- Comp-neuro - lists.cnsorg.org

Computational postdoctoral position in the lab of Nancy Kopell
by McCarthy, Michelle M Feb. 25, 2021

Feb. 25, 2021

The group of N. Kopell has an opening for an energetic postdoctoral fellow who will work with experimentalists Don Arnold, Scott Fraser and others on fear conditioning and extinction in zebra fish. Such learning is known to involve temporally complex alterations in multiple brain rhythms in multiple areas of the brain, and the postdoc will work with the Kopell group and the experimentalists to understand the origin of the rhythmic changes and the effects on plasticity needed for conditioning and extinction. The relevant data involve state of the art imaging with a spatial resolution of single spines and temporal resolution fast enough to record fast brain oscillations. The relevant computations will involve networks of biophysically detailed model neurons. The successful applicant will have some background in neuroscience and experience in coding with biophysically detailed equations. Some mathematical background is desirable. If you are interested, please email Kopell: nk(a)bu.edu<mailto:nk@bu.edu>, and have three letters of recommendation sent to her via email. Also include a CV and a statement of research interests.

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Adrienne L Fairhall Feb. 25, 2021

Feb. 25, 2021

We are thrilled to announce the *Shanahan Foundation Fellowship at the Interface of Data and Neuroscience* co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) in Seattle. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to *Integrate Data Scientists into Neuroscience Research*. Fellows will receive interdisiplinary co-mentorship by scientists from the Allen Institute and University of Washington. Data science is broadly interpreted to include those with PhD level training in relevant areas including physical sciences, mathematics, statistics and computer science. Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda…

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Shanahan Foundation Fellowship at the Interface of Data and Neuroscience
by Anton Arkhipov Feb. 25, 2021

Feb. 25, 2021

Announcing the Shanahan Foundation Fellowship at the Interface of Data and Neuroscience co-hosted by the Allen Institute and the University of Washington (through its eScience Institute and the Computational Neuroscience Center) and directed by Christof Koch, Ph.D.<https://alleninstitute.org/what-we-do/brain-science/about/team/staff-profil…>, Chief Scientist for the MindScope Program at the Allen Institute. The fellowships are funded by the Shanahan Family Foundation and the Allen Institute. This three-year data science postdoctoral fellowship program aims to Integrate Data Scientists into Neuroscience Research and provides Multidisciplinary, Multi-organizational Co-Mentorship (from the Allen Institute and University of Washington). Please see details and application instructions here: https://alleninstitute.org/what-we-do/brain-science/careers/shanahan-founda… Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> [Text Description automatically generated] alleninstitute.org<https://alleninstitute.org> brain-map.org

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CFP for PhD candidates in SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING
by Chaabane Djeraba Feb. 25, 2021

Feb. 25, 2021

The FOX research team from the CRIStAL laboratory (UMR CNRS) of Lille University - FR, in collaboration with bio-inspired team of Kent University - UK is looking for PhD student candidates on the following subject : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Title : SPIKE NEURAL NETWORK FOR ATMOSPHERIC DATA MINING Abstract of the PhD subject : The objective of the PhD thesis is the study of bio-inspired pattern recognition of atmospheric phenomena, from earth observation satellite. In particular, the thesis project studies neuromorphic learning approach for the classification of spatiotemporal image sequences available in large quantities and without terrain truth or with very limited terrain truth. The data are aerosols, collected from earth observation satellites. The results of the thesis will contribute to make a large amount of atmospheric data accessible, even exploitable by the scientific community in the domain of the detection, tracking and prediction of the air quality. We are looking for excellent PhD candidates in thre domain of AI applied to atmospheric data. Key words : Spike neural network, Machine learning, Artificial intelligence, atmospheric data mining Candidates must hold a Master degree in Computer Science, Mathematics, Statistics. Experience in one or more of the following is a plus: • image processing, computer vision; • machine learning; • research methodology (literature review, experimentation…). Candidates should have the following skills: • good proficiency in English, both spoken and written; • scientific writing; • programming (experience in Python, Java or C++). More details are available here : https://filesender.renater.fr/?s=download&token=76a3ba06-63af-43a7-a34a-40e… The PHD thesis will be funded in the framework of the AI_PhD@Lille program. http://www.isite-ulne.fr/index.php/en/phd-in-artificial-intelligence/ http://www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_… www.isite-ulne.fr/wp-content/uploads/2021/02/Thèses-IA_Campagne2021_I_Site… The candidate will be funded for 3 years; he/she is expected to defend his/her thesis and graduate by the end of the contract. The monthly gross salary is around 2000€, including benefits (health insurance, retirement fund, and paid vacations). Additional financial support is expected in the framework of the AI_PhD@Lille program. The position is located in Lille, France. With over 110 000 students, the metropolitan area of Lille is one France's top education student cities. The European Doctoral College Lille Nord-Pas de Calais is headquartered in Lille Metropole and includes 3,000 PhD Doctorate students supported by university research laboratories. Lille has a convenient location in the European high-speed rail network. It lies on the Eurostar line to London (1:20 hour journey). The French TGV network also puts it only 1 hour from Paris, 35 mn from Brussels, and a short trips to other major centres in France such as Paris, Marseille and Lyon. We look forward to receiving your application as soon as possible, but no later than 20.03.2021. — Chaabane Djeraba (PhD), Professeur, Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, Bat. IRCICA, 50 avenue Halley, 59650 Villeneuve d’Ascq, France, chabane.djeraba(a)univ-lille.fr

