- Comp-neuro - lists.cnsorg.org

Second fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France

by angelo.arleo＠inserm.fr

Second fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop data-analytic and computational modeling tools aiming at the early automated detection of biomarkers and risk assessment for age-related macular degeneration (AMD) and other eye diseases. AMD was ranked by the World Health Organization (WHO) as a priority eye disease, and it is the main cause of blindness in western countries. Despite the prevalence, rate of growth, and impact of AMD, its diagnosis is made too late: 69% AMD patients ignore their condition and 78% have irreversible loss when first diagnosed. The main objective of this doctoral project is to cross-link cellular changes in the deep retina with visual symptoms of AMD patients. The project will combine state-of-the-art live high-resolution retinal imaging using adaptive optics, electroretinogram recordings, and fine metrics of AMD-related functional visual losses in order to discover potential biomarkers of AMD onset and/or stage evolution. This project relies on a tight collaboration between visual neuroscientists and clinical ophthalmologists and it builds on the existing integration of basic vision science expertise at the Vision Institute and clinical research expertise in the Clinical Investigation Center of the Quinze-Vingt National Hospital. Requirements and eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), a keen interest in vision and be open to the possibility of conducting experiments with human patients. The ideal candidate is expected to have a strong expertise in computational models of vision, image analysis and programming (Matlab, C or Python). Previous experience in experimental data analysis and/or machine learning is a plus. Knowledge of French is desired (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Benefits The position corresponds to a full PhD appointment (36 months) with competitive salary and working conditions. It is funded by IHU FOReSight and AVIESAN-UNADEV. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. It includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. How to apply Applications should be sent to Angelo Arleo (angelo.arleo(a)inserm.fr <mailto:angelo.arleo@inserm.fr>) and Denis Sheynikhovich (denis.sheynikhovich(a)sorbonne-universite.fr <mailto:denis.sheynikhovich@sorbonne-universite.fr>). Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

Dec. 12, 2020

Stanford - Postdoctoral Fellowship in Computational Modeling of Cognition and Human Brain Function

by Mai-Phuong K Bo

Please post where appropriate. Thank you. The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in computational modeling of human cognitive, behavioral, and brain imaging data. The candidate will be involved in multidisciplinary projects to develop and implement novel neuro-cognitive computational frameworks, using multiple cutting-edge methods that may include computational cognitive modeling, Bayesian inference, dynamic brain circuit analysis, and deep neural networks. These projects will span areas including robust identification of cognitive and neurobiological signatures of psychiatric and neurological disorders, and neurodevelopmental trajectories. Clinical disorders under investigation include autism, ADHD, anxiety and mood disorders, learning disabilities, and schizophrenia. We seek talented and highly-motivated individuals with a strong background in at least one of these areas: computational, cognitive, and statistical modeling; deep learning algorithms and optimization (theory and practical implementations); statistical modeling and inference/machine learning as applied to cognitive and brain imaging data. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs. Please include a CV and a statement of research interests and have three letters of reference emailed to Prof. Vinod Menon at scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford+postdoc@gmail.com>. Mai-Phuong Bo Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:9a00c2c5-3f75-4d48-8d19-ec6a85fe9a8a]

Dec. 12, 2020

PhD positions in the lab of Rava Azeredo da Silveira in Basel

by Rava A. da Silveira

*Openings for PhD positions in the lab of Rava Azeredo da Silveira * *(Basel)* The lab of Rava Azeredo da Silveira invites applications for *PhD* *positions* at the Institute for Molecular and Clinical Ophthalmology Basel (IOB), an associated institute of the University of Basel. Research questions will be chosen from a broad range of topics in theoretical/computational neuroscience and cognitive science (see the description of the lab’s activity, below). Candidates with backgrounds in mathematics, statistics, artificial intelligence, physics, computer science, engineering, biology, and psychology are welcome. Experience with data analysis and proficiency with numerical methods, in addition to familiarity with neuroscience topics and mathematical and statistical methods, are desirable. Equally desirable are a spirit of intellectual adventure, eagerness, and drive. The positions will come with highly competitive work conditions and salaries. *Application deadline:* We will start reviewing applications on 20 December 2020. *How to apply:* Please send the following information *in one single PDF, to * *silveira(a)iob.ch* <silveira(a)iob.ch>*:* 1. letter on motivation and interests; 2. curriculum vitæ; 3. transcripts of undergraduate and Master grades. In addition, please arrange for three letters of recommendations to be sent to the same email address. In all email correspondence, please include the mention “APPLICATION-PHD” in the subject header, otherwise the application will *not* be considered. *** *The Silveira** Lab* focuses on a range of topics, which, however, are tied together through a central question: How does the brain represent and manipulate information? Among the more concrete approaches to this question, the lab analyses and models neural activity in circuits that can be identified, recorded from, and perturbed experimentally, such as visual neural circuits in the retina and the cortex. Establishing links between physiological specificity and the structure of neural activity yields an understanding of circuits as building blocks of cerebral information processing. On a more abstract level, the lab investigates the representation of information in populations of neurons, from a statistical and algorithmic—rather than mechanistic—point of view, through theories of coding and data analyses. These studies aim at understanding the statistical nature of high-dimensional neural activity in different conditions, and how this serves to encode and process information from the sensory world. In the context of cognitive studies, the lab investigates mental processes such as inference, learning, and decision-making, through both theoretical developments and behavioral experiments. A particular focus is the study of neural constraints and limitations and, further, their impact on mental processes. Neural limitations impinge on the structure and variability of mental representations, which in turn inform the cognitive algorithms that produce behavior. The lab explores the nature of neural limitations, mental representations, and cognitive algorithms, and their interrelations.

Dec. 11, 2020

Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France

by angelo.arleo＠inserm.fr

Fully-funded PhD position at the Vision Institute, Sorbonne University, Paris, France Job description Applications are invited for a 3-year PhD position to develop clinical endpoints of daily-life activity for low vision patients in order to assess visual restoration. The therapeutic benefits of vision restoration are usually evaluated in clinical studies using conventional functional measures such as visual field and contrast sensitivity. However, these tests are not sufficient to characterize the impact of a visual pathology on patients’ quality of life and autonomy. This project will set forth a set of benchmark measures to evaluate a range of daily life functions (locomotion, spatial orientation, posture, balance, reading) in real conditions. The goal is to identify behavioral biomarkers of the benefit of vision restoration solutions (namely optogenetic therapy and retinal implants) in visually impaired patients. The PhD candidate will work hand-in-hand with clinicians of the National Hospital Center for Ophthalmology of the Quinze-Vingts and with researchers of the Vision Institute as well as the Streetlab company. The project will be supervised by Dr. Colas Authié and Dr. Angelo Arleo. Requirements and eligibility criteria Applicants should have a quantitative background (engineering, computer science, physics, applied mathematics), and a keen interest in behavioral neuroscience. The ideal candidate should have expertise in virtual reality, motor control, and biometric data analysis. Experience in low-vision or knowledge on machine learning and programming languages (Matlab, C or Python) are a plus. Knowledge of French is important (but not mandatory). Proficiency in oral and written English is required. Successful candidates are expected to work in an interdisciplinary environment with engineers, neuroscientists, and clinicians. Applicants must be in the first four years of their research career and they must not have lived in France more than 12 months during the last 3 years. Benefits The position is funded by the Marie Curie ITN project ENTRAIN-VISION. It corresponds to a full PhD appointment (36 months) with competitive salary and working conditions, monthly mobility allowance, and family allowance. It also provides continuing education, secondments in the private sector, training modules, and transferable skills courses. Working environment The Vision Institute is one of the top international centers for integrated research on vision and eye diseases. It is located at the heart of Paris, on the campus of the National Hospital Center for Ophthalmology of the Quinze-Vingts. It includes multidisciplinary research laboratories, which share state-of-the-art platforms for human and animal experimentation. It also harbors a Clinical Investigation Center, which fosters translational research. The Streetlab provides a panel of platforms (reproducing virtual and real environments) and standardized evaluation solutions to measure autonomy, mobility, and quality of life of visually impaired people. How to apply Applications should be sent to recruitment(a)entrain-vision.eu <mailto:recruitment@entrain-vision.eu> by January 11th, 2021, 1PM CET (Paris time). Please see https://euraxess.ec.europa.eu/jobs/585147 <https://euraxess.ec.europa.eu/jobs/585147> for details about eligibility criteria and application guidelines. For further inquiries, please contact Angelo Arleo (angelo.arleo(a)inserm.fr <mailto:angelo.arleo@inserm.fr>) and Colas Authié (colas.authie(a)streetlab-vision.com <mailto:colas.authie@streetlab-vision.com>). ***************************************************************** Angelo ARLEO FONTAINE, PhD Director of Research CNRS Head of the Aging in Vision and Action Lab, Director of the Chair Silversight, Institute of Vision, CNRS - INSERM - Sorbonne University, 17, rue Moreau F-75012 Paris, France Phone: +33 (0)1 53 46 26 52 Mobile: +33 (0)6 46 84 09 56 Email: angelo.arleo(a)inserm.fr Website: www.aging-vision-action.fr

Dec. 11, 2020

Tier II Canada Research Chair in Complex Neural Systems Modelling at the University of Calgary

by Volker Steuber

The University of Calgary invites applications from emerging leaders in the area of Complex Neural System Modelling for a Tier II Canada Research Chair position in the Faculty of Science at the University of Calgary. For more information and to apply: https://science.careers.ucalgary.ca/jobs/5915163-canada-research-chair-tier… Volker Steuber Professor of Computational Neuroscience Biocomputation Research Group School of Physics, Engineering and Computer Science University of Hertfordshire College Lane, Hatfield, AL10 9AB, UK +44 (0)1707 284350 biocomputation.herts.ac.uk<http://biocomputation.herts.ac.uk>

Dec. 10, 2020

Open Rank Faculty Position in Applied Mathematics at Harvard University

by Cengiz Pehlevan

Dear colleagues, I would like to attract your attentions to an open rank faculty position in Applied Mathematics at Harvard University. We welcome candidates in any area of applied mathematics broadly defined, including interfaces with neuroscience. Details can be found in here: http://academicpositions.harvard.edu/postings/9893 <http://academicpositions.harvard.edu/postings/9893> Best wishes, Cengiz — Cengiz Pehlevan SEAS, Harvard University, pehlevan.seas.harvard.edu <http://pehlevan.seas.harvard.edu/>

