*Call for Papers [apologies for x-posting]* *Neurodegeneration and Language - Special Session on Language Disorders* *Special session date*: September 27th, 2019 Lisbon, Portugal, co-located with ExLing-2019 *Website*: https://spraakbanken.gu.se/eng/neural-2019 *Submissions*: https://exlingworkshop.com/exling-2019/special-sessions-2019.html *Deadline of extended abstract submission**: *July 1st, 2019 *Contact**:* dimitrios _DOT_ kokkinakis _AT_ gu _DOT_ se *NEURodegeneration And Language (NEURAL 2019)* is a special session on language disorders which will take place in the context of *ExLing 2019 <https://www.exlingworkshop.com/>* in Lisbon, Portugal, 27 September 2019, under the auspices of *Centro de Linguística da Universidade de Lisboa.* The *NEURAL 2019* special session aims to advance our knowledge on language disorders and the development of experimental methods for the analysis and processing of speech and language. Special emphasis is put on interdisciplinary approaches among different research areas, including computational linguistics (CL), (cognitively inspired) natural language processing (NLP), speech acoustics, and also other related areas and modalities, including wearable, vision, and ambient sensor technologies . The special session programme will contain a combination of oral and poster papers on main areas of language disorders. Furthermore, attendees will have opportunities of free discussions among *NEURAL 2019* as well as *ExLing 2019 <https://www.exlingworkshop.com/>* participants. Submission of 4-page papers related to the above aims of the special session *NEURAL 2019* are welcome at <https://www.exlingworkshop.com/exling-2019/submissions-2019.html> https://www.exlingworkshop.com/exling-2019/special-sessions-2019.html

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DeepMath 2019 Call for Contributions
by Ahmed El Hady April 21, 2019

April 21, 2019

*ANNOUNCEMENT AND CALL FOR CONTRIBUTIONS* ** * The 2019 Conference on Mathematical Theory of Deep Neural Networks (DeepMath 2019) Princeton Club, New York City, Oct 31-Nov 1 2019. Web: https://www.deepmath-conference.com/ ======= Important Dates ======= Submission deadline for 1-page abstracts: June 28, 2019 Notification: TBA. Conference: Oct 31-Nov 1 2019. ======= Confirmed speakers ======= Anima Anandkumar (CalTech), Yasaman Bahri (Google), Minmin Chen (Google), Michael Elad (Technion), Surya Ganguli (Stanford), Tomaso Poggio (MIT), David Schwab (CUNY), Shai Shalev-Shwartz (Hebrew University), Haim Sompolinsky (Hebrew University and Harvard), and Naftali Tishby (Hebrew University). ======= Workshop topic ======= Recent advances in deep neural networks (DNNs), combined with open, easily-accessible implementations, have made DNNs a powerful, versatile method used widely in both machine learning and neuroscience. These advances in practical results, however, have far outpaced a formal understanding of these networks and their training. Recently, long-past-due theoretical results have begun to emerge, shedding light on the properties of large, adaptive, distributed learning architectures. Following the success of the 2018 IAS-Princeton joint symposium on the same topic (https://sites.google.com/site/princetondeepmath/home) the 2019 meeting is more centrally located and broader in scope, but remains focused on rigorous theoretical understanding of deep neural networks. ======= Call for abstracts ======= In addition to these high-profile invited speakers, we invite 1-page non-archival abstract submissions. Abstracts will be reviewed double-blind and presented as posters. To complement the wealth of conferences focused on applications, all submissions for DeepMath 2019 must target theoretical and mechanistic understanding of the underlying properties of neural networks. Insights may come from any discipline and we encourage submissions from researchers working in computer science, engineering, mathematics, neuroscience, physics, psychology, statistics, or related fields. Topics may address any area of deep learning theory, including architectures, computation, expressivity, generalization, optimization, representations, and may apply to any or all network types including fully connected, recurrent, convolutional, randomly connected, or other network topologies. Committee Information: Organizing committee: * Ahmed El Hady * Adam Charles * Mikio Aoi * Andrew Saxe * Joan Bruna * Michael Shvartsman * Sebastian Musslick * Stephen Keeley Advisory committee * Jonathan Cohen * Daniel Lee * Sebastian Seung * Ted Willke Local Committee * NYU: Joan Bruna * Columbia: Ashok Kumar * SUNY Stonybrook: Il Memming Park * Yale: Gal Mishne * City College: David Schwab * IAS: Nadav Cohen *

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Summer School in Computational and Theoretical Models in Neuroscience, Venice, Italy (September 9th - September 14th, 2019)
by Samir Suweis April 19, 2019