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Open Master, PhD and Postdoc positions in Germany
by Tatjana Tchumatchenko Feb. 25, 2021

Feb. 25, 2021

Dear friends and colleagues, I would appreciate if you could spread the word among your students and postdocs. My group which is now at the University of Bonn is looking for Master Students, PhD Students and Postdocs Master Students, PhD Students or Postdocs interested in understanding how neuronal networks work, how they respond to stimuli and what role connectivity and single neuron dynamics play for the activity of the brain. Though the focus of my research is on the theory side, my lab has close ties to experimentally oriented labs and Master projects could include both theory and experiments. We are looking for bright and hard-working students with a life-science or quantitative background (physics, math, biology etc). The following PhD projects are currently open: 1) A project exploring the intersection of protein dynamics and machine learning 2) A project designing models describing protein dynamics in dendrites and analyzing imaging data, https://jobrxiv.org/job/institute-of-experimental-epileptology-and-cognitio… The postdoctoral position will address the relation between neurological diseases, protein dynamics and network activity. When applying please attach a CV (with a publication record) and a current copy of academic transcripts and mention at least one academic reference. For more information, please contact Prof. Tatjana Tchumatchenko via email tatjana.tchumatchenko(a)uni-bonn.de https://twitter.com/TTchumatchenko www.tchumatchenko.de

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PhD position in cognitively-inspired reinforcement learning for robotics at Sheffield, UK
by Aditya Gilra Feb. 25, 2021

Feb. 25, 2021

Dear all, Announcing a PhD position with Dr Aditya Gilra and Dr James Law at the University of Sheffield, UK on "Incorporating self- and world-models in neural networks for flexible robot learning and control". The position is funded for 3.5 years by the EPSRC. Details at: https://www.findaphd.com/phds/project/incorporating-self-and-world-models-i… Candidates will be interviewed on a rolling basis as the applications come in. International (non-UK) candidates are advised to apply well in advance of the 7th March deadline. Don't hesitate to email back for further details. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science, University of Sheffield, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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Three Post-Doc / Research Associate positions in 'Causal eXplainable Reinforcement Learning' project at Sheffield / Vienna / Lille
by Aditya Gilra Feb. 25, 2021

Feb. 25, 2021

Dear All, Announcing three post-doc / research associate openings to work closely together as part of a ~3 year Chist-Era project, to develop causal inference methods for explainable actions in reinforcement learning ( https://www.chistera.eu/projects/causalxrl) starting in ~Q2, 2021: -> At the University of Sheffield with Dr Aditya Gilra and Prof Eleni Vasilaki, with an emphasis on biologically-plausible neural circuits -- https://www.jobs.ac.uk/job/CEH708/research-associate-in-causal-explainable-… (Deadline: 18th March 2021, but might be extended). -> At the University of Vienna with Prof Moritz Grosse-Wentrup, with an emphasis on causal inference and brain-computer interfaces -- https://ni.cs.univie.ac.at/ (ad to appear). -> At INRIA Lille with Prof Philippe Preux, with an emphasis on reinforcement learning and applications -- https://jobs.inria.fr/public/classic/en/offres/2020-03209 (Deadline: 31st March 2021). Please feel free to email back for any further information. Best, Aditya. -- Aditya Gilra, Lecturer (Assistant Professor), Machine Learning Group <https://www.sheffield.ac.uk/dcs/research/groups/machine-learning> & Neuroscience Institute <https://www.sheffield.ac.uk/neuroscience-institute/research/computational-a…> , Department of Computer Science <https://www.sheffield.ac.uk/dcs>, University of Sheffield <https://www.sheffield.ac.uk/>, UK. https://www.sheffield.ac.uk/dcs/people/academic/aditya-gilra http://www.adityagilra.net/

