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Virtual Training Webinar: Introduction to the Neuroscience Gateway Using NEURON and EEGLAB; November 20, 2020; 9:30 AM - 12:30 PM US Pacific Time
by Majumdar, Amitava Nov. 4, 2020

Nov. 4, 2020

Date of Neuroscience Gateway training webinar: Friday, November 20, 2020 Time: 9:30 AM - 12:30 PM US Pacific Time Registration is free (but total registration is limited): https://www.sdsc.edu/event_items/202011_NSGwebinar.html The Neuroscience Gateway (NSG<https://www.nsgportal.org/index.html>) enables large scale modeling and data processing research in neuroscience. NSG provides easy to use web portal based and programmatic access to supercomputing and high throughput computing resources. NSG is free and open to researchers and students. NSG provides about 20 widely used neuroscience software<https://www.nsgportal.org/software.html> for modeling, simulation, data processing, data analysis and machine learning optimally installed on supercomputing and high throughput computing resources. Neuroscientists who plan to use NSG for their research, irrespective of which of the NSG-provided neuroscience software they may use, will find this webinar useful. This webinar will provide training on how to use the NSG and its various features within the context of two widely used neuroscience software for modeling and data processing - NEURON and EEGLAB. The NEURON<https://neuron.yale.edu/neuron/> simulation environment is used by researchers and students worldwide for building and using computational models of neurons and networks of neurons. EEGLAB<https://sccn.ucsd.edu/eeglab/index.php> is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics. We will also talk about a new supercomputer called Expanse<https://www.sdsc.edu/services/hpc/expanse/> that is becoming available to NSG for running these software. NSG is funded by the US National Science Foundation and National Institutes of Health. Agenda (listed in Pacific Time) * 9:30am - 9:50am: Introduction to NSG * Amit Majumdar, Kenneth Yoshimoto, Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 9:50am - 10:10am: Demo of using NSG - via the portal and the programmatic REST access * Subhashini Sivagnanam, San Diego Supercomputer Center, University of California San Diego * 10:10am - 10:35am: Introduction to NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:35am - 10:55am: Demo of using NSG for NEURON * Ted Carnevale, Department of Neurobiology, Yale University * 10:55am - 11:10am: Break * 11:10am - 11:30am: Introduction to EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 11:30am - 12:10pm: Demo of using NSG for EEGLAB * Arnaud Delorme, Swartz Center for Computational Neuroscience, University of California San Diego * 12:10pm - 12:30pm: Q&A For questions, please email nsghelp(a)sdsc.edu -Amit Majumdar NSG Team San Diego Supercomputer Center University of California San Diego

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Two year postdoctoral position in Computational Neuroscience at the European Neuroscience Institute
by Jaramillo, Jorge Hernan Hoyos Nov. 4, 2020

Nov. 4, 2020

Dear Colleagues, The Distributed Neural Dynamics and Control group at the European Neuroscience Institute (ENI) in Göttingen, Germany invites applications for a two year postdoctoral position focused on the simulation of subcortical and cortical dynamics in the context of cognitive function and clinical applications. A quantitative background and programming skills are required (e.g., PhD in Computational Neuroscience, Physics, Engineering), while experience with dynamical systems and previous exposure to neurobiology are preferred. Details of the position and application instructions can be found here: https://www.umg.eu/karriere/stellenangebote/stellenanzeigen-detail/?jobId=3… Application deadline: 15 Nov, 2020 Start: January 2021. Women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment. For any questions about the position, please contact Jorge Jaramillo ( j.jaramillo(a)eni-g.de ). Jorge Jaramillo ENI Group Leader: Distributed Neural Dynamics and Control http://www.eni-g.de/groups/distributed-neural-dynamics

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Postdoctoral Research Assistant in Learning Algorithms for Neurmorphic Computing, Stralsund, Germany
by André Grüning Nov. 4, 2020