April 19, 2019

ConTaMiNEURO 2019 Summer school ,Venice, Italy (September 9th - September 14th, 2019) I would like to bring to your attention to the Summer School in Computational and Theoretical Models in Neuroscience, ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> Approaches and techniques from Physics, Mathematics and Computational Science are increasingly becoming critical for understanding and modelling the brain, and also for designing and interpreting experiments. Modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> wants to convey central ideas, methods, and practices of modern computational neuroscience through a combination of lectures, tutorials and seminars. During the course’s mornings, distinguished international faculty deliver lectures and seminars on selected topics in computational neuroscience (see below). For the remainder of the time, students work on research projects in teams of 3-4 people under close supervision of expert tutors and faculty. Research projects will include data analyses and the development of theories to explain experimental observations. The School is will take place from 9 to 14 September at palazzo Morelli of the University Ca’Foscari, in the heart of Venice. All the details can be found at the school website: http://neuroschool19.liphlab.com/ <http://neuroschool19.liphlab.com/> Thanks to the support of our sponsor, in particular the University of Padova and the newborn Padova Neuroscience Center (PNC <http://pnc.unipd.it/>), the early bird registration fee for Ph.Ds students and Post Docs is 200 Euro, deadline is 30 June 2019. MAX 40 participants. ConTaMiNEURO 2019 <http://neuroschool19.liphlab.com/> is co-organized by Samir Suweis, Amos Maritan, Maurizio Corbetta, Marco Formentin, Stefano Vassanelli (University of Padova), Achille Giacometti (University of Venice) and Miguel A. Munoz (University of Granada). Invited Speakers Ken Miller, Columbia University, USA. Yiota Poirazi, IMBB-FORTH, Creta. Nicolas Brunel*, Duke University, USA. Andrea Brovelli, University of Marsille. Jordi Soriano, University of Barcellona Mazzuccato Luca, Columbia University & University of Oregon Stefano Panzeri, IIT Rovereto Jesus Cortes, IKERBASQUE: The Basque Foundation for Science Lucilla De Arcangelis, University of Naples Raffaella Burioni, University of Parma Gustavo Deco, Pompeu Fabra University, Barcelona Jonathan Touboul, Brandeis University (USA) Susanne Ditlevsen, University of Copenaghen Alessandro Treves, Trieste SISSA Misha Tsodyks, Weizmann Institute of Science Marco Zorzi, University of Padova Lamberto Ballan, University of Padova Eleni Vasilaki, University of Shieffield Marcello Pelillo, European Center of Living Techonology & University of Venice Tommaso Fellin, IIT Genova Maria Victoria Sánchez Vives , ICREA-IDIBAPS (Barcelona) Marco dal Maschio, University of Padova Serena del Santo, University of Granada Lorenzo Fontolan, Janelia Farm Samir Suweis, Ph.D. ***** LIPh Lab, Physics & Astronomy Dept. University of Padova Tel: +39 049 827 71 74 @SamirSuweis

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Postdoc in large-scale brain modeling and machine learning
by Jan Fousek April 18, 2019

April 18, 2019

A postdoc position is available at the Institut de Neurosciences des Systèmes (http://ins-amu.fr/) Aix-Marseille University, France. Summary The Theoretical Neuroscience Group (Head: Viktor Jirsa) is seeking to fill a post-doctoral position in the context of the project Virtual Brain Cloud to work on development of parameter inference workflows for connectome-based large-scale brain network models (see The Virtual Brain http://www.thevirtualbrain.org) applied to brain imaging data (EEG, MEG, fMRI). In particular, the project will involve the application and evaluation of common Bayesian estimation techniques such as Markov-Chain Monte-Carlo and variational schemes to high-dimensional time-series models of brain activity. These were previously successfully applied in the context of estimation of brain excitability based on personalized brain models and intracerebral electrophysiological recordings of seizure propagation in epileptic patients. The successful candidate will join a team working towards generalizing these approaches for other paradigms such as stimulation or resting state. Qualification Candidates should be have strong background in data fitting (Bayesian inference approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques). Experience with computational neuroscience (networks, dynamic system theory) and ability to program in a numerically oriented language (R, Python, MATLAB) are valued. The Theoretical Neuroscience Group We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. Terms of salary and employment The position is initially for one year, renewable on an annual basis based on performance. Salary will depend on diploma and experience. Operating language in the laboratory is English and French. CONTACT viktor.jirsa(a)univ-amu.fr | Institut de Neurosciences des Systèmes https://ins-amu.fr/ -- Jan Fousek INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université 27 Bd Jean Moulin, 13005 Marseille https://ins-amu.fr/

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PhD position - Inverse Reinforcement Learning
by Constantin Rothkopf April 18, 2019

April 18, 2019

The Centre for Cognitive Science at Technische Universitaet Darmstadt, Germany invites applications for a Ph.D. Position in Inverse Reinforcement Learning initially limited to a period of three years. Research area The Ph.D. student is expected to work in the domain of inverse reinforcement learning with the particular focus of elucidating human decision making and collective human decision making in the wild, i.e., under real world noisy conditions. The research project is a joint venture between the Bioinspired Communication Lab and the Psychology of Information Processing Lab, both members of the Centre of Cognitive Science at TU Darmstadt. Accordingly, the student will be advised by Prof. Heinz Koeppl, Department of Electrical Engineering and Prof. Constantin Rothkopf, Department of Psychology. Work will involve methodological research in machine learning, design of dedicated human behavioral experiments, and the analysis and further processing of gathered data. What we offer We offer a unique interdisciplinary environment to perform cutting-edge research at one of Germany’s leading universities in the domain of computer science and engineering. The student will be embedded in the ongoing research activities within the Centre for Cognitive Science and will hence have the opportunity to interact with many other cognitive science researchers. The conducted research is expected to culminate in a Ph.D. degree. We offer comprehensive support for dissemination of results through leading scientific journals and through participation in leading international conferences and workshops. Your profile Candidates should have a M.Sc. degree in one of the following fields: computer science, physics, mathematics, engineering, or cognitive science. Candidates are required to have a sincere interest in interdisciplinary research at the crossroad of psychology and computer science. Application We look forward to receiving your application, consisting of a cover letter in which you lay out your interest in the indicated research area, curriculum vitae, copies of certificates and contact details of at least two academic references. Please send your application package as a single PDF file to application(a)bcs.tu-darmstadt.de. Code No. 590. The position is initially advertised till May 3rd 2019, but later applications will be considered until the position is filled. -- Constantin A. Rothkopf, PhD http://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ http://www.ai-da.tu-darmstadt.de/