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Call for a Postdoctoral Researcher in Cognitive and Computational Neuroscience
by Sidarus, Nura Feb. 24, 2021

Feb. 24, 2021

Dear colleagues, Applications are invited for a Post-doctoral Researcher to work with Dr Nura Sidarus as part of the ESRC funded project “A Computational Approach to Understanding Maladaptive Cognition in Depression”, at Royal Holloway University of London. The project will investigate the neurocomputational mechanisms of maladaptive cognition underlying depressive symptoms, through online, clinical, and neuroimaging studies focusing on attribution and value-based decision-making and learning. We are looking for talented, highly-skilled and motivated researchers with a PhD in a related field (e.g. neuroscience, psychology or cognitive science), with considerable experience applying mathematical modelling techniques to data. Strong abilities in programming and statistics are essential. Expertise in neuroscience of mental health and fMRI are highly desirable. The preferred start date is Summer 2021, or as soon as can be arranged, for up to December 2022. Informal enquiries may be made to Dr Nura Sidarus at Nura.Sidarus(a)rhul.ac.uk<mailto:Nura.Sidarus@rhul.ac.uk> and more information about the grant can be found here<https://gtr.ukri.org/project/87F3B93A-C9BD-4240-BBDC-7596C165DFBF>. Deadline: 6 April 2021 Full details and how apply at: https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0221-029<https://jobs.royalholloway.ac.uk/vacancy.aspx?ref=0221-029> Best wishes, Nura. __________________________________________________________ Dr Nura Sidarus (she/her) Lecturer | Department of Psychology Royal Holloway University of London | Egham | Surrey | TW20 0EX Office: Wolfson 248 | Tel: +44 (0) 1784 44 3717 Affiliate Member | Institute of Cognitive Neuroscience, UCL nura.sidarus(a)rhul.ac.uk<mailto:%20nura.sidarus@rhul.ac.uk> | www.nurasidarus.com<http://www.nurasidarus.com/> __________________________________________________________ This email, its contents and any attachments are intended solely for the addressee and may contain confidential information. In certain circumstances, it may also be subject to legal privilege. Any unauthorised use, disclosure, or copying is not permitted. If you have received this email in error, please notify us and immediately and permanently delete it. Any views or opinions expressed in personal emails are solely those of the author and do not necessarily represent those of Royal Holloway, University of London. It is your responsibility to ensure that this email and any attachments are virus free.

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Tenure Track in Complex Systems/Neurophysics
by Andre Longtin Feb. 24, 2021

