- Comp-neuro - lists.cnsorg.org

PhD position in machine learning and computational neuroscience at the University of Vienna

by Moritz Grosse-Wentrup

Dear all, We have an open doctoral position at the intersection of machine learning and computational neuroscience as part of the Zebrafish Neuroscience Interdisciplinary Training Hub (https://zenith-etn.com/) The goal of the Ph.D. project is to develop multi-level causal models that relate neuronal activity patterns (as measured by Calcium imaging) in Zebrafish larvae to behavior. To get a better idea of how we approach this problem, please take a look at https://www.youtube.com/watch?v=P-U50EO77cU The position is based in the Research Group Neuroinformatics at the Faculty of Computer Science of the University of Vienna (https://ni.cs.univie.ac.at/) All work will be done in close collaboration with other European groups in the ZENITH consortium, e.g., in London and Paris. Depending on how the ongoing pandemic develops, extended stays at collaborating research labs are intended. Salary is according to the Collective Bargaining Agreement for university staff (job group B1 75%, https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch…) We welcome applications from anybody with a Master's degree and an interest in machine learning and computational neuroscience. We particularly welcome applications by women, trans- and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. We will start screening applications on July 1st, though the position will remain open until filled. We would like to fill the post as soon as possible, but a later starting date can be negotiated. Your application should include a brief cover letter, a CV, transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

June 15, 2020

6th International Conference on Mathematical Neuroscience - Second announcement

by Tilo Schwalger

We are delighted to announce the tentative programme of the 6th International Conference on Mathematical Neuroscience (ICMNS 2020) which will take place in a virtual format, via Zoom, on July 6-7, 2020, between 14:00-20:30 (GMT+2). We now have a full list of keynote and sessions speakers, available on the conference website https://www.danieleavitabile.com/icmns2020digital/ Attendance is free but requires registration via the website. We would like to remind you that the call for virtual poster submissions is open until the 21st of June. We will provide the opportunity to discuss with colleagues via a dedicated chat on Slack. Technical details about this and other aspects of the conference will be provided to the registered participants in due course. We look forward to hosting you at ICMNS2020. The Organising Committee Daniele Avitabile Tatiana Engel Tilo Schwalger Wilhelm Stannat -- Tilo Schwalger, PhD Assistant Professor Bernstein Center for Computational Neuroscience, Berlin Philippstr. 13, Haus 6, 10115 Berlin Room: 202, phone: 0049(0)302093 6788 Technische Universität Berlin Institute of Mathematics Straße des 17. Juni 136, 10623 Berlin Room: 726, phone: +49 (0)30 314-22698 http://page.math.tu-berlin.de/~schwalge tilo.schwalger(a)bccn-berlin.de

June 15, 2020

Ph.D. at the University of Potsdam

by GUEVARA ERRA RAMON MARIANO

Dear all, This is about a PhD position to work in Potsdam with Michael Rosenblum (http://www.stat.physik.uni-potsdam.de/~mros/) in physics and neuroscience: Ph.D. position in physics at the University of Potsdam, Germany, to be filled as soon as possible. The successful candidate shall possess a master's degree in physics with specialization in complex systems/nonlinear dynamics and be interested in interdisciplinary research. The project implies cooperation between the Institut of Physics and Astronomy of the University of Potsdam (where the student will be enrolled) and neuroscientists and clinical researchers from Charité – Universitätsmedizin Berlin. The project aims to develop advanced techniques for neurostimulation used to treat Parkinson's disease. >From the physics viewpoint, the research implies theoretical analysis and modeling of the dynamics of large neuronal populations under external stimulation. Exploiting the hypothesis that the pathological brain rhythms emerge due to excessive synchrony within a neuronal ensemble, we will develop feedback-based techniques to control these rhythms. In cooperation with experimentalists from Charité, we will try to translate these techniques into clinical practice. The project is a part of a large cooperative study funded by the German Research Foundation (DFG). The position is for four years; the salary is 65% of the full researcher position (about 43K Brutto, standard conditions for a Ph.D. position in Germany). Michael Rosenblum mgrosenblum(a)gmail.com