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Postdoctoral position in multivariate connectivity and computational modeling in fMRI
by Joshua Hartshorne April 18, 2019

April 18, 2019

Second Call. Wanted: Post-doctoral fellow interested in delving into new computational techniques for fMRI analysis. This position is ideal for students with a background in neuroimaging who want to strengthen their technical skills in preparation for a job market that increasingly values advanced analysis methods, or for students with a background in machine learning who want to branch into neuroscience. This Simons Foundation-funded research project will be focused on developing, evaluating, and deploying state-of-the-art multivariate connectivity techniques and other modeling approaches. The initial application will be to a large Autism dataset, and may grow from there depending on progress. The postdoc will work closely with the PIs: Prof. Stefano Anzellotti and Prof. Joshua Hartshorne (Department of Psychology, Boston College). Both PIs run young, small labs, so the post-doc can expect individualized attention and training. Boston College is a research university classified as "Very High Research Activity (R1)" by the Carnegie Classification, and has a bustling Psychology and Neuroscience department with 19 faculty. Graduate students and post-docs in the department regularly go on to prestigious academic appointments (e.g., see https://bit.ly/2PdvK3N) You can learn more about Drs. Anzellotti and Hartshorne at sccnlab.bc.edu and l3atbc.org, respectively. Preferred start date is between June 1 2019 and Jan. 1 2020. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particularly encouraged to apply. The position is funded for two years and may be renewable beyond the second year depending on funding. Salary follows the NIH Postdoc scale. Boston College is an Equal Opportunity Employer. Candidates from backgrounds underrepresented in psychology/neuroscience are particular encouraged to apply. To apply, submit a CV, contact information for 2-3 references, and a cover letter highlighting relevant research experiences and interests directly to jkhartshorne(a)gmail.com. Review of application is ongoing and will continue until the position is filled.

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Dopaminergic Signaling Workshop at OCNS meeting in Barcelona July 16-17
by Canavier, Carmen C. April 17, 2019

April 17, 2019

CNS*2019 Twenty Eighth Annual Computational Neuroscience Meeting Universitat de Barcelona, Barcelona, Spain. Jul. 16 - 17, 2019 Workshop Title: Dopaminergic Signaling Workshop Organizer: Carmen Canavier, LSU Health Science Center New Orleans, ccanav(a)lsuhsc.edu Brief Description: This workshop will examine dopaminergic signaling from the perspective of the regulation of afferent inputs to dopamine neurons, to plasticity of afferent synapses onto dopamine neurons, to the dynamic diversity of dopamine neuron subpopulations, to plasticity and other forms of dopaminergic signaling in projection areas such as the striatum and prefrontal cortex, with reference to depression, schizophrenia, Parkinson's and addiction. This work is timely in that the diversity of dopaminergic populations is beginning to be appreciated and significant because of the cognitive, motor and motivational functional circuits that rely on dopaminergic signaling. https://www.cnsorg.org/cns-2019 Speakers: Joshua Berke Dissociable dopamine dynamics for learning and motivation UCSF Avrama Blackwell TBA George Mason University Carmen Canavier Dynamics of distinct subpopulations of dopamine neurons LSU Health Science Center Kenji Doya State, value and action coding in the striatum Okinawa Institute of Science and Technology Daniel Durstewitz Inferring nonlinear dynamics from fMRI recordings in schizophrenia University of Heidelberg Arif Hamid Wave-like spatio-temporal patterns organize dopamine Brown University transients into compartmentalized decision-signals Laurent Venance Dopamine-endocannabinoid interactions mediate bidirectional spike Collège de France timing dependent plasticity in the striatum Martin Vinck TBA Ernst Struengmann Institute for Neuroscience Jeff Wickens Timing of dopamine directs synaptic plasticity Okinawa Institute of Science and Technology Denis Zakharov Role of VTA GABAergic neurons in high-frequency firing of dopaminergic neuron Higher School of Economics (Moscow) Larry Zweifel TBA University of Washington

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Postdoc positions on decision-making in Hamburg
by Bharath Chandra Talluri April 17, 2019

April 17, 2019

***** Posting on behalf of Dr. Konstantinos Tsetsos ******* The University Medical Center Hamburg-Eppendorf (UKE, Hamburg, Germany) is inviting highly qualified and motivated candidates to apply for two 3-year postdoctoral positions embedded in the recently established “Decision Neuroscience Group” at the Department of Neurophysiology and Pathophysiology, led by Konstantinos Tsetsos. These positions are part of the European Research Council (ERC) Starting Grant “Information Sampling in Multiattribute Choice” (INFOSAMPLE) awarded to Konstantinos Tsetsos. This project will utilise tools from sensory neuroscience in order to characterise how humans distribute their attention across time during multiattribute decisions. Using this approach we aspire to understand why humans reverse their preferences irrationally, when irrelevant alternatives are added to the choice-set. The postdoctoral researchers will be involved in designing and conducting psychophysical experiments using MEG and pharmacology, in analysing MEG data, and in working with computational models of attention & decision-making. A sufficiently strong quantitative background is required for both positions. Experience with ICA, source reconstruction, frequency tagging (SSVEP) and decoding techniques is desirable. Lack of exposure to these techniques can be compensated with experience in attention/ visual search or decision-making research. The positions are available for three years and may start on the 01.06.2019 or the soonest possible after that date. The positions will be remunerated at salary level E13 TV-KAH, 100%. Applicants should send their CV and publication list, a brief statement of research interests as well as the names of two referees to Dr Konstantinos Tsetsos (k.tsetsos(a)uke.de <mailto:k.tsetsos@uke.de>) until the 10th of May, 2019. Informal inquiries about the positions can also be addressed to K. Tsetsos. Shortlisted candidates will be invited for an interview. Information about the lab: https://www.ktsetsoslab.net <https://www.ktsetsoslab.net/> Further details as well as information on how to apply: https://bit.ly/2XXWlWD <https://bit.ly/2XXWlWD> On behalf of Konstantinos Tsetsos, Bharath Talluri. -- Bharath Chandra Talluri, MSc PhD Student, Cognitive Neuroscience Department of Neurophysiology and Pathophysiology University Medical Centre, Hamburg-Eppendorf Hamburg, Germany @BharathTalluri <https://twitter.com/BharathTalluri> https://bharathtalluri.info/ <https://bharathtalluri.info/>