Nov. 4, 2020

In the lab of Prof Gruening and within the EU-funded research project "The Human Brain Project" we are offering a 24months fixed-term postdoctoral post, available immediately. ‍The formal job ad can be found at https://www.hochschule-stralsund.de/host/aktuelles/stellenangebote/ (in German only), but feel free to contact me informally in person and in English at <mailto:andre.gruening@hochschule-stralsund.de>. ‍Welcome to the University of Applied Sciences Stralsund! With our campus on the shores of the Baltic Sea, we deliver industrial related studies with excellent job prospects to about 2300 students. Life on our campus is characterised by excellent facilities for both teaching and research and flat hierarchies. The historical centre of the UNESCO world heritage town of Stralsund is within easy reach on foot; maritime water sports, nature and the island of Rugia at our doorstep stand for the highest quality of life. As a certified family-friendly institution we embrace modern life and a proper work-life balance. We are looking forward to meeting people who are keen to strengthen our research team and are advertising the following fixed-term post, subject to confirmation of funding: **Research Assistant (f/m/d) in the EU-funded research project “The Human Brain Project”** The post is available immediately for 24 months (full-time) for a postdoctoral candidate. You will be working in the area of artificial intelligence based on neuromorphic hardware. Neuromorphic hardware is a modern and active area of research with the aim to design devices for artificial intelligence that utilise the spike-based operation of biological nervous systems. The energy consumption of such systems for example promises to be an order of magnitude less than classical AI systems. Neuromorphic systems are being developed within academic research as well as in industry. The work will be carried out in close cooperation with research groups across Europe that are partners in the Human Brain Project, for example groups at the Universities of Heidelberg, Bern or Manchester. **Your job responsibilities include the following:** - Development, implementation and evaluation of learning rules for artificial spiking neural networks with the aim to realise deep learning on neuromorphic hardware. - Contribution to and cooperation within the international framework of the EU/H2020 Flagship project “The Human Brain Project”, see <https://www.humanbrainproject.eu/> in the area described above. - Participation in project management and reporting. **We expect from you:** - A PhD in a relevant area, for example computer science, mathematics, physics, cognitive science and neuroscience or engineering. - Programming experience, for example Python, C, C++. Experience with embedded systems is a plus. - Experience within the area of artificial neural networks. - Keen interest to familiarise yourself with the neuroscientific foundations of the project. - Experience with Unix-like operating systems and tool chains. - Experience in the write up of scientific reports and publications. Experience with LaTeX is a plus. - Experience with presenting research results. - Solid mathematical expertise. - A conscientious, independent and self-motivated attitude towards work. **We offer:** - A diverse, interesting and challenging job at an innovative, modern and family friendly institution in the lively world-heritage and Hanseatic town of Stralsund. - A work contract subject to the collective labour agreement of the public service of the German federal states (TV-L). - Remuneration up to pay grade 13 subject to personal and collective qualifying conditions. - 40 hrs/week; part-time and flexible work is possible. The University of Applied Science Stralsund is keen to increase the proportion of female employees in all areas where they are underrepresented. We therefore expressly invite qualified women to apply. As a certified family-friendly institution we support actions to reconcile family and job. Childcare can be arranged for a potential future interview. At an equal level of professional aptitude, applicants with recognised disabilities or equivalent (please provide evidence) will be preferred. For details of the job description, please contact Prof André Grüning (E-Mail: <mailto:andre.gruening@hochschule-stralsund.de>). According to §68 Abs 3 PersVG M-V, the Employee Committee (Personalrat) gets involved into HR matters for research staff only on the candidate’s request. If desired, please include such request in free form within your application documents. Please send your job application with all relevant documents in a single pdf file to <mailto:bewerbungpersonal@hochschule-stralsund.de> or by mail to Hochschule Stralsund Vertrauliche Personalangelegenheit Dezernat Personal, Haushalt und Controlling Zur Schwedenschanze 15 18435 Stralsund on or before the **deadline of 15.11.2020**. Thereafter applications will be reviewed until the post is filled. The protection of your personal data is very important to us. We will therefore collect, process and utilise any data arising in the application process only in line with the applicable data protection regulations. As application documents cannot be returned, please submit copies only. The University of Applied Sciences Stralsund does not cover any application expenses, including those arising for a potential interview. -- Prof. Dr. André Grüning -- Mathematik und Künstliche Intelligenz Fakultät Elektrotechnik und Informatik Hochschule Stralsund -- Mathematics and Computational Intelligence Faculty of Electrical Engineering and Computer Science University of Applied Sciences Stralsund -- 18435 Stralsund Deutschland/Germany