Dec. 10, 2020

Fully funded doctoral position at Ecole Normale Superieure and CentraleSupelec Paris in AI/Cognitive Computational Neuroscience/Quantitative Finance from fall 2021

by boris gutkin

Fully funded doctoral position in multi-agent modelling of financial markets and cognitive computational neuroscience. Laboratory for Cognitive and Computational Neuroscience at the Ecole Normale Superieure Paris and the Chair for Quantitative Finance at CentraleSupelec are looking for exceptional candidates to work on a doctorate as a part of a collaborative project spanning development of multi-agent models of stock markets (e.g. see Lussange et al 2020, Bavard et al 2018, da Gamma Battista 2017) and the effects of human cognitive traits and bounded rationality on the market dynamics. The candidate will be physically based at ENS. The student will be advised by Damien Challet (Chair for Quantative Finance, CentraleSupelec) and Boris Gutkin (Mathematics of Neural Circuits Team, LNC2, ENS) and collaborate closely with Stefano Palminteri (Human Reinforcement Learning Team, LNC2, ENS). The student will have an opportunity to be involved in all aspects of the project, from computational modelling to behavioral experiments to data mining. Industrial applications of the project outcomes can also be explored as well as a potential collaboration with Capital Fund Management, Paris. More information can be found at: https://psl.eu/recherche/grands-projets-de-recherche/projets-europeens/prog… <https://psl.eu/recherche/grands-projets-de-recherche/projets-europeens/prog…> https://euraxess.ec.europa.eu/jobs/580403 <https://euraxess.ec.europa.eu/jobs/580403> Start expected in fall 2021. Elibigibility: Master’s degree or equivalent in a quantitative discipline. There is no nationality or age criteria, but applicants must not have resided or carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the deadline of the call Interested candidates should contact boris.gutkin(a)ens.fr <mailto:boris.gutkin@ens.fr> before January 30 to discuss their application to the program Bavard S, *Lebreton M, Khamassi M, Coricelli G, Palminteri S. Reference-point centering and range-adaptation enhance human reinforcement learning at the cost of irrational preferences <https://www.google.com/url?q=https%3A%2F%2Fwww.nature.com%2Farticles%2Fs414…>. Nature Communications (2018). da Gama Batista, Joao, Domenico Massaro, Jean-Philippe Bouchaud, Damien Challet, and Cars Hommes. "Do investors trade too much? A laboratory experiment." Journal of Economic Behavior & Organization 140 (2017): 18-34. Lussange, J., Lazarevich, I., Bourgeois-Gironde, S., Palminteri, S., Gutkin, B. (2020) Modelling Stock Markets by Multi-agent Reinforcement Learning. Comput Econ. https://doi.org/10.1007/s10614-020-10038- <https://doi.org/10.1007/s10614-020-10038->w

Dec. 10, 2020

Postdoctoral position in theoretical neuroscience at System Neuroscience Institute, Marseilles, France

by Christophe Bernard

Hi, Would you be so kind as to post this postdoc offer? thanks The lab of Christophe Bernard at INS (Institut de Neuroscience des Systèmes, Marseille, France) and the lab of Demian Battaglia at INS / USIAS (Strasbourg) is looking for a postdoctoral scholar working at the interface between theoretical and experimental neuroscience. Circadian rhythms drive all organ functions, including the brain. Although we know that the molecular architecture and the cognitive performance of the brain change during the night and day cycle, what happens at the neuronal scale remains unknown. The project seeks to explore how information processing and brain dynamics change in a circadian manner in health and disease (epilepsy). The project builds upon recent findings from the lab: Clawson et al., Science Adv, 2019, Pedreschi et al., Netw Neurosci 2020 and Debski et al., Science Adv, 2020. The ideal candidate will have a background in theoretical physics (statistical or nonlinear physics) or theoretical computer science, familiar with information theory concepts. Previous experience in the analysis of large neuroscience datasets (e.g. multichannel recordings, unit or LFP data...) or the modelling of spiking neural circuits is a plus. The candidate will work with researchers performing in vivo recordings in control and epileptic animals and the Theoretical Neuroscience Group at INS (D. Battaglia, V. Jirsa). Interactions with clinicians are encouraged. If requested, the candidate will be offered the possibility to learn in vivo electrophysiology. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. The maximum duration is three years. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christophe.bernard(a)inserm.fr <http://inserm.fr/> and demian.battaglia(a)univ-amu.fr <mailto:demian.battaglia@univ-amu.fr> Christophe Why you should submit your best science to eNeuro: https://www.eneuro.org/content/overview <https://www.eneuro.org/content/overview> Christophe Bernard INS - Institut de Neurosciences des Systèmes UMR INSERM 1106, Aix-Marseille Université Equipe Physionet 27 Bd Jean Moulin 13385 Marseille Cedex 05 France christophe.bernard(a)univ-amu.fr +33 4 91 32 42 49 https://ins-amu.fr/physionet <https://ins-amu.fr/physionet>

Dec. 9, 2020

Computational Neuroscience / Machine Learning Group Leader Call 2020 - Champalimaud Research

by Christian Machens

CR Computational Neuroscience / Machine Learning Group Leader Call 2020 The Champalimaud Foundation (CF) invites applications for Group Leaders to join a dynamic and highly collaborative international research institute in Lisbon, Portugal. Champalimaud Research (CR) is seeking to expand its Neuroscience Programme (CNP) with one Junior Group Leader (Assistant Professor equivalent). About you We welcome applicants with expertise in modern Machine Learning and Artificial Intelligence. Suitable research areas for the recruited applicant include statistical methods for complex, high-dimensional datasets, artificial neural networks, computer vision, reinforcement learning, and control theory. We will consider candidates that work on foundational issues in these fields, as well as candidates who take more applied approaches. The ideal candidate should present a research program with both fundamental research and applied elements, and have a strong desire to collaborate with existing teams within CR and CF, including the Champalimaud Clinical Centre. Special attention will be given to applications of individuals from underrepresented groups. About the position To promote risk-taking research, generous support for salary, start-up and annual running costs will be provided. Researchers will be based at the Champalimaud Centre for the Unknown (CCU), a highly interactive and innovative scientific environment where the Neuroscience Programme is composed of groups applying a range of theoretical and experimental approaches to understand the algorithmic, physiological and circuit mechanisms of behaviour. Researchers routinely collect rich datasets ripe for development and application of new analysis tools or comparison with theory. These datasets include high dimensional neurophysiological and imaging data, to -omics, and various measures of behaviour. About us The Champalimaud Centre for the Unknown is situated on the waterfront in Lisbon. English is the official language of the Centre. Lisbon has a sunny Atlantic-Mediterranean climate, vibrant culture, international schools, convenient housing options and is considered one of the world’s safest cities. About the application Applications should include a (1) detailed scientific curriculum vitae, which may include any mentoring, outreach, or policy experiences, (2) a brief summary of past accomplishments (max. two pages), (3) a description of future research plans (max. four pages), (4) three key publications (pdf-files preferred, preprints welcome) along with (5) brief (~200 word each) descriptions of their significance, and (6) contact details for three individuals who can provide recommendation letters upon request. Applications or informal inquiries should be addressed to careers(a)research.fchampalimaud.org <mailto:careers@research.fchampalimaud.org> with the subject “Neuro GL Call 2020 – YOUR LAST NAME”. The deadline for the applications is February 28, 2021 and review of applications will begin in March, 2021. Non-discrimination and equal access policy The Champalimaud Foundation actively promotes non-discrimination and equal access, so that no candidate may be privileged, favored, prejudiced or deprived of any right or excluded from any duty on the basis of age, sex, gender identity, sexual orientation, race/ethnicity, disability, chronic illness, language, nationality, territory of origin, family status (marital, pregnancy and maternity, having or not having dependents), socioeconomic situation, education, religion, political or ideological beliefs, trade union membership, or on any other grounds which are not deemed relevant for the performance of the duties associated with the advertised position.

Dec. 8, 2020

"Deep Dive Into ERPs Technique" Online Course

by Mary

Dear Researchers, Science Beam team would like to take the opportunity to invite you for “Deep Dive Into ERPs Technique” Online Course to be held on January-February 2021. This is going to be a 7-session course which is coming after the “Introduction to ERPs and ERPLAB” WEBINAR. If you haven’t taken part in the mentioned webinar, you can watch it now by clicking on the link below: https://sciencebeam.com/erplab-webinar/ In this course you will learn: • Dynamics of ERPs • Design of experiments • ERP components • Artifacts • Pre-processing steps • Principles of ERP recording • Quantifying ERP amplitude and latency The course will involve a combination of lectures, discussions, and laboratory activities. An integrated set of lectures on the fundamentals of ERPs will be given by the instructor. For more information and registering please visit the link below: https://sciencebeam.com/pragati-gupta-course/ If you need more information please don’t hesitate to contact me. workshop(a)sciencebeam.com WhatsAppNo: 008613380781282 Mary Rezaee Human Neuroscience Department Manager International Affairs Rep. www.ScienceBeam.com

Dec. 7, 2020

PhD studentship in Computational Neuroscience, University of Warwick, UK

by Timofeeva, Yulia

PhD studentship in Computational Neuroscience in Computer Science Centre for Doctoral Training, Department of Computer Science, University of Warwick, UK We are seeking a PhD candidate to join a research programme, led by Prof Yulia Timofeeva in collaboration with Prof Kirill Volynski (UCL Queen Square Institute of Neurology, London), that aims to develop and implement a computational modelling framework for studying regulation of synaptic transmitter release in health and disease. The programme runs in collaboration with a number of world-leading experimental laboratories working in the field of synaptic transmission and information processing in the brain. The successful candidate should have background in applied mathematics/theoretical physics/computer science or related discipline and should have solid computational skills. Relevant references: Ermolyuk et al., Nature Neuroscience, 16, 2013; Timofeeva and Volynski, Frontiers in Cellular Neuroscience 9:239, 2015; Chamberland et al., PNAS, 115 (28), 2018. Scholarship eligibility: Home/EU Deadline: 31 January 2021 For further details please contact Prof Yulia Timofeeva (y.timofeeva(a)warwick.ac.uk) Centre for Doctoral Training and Research in Computer Science: https://warwick.ac.uk/fac/sci/dcs/research/doctoralstudies/cdtcs/ Apply via Postgraduate Admissions website mentioning this project in your application: https://warwick.ac.uk/study/postgraduate/apply/research -- __________________________________________ Professor Yulia Timofeeva Department of Computer Science and Centre for Complexity Science Warwick, UK Honorary Associate Professor UCL, Institute of Neurology London, UK Tel: 024 765 73786 http://www.dcs.warwick.ac.uk/~yulia/ __________________________________________

Dec. 5, 2020

Tenure-Track Assistant Professor in Applied Mathematics, Fall 2021, Brandeis University

by Catherine Broderick

BRANDEIS UNIVERSITY Department of Mathematics invites applications for a tenure-track position in applied mathematics at the rank of assistant professor beginning Fall 2021. Candidates must have a Ph.D. in mathematics or a related field, demonstrate potential for excellence in research, and display a commitment to teaching. An ideal candidate will be expected to help to build an applied mathematics program within the department, and to interact with the broader student, staff, and faculty, including other science faculty at Brandeis. Candidates from all areas of applied mathematics will be considered. First consideration will be given to applications received by December 31, 2020. A research-intensive liberal arts university, Brandeis fosters highly collaborative science both within and between departments.The suburban campus in Waltham, MA is just 20 minutes from the bustling academic and biotechnology centers of Boston and Cambridge. At Brandeis, we believe that diversity, equity, and inclusion are essential components of academic excellence. Because diversity, equity, and inclusion are at the core of Brandeis’ history and mission, we value and are seeking candidates with a variety of social identities, including those that have been underrepresented in higher education, who possess skills that spark innovation, and who, through their scholarly pursuits, teaching, and/or service experiences, bring expertise in building, engaging, and sustaining a pluralistic, unified, and just campus community. Brandeis University is an Equal Opportunity/Affirmative Action employer that does not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, national origin, age, marital status,disability or veteran status. Applications should include an AMS cover sheet, cover letter, a curriculum vitae including a publications list, research, teaching and diversity statements, and four letters of recommendation, one of which addresses teaching effectiveness. Applications should be submitted through MathJobs.org. (This position is pending budgetary approval).