June 12, 2020

ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020

by Rava A. da Silveira

*CN**EURO **2020* *Theoretical and Computational Neuroscience Summer School* *17 to 21 August 2020 — Online, hosted by Tsinghua University, Beijing* http://brain.tsinghua.edu.cn/CNeuro *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, theoretical physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. *Course Structure and Curriculum* Each day will include three hours of lectures as well as two hours of discussions among students and faculty, in small groups. Topics will touch upon the biophysics and dynamics of neurons and network, neural coding, models of learning and other cognitive function, as well as machine learning and Bayesian approaches. There will be the possibility for students to work on problem sets and initiate independent projects. *Faculty* Larry Abbott (Columbia University, USA) Rava Azeredo da Silveira (Ecole Normale Supérieure, France) Damon Clark (Yale University, USA) Ralf Haefner (University of Rochester, USA) Yu Hu (HKUST, Hong Kong) Daniel Lee (Cornell University, USA) Sen Song (Tsinghua University, China) Eric Shea-Brown (University of Washington, USA) Louis Tao (Peking University, China) Xiaoqin Wang (Johns Hopkins University, USA) Quan Wen (University of Science and Technology of China) Kechen Zhang (Johns Hopkins University, USA) Douglas Zhou (Shanghai JiaoTong University, China) *Application and deadline* Please submit CV and personal statement at http://brain.tsinghua.edu.cn/CNeuro, by 30 June 2020.

June 8, 2020

Goethe interactive Covid-19 analyzer - free web tool

by Claudius Gros

Hi Everybody Many of us are involved in Covid-19 studies. This is to let you know that we developed a free online analysis tool which allows to compare outbreaks in different countries with a few clicks: https://itp.uni-frankfurt.de/covid-19/ The "Goethe Interactive COVID-19 Analyzer" is free to use, both for private and academic purposes. Functionalities -- arbitrary data rescaling -- shift of onset date -- timeline or daily vs total counts -- export to png image Feel free to share. Claudius ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

June 8, 2020

postdocs with Peter Dayan in Tübingen

by Peter Dayan

Postdoc(s) in Neural Reinforcement Learning / Computational Psychiatry (m/f/d) 100% Peter Dayan is looking to hire one or more postdocs (100%) to work in the areas of neural reinforcement learning, computational neuromodulation, and computational psychiatry. These positions will start in the Faculty of Science, Department of Computer Science, University of Tübingen, as part of an Alexander-von-Humboldt Professorship award. There are also targeted positions on the computational anatomy of cortico-striatal connections (funded by a collaborative NIH grant with Professor Suzanne Haber) and with the International Brain Lab (a large collaboration with 20 other investigators, funded by the Simons Foundation). Peter Dayan has an affiliation with the University of Tübingen and the Max Planck Institute for Biological Cybernetics and collaboration is expected. The salary will be paid in accordance with the collective agreement for the public sector (salary at E13 TV-L, commensurate to experience and qualifications). The positions are available immediately, and are initially limited to two years (with the possibility of extension). Please direct scientific inquiries to dayan(a)tue.mpg.de and administrative inquiries to susan.fischer(a)tue.mpg.de. Responsibilities include: • Planning and carrying out research projects, for instance building theories and computational models of data from human and animal experiments, conducting experiments, analysing behavioural and neural data, writing and editing scientific papers/reports. • Helping to mentor and supervise student projects. • Participating in scientific conferences. • Helping to organize and conduct collaborations in Tübingen as well as nationally and internationally • Helping with building and running an effective academic lab environment at the intersection between the Max Planck Institute for Biological Cybernetics and the science and medical faculties at the University of Tübingen. The successful candidate(s) should have a PhD in computational neuroscience or related fields. Proficiency in a high level mathematical or statistically-oriented programming language such as python, R, Julia or matlab, and intimate familiarity with advanced data analysis are essential. The candidate(s) should be able to work independently and troubleshoot and should show good capacity and value for teamwork and communication skills. The University of Tübingen is one of the Excellence Universities in Germany. It is home to a vibrant research community, with very strong research activity in Neuroscience and Clinical Psychology / Psychiatry as well as Artificial Intelligence and Machine Learning. We offer an open research culture, where original thinking and academic merit are encouraged and nurtured, and encourage applications from all nationalities, backgrounds, and genders. The University of Tübingen is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. Applications should include a CV, a list of publications, summaries of scientific achievements and research plans, the position for which the application is intended, and the names and contact details of three referees. Applications should be sent in a single PDF to: susan.fischer(a)tue.mpg.de Applications arriving before June 30th 2020 will receive full consideration.