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NEURON Virtual Course deadline approaching
by Ted Carnevale Nov. 4, 2020

Nov. 4, 2020

*What:* The one-day NEURON course presented as a series of short webinars. *When:* The webinars will run from 1 PM to 3 PM New York time on Monday and Tuesday, Nov. 16 and 17, and on Monday and Tuesday, Nov. 23 and 24, 2020 *Speakers:* Ted Carnevale and Robert McDougal Registration is on a first-come, first-serve basis, and the deadline is Friday, November 13, 2020 at 5 PM New York time. There is no fee, but *total registration will be limited to 40 individuals* in order to be most responsive to participants' questions. For more information and a link to the application form: https://neuron.yale.edu/neuron/static/courses/nrn2020/nrn2020.html

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Deadline extended to Nov. 15th Postdoctoral position for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.
by Jochem Rieger Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open post-doc level position for 3+2 years at the Neuroimaging Unit of Uni Oldenburg for the development of tools and infrastructure for open data data and reproducible science based on the BIDS standard. The position complemented by a full time technician position for support. The announcement is below. Please contact me if you have questions. We are looking forward to applications, Jochem The Neuroimaging Unit at the School of Medicine and Health Sciences of the Carl von Ossietzky Universität Oldenburg is seeking to fill the position of a *Postdoctoral Research Associate m/f/d *(Salary level E13 TVL, 100%) *for the development of acquisition, storage and processing pipelines for reproducible science building on the BIDS standard.* The position is embedded in a DFG Core Facility grant and is available*as soon as possible*for a duration of three years (with the possibility to extend another two years after successful project evaluation). The position is suitable for part-time work. In a newly funded project we aim to implement data storage and processing pipelines for reproducible science building on the BIDS standard. The Neuroimaging Unit hosts a state of the art MEG (Elekta Triux) and an MRI (Siemens Prisma 3T) and is embedded in an excellent interdisciplinary scientific environment with a strong research focus on neurosensory, neurocognitive, and medical research. The successful candidate is expected to actively contribute to the implementation of neuroscience data acquisition, storage, and reproducible analysis pipelines building on the BIDS standard at the University of Oldenburg, to contribute to community efforts, and dissemination. Therefore, candidates are expected to have an academic university degree (Master or equivalent) in the field of informatics, engineering, neuroscience or psychology and have shown their ability to perform excellent scientific work, demonstrated by the outstanding quality of their doctorate/PhD research and an excellent publication record. Prior experience with the BIDS standard as well as its programming, experience with neuroimaging techniques and data analysis (especially fMR or MEG/EEG) and fluency in English is required. Experience with open science tools and databases, other neurophysiological modalities, as well as knowledge of German are desirable. The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification. Please send your application including a cover letter, CV, list of potential referees, links to recent publications and copies of certificates for academic grades to Prof. Jochem Rieger, Department of Psychology, University of Oldenburg, 26111 Oldenburg, Germany; (jochem.rieger(a)uni-oldenburg.de <mailto:jochem.rieger@uni-oldenburg.de>). Electronic applications (one pdf file) are preferred. For inquiries please use the same contact. The application deadline is*15th of November 2020*. -- Prof. Dr. rer. nat. Jochem Rieger Head of Applied Neurocognitive Psychology Head of Neuroimaging Unit Faculty VI Carl-von-Ossietzky University 26111 Oldenburg Germany Phone: +49(0)4417984533 Fax: +49(0)4417983865

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computational neuroscience postdoc at Harvard
by Sam Gershman Nov. 3, 2020

Nov. 3, 2020

The Gershman lab <http://gershmanlab.webfactional.com> at Harvard University is seeking a postdoctoral fellow to work on modeling of the basal ganglia and dopamine function. The postdoc will work closely with experimentalists as part of an NIH-funded U19 grant. Candidates must have a strong background in computational neuroscience and reinforcement learning models. Experience with neural data analysis is desirable but not required. The start date for this position is on or around September 1, 2021, but this can be flexibly adjusted as needed. The position is fully funded for 3 years. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law. Interested applicants should contact Sam Gershman (gershman(a)fas.harvard.edu) along with a CV and list of references.