Dec. 4, 2020

Technical editor / European Research Infrastructures for Neuroscience

by Hans Ekkehard Plesser

Dear colleagues, The Computational Neuroscience Group at the Norwegian University of Life Sciences (www.nmbu.no<http://www.nmbu.no/>) aims to recruit a technical editor in a senior engineer position. The position is part of our contribution to the Human Brain Project (www.humanbrainproject.eu<http://www.humanbrainproject.eu/>) in building the European EBRAINS research infrastructures for neuroscience. This full-time position is available immediately and limited until 31 March 2023. As technical editor, you will be part of the EBRAINS High-Level Service Team and be responsible for coordinating and supervising the production and provision of documentation and tutorial materials for EBRAINS service offerings with the pertaining EBRAINS partners. We are looking for applicants with a master's, preferably a doctoral, degree in a STEM discipline, ideally with experience in technical writing, documentation generation systems, and neuroscience. Closing date for applications is 4 January 2021. For more information about the position and to submit your application, please see https://www.jobbnorge.no/en/available-jobs/job/196909/technical-editor-seni… Please contact Prof Hans Ekkehard Plesser (hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no>) if you have any questions concerning the position. Best regards, Hans Ekkehard -- Prof. Dr. Hans Ekkehard Plesser Head, Department of Data Science 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<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

Dec. 3, 2020

Focus on Criticality and Complexity in Brain Dynamics

by Claudius Gros

Dear colleagues Together with Dante Chialvo, we are editing a Focus on Criticality and Complexity in Brain Dynamics Journal of Physics: Complexity Deadline 30 April 2021 https://iopscience.iop.org/journal/2632-072X/page/Focus_on_Criticality_and_… Among others, we especially interested in compact perspectives, e.g. on -- experimental and theoretical methodology -- 'critical' assessments of underlying concepts -- controversial viewpoints -- . . . We hope that the focus on brain criticality and complexity will be a place to assess where the field stands and where the fields needs to go. Please do not hesitate to contact us for any further information. We are looking forward to your contribution! Claudius Gros -- ### ### 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 ###

Dec. 3, 2020

two postdoctoral positions in mathematical neuroscience at Penn State

by Itskov, Vladimir

Dear colleagues, Two postdoctoral positions in mathematical neuroscience are available at the Mathematics Department of Penn State University. The postdoctoral researchers will be working on two separate projects: (1) understanding the neural coding and geometry of the olfactory representations, and (2) modeling and analysis of zebrafish data. Both projects will involve research in the area of applied topology, neural networks and neural coding, spanning theory and applications. Applicants with a background in topology, algebra, combinatorics, geometry, or dynamical systems are encouraged to apply. A Ph.D. in mathematics or a closely-related field is required. Applicants should submit their materials via mathjobs site: https://www.mathjobs.org/jobs?joblist-134-16862 The start date is flexible. The review of applications will begin on December 2nd and continue until the position is filled. Please contact the PIs, Carina Curto (ccurto(a)psu.edu) and Vladimir Itskov (vladimir.itskov(a)psu.edu) for more details. Best, Vladimir Itskov

Dec. 3, 2020

Scientific Project Manager position at Jülich Supercomputing Centre, Germany

by Abigail Morrison

Dear Colleagues, We have a position open for a Scientific Project Manager - European Research Infrastructures for Neuroscience at the Jülich Supercomputing Centre, Jülich Research Centre, Germany. The successful candidate will be part of a small team that manages the Interactive Computing E-Infrastructure (ICEI) project and the EBRAINS Computing Services work package of the Human Brain Project. For a full description and details of how to apply, please see the announcement on our website: https://www.fz-juelich.de/SharedDocs/Stellenangebote/_common/dna/2020-387-E… Closing date: 10 December 2020 All the best, Abigail Morrison -- Prof. Dr. Abigail Morrison IAS-6 / INM-6 / SimLab Neuroscience Jülich Research Center & Computer Science 3 - Software Engineering RWTH Aachen http://www.fz-juelich.de/inm/inm-6 http://www.fz-juelich.de/ias/jsc/slns http://www.se-rwth.de Office: +49 2461 61-9805 Fax # : +49 2461 61-9460 ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Volker Rieke Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

Dec. 2, 2020

PhD position in Göttingen: Deep learning in the retina

by Ecker, Alexander

PhD position in Göttingen, Germany: Deep neural network models to understand information processing in the retina A PhD position is available in the lab of Alexander Ecker at the University of Göttingen, Germany. Our group studies visual information processing in biological and artificial neural networks and works closely with experimental neuroscientists. At the interface of machine learning and computational neuroscience, we develop new methods and algorithms to make sense of large-scale neuroscience data and work on novel approaches to computer vision. We are looking for a highly motivated PhD student with a strong interest in developing deep learning tools for neuroscience and working closely with experimental neuroscientists. The ideal candidate has a background in computer science, mathematics or physics and experience with machine learning and deep neural networks. Prior experience in neuroscience is a plus, but not required. The project is part of the newly established Collaborative Research Center “Mathematics of Experiment” (https://www.uni-goettingen.de/en/628179.html<http://goettingen.de/en/628179.html>) and will be a collaboration with the lab of Tim Gollisch (University Medical Center Göttingen). The goal of the project is to record spiking activity from the retina under various visual stimuli (including natural stimuli) and study the signal processing in the inner retina with modern data science methods, including convolutional neural networks and deep learning. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the University, the University Medical Center, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Campus Institute Data Science (http://uni-goettingen.de/cidas) and the Bernstein Center for Computational Neuroscience Göttingen (https://www.uni-goettingen.de/en/615355.html) For more information about the research group, please visit our website: https://eckerlab.org. The position is for three years, with a possibility for extension. Please send your application to Alexander Ecker (ecker(a)cs.uni-goettingen.de<mailto:ecker@cs.uni-goettingen.de>) including a CV, a statement of what interests you in science and in the work of our research group, and contact details for two references. The University of Göttingen is an equal opportunity employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Alexander Ecker Professor of Data Science Department of Computer Science • Campus Institute Data Science University of Göttingen • Goldschmidtstr. 1 • room 2.137 • 37077 Göttingen https://eckerlab.org • @alxecker • +49 551 39-21272

Dec. 2, 2020

Deadline of Neural Engineering NER2021 call for papers EXTENDED

by Alberto Mazzoni

Dear friends, The deadline for the submission of 4-page papers to our bi-annual IEEEembs conference on Neural Engineering NER2021 is postponed to Dec 10th! One page paper deadline is Feb 19th. NER is the world’s gathering place for biomedical engineers, neuroscientists, and clinicians to share research and to exchange ideas and breakthrough advances in novel engineering tools for elucidating brain function and neuro technologies for the restoration and enhancement of impaired sensory, motor, and cognitive functions. The conference program will feature keynote speakers, invited talks, mini-symposia, and poster sessions. Please note that there will be a Special Session on Computer Models in Neuroengineering. All papers will be peer reviewed. All accepted one page and four page papers will appear in the Conference Program. Only four page papers will have the opportunity to be published in IEEE XPlore.Please submit yourpapers on #neurotechnology #bionics #robotics #prosthetics #neuroscience#machinelearning and more Information and complete call for papers available here: https://neuro.embs.org/2021/ Thanks, best and see you there! Alberto Mazzoni www.santannapisa.it/en/computational-neuroengineering-laboratory

Dec. 1, 2020

PhD position in Göttingen: Combining retina recordings and artificial neural networks

by Gollisch, Tim

PhD position in Göttingen: Combining retina recordings and artificial neural networks A PhD position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The group studies information processing and neural coding in the neural network of the vertebrate retina, using a combination of electrophysiological and computational approaches. Experimental methods include extracellular multielectrode-array recordings from neurons in the isolated retina (mouse and salamander), using both wild-type retinas and optogenetic retina models of vision restoration therapy. The focus of the group is to combine these experiments with novel tools for data analysis and mathematical modeling. We are looking for a highly motivated PhD student with a strong interest in combining experimental electrophysiology, computational neuroscience, and analysis of artificial neural networks. Experience in computer programming is a plus. The project is part of the newly established Collaborative Research Center "Mathematics of Experiment" (https://www.uni-goettingen.de/en/628179.html) and will be a collaboration with the lab of Prof. Alexander Ecker (University of Göttingen, Institute of Computer Science). The goal of the project is to record spiking activity from the retina under various visual stimuli (including natural stimuli) and analyze the retinal signal processing with modern data science methods, including convolutional neural networks and deep learning. Our research group if part of the strong and lively neuroscience research community of Göttingen, including the University, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen (https://www.uni-goettingen.de/en/615355.html) and of the Collaborative Research Center "Cellular Mechanisms of Sensory Processing" (http://sfb889.uni-goettingen.de/) For more information about the research group, please visit the group's website: https://www.retina.uni-goettingen.de/. The position is for 3 years, with a possibility for extension. Please send your application to Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>), including a CV, a statement of what interests you in science and in the work of our research group, and contact details for two references. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. -- Prof. Dr. Tim Gollisch University Medical Center Goettingen, Dept. of Ophthalmology Waldweg 33, 37073 Goettingen Tel. +49 (0)551 39-13542 tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de> www.retina.uni-goettingen.de<http://www.retina.uni-goettingen.de>

Dec. 1, 2020

GEM 2021 - Call for papers - deadline today

by Vinita Samarasinghe

The deadline to submit abstracts for the GEM 2021 workshop is today at 11:59 PM (+1 GMT). Please visit https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021> to submit your abstracts for both the main workshop and the PhD Symposium. *GEM 2021 - Generative Episodic Memory: Interdisciplinary perspectives from psychology, neuroscience and philosophy* https://for2812.rub.de/gem2021 <https://for2812.rub.de/gem2021> 16-18 February 2021 The workshop will take place in virtual space and is free of charge. Abstracts for both the workshop and the PhD symposium, which will precede the workshop, are now being accepted via EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021> Keynote Speakers: Karl-Heinz Bäuml - University Regensburg, Germany Dorthe Berntsen - Aarhus University, Denmark Amy Criss - Syracuse University, USA Dorothea Debus - University of Konstanz, Germany David Huber - University of Massachusetts, USA Sarah Robins - University of Kansas, USA Call for papers The DFG-funded research consortium “FOR 2812 – Constructing scenarios of the past” https://for2812.rub.de <https://for2812.rub.de> is proud to announce a call for papers for its first workshop on generative episodic memory. We invite submissions for talks and posters https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Episodic memories are widely regarded as memories of personally experienced events. Early concepts about episodic memory were based on the storage model, according to which experiential content is preserved in memory and later retrieved. However, overwhelming empirical evidence suggests that the content of episodic memory is – at least to a certain degree – constructed in the act of remembering. Even though very few contemporary researchers would oppose this view of episodic memory as a generative process, it has not become the standard paradigm of empirical memory research. This is particularly true for studies of the neural correlates of episodic memory. Further hindering progress are large conceptual differences regarding episodic memory across different fields, such as neuroscience, philosophy, and psychology. This interdisciplinary workshop therefore aims to bring together researchers from all relevant fields to advance the state of the art in the research on generative episodic memory. FOR 2812 “Constructing scenarios of the past: A new framework in episodic memory” consists of 9 researchers. Seven from the Ruhr University Bochum and two from the University of Münster. The consortium adopts an interdisciplinary approach and investigates generative episodic memory from a conceptual, modeling, and experimental perspective using a common conceptual framework: scenario construction. Paper submission deadlines [GMT +1 (CET)]: Abstract submission - 30.11.2020 Notification of acceptance - 31.12.2020 Submission guidelines: Abstracts must be submitted in English and be no longer than 1 page. Submitted work must be original and unpublished. Abstracts must be submitted electronically through the GEM 2021 paper submission site on EasyChair https://easychair.org/cfp/gem2021 <https://easychair.org/cfp/gem2021>. Authors will receive confirmation of receipt of their abstracts including an ID number after submission. You can edit your submission at any time before the deadline. We will consider only the final version. Program committee: Nikolai Axmacher - Faculty of Psychology - Ruhr University Bochum Sen Cheng - Institute for Neural Computation - Ruhr University Bochum Gerald Echterhoff - Faculty of Psychology - University of Münster Albert Newen - Faculty of Philosophy - Ruhr University Bochum Ricarda Schubotz - Faculty of Psychology - University of Münster Markus Werning - Faculty of Philosophy - Ruhr University Bochum Laurenz Wiskott - Institute for Neural Computation - Ruhr University Bochum Oliver Wolf - Faculty of Psychology - Ruhr University Bochum All questions regarding the workshop should be emailed to for2812(a)rub.de <mailto:for2812@rub.de> Coordinator - Vinita Samarasinghe Secretary - Christiane Dahl Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Postfachnummer 110 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27996 Email:samarasinghe@ini.rub.de