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Summer internship. Role of the thalamus in sleep oscillatory dynamics underlying memory consolidation
by Carmen Varela April 16, 2019

April 16, 2019

*Paid Summer Research Internship in Systems Neuroscience* *(MIT, FAU)* We are looking for a talented student that will apply analytical techniques to investigate the role of the thalamus in the oscillatory dynamics that organize the consolidation of episodic memory during sleep. The project will involve the analysis of neural data (single cells, local field potentials) from extracellular recordings in sleeping rats. *Requirements:* Outstanding interpersonal and communication skills, demonstrated initiative and dedication, ability to learn fast. Strong analytical skills, including signal processing and programming. EECS, Physics, Computational Neuroscience students encouraged to apply. *What you get: * · Two months of research in systems neuroscience, including the application of analytical techniques to extracellular electrophysiology data. · Spend this summer in the Jupiter campus of Florida Atlantic University, an expanding and interactive neuroscience hub that also holds our partners the Max Planck Florida Institute for Neuroscience and Scripps Research Institute. · Possibility of visiting MIT in August to present results from your work. *Contact:* Submit resume and a brief paragraph commenting on how your skills and background could be helpful to this neuroscience project. Let Dr. Carmen Varela know when you would be available for an interview. varelac(a)fau.edu https://www.thethalamus.org/

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Athens International MSc in Neurosciences -- now accepting 2019-20 applications
by Vassilis Cutsuridis April 16, 2019

April 16, 2019

Apologies for cross-posting – please forward to any interested party. / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / *Applications for the 2019-20 MSc programme in* *Athens International Master's in Neurosciences <http://mastermeuroscience.biol.uoa.gr>* *at National and Kapodistian University of Athens, Greece* *are now OPEN.* / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / This cutting-edge Masters programme is a combined effort of several Athens-based departments and research centers including the - Department of Biology of the National and Kapodistrian University of Athens - Department of Nursing of the National and Kapodistrian University of Athens - Department of Dentistry of the National and Kapodistrian University of Athens - School of Medicine of the National and Kapodistrian University of Athens - Foundation for Biomedical Research of the Academy of Athens - National Center for Scientific Research "Demokritos" - Hellenic Pasteur Institute - Biomedical Sciences Research Center “Alexander Fleming” which builds on the multi-disciplinary research profiles of its staff. Teaching and research staff includes Greek and International professors and researchers of Greek and International Universities and Research Centers. *All lectures are taught in English*. The programme equips students with a rigorous grounding in experimental and computational methods of neurosciences; it also provides them with the opportunity to apply the knowledge they acquired in a practical research project, which may be carried out in collaboration with one of the Masters programme’s industry partners. ** COURSE OUTLINE ** ————————— This is a two-year MSc degree programme, consisting of taught modules (12 months) plus research project and dissertation (12 months). It is designed for students with a good degree in the biological / life sciences (psychology, neuroscience, biology, medicine, etc.) or physical sciences (computer science, mathematics, physics, engineering) interested in how the brain and mind works. The core contents of this programme include (i) fundamentals of experimental neurosciences (developmental neuroscience, cellular and molecular neuroscience, neuroanatomy, neurobiological bases of diseases of the nervous system, neuropharmacology, neuroimmunology, neuroendocrinology. behavioral neuroscience, electrophysiology, neuroimaging), (ii) Lab rotations, and (iii) concepts,methods of computational modelling, data analytics and machine learning. Unlike other standard neuroscience programmes (focusing predominantly either on “low-level” or "high-level" aspects of neuroscience), one of the distinctive features of this programme is that it covers the whole spectrum of the neurosciences bridging the gap between molecular and cellular neuroscience to high-level cognitive processes (e.g., language, attention, and decision making) including computational neuroscience and big data analytics. The final research project and dissertation is carried out in collaboration with an external partner, either from academia or industry. ** WHY STUDY IN ATHENS ** -------------------------------------- Aside from mastering neuroscience, you can also enjoy the largest open-air museum during its mostly sunny and dry days. These include Acropolis and Parthenon, the Odeon of Herodes Atticus, the Arch of Hadrian, the Theatre of Dionysus, Panathenaic Stadium-Kallimarmaro, the iconic Temple of Olympian Zeus, pedestrian avenue of Dionysios Areopagitou, Pnyx Hill, Thiseio, Monastiraki, Plaka and etc, that are full of temples and ancient and Byzantine monuments. In addition, Athens has great museums incunding the Acropolis meuseum, the National Archaeological museum, the museum of Modern Art, the museum of Greek Folk Art and of Greek Folk Musical Instruments, the War Museum, the Benaki Museum, the Museum of Cycladic Art, the National Gallery, and others. You will also have the opportunity to enjoy excellent nature and coast line and the easily reached Aegean islands. ** TUITION FEES ** ————————— *F**ull time EU students*: 2000 Euros per year *Full time non-EU students*: 3000 Euros per year *Part time students*: 500 Euros per semester during the first two years and 1000 Euros per semester during the third year. ** HOW TO APPLY ** ————————— *Applications for the 2019-20 and 2020-21 Academic Years are now open. * To fill in an application, click on this link and follow the instructions: http://masterneuroscience.biol.uoa.gr/admissions.html <https://bit.ly/2Fi86SB> *NOTE: places are limited.* We recommend submitting an application as soon as possible to ensure a place on the programme. For any further information about the programme, please visit: *http://mastermeuroscience.biol.uoa.gr* <https://www.gold.ac.uk/pg/msc-computational-cognitive-neuroscience/> Should you have any questions, please do not hesitate to contact me. I look forward to receiving your application soon! With very best wishes, Professor Spiros Efthimiopoulos ( <M.Garagnani(a)gold.ac.uk>efthis(a)biol.uoa.gr ) — Spiros Efthimiopoulos Professor Director of the Master's Programm: "Athens International Master's Programme in Neurosciences" University of Athens Department of Biology Division of Animal and Human Physiology Central Building, 3nd Floor, Room 38 or 44 157 84 Panepistimiopolis, Ilisia Athens, Greece Tel# ++ 30 210 7274890, ++306974874328 Fax# ++ 30 210 7274635 E-mail: efthis(a)biol.uoa.gr / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / /