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faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at McMaster University
by Sue Becker Nov. 3, 2020

Nov. 3, 2020

Dear colleagues, We have an open faculty position at the Assistant Professor level in Computational Approaches to Psychology, Neuroscience and Behaviour. The candidate could conduct computational research in a wide range of areas. Please see the job advert and the link below for details. https://careers.mcmaster.ca/psp/prepprd/EMPLOYEE/HRMS/c/HRS_HRAM.HRS_APP_SC… Please feel free to share this with others who may be interested. thanks and best wishes, Sue -- Sue Becker, Professor Neurotechnology and Neuroplasticity Lab, PI Dept. of Psychology Neuroscience & Behaviour, McMaster University www.science.mcmaster.ca/pnb/department/becker [1] Tenure-Track Assistant Professor in Computational Approaches to Psychology, Neuroscience & Behaviour McMaster University is located on the traditional territories of the Haudenosaunee and Mississauga Nations, and within the lands protected by the Dish with One Spoon wampum agreement. _Position Description_ The Department of Psychology, Neuroscience & Behaviour at McMaster University in Hamilton, Ontario, Canada invites applications for a full-time, tenure-track faculty position in Computational Approaches to Psychology, Neuroscience & Behaviour at the Assistant Professor level, beginning July 1, 2021. The successful candidate will use computational models to investigate fundamental questions related to psychology, neuroscience, and/or behaviour. Applications from any area that applies computational modelling to understand neural function or behaviour are welcome. Applications from early-career candidates are especially encouraged. Areas of interest include, but are not limited to, big data analytics and machine learning applied to neural or behavioural data, computational models of reward and motivation, computational models of learning and memory, computational models of social interactions, and computational models of spatial navigation. The candidate could apply models to any level of analysis, from neurons to circuits to systems to populations. The Department of Psychology, Neuroscience & Behaviour has long-standing strengths in cognitive and computational neuroscience, sensory systems and behavioural neuroscience, perception, cognition, development, evolutionary psychology, and animal behaviour. We value and encourage collaboration among researchers and educators, and have close ties with the Departments of Biology, Kinesiology, Music, Electrical & Computer Engineering, and Psychiatry & Behavioural Neuroscience. Many of our faculty are affiliated with McMaster's interdisciplinary graduate programs in Neuroscience and Computational Science & Engineering. For more information on the Department, please visit https://www.science.mcmaster.ca/pnb/ McMaster University is a globally renowned institution of higher learning and a research community committed to advancing human and societal health and well-being. Our focus on collaboratively exchanging ideas and approaches makes us uniquely positioned to pioneer ground-breaking solutions to real-world problems leading to a Brighter World. The Faculty of Science works to create global impact by advancing scientific discovery and knowledge, and promoting greater understanding. Our innovative, interdisciplinary approach generates new methods and insights, results, and lasting change. _Commitment to Inclusive Excellence_ The diversity of our workforce is at the core of our innovation and creativity and strengthens our research and teaching excellence. In keeping with its Statement on Building an Inclusive Community with a Shared Purpose, McMaster University strives to embody the values of respect, collaboration and diversity, and has a strong commitment to employment equity. The University seeks qualified candidates who share our commitment to equity and inclusion, who will contribute to the diversification of ideas and perspectives, and especially welcomes applications from First Nations, Métis and Inuit peoples, members of racialized communities ("visible minorities"), persons with disabilities, women, persons who identify as 2SLGBTQ+. We invite all applicants to complete a brief Diversity Survey, which takes approximately two minutes to complete, through McMaster's application submission portal. All questions are voluntary, with an option to decline to answer. All information collected is confidential and will be used to support efforts to broaden the diversity of the applicant pool and to promote a fair, equitable and inclusive talent acquisition process. Job applicants requiring accommodation to participate in the hiring process should contact the Office of the Dean, Faculty of Science at baileyd(a)mcmaster.ca to communicate accommodation needs. _How to Apply_ Complete applications must be made online at https://hr.mcmaster.ca/careers/current-opportunities/ (Faculty Positions, Job 34946) by the deadline to the attention of Dr. Bruce Milliken, Professor & Chair, Department of Psychology, Neuroscience & Behaviour, McMaster University, 1280 Main Street West, Hamilton, Ontario, L8S 4K1. A complete application consists of: * a cover letter (including a statement regarding whether the applicant has Canadian citizenship/permanent resident status (see below)) * a current Curriculum Vitae, and three (3) representative publications (reprints or preprints) * a statement of research interests (2-page maximum) * a statement of teaching philosophy and interests (2-page maximum) * a statement of experience and plans for advancing equity, diversity and inclusion in post-secondary education, community-based or other professional settings (2-page maximum) * the names and full contact information of at least three referees. o Letters of reference are not required and will not be reviewed at the application stage; the Department will request letters of recommendation from referees at later stages of the search process. Review of complete applications will begin December 10, 2020 and continue until the position is filled. All applicants will receive an on-line, system-generated confirmation of receipt of their application; however, only short-listed applicants will be contacted for interviews. Please be advised that any full-time, permanent faculty member of the Department can request confidential access to the application materials, including the reference letters. Progressive policies are in place to assist faculty members achieve a work-life balance. Salary will be commensurate with qualifications and experience. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority. To comply with the Government of Canada's reporting requirements, the University is obliged to gather information about applicants' status as either Canadian citizens or Permanent Residents of Canada. Applicants need not identify their country of origin or current citizenship; however, all applications, as stated above, MUST include one of the following statements in their application package: "I am/am not a citizen or permanent resident of Canada." Applications that do not include this information will be deemed incomplete. Links: ------ [1] http://www.science.mcmaster.ca/pnb/department/becker