Feb. 24, 2021

Tenure-track Position in Theoretical Physics of Complex Systems University of Ottawa, Faculty of Science The Department of Physics of the University of Ottawa seeks to fill a tenure-track position in theoretical physics of complex systems. Theoretical neurophysics/artificial intelligence is the main target area for this search, but strong applicants working in complex systems more broadly applied to biological physics, condensed matter physics, photonics, statistical physics, and nonlinear dynamics will be considered. Title of the position: Assistant level but exceptional candidates at higher academic levels are also encouraged to apply. Duties: The functions of a member of the academic staff include, in varying proportions: a) teaching activities; b) scholarly activities pertaining to research and/or professional work; c) academic service activities, d) supervision of graduate students. Terms: Tenure-track position. Wage: As per collective agreement. Benefits package: The University of Ottawa provides a complete compensation package which includes long term disability, basic group life insurance, supplementary health insurance, University of Ottawa Pension Plan, optional life insurance and paid leaves (including maternity, parental and academic leaves: https://hrdocrh.uottawa.ca/info/en-ca/apuo/index.html) Location of work: Department of Physics, University of Ottawa, STEM Complex, 150 Louis-Pasteur, Ottawa, ON K1N 6N5. Contact information: James Harden, Chair, Department of Physics: phychair(a)uottawa.ca<mailto:phychair@uottawa.ca> . Skills requirements: * Education: Ph.D. or equivalent in Physics. * Work experience: Due to the bilingual nature of our major undergraduate program, the successful candidate should be able to teach in French within a year of the appointment. The candidate is expected to lead a vigorous research program, and to contribute to teaching in the major and honors BSc in Physics as well as at the graduate level. We expect a demonstrated interest in interacting with other theorists and experimentalists in the department as well as in the Centre for Neural Dynamics and the Brain and Mind Research Institute, the Centre for Research in Photonics, the Max Planck-uOttawa Centre for Extreme and Quantum Photonics, and/or the Centre for Advanced Materials Research. Posting No.: 21016-SCI www.uottawa.ca/vice-president-academic/faculty-relations/faculty-recruitmen… Application deadline: April 30, 2021. The application material consists of a CV, a two-page summary of research plans and a one-page teaching statement, along with the contact information for three referees. The application should be emailed to Sophie Grimard (sgrimard(a)uottawa.ca<mailto:sgrimard@uottawa.ca>), secretary to the Chair Prof. James Harden, by April 30, 2021. The University of Ottawa is committed to ensuring equity, diversity and inclusion in the scholarly and leadership environments of our students, staff, and faculty. Accordingly, we strongly encourage applications from Indigenous persons, visible minorities members (racialized persons), persons with disabilities, women, as well as from all qualified candidates with the skills and knowledge to productively engage with equitable, diverse and inclusive communities. Candidates who wish to be considered as a member of one or more designated groups are asked to complete the confidential Self-Identiﬁcation Questionnaire, to be completed at the time of application. Please take note of this posting number. This questionnaire can be found online. According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadians and permanent residents. When submitting your application, please indicate if you are legally entitled to work in Canada. The University of Ottawa provides accommodations for applicants with disabilities throughout the recruitment process. If you are invited to proceed in the selection process, please notify us of any accommodations that you require by contacting the Office of the Vice-Provost, Faculty Relations at 613-562-5958. Any information you send us will be handled respectfully and in complete confidence. The University of Ottawa is proud of its 160-year tradition of bilingualism. Through its Official Languages and Bilingualism Institute, the University provides training to staff members and to their spouses in their second official language. At the time of tenure, professors are expected to have the ability to function in a bilingual setting. Notice of Collection of Personal Information In accordance with the Freedom of Information and Protection of Privacy Act (Ontario) and with University Policy 90, your personal information is collected under the authority of the University of Ottawa Act, 1965 and is intended to be used for the purpose of and those consistent with your employment application and the administration of your employment relationship, if established. If you have any questions regarding this collection of personal information, please contact Office of the Vice-Provost, Faculty Relations at (613) 562-5958 or by email at vra.affairesprofessorales(a)uottawa.ca<mailto:vra.affairesprofessorales@uottawa.ca>.

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'What is self-organizaton?' -- Entropy sepcial issue
by Claudius Gros Feb. 24, 2021

Feb. 24, 2021

Dear colleagues Together with Damian Zanette, we are editing a an Entropy special issue around a question, that is of particular interest to the neurosciences: 'What is self-organizaton?' Deadline: 15 October 2021 https://www.mdpi.com/journal/entropy/special_issues/self_organzation ------ info ------ Many of us have used the notion of `self-organization' in our studies. What is it precisely, though? A constituent element could be, e.g., the emergence of non-trivial properties from comparatively simple rules. What would simple, non-trivial or complex emergence mean in this context? In this Special Issue, we invite viewpoints, perspectives, and applied considerations on questions regarding the notions of self-organization and complexity. Examples include: Routes In how many different ways can self-organization manifest itself? Would it be meaningful, or even possible, to attempt a classification? Detection Can we detect it automatically, either the process or the outcome? Or do we need a human observer to classify a system as `self-organizing'? This issue may be related to the construction of quantifiers, e.g., in terms of functions on phase space, such as entropy measures. Complexity Is a system self-organizing only when the resulting dynamical state is `complex'? What does `complex' mean exactly? Are there many types of complexity, or just a single one? E.g., it has never been settled whether complexity should be intensive or extensive, if any. Domains Where do we find self-organizing processes? Are the properties of self-organizing systems domain-specific or universal? In which class of systems does self-organization show up most clearly? 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 ###

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