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Job opening: Visiting Professorship in Machine Learning at Jacobs University
by Herbert Jaeger April 16, 2019

April 16, 2019

Jacobs University Bremen (www.jacobs-university.de) invites applications for a *** 3-year Visiting Professorship in Machine Learning *** The full job description can be found at https://www.jacobs-university.de/visiting-professor-computer-science-mfd-ma… Jacobs University is a small, select, private, research-oriented, English-speaking university with a beautiful campus located at the outskirts of Bremen, a charming old trading seaport in the north of Germany. In the Times Higher Education (THE) worldwide university ranking 2018, Jacobs University ranked in the top 300 in the general ranking, in the 151-175 bracket in Engineering and Technology and in the 176-200 bracket in the Life Sciences. The review of applications will begin immediately and will continue until the position is filled. Ideally, a successful candidate can start on this position in August 2019. - Herbert Jaeger ------------------------------------------------------------------ Dr. Herbert Jaeger Professor for Computational Science Jacobs University Bremen gGmbH Campus Ring 28759 Bremen, Germany Phone (+49) 421 200 3215 email h.jaeger(a)jacobs-university.de http://minds.jacobs-university.de ------------------------------------------------------------------

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[meetings] CfP: Workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions, IEEE ICDL-EpiRob 2019
by Nicolás Navarro-Guerrero April 15, 2019

April 15, 2019

Apologies for cross-posting. Dear Colleagues, We would like to cordially invite you to submit a paper to the ICDL-EpiRob 2019 workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions. Call for Contributions and Participation IEEE ICDL-EpiRob workshop on Naturalistic Non-Verbal and Affective Human-Robot Interactions 19th August 2019, Oslo, Norway Website: https://nicolas-navarro-guerrero.gitlab.io/workshop-non-verbal-human-robot-… Humans continually manifest non-verbal and affective cues and expressions used to foster cooperation, mutual understanding and signal trustworthiness. If these cues are not appropriately reciprocated, however, the interaction can be negatively impacted. Moreover, inappropriate reciprocation, or lack thereof, may be the result of misperception and or non-timely reactions. Failure to adequately account for biologically plausible perceptual and temporal facets of interactions may detract from the quality of human-robot interaction and hinder progress in the field of social robotics more generally. Incorporation of naturalistic and adaptive forms of sensorimotor and affective human-robot non-verbal communication is challenging because such interaction is highly dependent on the context and the relationship between the observer and the expresser. Biological species based interaction often requires explicit forms of social signalling such as nodding, nonverbal gestures, emotional expressions, etc., the interpretation of all of which may be highly context-sensitive. Furthermore, naturalistic social signalling may involve a certain degree of mimicry of autonomic responses such as pupil dilation, blinking, blushing, etc. which, in human-robot interaction requires the implementation of time-sensitive perceptual mechanisms currently underused in both commercial and research robotics platforms. In this workshop, we will investigate and discuss to what extent the aforementioned naturalistic social signalling capabilities needs to be accounted for in human-robot interaction and what modalities are more relevant, and in what contexts. The workshop will focus strongly on research motivated by naturalistic empirical data. We hope to provide a discussion friendly environment to connect with research covering complementary interests in the areas of robotics, computer science, psychology, neuroscience, affective computing and animal learning research. The primary list of topics covers the following (but not limited to): * Emotion recognition * Gesture recognition * Social gaze recognition * The development of expression and recognition capabilities * Joint visual attention and activity * Alignment in social interactions * Non-verbal cues in human-robot interaction Invited Speakers Christian Balkenius, Lund University, Sweden Vicky Charisi, Joint Research Centre, European Commission Kerstin Dautenhahn, University of Waterloo, Canada Frank Foerster, University of Hertfordshire, UK Stefanie Höhl, University of Vienna, Austria Yukie Nagai, University of Tokyo, Japan Alessandra Sciutti, Istituto Italiano di Tecnologia, Italy Important Dates Paper submission deadline: 12th May 2019 Notification of acceptance: 7th June 2019 Camera-ready version: 1st August 2019 Workshop: 19th August 2019 Participants are invited to submit short papers (max. 4 pages) following the standard IEEE conference template, link at the workshop webpage. Send your PDF manuscript indicating [ICDL-EPIROB 2019] in the subject to: nng(a)ieee.org . Selected contributions will be presented during the workshop. Organizers Nicolás Navarro-Guerrero, Aarhus University, Aarhus, Denmark Robert Lowe, University of Gothenburg, Sweden Best regards, Nicolás -- Nicolás Navarro-Guerrero Assistant Professor Department of Engineering, and School of Culture and Society Aarhus University, Denmark E-mail: nng(a)eng.au.dk https://nicolas-navarro-guerrero.github.io/ https://socialrobotics.au.dk/ Aarhus University Finlandsgade 22, building 5125 8200 Aarhus N Denmark Tel.: +45 8715 0000 eng(a)au.dk www.eng.au.dk/en/