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Fully-funded PhD Positions in Neuroscience in Germany and US | IMPRS for Brain and Behavior
by Ezgi Bulca Nov. 3, 2020

Nov. 3, 2020

Dear all, Our PhD applications are open, please forward it to people who might be interested. 15 fully-funded PhD Positions in Neuroscience | IMPRS for Brain and Behavior Bonn, Germany & Jupiter, Florida (USA) Looking for a PhD position in neuroscience? Apply to our fully-funded, international PhD program in the Max Planck Society! IMPRS for Brain and Behavior is a transatlantic collaboration between the Max Planck associated caesar in Bonn and the University of Bonn, along with the USA partners Max Planck Florida Institute for Neuroscience (MPFI) and Florida Atlantic University. The Projects More than 40 labs with an enormous variety of research projects are seeking outstanding PhD candidates to join their research. See our website (https://www.imprs-brain-behavior.org/research/faculty/) for further information on our faculty and possible doctoral projects. Topics include but are not limited to circuits and behavior, learning and memory, sensory processing, molecular signaling in neurons, nervous system development, biophysics of neurons and glia, and disorders of the nervous system. Successful candidates will work in a young and dynamic, interdisciplinary, international environment, embedded in the local scientific communities in Bonn or Jupiter. Your Profile Proven track record of academic and research excellence. Bachelor's or Master's degree (or equivalent) in life sciences, physics, mathematics, computer science, engineering, or other relevant subject (Degree should be concluded before admission to the PhD, latest by October 2021). Fluency in written and spoken English. Research experience is of advantage. Our Offer Immersion in a stimulating scientific culture of interaction and international cooperation. State-of-the art facilities with novel scientific technologies and advanced infrastructure. Dedicated support and mentoring personnel. Competitive salary funded for the whole duration of studies and no tuition fees. We are committed to diversity and equal opportunity for all applicants. Application deadline: November 15, 2020 https://www.imprs-brain-behavior.org/admissions/application-info/ You will need: CV, letter of motivation, contact info for 2 referees, academic certificates and transcripts. Only online applications accepted. Short-listed candidates will be (virtually) interviewed in January-February. Positions must be started latest in October 2021. If you have any questions, feel free to contact the coordinator Ezgi Bulca at imprs.info(a)caesar.de<mailto:imprs.info@caesar.de> . All the best, Ezgi Bulca Ezgi Bulca IMPRS for Brain & Behavior Coordinator phone +49/228/9656-318 e-mail: ezgi.bulca(a)caesar.de<mailto:ezgi.bulca@caesar.de> www.imprs-brain-behavior.mpg.de<http://www.imprs-brain-behavior.mpg.de> research center caesar center of advanced european studies and research an associate of the Max Planck Society Ludwig-Erhard-Allee 2 53175 Bonn, Germany www.caesar.de<http://www.caesar.de/>