Nov. 30, 2020

[jobs] Postdoc and internship position at AI Lab, Novaquark, Montreal (possibility for remote work)

by Pierre-Yves Oudeyer

Novaquark AI Lab, Postdoc or PhD-level internship open position Title: Intention modeling and joint attention for deep reinforcement learning agents interacting with non-expert caretakers Supervision: Jean-Christophe Baillie Team: Novaquark AI Lab, Montréal Duration: 12-36 months for postdocs, 6 months for PhD-level internships, starting early 2021. Location: in Montréal Lab, or in remote. Keywords: Deep reinforcement learning; language grounding; artificial curiosity; developmental AI; joint attention Details: https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view <https://drive.google.com/file/d/1kJl851ciJj9lOU0gZ66zjkiMRLgvSgNZ/view> How to apply: contact ailab(a)novaquark.com with a CV and letter of motivation.

Nov. 26, 2020

NEUROTECH Webinar: What are the hardware opportunities for neuromorphic engineering?

by Elisa Donati

We are back with the second NEUROTECH educational webinar on Neuromorphic Computing Technologies! We will have one hour of educational material followed by a panel discussion on the open challenges in the field. Please see below the details and please spread the word! ----- At the second webinar, Prof. Johannes Schemmel, Prof. Jennifer Olson Hasler, Dr. Elisa Vianello and Dr. Bert Jan Offrein will be answering the question “What are the hardware opportunities for neuromorphic engineering?”. Join us on the 1st of December at 16:00 CET. Sign up here for free: https://neurotech.iniforum.ch/educational/ <https://neurotech.iniforum.ch/educational/> ------------------------------------------------------------------------ About NEUROTECH: Our mission is to catalyse research and collaboration in NCT. Today's neuromorphic community in Europe is leading the state of the art in this domain. The community counts an increasing number of labs that work on theory, modelling, and implementation of neuromorphic computing systems. The NEUROTECH Project will create a Cartography of NCT in Europe, explore Roadmaps for its development, collect educational and information resources on NCT, and inform about upcoming and previous events. https://neurotech.iniforum.ch <https://neurotech.iniforum.ch/> NEUROTECH Educational Webinar: As part of the NEUROTECH project, the Educational Team is organizing a webinar series on neuromorphic computing technologies. The objective is to collect educational material about the field but also hold discussions with the experts about how the field started, how it evolved, where it’s going and how it’s going to shape the future industrial landscape. Follow us on LinkedIn: NEUROTECHAI and Twitter: JoinNeurotech ————————————————————————— Elisa Donati, PhD Research Fellow Institute of Neuroinformatics University of Zurich and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch, eldonati(a)ethz.ch Phone: +41 0446353061 Website: www.ini.uzh.ch/people/elisa

Nov. 25, 2020

Open positions in Computational Neuroscience and ML (Denmark / UK)

by Diego Vidaurre

Dear all, Apologies for cross-posting. Funded by an ERC grant, I have two open postdoc positions in my lab in Aarhus University in collaboration with Oxford University, to develop new methods on machine learning and Bayesian time series modelling, with application to specific problems in computational neuroscience. The deadline is on the 30th of May. The positions are initially for 1y, but the idea is to offer longer funding, for up to 5y. https://health.au.dk/en/about-health/vacant-positions/job/postdoc-in-integr… Many thanks d

Nov. 25, 2020

CFP: FLAIRS 2021 Special Track Neural Nets and Datamining, May 16-19, N Miami Beach, FL

by David B

Covid Update: FLAIRS will virtualize some or all of the conference,as necessary. FLAIRS is an interdisciplinary conference featuring a double-blind review and free tutorials, sponsored by the Association for the Advancement of Artificial Intelligence (AAAI) www.FLAIRS-34.info May 16-19, 2021 DoubleTree Ocean Point Resort & Spa, North Miami Beach, Florida, USA Paper submission deadline: February 16, 2021 This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Who might be interested? Papers and contributions are encouraged for any work related to Neural Networks and Data Mining. What kind of studies will be of interest? This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to): 1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy LogicApplications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 4. Feature extraction and selection. 5. Post-processing techniques such as visualization, summarization, or trending. 6. Preprocessing and data reduction. 7. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged. Track Co-Chairs: David Bisant, Central Security Svcs, bisant(a)umbc.edu Steven Gutstein, Army Research Laboratory, s.m.gutstein(a)gmail.com William Eberle, Tennessee Tech University, weberle(a)tntech.edu Submission Instructions Submitted papers must be original, and not submitted concurrently to a journal or another conference. Full oral presentation papers may be up to 6 pages, short poster presentation papers up to 4 pages, and abstract only poster presentations up to 250 words. Submissions for special tracks, workshops, tutorials, and discussion panels are also welcome. Papers must be in AAAI format, and submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site http://www.flairs-34.info/. The proceedings of FLAIRS-34 will be published by Florida Online Journals (https://journals.flvc.org/) In order for a paper to be published in the proceedings, the paper must be accompanied by at least one AUTHOR REGISTRATION. It is also expected that for a full (i.e., maximum 6-page) paper, at least one of the authors will attend the conference to present their work. In order for a poster to be presented at the conference, it must also be accompanied by an AUTHOR REGISTRATION. Organization Conference Chair: Keith Brawner, Army Research Lab, USA Roman Barták, Charles University, Czech Republic Program Co-Chairs: Eric Bell, USA Fazel Keshtkar, St John’s University, USA

Nov. 24, 2020

Closed-Loop Deep Learning with Robotics, NECO Vol 32, No 11

by Sama Daryanavard (PGR)

Dear Colleagues, In our paper we present Closed-Loop Deep Learning which combines the power of deep learning and classical control to create an efficient analogue multi-layered fast learning paradigm, for robotic navigation. At the heart of this algorithm is an error signal that arises from a reflex which is delicately used to both drive the closed loop system and train the deep learner simultaneously. Through mathematical derivation in z-space we show how to implement back-propagation in a closed-loop system. Preprint: https://arxiv.org/abs/2001.02970 Neural Computation (final version): https://www.mitpressjournals.org/doi/abs/10.1162/neco_a_01317?journalCode=n… Please do not hesitate to get in touch for a copy of the paper and to discuss your thoughts. Warmest Regards, Sama Daryanavard Dr Bernd Porr Biomedical Engineering Division, School of Engineering, University of Glasgow, Glasgow G12 8QQ, U.K.

Nov. 23, 2020

PhD programs in computational and theoretical neuroscience at the University of Washington

by Adrienne L Fairhall

Looking for PhD opportunities? Join the vibrant, collaborative theoretical/computational neuroscience community at University of Washington in Seattle! Research areas span the full spectrum of scales, mechanisms, and functions of the brain — from the cellular biophysics of computation to brainwide models of neural processing and cognition to next-generation brain/computer interfaces. The Computational Neuroscience Center <https://cneuro-web01.s.uw.edu>, directed by Adrienne Fairhall and Eric Shea-Brown, is a hub for research in mathematical and computational neuroscience, connecting researchers at the University of Washington across campus and to the extended neuroscience community in the Pacific Northwest including the Allen Institute <https://alleninstitute.org/what-we-do/brain-science/>. UW is home to the Center for Neurotechnology <http://www.csne-erc.org/>, a leader in BCI technologies and neuroethics, and a member of the Weill Neurohub <https://www.weillneurohub.org/>, which collaboratively links UW with researchers with the neuroscience communities at UCSF and UC Berkeley. Specialized training is available in data science through the eScience Institute <https://escience.washington.edu>. Please visit our webpage <https://cneuro-web01.s.uw.edu> to learn more about faculty research interests and our wide range of community activities. The neuroscience community at UW is interdisciplinary, and students have the freedom to work across departments. Programs of interest to students wishing to study computational neuroscience include (w/ computational faculty in bold): NEUROSCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=76>(Deadline Nov. 30): faculty include Nick Steinmetz, Wyeth Bair, Anitha Pasupathy, Beth Buffalo, Bing Brunton, Ione Fine, David Gire, Jeff Ojemann, Adrienne Fairhall, Eric Shea-Brown, Jeff Riffell, Steve Perlmutter, Fred Rieke, John Tuthill COMPUTER SCIENCE <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=29> (Deadline Dec. 15): faculty include Raj Rao APPLIED MATH <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=3> (Deadline Dec. 15): faculty include Eric Shea-Brown, Nathan Kutz, Eli Shlizerman, Bing Brunton, and Adrienne Fairhall as well as Allen Institute affiliate faculty Michael Buice and Stefan Mihalas BIOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=641> (Deadline December 1): faculty include Bing Brunton, David Perkel, Jeff Riffell, Tom Daniel ELECTRICAL ENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=213> (Deadline Dec. 15): faculty include Chet Moritz, Amy Orsborn, Azadeh Yazdan-Shahmorad, Howard Chizeck BIOENGINEERING <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=14> (Deadline Dec. 1): Faculty include Amy Orsborn, Azadeh Yazdan-Shahmorad, Jay Rubinstein PSYCHOLOGY <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=97> (Deadline Dec. 1): Faculty include Sheri Mizumori, Ariel Rokem, David Gire, Ione Fine, Geoff Boynton, Eliot Brenowitz, Andrea Stocco BIOSTATISTICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=177> (Deadline December 1): Faculty include Daniela Witten and Ali Shojaie PHYSICS <https://grad.uw.edu/admission/find-a-program/program-detail/#!?progid=95> (Deadline Jan 5. ): faculty include Adrienne Fairhall, Fred Rieke