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Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019)
by Jochen Triesch April 15, 2019

April 15, 2019

Dear Colleagues, We are pleased to announce the “Fourth International Workshop on Intrinsically-Motivated Open-endedLearning (IMOL2019)”, which will be held at Frankfurt Institute for Advanced Studies (FIAS) in Frankfurt (Germany) on 1-2-3 July 2019. The organizers of IMOL 2019 will be - Vieri Giuliano Santucci (ISTC – CNR, Rome) - Kathryn Merrick (University of New South Wales, Canberra) - Jochen Triesch (FIAS, Frankfurt) - Gianluca Baldassarre (ISTC – CNR, Rome) Following three previous editions, the highly focused “Fourth International Workshop on Intrinsically-Motivated Open-ended Learning (IMOL2019)” aims to further explore the promise of intrinsically motivated open-ended lifelong learning. The workshop aims to be a highly interactive event with high-profile keynote presentations (see list of confirmed invited speakers at the end of this message). It will foster close interaction among the participants by discussions, poster sessions, and collective round tables directed toward specific objectives. Participation in the workshop is free of charge but limited to a restricted number of participants. Prospective attendees should express their interest by submitting a brief statement on their motivations to participate, their research interests, and their willingness (or not) to contribute with a poster. The submission should be made by following the instructions at http://www.imol-conf.org/ before the deadline of May, 17th. Both senior and early career researchers, including PhD students, are encouraged to submit to ensure a full representation of the community. Topics of interest involve open-ended lifelong learning in autonomous agents and robots, for example: - Autonomous robots lifelong learning - Multi-task reinforcement learning - Deep reinforcement learning - Intrinsic motivations - Curriculum learning - Goal self-generation - Multiple task solution and parameterized skills - Neural/probabilistic representations and abstractions - Architectures for open-ended learning - Goal-based skill learning - Knowledge transfer and avoidance of catastrophic forgetting - Compositionality and chunking - Hierarchies of goals and skills - Mitigating risks of real-world deployment of open-ended learning systems List of confirmed invited speakers - Luc Berthouze - Marc Bellemare - Bruno Castro da Silva - Stephane Doncieux - Kenji Doya - Richard Duro - Verena Hafner - Matej Hoffman - Petar Kormushev - Georg Martius - Yukie Nagai - Nicolás Navarro-Guerrero - Kevin O'Regan - Matthias Rolf - Elmar Rueckert - Bertram E. Shi - Olivier Sigaud - Jochen Steil - Freek Stulp - Céline Teulière - Emre Ugur (more TBC) -- Prof. Dr. Jochen Triesch Johanna Quandt Research Professor Frankfurt Institute for Advanced Studies http://fias.uni-frankfurt.de/~triesch/ Tel: +49 (0)69 798-47531 Fax: +49 (0)69 798-47611

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CFP: The 2nd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2019): ENTERING THE ERA OF BIG DATA VIA TRANSFER LEARNING AND DATA HARMONIZATION
by MLCN Workshop April 15, 2019

April 15, 2019

Dear Colleagues, We are delighted to invite you to join us for the MLCN 2019 <https://mlcnws.com/> workshop as a satellite event of the MICCAI 2019 conference, Shenzhen, China. Call for Papers Recent advances in neuroimaging and machine learning provide an exceptional opportunity for investigators and physicians to discover complex relationships between brain, behaviors, and mental and neurological disorders. The MLCN 2019 workshop (https://mlcnws.com) as a satellite event of MICCAI 2019 (https://www.miccai2019.org) aims to bring together researchers in both theory and application from various fields in domains such as *e.g.* machine learning, neuroimaging, predictive clinical neuroscience, *etc.* Topics of interests include, but are not limited to: - Transfer learning in clinical neuroimaging - Model stability in transfer learning - Data prerequisites for successful transfer learning - Domain adaptation in neuroimaging - Data harmonization across sites - Data pooling – practical issues - Cross-domain learning in neuroimaging - Interpretability for transfer learning - Unsupervised methods for domain adaptation - Multi-site data analysis, from preprocessing to modeling - Big data in clinical neuroimaging - Scalable machine learning methods - Benefits, problems, and solutions of working with very large datasets SUBMISSION PROCESS: The workshop seeks high quality, original, and unpublished work on algorithms, theory, and applications of machine learning in clinical neuroimaging related to big data, transfer learning, and data harmonization. Papers should be submitted electronically in Springer Lecture Notes in Computer Science (LCNS) style ( https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…) with up to 8-pages and using the CMT system at https://cmt3.research.microsoft.com/MLCN2019. The MLCN workshop uses a double-blind review process in the evaluation phase, thus authors must ensure anonymous submissions. Accepted papers will be published in a joint proceeding with the MICCAI 2019 conference. IMPORTANT DATES: - Paper submission deadline: July 1, 2019 (23:59 PST) - Notification of Acceptance: August 5, 2019 - Camera-ready Submission: August 12, 2019 - Workshop Date: October 13, 2019 Best regards, MLCN 2019 Organizing Committee <https://mlcnws.com/organization/>, Email: mlcnworkshop(a)gmail.com Website: https://mlcnws.com/ <https://mlcn2018.com/> twitter: @MLCNworkshop <https://twitter.com/MLCNworkshop>