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PhD and post-doctoral positions in computational neuroscience and speech production, University of Geneva, Switzerland
by Timothée Proix Nov. 3, 2020

Nov. 3, 2020

One PhD and one postdoctoral positions are available under the supervision of Timothée Proix (https://timothee.proix.ch) in the Auditory Language Group led by Prof. Anne-Lise Giraud (https://neurocenter-unige.ch/research-groups/anne-lise-giraud) at the University of Geneva, Geneva, Switzerland. The project aims at developing a large-scale model of speech production using intracranial EEG data, and lies at the interface between data analysis, dynamical systems modeling, and machine learning. *Postdoctoral position. *The candidate will contribute to acquisition and analysis of intracranial EEG data and speech recordings. Applicants should have solid bases in maths/physics/bioengineering, prior experience in electrophysiological recordings and data analysis, as well as programming and machine learning skills. *P**hD** position. *The candidate will develop theoretical tools using dynamical systems theory to model neural activity during speech production. Applicants should hold a master degree in maths/physics/informatics/engineering. Previous experience in dynamical systems modeling, neuroscience, and programming will be valued. The research will be performed at the campus Biotech in the university of Geneva, a vibrant and stimulating environment for neuroscience research. The positions are funded by the Swiss National Science Foundation, and salaries are in compliance with their guidelines. The ideal start is early 2021, with some flexibility. Applications will be considered until the positions are filled. To apply, send a motivation letter, CV, and contact information for 2-3 references, as well as any other relevant documents to timothee.proix (at) unige.ch. Best regards, Timothée Proix

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Modellers Workshop for the Brain Dynamics Toolbox, Nov 1-21 2020.
by Stewart Heitmann Nov. 1, 2020

Nov. 1, 2020

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course Nov 1-21, 2020 The Brain Dynamics Toolbox is an open toolbox for simulating dynamical systems in neuroscience. This is a self-paced course is for researchers, students and instructors who wish to use the toolbox to build their own dynamical models. Participants learn the art of programming differential equations in Matlab and how to use the toolbox to solve those equations interactively. Topics include programming Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations, Stochastic Differential Equations, Auxiliary Plot Functions and command-line tools. Example code is provided in all cases. Course Website https://bdtoolbox.org/p/modellers-workshop/ Important Dates Enrolments ($125) close 21st November, 2020. Stewart Heitmann | Computational Scientist Victor Chang Cardiac Research Institute | Lowy Packer Building | 405 Liverpool St, Darlinghurst NSW 2010 Australia E: s.heitmann(a)victorchang.edu.au<mailto:s.heitmann@victorchang.edu.au> | @VictorChangInst Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

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Gatsby Unit PhD Programme
by Maneesh Sahani Oct. 31, 2020

Oct. 31, 2020

We're currently accepting applications for 2021 entry to the 4-year Gatsby Unit PhD programme at University College London. The Unit studies the fundamental principles of learning, perception and action in brains and machines. Ours is one of the original programmes to bring together neuroscience and machine learning, creating a critical mass for interaction amongst theoreticians in related fields. First-year courses provide training in both fields, after which thesis research may specialise in one or the other or encompass both. Students are able to work closely with colleagues in the Sainsbury Wellcome Centre for Neural Circuits and Behaviour (SWC, with which we share a purpose-designed building), or the cross-faculty Centre for Computational Statistics and Machine Learning (CSML); and we have links to many world-class research groups in related departments at UCL and beyond. Applicants should have a very strong analytical and mathematical background, a keen interest in neuroscience and/or machine learning and a relevant first degree, for example in Computer Science, Engineering, Mathematics, Neuroscience, Physics, Psychology or Statistics. Full funding is available regardless of nationality. For more details and how to apply, see: http://www.gatsby.ucl.ac.uk/teaching/phd Information about the Unit and our research interests can be found at http://www.gatsby.ucl.ac.uk/about.html, http://www.gatsby.ucl.ac.uk/research.html, and the individual faculty webpages at http://www.gatsby.ucl.ac.uk/Members.html. Applications must be received by 15th November 2020. Please direct enquiries to admissions(a)gatsby.ucl.ac.uk. -- Maneesh Sahani, Ph.D. Professor of Theoretical Neuroscience and Machine Learning, Director, Gatsby Computational Neuroscience Unit UCL, 25 Howland Street, London W1T 4JG