Nov. 23, 2020

IEEE WIE ILS - ITALY: virtual event on Dec 15th, 2020

by Michela Chiappalone

Dear friends and colleagues, we would like to let you know about this *free of charge* virtual IEEE Women in Engineering (WIE) event which will be held on December 15th 4.00PM CET. We will present two case studies of leader women in STEM and we will create awareness on mental health problems, especially arising in the research community. More information, the full speaker list and registration page can be found at this link: https://wieils-italy.eu/ IEEE WIE mission is to connect and to advance women in technology at all points in their life and career. WIE periodically organizes International Leadership Summits (ILS), providing leading-edge professional development sessions focusing on leadership, innovation, technology, and entrepreneurship that aims to inspire and advance mid-level and senior technical professionals globally. The December 15th virtual event is part of IEEE WIE International Leadership Summit (ILS) that was supposed to take place this year in Genova (Italy). Due to the pandemic, the live event has been postponed to November 2021 and further notice on it will be provided in the next months. Thank you for your kind attention and looking forward to your participation! Best regards, Michela Chiappalone & Marianna Semprini, organizers IEEE WIE ILS ------------------------------------------------------------------------- Dr Michela Chiappalone, PhD Researcher Rehab Technologies IIT-INAIL Lab Phone : +39 010 71781743 E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it> ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova Site: www.iit.it<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.iit.it…>

Nov. 23, 2020

Tenure-Track Assistant Professor Position in Neuroscience and Behavior

by Sébastien Hélie

Department of Psychological Sciences Tenure-Track Assistant Professor Position in Neuroscience and Behavior Date Available: August 2021 Principal Duties: Purdue University’s Department of Psychological Sciences invites applications for a tenure-track Assistant Professor position in Neuroscience and Behavior to begin in the Fall of 2021. The successful candidate will be expected to develop a program of nationally recognized research and teach undergraduate and graduate level courses. You can learn more about our department at our website: https://www.purdue.edu/hhs/psy/. Qualifications: The candidate must have a Ph.D. in psychology, neuroscience, or a related field and should have appropriate postdoctoral experience. Candidates should have a strong publication record, a research program with a high likelihood of obtaining external funding, and potential for teaching and mentoring excellence. We are particularly interested in candidates whose research is at the intersection of neuroscience and aging, but we will consider all candidates who conduct research in neuroscience, broadly defined. The College & University: The Department of Psychological Sciences is the largest Department in the College of HHS (http://www.purdue.edu/hhs/) which is the second largest college at Purdue. The department's graduate program in Neuroscience and Behavior was recently restructured to integrate research in human neuroscience within the program's traditional focus on (non-human) animal neuroscience. The Psychological Sciences faculty have strong connections with centers, institutes, and resources across campus, including the Life Science MRI Facility (https://www.purdue.edu/hhs/mri/) the Center for Research on Brain, Behavior, and NeuroRehabilitation (CEREBBRAL; https://www.purdue.edu/hhs/cerebbral/) the Purdue Institute for Integrative Neuroscience (PIIN; https://www.purdue.edu/discoverypark/institute-for-integrative-neuroscience/) and the Center on Aging and the Life Course (CALC; https://www.purdue.edu/aging/about) Established in 1869, Purdue is Indiana’s land-grant university, a comprehensive educational and research institution and member of the American Association of Universities. The West Lafayette campus, located one hour north of Indianapolis and two hours south of downtown Chicago, has ten academic colleges with an enrollment of 44,500 students from over 133 countries. The diverse greater Lafayette/West Lafayette community (http://www.homeofpurdue.com) has a population of approximately 200,000, and a low cost of living. Application Procedure: Applications must include (1) a cover letter of interest, (2) a curriculum vitae, (3) a research statement, (4) three peer-reviewed research articles, (5) a teaching statement, and (6) a diversity, equity, and inclusion statement (see below), and 7) contact information for three references. Application materials should be submitted by January 6th, 2021 for full consideration. Review of applications will continue until the position is filled. A background check is required for employment in this position. Questions regarding the position may be sent to Dr. Julia Chester, Chair of the Search Committee (jcheste(a)purdue.edu) Interested candidates should apply to https://career8.successfactors.com/sfcareer/jobreqcareer?jobId=12135&compan…. Purdue University’s Department of Psychological Sciences is committed to advancing diversity in all areas of faculty effort including discovery, instruction, and engagement. Candidates should address at least one of these areas in the separate Diversity and Inclusion Statement, indicating their past experiences, current interests or activities, and/or future goals to promote a climate that values diversity and inclusion. Equal Opportunity: Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply. ----------------------------------------------------------------- Sébastien Hélie, Ph.D. Associate Professor of Psychological Sciences Director of CEREBBRAL -- Offices: PRCE 359 / DLR 331 Phone: (765) 496-2692 Website: http://ccn.psych.purdue.edu/ ----------------------------------------------------------------

Nov. 21, 2020

Postdoctoral position in computational neuroscience at UCSF and Lawrence Berkeley National Laboratory

by Kirst, Christoph

The lab of Christoph Kirst<https://profiles.ucsf.edu/christoph.kirst> at UCSF<https://weill.ucsf.edu/> and the Lawrence Berkeley National Laboratory<https://www.lbl.gov/research-areas/> is looking for a postdoctoral scholar working at the interface between theoretical neuroscience and neuromorphic computing. The project seeks to explore mechanisms underlying dynamical self-reconfiguration of neuronal networks in brains and machines. Areas of interest are broad and include adaptive processing in dynamically self-reconfiguring neuronal networks, coordination of large scale distributed computation as well as energy efficient neuromorphic hardware. A potential research direction is to explore oscillatory mechanisms to coordinate computation and implement those into neuromorphic hardware of super-conducting oscillators. The ideal candidate would be capable of creating novel ideas and frameworks for flexible analog computation in neuronal and artificial networks. Experience with computation in dynamical systems, theoretical and experimental neuroscience, machine learning, neuromorphic computing or hardware design are advantageous. Interactions between researchers at UC San Francisco, UC Berkeley and at LBNL are encouraged. Postdoctoral researchers will have access to allocations on some of the world-leading supercomputers including Cori, and Perlmutter (Berkeley/NERSC). The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial, or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to christoph.kirst(a)ucsf.edu. Application review will proceed until the position is filled. Christoph Kirst Assistant Professor Department of Anatomy Kavli Institute for Fundamental Neuroscience University of California San Francisco Faculty Scientist Lawrence Berkeley National Laboratory Sandler Neuroscience Building 675 Nelson Rising Lane, Suite 514G San Francisco, 94158, CA, USA Phone: 415-502-7372 https://profiles.ucsf.edu/christoph.kirst [cid:b1051939-2ae0-4294-a389-d3100054eba7]

Nov. 21, 2020

Job Posting: MindCORE Research Fellowship for Postdoctoral Scholars at the University of Pennsylvania (apply by Jan 14)

by Calvert, Heather J

MindCORE Research Fellowship for Postdoctoral Scholars MindCORE (Mind Center for Outreach, Research, and Education) seeks to recruit outstanding postdoctoral researchers for our Research Fellowship for Postdoctoral Scholars. Housed within the School of Arts & Sciences of the University of Pennsylvania, MindCORE is an interdisciplinary effort to understand human intelligence and behavior. Designed for individuals who have recently obtained a PhD degree in psychology, linguistics, neuroscience, philosophy, computer science or other cognitive science discipline, the MindCORE Fellowship is a springboard for young researchers as they establish their own research program. Fellows are also encouraged to pursue collaborative research with faculty working across disciplines at Penn. Benefits Fellows receive a competitive salary, relocation allowance, health insurance plus a modest research budget. Fellows also benefit from access to the greater community of academics including visiting scholars plus leading research facilities equipped with cutting-edge instrumentation all on an urban campus in a vibrant city. Fellows are invited to join regular working group meetings within their field plus career development workshops aimed at young researchers, and will be provided with a mentoring committee. Funding is provided in one year terms renewable for up to three years. Eligibility & Application * Applicants must have formally completed all requirements of the PhD degree and provide a copy of their diploma at the time of appointment. Candidates must submit 1-2 page research statement that identifies at least three MindCORE faculty at Penn (https://mindcore.sas.upenn.edu/people/faculty-and-associates/) with whom the applicant would be interested in collaborating, along with a CV and contact information for two referees. * Submitted documents should be saved with candidate's Lastname_Firstname.PDF in one PDF file in this order: research statement, CV, referees (name, affiliation, email address). Complete applications should be submitted through the form on our website: https://web.sas.upenn.edu/mindcore/post-doctoral-research-fellowship/. Questions can be emailed to pennmindcore(a)sas.upenn.edu<mailto:pennmindcore@sas.upenn.edu> * Applications due January 14, 2021. Selection All eligible and complete applications will be evaluated by the Selection Committee and are judged on the following criteria: * Scientific excellence * Scientific match and interdisciplinarity * Career potential MindCORE awards ~2 post-doctoral Fellowships per year. Positions may start as early as July 1, 2021. Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. Thank you for posting/sharing! Heather J. Calvert (she / her) Executive Director, MindCORE, University of Pennsylvania Penn's hub for the integrative study of the mind. hcalvert(a)sas.upenn.edu<mailto:hcalvert@sas.upenn.edu> https://web.sas.upenn.edu/mindcore/ Follow MindCORE on Twitter & Facebook @PennMindCORE

Nov. 20, 2020

The KiloNeurons ERC project: post-doctoral and PhD research positions in theoretical neuroscience

by Yoram Burak

The Burak Lab at the Hebrew University is recruiting *post-doctoral research associates* and *graduate students* in theoretical neuroscience to take part in an *ERC Synergy* research project led by Edvard Moser (NTNU) and Yoram Burak (HUJI). The €10M *KiloNeurons* project is a collaborative endeavor bringing together theoretical and experimental researchers from the two labs, aiming to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. Team members at HUJI will develop theories of neural network dynamics and methodologies for interpretation of large scale neural recordings. Experimental data will be collected in the Moser Lab, and analyzed in close collaboration between the labs. Research will be conducted at the *Edmond and Lily Safra Center for Brain Sciences*, offering a superb intellectual environment for interdisciplinary brain research, with a strong emphasis on systems and computational neuroscience. The Burak Lab is affiliated also with the *Racah Institute of Physics*. Extensive interaction, including research visits, will take place with the *Kavli Institute for Systems Neuroscience* (Trondheim, Norway). *Postdoctoral research positions* Candidates for postdoctoral positions must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as familiarity with research in computational neuroscience are advantageous, but not individually required. We are looking for candidates with excellent abilities in theoretical research, strong intellectual curiosity and drive, and an interest in relating theory to experimental data. *To apply for postdoctoral research positions*Please send the following information to yoram.burak(a)elsc.huji.ac.il in a *single PDF file*: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Please include the text 'POSTDOC_APPLICATION' in the subject header of the email. *Deadline*: For full consideration, applications must be received by December 21, 2020. *Graduate student positions*Candidates for graduate student positions must have an excellent record from their undergraduate studies in physics, mathematics, computer science, or a related field, and a keen interest in computational neuroscience. We are looking for candidates with an excellent ability to learn new topics and with superb intellectual curiosity and drive. Students can join through the physics Ph.D. program at the Racah Institute of Physics, or the Ph.D. program in brain sciences at the Edmond and Lily Safra Center. Other graduate study programs at the Hebrew University may be appropriate, depending on the background of the candidate. *To apply for graduate student positions*Please send the following information to yoram.burak(a)elsc.huji.ac.il in a* single PDF file*: 1. Curriculum vitae 2. Grade transcripts from undergraduate studies and, if applicable, M.Sc. studies 3. Brief statement (up to one page) describing why you would like to join the project as a graduate student 4. M.Sc. graduates: please provide the names and contact details of two references Please include the text 'PHD_APPLICATION' in the subject header of the email. *Deadline*: University deadlines and possible starting dates depend on the specific program joined. For full consideration in this search please apply by December 21, 2020. *See also*: https://www.buraklab.me/kiloneurons https://sciencebusiness.net/network-updates/ntnu-eu10m-erc-synergy-grant-no…