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post-doctoral positions: Neuroscience and Philosophy of Free Will
by Schurger Lab April 13, 2019

April 13, 2019

The post-doctoral positions will be part of a large international project on the neuroscience and philosophy of free will, where some 20 neuroscientists and philosophers will collaborate to explore the neural basis of volition, using experimental, theoretical and computational approaches. Please see here for details: https://braininstitute.us/static-media/uploads/freewill_postdoc_2019.pdf

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Computational Neuroscience Modeler for Neurodegeneration Quantitative Systems Pharmacology Project at Certara
by Hugo-Geerts＠In-Silico-Biosciences.com April 13, 2019

April 13, 2019

Closing Date for Applications: Midnight (UK time), May 12, 2019 Line of Management: Senior Vice President QSP Position Type: Full Time Salary and benefits: Dependent on qualifications, experience and location Location: QSP offices in Sheffield or Canterbury (United Kingdom). Alternative locations and flexible working arrangements can be considered depending on individual circumstances. Job Overview: Certara is expanding its Quantitative Systems Pharmacology (QSP) services in Neurodegeneration and has bold ambitions to revolutionise drug discovery and development in this area of highest medical and societal need. As a result, we have an immediate opening for a Computational Neuroscience Modeller to join our QSP group. This is a unique opportunity to work in a multi-disciplinary team in a world-class organisation and utilise your advanced computational skills to make a difference to the lives of patients with neurodegenerative diseases. Successful applicants will contribute to the development of multi-scale QSP models for neurodegenerative diseases, such as Alzheimer's and Parkinson's disease. Specifically, they will develop biophysically realistic neuronal circuit-level computer models, linking pathways, pharmacological effect and clinical outcomes. Requirements: Essential * PhD and at least 2 years postdoctoral experience in computational biosciences * Strong publication record (commensurate with level of experience) * Experience in computational neuroscience and neural modelling with NEURON or equivalent software * Excellent programming skills * Good written and oral communication skills * Combines scientific excellence with ability to make impact in drug discovery and development programs in a timely manner * Ability to work virtually with project teams across different locations and time zones Desirable * Experience in QSP modelling * Experience in modelling neurodegenerative diseases * Experience working in drug discovery and development Company Overview: Certara is a world leader in bio-simulation which combines sophisticated research and development informatics with the power of predictive science methodologies to span the drug development spectrum and offer pharma a previously unavailable 'end-to-end' solution in the quest for improving human health. The Certara UK division develops industry-standard mechanistic models and tools in the areas of physiologically-based pharmacokinetics (PBPK), quantitative systems pharmacology (QSP) and quantitative systems toxicology and safety (QSTS). Certara combines sophisticated research and development informatics with the power of predictive science methodologies to span the drug development spectrum and offer pharma a previously unavailable 'end-to-end' solution in the quest for improving human health. Applications: Please send your CV, covering letter and the names of two references to the Certara Careers Page: www.certara.com

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Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE)
by Verhoef, J.P. (Julia) April 12, 2019