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postdoc and PhD positions in Budapest
by Balazs Ujfalussy Oct. 31, 2020

Oct. 31, 2020

The newly established Laboratory of Biological Computation (https://biocomplab.wordpress.com/) is looking for highly motivated postdoctoral fellows and PhD students to investigate the role of hippocampus in model based planning and predictions. The focus of our laboratory is to understand how various biological phenomena (e.g., ion channels, dendritic spikes, synaptic clustering or theta sequences) contribute to the behaviorally relevant computations performed by the hippocampus. To achieve this we develop novel theories connecting hippocampal circuit dynamics to network function, combine biophysical modelling with in vivo-like input patterns and develop new tools for statistical analysis of hippocampal single neuron and populations activity patterns. The positions with a competitive salary are available from January 1st, 2021, initially for 1 year with the possibility of extension up to 5 years. We offer a stimulating environment in the Institute of Experimental Medicine, Budapest and active collaboration with experimental groups in the institute with the potential to get involved in the design of novel 2P imaging and virtual reality experiments in mice and/or in analysing the data. The ideal candidate has a strong background in quantitative disciplines (physics, math, computer science) and is competent in programming (e.g. python, matlab, R, C). It is an advantage to have an experience in biophysical modelling or analysis of in vivo population activity data (imaging or electrophysiology). Please send your CV, publication list, letter of motivation and contact information for at least two references to Balazs Ujfalussy (ujfalussy.balazs(a)koki.hu) The first evaluation round will begin on November 18th, 2020. The positions will remain open until filled. With best regards, Balazs Ujfalussy

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Postdoctoral Fellow, Boston University School of Medicine, Luebke & Killiany labs
by Klaus Wimmer Oct. 30, 2020

Oct. 30, 2020

We are seeking a highly motivated and detail-oriented postdoctoral fellow with a track record in research applying magnetic resonance imaging and image processing. The central goal of the binational (Boston and Barcelona) CRCNS project is to advance our understanding of the computational and neural mechanisms underlying working memory as well as age-related changes to executive function. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting-state fMRI, and diffusion spectrum imaging (DSI) brain scans with an overall focus on brain morphometry and connectivity. Data generated from the MRI scans will be correlated with behavioral, physiological, and other anatomical data across the adult life span. This work will be part of a highly interdisciplinary project (psychophysics, imaging, anatomy, electrophysiological experiments, innovative data analysis and computational modeling) and includes the possibility for extended research stays at the Center for Mathematical Research in Barcelona, Spain (Wimmer lab <https://sites.google.com/view/wimmerlab>). The appointment as a Boston University School of Medicine postdoctoral fellow (supervised by Jennifer Luebke <http://www.bumc.bu.edu/anatneuro/our-people/faculty/luebke/> and Ronald J. Killiany <http://www.bumc.bu.edu/anatneuro/our-people/faculty/killiany/>) will be for at least 1 year with the possibility for extension based on performance. REQUIRED SKILLS: *Assist in the acquisition of MR data *Set up a pipeline for the analysis of the MRI scans *Manage image sets/data and perform quality assurance on both *Coordinate data sharing between collaborating laboratories in Boston and Barcelona *Preparation of manuscripts and scientific presentations *For questions or informal inquiries contact: Dr. Jennifer Luebke at * *jluebke(a)bu.edu* <jluebke(a)bu.edu> *Application materials must be submitted through **BU's HR website <https://bu.silkroad.com/epostings/index.cfm?fuseaction=app.jobinfo&id=23&jo…>* *.* -- Klaus Wimmer Ramón y Cajal researcher at Centre de Recerca Matemàtica Campus de Bellaterra, Edifici C 08193 Bellaterra (Barcelona) Spain Tel. +34 935 86 85 15 https://sites.google.com/view/wimmerlab

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[jobs] Postdoctoral position in “Cognition for safety and ergonomics for human-robot interaction in unstructured workspaces” at Italian Institute of Technology (IIT)
by Francesco Rea Oct. 29, 2020