Nov. 20, 2020

Assistant Professorin Computational Neuroscience (W1) with tenure track option (to W2) - Institute of Cognitive Science, Osnabrueck

by Prof. Pipa

The School of Human Sciences at Osnabrück University seeks to appoint, at the Institute of Cognitive Science, an Assistant Professor (m/f/d) in Computational Neuroscience at the earliest possible date. This tenure-track Professorship is funded by the German Federal Government under its Program for the Promotion of Young Academics (Tenure-Track Program). Research experience in the field of experimental and computer aided Human Cognitive Neuroscience, proven by a publication record in recognized scientific journals is expected. Further, on the theoretical side, significant experience in training and analysing deep neural networks as models of brain functions is required. Experimental work should cover a variety of methods, including, e.g., EEG, MEG, fMRI, TMS and Eyetracking, combined with advanced analysis by machine learning methods. Research should be in the area of experimental and computer aided Cognitive Neuroscience. The professorship complements and cooperates with the existing research groups of the Institute of Cognitive Science at Osnabrück University. Further, the holder of the position should actively contribute to existing and future collaborative research projects (currently, the RTG Situated Cognition, RTG Computational Cognition, and SIDDATA) and should participate in the respective continuation research proposals. In addition, the professorship should represent the complete range of the subject in both research and teaching in all degree programs of Cognitive Science (BSc, MSc, PhD). Teaching is in English. Osnabrück University is a certified family-friendly university and is committed to helping working/studying parents balance their family and working lives. Osnabrück University is actively seeking to increase the number of female Professors in its employ. Applications from women are therefore particularly welcome. You can find more information here. https://www.uni-osnabrueck.de/universitaet/stellenangebote/professuren-junio rprofessuren/ For further information, please contact Prof. Dr Gordon Pipa, E-Mail: gpipa(a)uni-osnabrueck.de. Please submit your application by January 03, 2021 (bewerbungfb08(a)uni-osnabrueck.de enter the code word "CN" in the subject of your e-mail ) We look forward to receiving your application. ---------------------------------------------------------------------------- ----------------------------------- Professor and Chair of the Neuroinformatics Department Dr. rer. nat. Gordon Pipa Institute of Cognitive Science, Room 50/218 tel. +49 (0) 541-969-2277 fax (private). +49 (0) 5405- 500 80 98 home office. +49 (0) 5405- 500 90 95 e-mail: gpipa(a)uos.de webpage: http://www.ni.uos.de research gate: https://www.researchgate.net/profile/Gordon_Pipa/?ev=prf_act linkedin: https://de.linkedin.com/in/gordon-pipa-47771539 Personal Assistent and Secretary of the Neuroinformatic lab: Anna Jungeilges Tel. +49 (0)541 969-2390 Fax +49 (0)541 969-2246 Email: anna.jungeilges(a)uni-osnabrueck.de visit us on http://www.facebook.com/CognitiveScienceOsnabruck https://twitter.com/#!/CogSciUOS

Nov. 20, 2020

Call for 2021 Telluride Neuromorphic Cognition Engineering Workshop Topic Area Proposals

by Emre Neftci

The Telluride Neuromorphic 2021 Workshop Organizers are soliciting topic area proposals for the 2021 Telluride Neuromorphic Cognition Engineering Workshop ( https://sites.google.com/view/tellurideneuromorphic2021/home ) which will run from June 27 to July 16 2021. Details of the call can be found here: https://docs.google.com/document/d/1oVU27pg-O3hIRepgfx1GnrZawiDhG6zNBsTty_k… Important upcoming dates: - 17.12.2020: Proposer's Day (5pm CET (9am USA Mountain Time). We will answer questions from prospective proposers about the topic area organization. - 01.15.2021: Deadline for Topic Area Proposals. -- Emre Neftci, PhD, Assistant Professor, Neuromorphic Machine Intelligence Lab (http://nmi-lab.org/) Department of Cognitive Sciences, 2308 Social & Behavioral Sciences Gateway Building, UC Irvine 92697-5100

Nov. 20, 2020

PhD opportunity: Neurocomputational mechanisms of decision making

by Simon Kelly

Applications are invited for a *fully-funded, 4-year PhD* position in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab, to simon.kelly(a)ucd.ie. The PhD position is intended to start in Sept 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

Nov. 19, 2020

2 Postdoc positions: Neurocomputational mechanisms of decision making

by Simon Kelly

Applications are invited for two 3-year postdoctoral positions in the Kelly lab in University College Dublin, to work on a project examining the task-adaptive role of evidence accumulation in perceptual decision making using human neurophysiology combined with computational modelling. This project is funded under a Wellcome Trust Investigator Award, by the SFI-HRB-Wellcome Research Partnership. The extent to which evidence accumulation underpins decision formation in some or all perceptual tasks is still widely debated. Accordingly, there now exist many distinct, alternative mathematical decision models that limit the role of evidence accumulation in various ways, most notably through leaky integration or "collapsing" decision bounds. The trouble is, these alternative models can often be made to fit behavioral data equally well but lead to fundamentally different inferences. With the rapidly growing use of these models across many basic and clinical research domains, it is past time that we knew whether, why and how these alternative mechanisms are invoked across different task scenarios, including ones representative of real life. This project will draw on novel neurally-informed modelling approaches developed by our lab (see, e.g. [1-3]) and others, to uncover core principles governing how neurocomputational decision processes are flexibly adapted to diverse task demands. The Kelly lab is based in the School of Electrical and Electronic Engineering in University College Dublin, Ireland, and is affiliated with the Trinity College Institute of Neuroscience. It has strong collaborative links to basic and clinical cognitive neuroscience research groups employing a range of methods, both locally and internationally. The successful candidate will have ample opportunities for wider collaborations and the learning of new skills. Interested candidates should submit their CV and a brief research statement describing their background and research interests and how they align with the project and the broader interests of the Kelly lab. Please submit these materials through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ - search for job ref number *012812*), before the *deadline of Jan 11 2021*. The positions are intended to start in April/May 2021, with some flexibility. [1] Afacan-Seref K, Steinemann NA, Blangero A, Kelly SP. Dynamic interplay of value and sensory information in high-speed decision making. Current Biology. 2018. 28(5):795-802.e6. [2] Kelly SP, Corbett EA, O'Connell RG. Neurocomputational mechanisms of prior-informed perceptual decision making in humans. Nature Human Behaviour. In Press. [3] O'Connell RG, Shadlen MN, Wong-Lin K, Kelly SP. Bridging Neural and Computational Viewpoints on Perceptual Decision-Making. Trends Neurosci. 2018;41(11):838‐852. doi:10.1016/j.tins.2018.06.005 ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

Nov. 19, 2020

Postdoc position in decision neuroscience: Multi-site project

by Simon Kelly

Applications are invited for a 3-year postdoctoral research position in the Kelly lab in University College Dublin, to work on a collaborative Tripartite project on the neural mechanisms of perceptual decision making, jointly funded by Science Foundation Ireland, HSC-Northern Ireland and the U.S. National Institute of Mental Health. The overall, multi-site project involves non-human primate neurophysiology (Michael Shadlen in Columbia University), intracranial human EEG (Stephan Bickel in Northwell-Hofstra School of Medicine), biologically based neural network modelling (KongFatt Wong-Lin, Ulster University), human fMRI (Redmond O’Connell in Trinity College Dublin) and human EEG (Simon Kelly in UCD), with several planned visits and regular interactions among labs, and diverse skill-building opportunities. The primary focus of the postdoc position in UCD is to contribute insights using human EEG, in close alignment with, and with contributions to, the experiments conducted in other modalities and at the other sites. A key focus of the project is to understand the role of neural representations of cumulative evidence that are abstracted from specific motor requirements, and to find out where and how such representations are computed in the human and non-human primate brains. Interested candidates should submit a brief research statement and CV including publications through the UCD job vacancies site ( https://www.ucd.ie/workatucd/jobs/ – search for job ref number 012810). Informal enquiries can be directed to Simon (simon.kelly(a)ucd.ie) Candidates should explain in their statement how their own research interests fit with those of the Kelly lab and why they are suited to this particular multi-site neuroscience project. The deadline for submitting applications is Dec 16 2020, and shortlisting and interviews will take place shortly after that. It is hoped that the candidate can start on this project early in the new year. ----------------------------------------------------------- Simon Kelly, Ph.D. Associate Professor School of Electrical and Electronic Engineering University College Dublin t: +353 (1) 716 1803 e: simon.kelly(a)ucd.ie -----------------------------------------------------------

Nov. 19, 2020

postdoc position at Georgia Tech

by Rozell, Christopher J

A postdoctoral position in computational neuroscience is available in the lab of Christopher Rozell at the Georgia Institute of Technology (Atlanta, GA). This BRAIN Initiative research project seeks to advance the field of closed-loop computational neuroscience by pioneering the use of real-time feedback stimulation during experiments to decouple recurrently connected circuit elements and make stronger causal inferences about circuit interactions. This position will have a broad opportunity to develop models and algorithms that are implemented in novel experiments using closed-loop optogenetic stimulation. We aim to provide both new scientific insight about computation in neural circuits (especially sensory coding in the thalamo-cortical circuit) as well as new approaches and algorithmic tools for the community to use in novel electrophysiology experiments. This position will work as part of a team and in close collaboration with the experimental lab of Garrett Stanley (also at Georgia Tech), and it is expected that the computational and algorithmic approaches will be implemented experimentally through close partnership with experimentalists in the Stanley Laboratory. Applicants should hold a PhD in a related discipline with a strong record of research impact, quantitative thinking and collaborative work. Experience in computational neuroscience, machine learning, feedback control, and causal inference is all advantageous. The lab is committed to providing a diverse and inclusive environment for all scholars, and applications are especially encouraged from all underrepresented groups. Additionally, the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties. Excellent (written and oral) communication skills in English are required. This particular project is part of the Collaborative Research in Computational Neuroscience program (CRCNS), providing access to a community of researchers across the country who are focused on similar types of collaborations between computational and experimental labs. Georgia Tech's campus in the heart of midtown Atlanta, which has a thriving and collaborative neuroscience community that has a particular emphasis on computational and systems neuroscience. Atlanta is also one of the fastest-growing metropolitan areas in the United States, boasting a wide range of opportunities for recreation and culture. Georgia Tech has competitive benefits (including comprehensive medical insurance) and is an equal opportunity employer. The position would ideally start as soon as possible (spring 2021). The appointment is initially for 12 months with the expectation of renewal. Compensation will be commensurate with relevant experience. Candidates should send a CV, a statement of research experience and interests, expected date of availability, and the contact information for three references to crozell(a)gatech.edu with the subject line "CRCNS postdoc". Application review will proceed until the position is filled and should be received by December 1 for full consideration. http://siplab.gatech.edu/CRCNS_postdoc_ad.html

Nov. 19, 2020

Postdoctoral fellow in Computational Neuroscience investigating mechanisms of sensorimotor integration.