April 12, 2019

Postdoc position in the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Donders Institute, Centre for Cognitive Neuroimaging Maximum salary: € 4,978 gross/month Vacancy number: 30.05.19 Application deadline: 5 May 2019 [Logo NWO] [Logo Language in Interaction] Responsibilities We are currently recruiting for a 3-year postdoctoral researcher position regarding "Understanding the nature of the mental lexicon" in the Language in Interaction consortium. The goal of this project is to use advanced computational models applied to neural data to understand the structure and function of the language system and obtain a better understanding of the mental lexicon. You will be member of Big Question 1 (BQ1), a larger endeavour to develop computational models of the mental lexicon from linguistic, psychological and neuroscience perspectives. Your responsibility is to develop computational models and apply them to neural data to obtain new neurolinguistic insights. To this end, you will make use of existing publicly available datasets. You will also facilitate collaborative projects in BQ1 that combine the scientific expertise across different work packages. You are expected to take a leading role in translating modeling work to scientific output that provides new insights into the neural correlates of language, as disseminated via high-impact publications. The position also includes a small number of organizational and administrative tasks within BQ1 and the larger consortium. This position provides an opportunity to conduct world-class research as a key member of an interdisciplinary team operating at the interface between artificial intelligence and cognitive neuroscience. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, which is sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands in a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modeling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQs) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon - How to bridge neurobiology and psycholinguistic theory by computational modeling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space - How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning - Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Institute, Centre for Cognition, Radboud University, Nijmegen, the Netherlands. The project is embedded in the Donders Institute’s research theme "Brain Networks and Neuronal Communication" and will be supervised by Prof. Marcel van Gerven. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you We are looking for a highly motivated candidate with a PhD degree in Cognitive Neuroscience, Computational Linguistics, Artificial Intelligence or a related field of research. We expect you to have expertise in the domain of language research, excellent computational skills and Python programming experience, as well as experience with neural data analysis. You will further develop the modeling approaches that are being created within the team and apply these approaches to rich neural datasets to generate new insights about the nature of the mental lexicon. You should have an outstanding scientific track record, excellent organisational, and communication skills, a strong motivation, and high proficiency in written and spoken English. Applications from excellent candidates with a less than ideal profile will also be considered. What we have to offer * employment: 1.0 FTE; * a maximum gross monthly salary of € 4,978 based on a 38-hour working week (salary scale 11); * in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; * term of contract: you will be appointed for an initial period of 12 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 24 months; * UFO job profile: Researcher, Level 3; * the Collective Labour Agreement (CAO) of Dutch Universities is applicable to this position; * Dutch universities and the institute involved have a number of regulations in place that enable employees to create a good work-life balance; * you will be able to make use of our Dual Career Service<http://www.ru.nl/dualcareerservice> where our Dual Career Officer will assist with family related support, such as child care, and help your partner prepare for the local labour market and with finding an occupation. Are you interested in our excellent employment conditions<http://www.ru.nl/english/arbeidsvoorwaarden?kn>? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: Language in Interaction<https://www.languageininteraction.nl/> Further information on: Donders Institute<https://www.ru.nl/donders/> For more information about this vacancy, please contact: Prof. dr. Marcel van Gerven, Principal Investigator Artificial Cognitive Systems, and Telephone: +31 24 365 59 31 E-mail: m.vangerven(a)donders.ru.nl<mailto:m.vangerven@donders.ru.nl> Prof. dr. Peter Hagoort, Programme Director Language in Interaction consortium Telephone: +31 24 361 06 48, +31 24 352 13 01 E-mail: p.hagoort(a)donders.ru.nl<mailto:p.hagoort@donders.ru.nl> Are you interested? You should upload your application (attn. of Prof. dr. M. van Gerven) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): * a cover letter * CV, including a list of publications and the names of at least two persons who can provide references Please apply before 5 May 2019, 23:59 CET. [Apply]<https://www.ru.nl/applyonline?recid=601960&tk=uk>

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PhD in Computational and Mathematical Neuroscience (EPSRC funded, 3.5 yrs, Sept 2019 start)
by James Rankin April 12, 2019

April 12, 2019

*PhD in Computational and Mathematical Biology (EPSRC funded, 3.5 yrs, Sept 2019 start) [re-advertised]* General information & apply (funding is primarily targeted at UK students): http://www.exeter.ac.uk/studying/funding/award/index.php?id=3386 Project description: http://www.exeter.ac.uk/codebox/phdprojects/Tabak-EPSRC-DTP-Project.pdf <http://www.exeter.ac.uk/codebox/phdprojects/Rankin-EPSRC-DTP-Project.pdf> *Closing date 13 May 2019. Interviews will be held at the University of Exeter Streatham Campus during the week of 10 June 2019.* Neurons and endocrine cells generate pulses of electrical activity. The patterns of electrical activity vary from cell-to-cell, and characteristics of these patterns (pulse duration, amplitude, timing) are critical to the function performed by the cell. For instance, electric pulse duration and frequency determines the quantity of hormone released by endocrine cells. Electrical currents are produced by ion channels, which act as non-linear electric conductances. The interactions between these non-linear conductances generate the complex patterns of electrical activity. Thus, the exact activity pattern of a given cell depends in a complex way on the exact distribution, or combination of weightings, of the different ion channels. To understand how different combinations of ion channel weightings result in a given pattern of electrical activity, we use mathematical models based on nonlinear differential equations that describe how the conductances vary with the cell electric potential and how they in turn change this potential. The problem with these models is that a lot of parameters are unknown, including the weightings of each channel. Electrophysiologists can record the electrical activity patterns from individual cells, but they cannot measure all the channel weightings from one cell. The objective of this funded PhD project is to extract information about the weightings from the measured electrical activity. The successful candidate will generate a database of channel weighting combinations and compute the resulting electrical activity pattern associated with each combination. They will then apply machine learning and/or topological data analysis to this database. This will allow them to deduce the relationships between weightings across models that generate electrical activity patterns selected from a subset of the database. By identifying the relationships between channel weightings across a highly heterogeneous population we can pinpoint the rules that regulate electrical activity across heterogeneous populations of cells. These methods will then be applied to existing datasets of electrophysiological recordings from electrically active cells. This project provides a unique opportunity to develop experience in machine learning and to receive training in mathematical modelling of neurons. This work will be done in close collaboration with experimentalists using cutting-edge methods that incorporate modelling and electrical recordings together. The student will therefore be exposed to multidisciplinary teamwork. If they so desire, they will also have the opportunity to learn electrophysiology and generate their own dataset of experimental electrical recordings. Candidates with quantitative backgrounds (mathematics, physics, engineering, computer science) are encouraged to apply to this 3.5 year PhD Scholarship. Programming experience, knowledge of dynamical systems theory and experience in biological modelling are a plus. The successful candidate will also be expected to travel to conferences to present their work. *For further information, please contact Dr Joel Tabak J.Tabak(a)exeter.ac.uk <J.Tabak(a)exeter.ac.uk> and Dr James Rankin j.a.rankin(a)exeter.ac.uk <j.a.rankin(a)exeter.ac.uk>* http://emps.exeter.ac.uk/mathematics/staff/jar226

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