June 7, 2020

Post Doc on Data Science and Computational Neuroscience in London

by Dimitris Pinotsis

PostDoc on Data Science and Computational Neuroscience in London The Computational Neuroscience and Psychiatry Lab (www.pinotsislab.com) at University of London—City is looking for a Post Doc with astrong background in data science and/or computational neuroscience. The Lab focuses on developing new algorithms for the analysis ofhuman and animal brain imaging data. These are based on computational models ofneural dynamics and state of the art techniques from Data Science. Particularemphasis is put on applications in computational psychiatry and developingmodels of brain pathology. Also, the Lab develops brain theories that canexplain brain pathology, using theoretical tools from deep neural networks andBayesian brain theories. The lab also performs EEG recordings. The Post Doc shall conduct research in one or more of these areas.He/she will have the opportunity to shape the details of their project based ontheir specific interests. The successful candidate should have a PhD in data science or computationalneuroscience, computer science, engineering, physics or related discipline.Expertise in one or more modern scientific computing programming language(Python, Matlab or R) is essential. The candidate should also have familiaritywith one or both of: i) the analysis of large datasets from human behavioural data, and/or ii) theanalysis of human or animal brainimaging data. For informal inquiries, please email Dr. Dimitris Pinotsis atpinotsis(a)mit.edu

June 6, 2020

2 postdoc positions at CHAIN

by Hideaki Shimazaki

Dear colleagues, Our newly established Center for Human Nature, Artificial Intelligence, and Neuroscience (CHAIN) at Hokkaido University in Japan invites applications for two postdoctoral positions. Selected applicants can choose any of the PIs at the center for collaborative research. The target area includes Computational Neuroscience. The full description and details are available at https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D120051048&ln_jor=1 See also https://www.chain.hokudai.ac.jp/?lang=en The deadline for applications is July 10, 2020. We are also recruiting a faculty member at the assistant professor or lecturer level, as advertised before. For this information, see https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=3&ln=1&id=D120050453&ln_jor=1 All the best, Hideaki --- Hideaki Shimazaki, Ph.D http://goo.gl/viSNG

June 5, 2020

Postdoctoral position in computational neuroscience at Washington University in St. Louis

by Ching, ShiNung

Postdoctoral position in computational neuroscience at Washington University in St. Louis A postdoctoral position is available at Washington University in St. Louis, USA, in the area of normative computational modeling of neural circuits. The position supports an ongoing BRAIN initiative funded project studying the mechanisms of working memory. The overall goal of the project is to synthesize explanatory and predictive computational models of how memory resources are fluidly allocated in the presence of unpredictable, ongoing memory demands. Modeling efforts are paired with ongoing experiments on spatial and object working memory, enabling refinement and validation of developed theory. In addition, the candidate will have the opportunity to participate in several other projects in the area of circuit modeling, neural coding theory and neural engineering. The candidate should have a Ph.D. in engineering, math, computer science, neuroscience or a related field. Relevant areas of prior experience include: dynamical systems, optimization, machine learning, information, control and network theories. Strong computational skills are essential. The position is open and available for a flexible start. Interested applicants can send a CV and a short statement of interests directly to shinung(a)wustl.edu<mailto:shinung@wustl.edu> ShiNung Ching Associate Professor Electrical and Systems Engineering, Biomedical Engineering, Div. of Biology and Biomedical Science Washington University in St. Louis

June 5, 2020

[announcement] Dynamics Days Digital 2020

by desroche

Dear colleagues, It is our pleasure to announce Dynamics Days Digital 2020 (DDD2020), an online event that will take place on *August 24-26, 2020*. DDD2020 is part of Dynamics Days Europe, a series of major international conferences on dynamical systems and applications, which brings together researchers from a wide range of backgrounds including physics, biology, engineering and mathematics. For more information on DDD2020, including registration and abstract submission, please visit https://www.danieleavitabile.com/ddd2020/ <https://www.danieleavitabile.com/ddd2020/> DDD2020 will include plenary talks, invited minisymposia, a limited number of contributed talks, and posters. Confirmed plenary speakers of Dynamics Days Digital include * Albert-László Barabási (Northeastern University, USA) * Nancy Kopell (Boston University, USA) * Corinna Ulcigrai (University of Zürich, Switzerland) In addition to the invited minisymposia, we invite proposals for oral and (virtual) poster contributions submitted through the conference homepage. The abstract submission deadline is *June 28, 2020*. We are looking forward to seeing you online at Dynamics Days Digital 2020! Best wishes from the organising committee, Daniele Avitabile (chair) Peter Ashwin Christian Bick Mathieu Desroches PS: The next in-person Dynamics Days Europe will take place in Nice (France) in summer 2021, please visit https://dynamicsdays2020.univ-cotedazur.fr <https://dynamicsdays2020.univ-cotedazur.fr/> for details.

June 5, 2020