by Ausborn,Jessica

Dr. Jessica Ausborn’s group at Drexel University College of Medicine, in the Department of Neurobiology & Anatomy has a postdoctoral position available for an exciting new research project involving computational models of sensorimotor integration based on neural and behavior data in Drosophila. The interdisciplinary collaboration with the experimental group of Dr. Katie von Reyn (Drexel School of Biomedical Engineering) will involve a variety of computational techniques including the development of biophysically detailed and more abstract mathematical models together with machine learning and data science techniques to identify and probe the algorithms computed in neuronal pathways that perform sensorimotor transformations. The Ausborn laboratory is part of an interdisciplinary group of Drexel’s Neuroengineering program that includes computational and experimental investigators. This collaborative, interdisciplinary environment enables us to probe biological systems in a way that would not be possible with either an exclusively experimental or computational approach. https://drexel.edu/medicine/about/departments/neurobiology-anatomy/research… More details on how to apply can be found here: https://careers.drexel.edu/en-us/job/495192/postdoctoral-researcher ----- Jessica Ausborn Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

Nov. 19, 2020

PhD with Bristol Neural Computation Hub

by Cian O'Donnell

The Bristol Neural Computation Hub, University of Bristol, UK is looking to recruit to a number of EPSRC-funded PhD studentships for a Sept/Oct 2021 start: the research areas considered include Computational Neuroscience and Machine Learning. We have a vibrant Computational Neuroscience group with strong collaborative links with local and international groups working in experimental neuroscience, in machine learning and cognitive science. We have interesting projects to offer in our respective research areas: Laurence Aitchison (http://www.gatsby.ucl.ac.uk/~laurence/) gaussian processes and deep learning. Jeff Bowers (https://jeffbowers.blogs.bristol.ac.uk) deep learning as models of cognition. Conor Houghton (https://conorhoughton.github.io) information theory, decision making and affective state and linguistics. Nathan Lepora (http://lepora.com) robotics, neuroscience, biomimetics. Cian O’Donnell (https://odonnellgroup.github.io) synaptic plasticity, autism, statistical methods for neural data. Rui Ponte Costa (https://neuralml.github.io) credit assignment in cortical circuits. More details on the group here: https://bristolcnu.github.io/research/ Bristol is one of the top places to live and work in the UK and so we urge you to apply or to recommend this opportunity to suitable students. Anyone interested should contact one of us to discuss potential project and their application as early as possible; there are notes on the application process below; the final application would need to be submitted by 15th Jan 2021. All the best, Conor, Nathan, Cian, Rui, Laurence, and Jeff ___________ Information on the studentships: http://www.bristol.ac.uk/engineering/postgraduate/funding/sceem-studentships International students (including EU who haven’t lived in the UK) are very much eligible to apply but the process will be more competitive as only maximum 30% of the studentships are open for them. The remainder of these studentships are subject to a UK residency requirement: (https://epsrc.ukri.org/skills/students/help/eligibility/) Students should contact one of us before applying as you would need our nomination and also time to develop their project proposal with us. The selection itself goes through a two step process, students are first accepted as PhD students by the University and are then considered for funding within the School. Applicants should apply via http://www.bristol.ac.uk/study/postgraduate/apply/ and select "Computer Science PhD", ensuring they submit a short research proposal outlining the research question or area they intend to focus on and a CV by the deadline.

Nov. 19, 2020

Neural Engineering NER2021 call for papers

by Alberto Mazzoni

Dear friends, The deadline for the submission of 4-page papers to our bi-annual IEEEembs conference on Neural Engineering NER2021 is approaching! NER is the world’s gathering place for biomedical engineers, neuroscientists, and clinicians to share research and to exchange ideas and breakthrough advances in novel engineering tools for elucidating brain function and neuro technologies for the restoration and enhancement of impaired sensory, motor, and cognitive functions. The conference program will feature keynote speakers, invited talks, mini-symposia, and poster sessions. Please note that there will be a Special Session on Computer Models in Neuroengineering. All papers will be peer reviewed. All accepted one page and four page papers will appear in the Conference Program. Only four page papers will have the opportunity to be published in IEEE XPlore.Please submit yourpapers on #neurotechnology #bionics #robotics #prosthetics #neuroscience#machinelearning and more Information and complete call for papers available here: https://neuro.embs.org/2021/ Thanks, best and see you there! Alberto Mazzoni www.santannapisa.it/en/computational-neuroengineering-laboratory

Nov. 19, 2020

Online workshop series - Neural Control: From data to machines

by plan4act

We are pleased to announce that registration is now open for the remaining sessions of our ongoing workshop series *Neural Control: From data to machines* with weekly Zoom-sessions each Thursday morning at 10am (CET) throughout November and December. It's not too late to register for tomorrow's session (*Nov 19th*)! Topic: Movement disorders leave individuals unable to control parts of their bodies, creating a disconnect between their brain and the world around them. This workshop series looks at how neural activity can be mapped to control smart systems, producing desired movements on demand. To discuss the implied problems and solutions, we have brought together experts from the different involved scientific fields. Details and registration at: https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/ <https://alexandria.physik3.uni-goettingen.de/cns-group/projects/webinars/> Confirmed Speakers: * *Dario Farina* * *Silvestro Micera* * *Tonio Ball* * *Nick Ramsay* * *Juan Álvaro Gallego* * *Florentin Wörgötter* * *Alexander Gail* * *Christian Tetzlaff* * *Michael Fauth* * *Tomoki Fukai* * *Petra Ritter* * *Valerio Mante* * *Hans Scherberger* * *Gordon Cheng* * *Poramate Manoonpong* * *Jan-Matthias Braun* * *Eugenio Gaeta* * *Daniel Durstewitz* * *Yukie Nagai* Please forward to anyone who may be interested. Best, Florentin Wörgötter and Christian Tetzlaff

Nov. 18, 2020

Computational Neuralengineering Training Program at Georgia Tech/Emory

by Rozell, Christopher J

The Georgia Tech/Emory Computational Neuralengineering Training Program (CNTP) is a collaborative partnership with the mission of training the next generation of researchers at the intersection of computational neuroscience, data science and clinical neurophysiology. The CNTP is a training program supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) to address the opportunities provided by the explosion of tools for measurement and manipulation of nervous system function and the challenges posed by neurologic disorders. Trainees in CNTP program consists of PhD students with clear interest in quantitative training and either basic or clinical study of the brain, and who are pursuing studies in any of these degree programs: Biomedical Engineering (GT and Emory), Bioengineering (GT), Electrical and Computer Engineering (GT) or Machine Learning (GT) PhD programs. In addition to the benefits of being part of the broad computational neuroscience community in Atlanta, CNTP trainees have access to a new restricted course on Clinical Experience for Engineers, regular meetings with the cohort for rich discussions in technical and professional development topics, and an annual retreat with faculty and students for deeper dives into research discussions. Fellows in the CNTP receive two years of funding which supports a rotation program between labs in the first year. Fellow applications are solicited in the spring from applicants to the degree programs listed above. To be considered for the CNTP Fellowship, all you need to do is apply to a participating graduate program and have aligned interests expressed in your research statement. Scholars in the CNTP are full members of the community with access to all of the same programming (but without the fellowship funding). Scholar applications will be solicited in the summer from students joining labs in the upcoming fall. While there are low barriers to performing interdisciplinary research across departmental boundaries, admissions are handled separately by each degree program. Students interested in participating in the CNTP program should apply to the program that best fits their goals and interests. Application deadlines are listed below, along with the CNTP training faculty affiliated with each degree program. Please contact crozell(a)gatech.edu with questions. ***DEGREE PROGRAMS*** Biomedical Engineering (GT and Emory) DEADLINE: December 1 Application information: https://www.bme.gatech.edu/bme/grad-prospective-student-apply Bioengineering (GT) DEADLINE: Same as the home school selected during application Application information: https://bioengineering.gatech.edu/applying-bioengineering-program Electrical and Computer Engineering (GT) DEADLINE: December 16 Application information: https://www.ece.gatech.edu/graduate-admissions Machine Learning (GT) DEADLINE: Same as the home school selected during application Application information: http://ml.gatech.edu/phd/admissions ***CNTP Training faculty*** --Georgia Tech-- Garrett Stanley Chris Rozell Rob Butera Hannah Choi Tim Cope Constantin Dovrolis Eva Dyer Irfan Essa Ross Ethier Bilal Haider Hang Lu Susan Margulies Cassie Mitchell Machelle Pardue Peng Qiu Annabelle Singer --Emory University-- Lena Ting Michael Borich Gordon Berman Nick Boulis Gary Clifford Bob Gross Shawn Hochman, Dieter Jaeger Shella Keilholz Robert Liu Babak Mahmoodi Svetlana Miocinovich Ilya Nemenman Chethan Pandarinath Astrid Prinz Sam Sober Thomas Wichmann

Nov. 17, 2020

Fully-funded PhD Position in Cognitive Neuroscience

by Alireza Soltani

Fully-funded PhD Position in Cognitive Neuroscience The Cognitive and Affective Neuroscience Lab and the Computational and Cognitive Neuroscience Lab at Dartmouth have a joint, fully-funded PhD position for a motivated student to work on an exciting project on understanding how interactions between belief, expectation, and prior experience shape learning about reward and pain, process of belief formation, and how expectation or reward and pain influences perception and learning. The project is a collaboration between two labs and involves a combination of human experiments and computational modeling. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) and/or Tor Wager (Tor.D.Wager(a)dartmouth.edu) To apply, please visit the PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> Relevant references: Soltani, Khorsand, Guo, Farashahi, Liu (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 Jepma, Koban, van Doorn, Jones, Wager (2018). Behavioural and neural evidence for self-reinforcing expectancy effects on pain. Nature human behaviour, 2(11):838-55.

Nov. 17, 2020

[Journals] 1st CFP: Special Issue on "Theory of Mind in Humans and in Machines"

by Bogdan Ionut Cirstea

Dear colleagues, Apologies for cross-posting. Together with Prof. Fabio Cuzzolin (Oxford Brookes University, UK) and Prof. Barbara Jacquelyn Sahakian (University of Cambridge, UK), we are organizing a special issue (Frontiers Research Topic) on the emerging topic of "Theory of Mind in Humans and in Machines" under the "Frontiers in Artificial Intelligence" and "Frontiers in Computational Neuroscience" journals. We would like to invite you to contribute articles to the Research Topic. For more information on this special issue, please visit the website at https://www.frontiersin.org/research-topics/16802/theory-of-mind-in-humans-… . Papers may be submitted until the 3rd of April 2021. Submitted papers should not be under consideration for publication elsewhere. We also encourage authors to send a short abstract (via the platform) to ensure compliance with the topic and scope of the Frontiers journals as early as possible. The submission of abstracts is not mandatory and the deadline is the 4th of December 2020. Topics of interest include, but are not limited to, theoretical proposals, computational experiments, and case studies of: • Computational Theory of Mind • Learning from Demonstrations • Cognitive Models for Learning from Demonstration and Planning • Neuroscience-inspired models of Theory of Mind • Human-Robot Interaction • Cooperative Inverse Reinforcement Learning (assistance games) • Learning from Preferences If you intend to send an article to the special issue, please do let us know by hitting the "Participate" button in the web interface. If you have any questions or need any kind of assistance from us, please do not hesitate to let us know. On behalf of the topic editors, Bogdan-Ionut Cirstea Topic Editors: Prof. Fabio Cuzzolin, Oxford Brookes University, UK < fabio.cuzzolin(a)brookes.ac.uk> Prof. Barbara Jacquelyn Sahakian, University of Cambridge, UK < bjs1001(a)cam.ac.uk> Dr. Bogdan-Ionut Cirstea, Oxford Brookes University, UK < bcirstea(a)brookes.ac.uk>

Nov. 16, 2020

PhD and Postdoc Positions in Computational/Theoretical Neuroscience (Western University)

by Lyle Muller

The lab of Lyle Muller (http://mullerlab.ca) in the Department of Applied Mathematics and the Brain and Mind Institute at Western University (London, Ontario) has multiple PhD positions and one postdoctoral position in computational and theoretical neuroscience. NeuroNex Postdoctoral Scholar: This scientist will work with an international NeuroNex consortium<https://www.nxwm.io> studying the transcriptomic, cellular, and network basis of working memory. The project will incorporate analysis of multichannel neural data and computational models ranging from single neurons to spiking neural networks and machine learning algorithms. The researcher will work within a dynamic team and with data at multiple scales (transcriptomics, intracellular patch clamp, and extracellular spiking data). Joint PhD position with Julio Martinez-Trujillo<https://martinez-trujillo-uwo.ca>: This scientist will join a growing marmoset electrophysiology program in the Martinez-Trujillo lab, where multichannel arrays will record neural spiking activity at high spatial and temporal resolution during sensory and cognitive tasks. These multimodal experiments will be complemented by computational analyses and models collaboratively developed in the two labs. Joint PhD position with Wataru Inoue<https://www.schulich.uwo.ca/physpharm/people/faculty/Bio%20Pages/inoue_wata…>: This scientist will develop a real-time interface between recorded neurons and computational models of these single cells. The candidate will then use these “dynamic clamp” recordings to study how the properties of single cells are shaped by network activity and how network activity is in turn shaped by these properties. Research in this project will involve developing intracellular recording paradigms in conjunction with single neuron and spiking network models. Candidates interested in the lab’s research are additionally encouraged to contact the PI to discuss other projects of interest. Research in the lab utilizes a combination of large-scale numerical simulations and analytical approaches. Prior experience with scientific computing languages (MATLAB, Julia, or Python) and/or low-level programming (C/C++) is preferred. Prior experience with computational modeling, signal processing, or random graph theory is also preferred. Western University offers an excellent research environment and support. Graduate students can apply through the departments of Applied Mathematics or Neuroscience. Interested candidates (both graduate and postdoc) can write to lmuller2(a)uwo.ca<mailto:lmuller2@uwo.ca> with a CV to arrange an interview. Review of applications will begin on 15 December. BrainsCAN has an upcoming Graduate Studentship<https://brainscan.uwo.ca/programs/graduate_studentship_program/index.html> (deadline 4 January 2021) for highly talented candidates. Both our group and the University are deeply committed to fostering diversity in the sciences. Applications from underrepresented groups are strongly encouraged. BrainsCAN has an upcoming EDI Postdoctoral Special Call<https://brainscan.uwo.ca/programs/pdf_special_call/index.html> (deadline 4 December 2020), and any interested applicants can write the PI directly to discuss applications for this opportunity. -- Lyle Muller http://mullerlab.ca

Nov. 16, 2020

Postdoctoral Fellow/Research Associate Position in Computational Neuroscience and Biomechanical Modeling

by Danner,Simon

We are looking to fill a Postdoctoral Fellow/Research Associate position in Computational Neuroscience and Biomechanical Modeling at the Department of Neurobiology and Anatomy, Drexel University College of Medicine, Philadelphia, PA. Our group studies the spinal locomotor circuitry and its interactions with the musculoskeletal system and afferent feedback. The qualified postdoc will work on several collaborative, interdisciplinary, NIH-funded projects to uncover the connectivity and function of somatosensory afferents and various genetically or anatomically identified interneurons. The studies involve the development of computer models of mouse, rat, and cat biomechanics connected with models of the spinal locomotor circuitry. The successful candidate will closely collaborate with other computational and experimental neuroscientists: they will use experimental data to implement and refine the model, and use the model to derive predictions that will then be tested experimentally by our collaborators. The qualified candidate will benefit from joining a well-funded research group that works in a dynamic, collaborative and interdisciplinary environment. The highly collegial Danner lab is a member of the Neuroengineering Program, the Theoretical & Computational Neuroscience group, and the Spinal Cord Research Center within Drexel University College of Medicine’s Department of Neurobiology and Anatomy (http://drexel.edu/medicine/About/Departments/Neurobiology-Anatomy/) in Philadelphia, PA. The Department provides an outstanding scientific environment for multidisciplinary training. Interactions and collaborations between labs and between other departments are encouraged. More detailed information can be found here: https://careers.drexel.edu/en-us/job/495193/postdoctoral-researcher To apply, please email a current CV and contact information for 3 references to smd395(a)drexel.edu<mailto:smd395@drexel.edu>. The position will remain posted until filled. -- Simon M. Danner Assistant Professor Neurobiology and Anatomy College of Medicine Drexel University 2900 W Queen Lane Philadelphia, PA 19129

Nov. 16, 2020

Special Research topic in Frontiers of Neuroscience: “Symmetry as a Guiding Principle in Understanding Neural Information Processing.”

by Benedetta Franceschiello

*S**pecial Research topic in Frontiers of Neuroscience. Guest editors: T. Poggio (MIT),F. Anselmi (BCM), A. Patel (BCM), A. Tacchetti (Deep mind)* *Title: *“Symmetry as a Guiding Principle in Understanding Neural Information Processing.” Researchers are invited to submit papers for this special edition. For more information, or to submit a manuscript, please visit URL: https://www.frontiersin.org/research-topics/15343/symmetry-as-a-guiding-pri… Submission deadline: April 13, 2021 The aim of this Research Topic is to cover promising, recent, and novel research trends regarding on the role of symmetry in shaping the learning/ information processing and neuronal organization in the brain, within a theoretical and computational perspective. Areas to be covered in this Research Topic may include, but are not limited to: - New architectures beyond convolutional networks: biologically plausible sensory representations that are simultaneously selective for object identity and invariant to nuisance variation (including but not limited to group transformations, beyond translations) in mammalian cortex. - Sample complexity and invariant representations: is the brain using symmetries to perform efficient computation? - Variants of common plasticity rules or new class of rules that incorporate sensory data symmetries: how can the brain discover data symmetries and learn to represent sensory input in an invariant way? - Role of time continuity, crucial in the sensory experience, in defining classes of symmetries (implicit unsupervised labelling For questions, please contact Prof. Fabio Anselmi via email: Fabio.Anselmi(a)bcm.edu

Nov. 16, 2020

You are invited to EEG/ERPs recording and analyses WEBINAR

by Maryam

“EEG/ERPs recording and analyses A multifaceted approach to EEG signal” Dear researchers, We are pleased to announce the upcoming webinar organized by ScienceBeam. Please also share with interested students and researchers. Date and Time: December 1st, 11:00 AM CEST Speaker: Dr. Raphaël Fargier ➢ PhD in Cognitive Neuroscience, Université Claude Bernard Lyon 1 ➢ Post-doctoral fellow at Aix-Marseille University-LPL Highlights: • Basics of EEG recording and pre-analyses • Multifaceted approach to EEG signal processing ➢ ERPs ➢ Microstates (Spatio-temporal segmentation) ➢ Single-trials ➢ Oscillations (Time-frequency decomposition) • Case studies “Electrophysiology of language”: how EEG can inform on how words are learned, produced and understood You don’t want to miss this webinar! Save your seat via the link below: https://sciencebeam.com/raphael-fargier-webinar/ Can’t attend live? You should still register. We’ll send out the recording after the webinar to all the registrants. If you need more information please contact us: workshop(a)sciencebeam.com WhatsAppno: 008613380781282

Nov. 16, 2020

Neural Networks Special Issue on Artificial Intelligence and Brain Science

by Kenji Doya

Building on the big success of the International Symposium on Artificial Intelligence and Brain Science (AIBS 2020) http://www.brain-ai.jp/symposium2020/ we are organizing a Neural Networks Special Issue on Artificial Intelligence and Brain Science: https://www.journals.elsevier.com/neural-networks/call-for-papers/special-i… This special issue features perspective articles based on the discussions at AIBS 2020 and aims to capture recent advances in the crossing forefront of AI and neuroscience. We call for submissions of papers aiming at fruitful fusion of AI and brain science. Topics of interest include, but are not limited to: • Brain-inspired Artificial Intelligence • Deep Learning • Reinforcement Learning • World Model Learning and Inference • Metacognition and Metalearning • AI for Neuroscience • Neuromorphic Technologies • Social Impact and Ethics of Neuro-AI Technologies Prospective authors should submit their manuscripts online at https://www.editorialmanager.com/NEUNET/default.aspx • Manuscript submission due: January 10, 2021 • First review completed: March 31, 2021 • Revised manuscript due: May 31, 2021 • Final decisions to authors: June 30, 2021 Guest Editors: Kenji Doya, Okinawa Institute of Science and Technology (ncus(a)oist.jp) Karl Friston, University College London Masashi Sugiyama, RIKEN AIP and The University of Tokyo IRCN Josh Tenenbaum, Massachusetts Institute of Technology ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

Nov. 15, 2020

Fully-funded PhD Position in Computational and Cognitive Neuroscience

by Alireza Soltani

Fully-funded PhD Position in Computational and Cognitive Neuroscience The Computational and Cognitive Neuroscience Lab (CCNL) at Dartmouth has a fully-funded PhD position for a motivated student to work on an exciting project on the role of attention in reward-based learning. The project involves a combination of human experiments and computational modeling. Experimentally, it aims to extend our previous studies that examined learning with multiple cues (Soltani et al, 2016) and multi-dimensional cues (Farashahi et al, 2017; Farashahi et al, 2020). In terms of computational modeling, the aim is to extend current mechanistic models (c.f., Soltani et al, 2016 and Farashahi et al, 2017) as well as recurrent neural networks to better understand the role of attention in learning from high-dimensional stimuli and how complex learning strategies emerge over time. A suitable candidate would have a strong background in cognitive and/or computational neuroscience, good computer programming skills, and a strong desire to understand neural mechanisms underlying cognition. Interested candidates should contact Alireza Soltani (Alireza.Soltani(a)dartmouth.edu) To apply, please visit the Dartmouth PBS’s Graduate Admissions page <https://pbs.dartmouth.edu/menufeature/graduate/graduate-admissions> For more recent publications from the lab please visit http://ccnl.dartmouth.edu <http://ccnl.dartmouth.edu/> Relevant references: 1. Soltani A, Khorsand P, Guo CZ, Farashahi S, Liu J (2016). Neural Substrates of Cognitive Biases during Probabilistic Inference. Nature Communications, 7:11393 2. Farashahi S, Rowe K, Aslami Z, Lee D, Soltani A (2017). Feature-based Learning Improves Adaptability without Compromising Precision. Nature Communications, 8:1768. 3. Farashahi S, Xu J, Wu S-W, Soltani A (2020). Learning Arbitrary Stimulus-Reward Associations for Naturalistic Stimuli Involves Transition from Learning about Features to Learning about Objects. Cognition, 205.

Nov. 15, 2020