Oct. 29, 2020

COgNiTive Architecture for Collaborative Technologies Research Line at Istituto Italiano di Tecnologia in Erzelli, Genoa, is seeking to appoint one postdoctoral position focusing on the assessment of engagement with safety and ergonomic work, the design of proactive measures and counter measures for safety preservation, the optimization of ergonomics, design of software infrastructure for social interaction with the mobile and dexterous co-robot. The first goal of the research is redesigning cognition for safety and ergonomics for human-robot collaboration in manufacturing and construction unstructured workspaces. The second goal is to support the design of new multipurpose robotics for collaboration (co-robots) in manufacturing processes. The selected candidate will work with a multidisciplinary consortium of participants to the recently awarded project VOJEXT, Value Of Joint EXperimentation in digital Technologies for manufacturing and construction (H2020 DT-ICT-03-2020, n. 952197). The candidate will work with different robotic platforms for human-robot interaction in manufacturing and construction sites selected together with the consortium and with different sensorial setups specifically designed to assess ergonomics and safety associated with the workers in unstructured manufacturing and constructions settings. Apply online at https://iit.taleo.net/careersection/ex/jobdetail.ftl?lang=en&job=20000042 The research for this postdoctoral position will involve: * Sensing of human working conditions for social, safe and ergonomic based on human-robot collaboration in unstructured manufacturing and construction settings * Design of control systems for mobile robots for Safety in human-robot collaboration * Development of a system improving human-robot social collaboration in unstructured manufacturing and construction sites * Development of a system improving ergonomics and mitigating health and safety risks in open and unstructured environments

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NEURONUS 2020 IBRO Neuroscience Forum - registration open 3 more days!
by Michał Zaręba Oct. 28, 2020

Oct. 28, 2020

*REGISTRATION for NEURONUS 2020 IBRO Neuroscience Forum (8-11 December 2020, ONLINE) is open only for THREE MORE DAYS! The fee has been reduced to 12€. **More information and registration forms can be found on our website: **http://neuronusforum.pl/* <http://neuronusforum.pl/>*.* The program of the conference consists of numerous sessions on biological, cognitive, computational and medical aspects of neuroscience, creating a dynamic environment for sharing knowledge. The schedule of the meeting is further complemented with lectures by invited guests. This year’s keynote speakers include: - *Karl Friston *(University College London, the UK) - *Pico Caroni *(University of Basel, Switzerland) - *Karin Roelofs *(Radboud University Nijmegen, the Netherlands) - *Alejandro Schinder *(Leloir Institute, Buenos Aires, Argentina) - *Adam Hampshire *(Imperial College London, the UK) - *Dayu Lin *(New York University School of Medicine, the USA) Furthermore, a special panel concerning the Future of Neuroscience will be held. We have confirmed participation of three pioneering researchers: - *Viktor Jirsa *(Aix-Marseille University, France) - *Panayiota Poirazi* (Institute of Molecular Biology and Biotechnology, Heraklion, Greece) - *Dominik Paquet *(Ludwig Maximilian University of Munich, Germany) During the upcoming 11th edition of the conference, we will traditionally continue to put *emphasis on development of early-career researchers*. The main purpose of this event is to provide means for both young and experienced neuroscientists to share the latest discoveries, knowledge and experience in neuroscience, as well as make valuable contacts with scientists representing various fields of neurobiology. We actively promote young scientists through preferentially allocating oral presentations of their experimental results. We strongly encourage you to join this special initiative, and hope to see you soon! On behalf of the Organising Committee, Michał Zaręba

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Launch of World Wide Theoretical Neuroscience Seminar on November, 4, 2020 at 11am EST
by David Hansel Oct. 28, 2020

Oct. 28, 2020

Dear Colleagues, We are happy to announce the launch of the World Wide Theoretical Neuroscience Seminar (WWTNS). WWTNS is a weekly digital seminar on Zoom targeting the theoretical neuroscience community. Its aim is to be a platform of exchange among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars are 45 min long followed by a discussion and are held on Wednesdays at 5 pm in Western Europe, /i.e./, 11 am EST. The talks are recorded with authorization of the speaker and will be available to everybody on our YouTube channel. The first seminar will be on *November, 4, 2020 at 11am EST.* The speaker will be Larry Abbott (Columbia University). The title of his talk is: /Vector Addition in the Navigational Circuits of the Fly/// The abstract of the talk is available on the WWTNS website: http://www.wwtns.online/ *To participate in the seminar you need to fill out a registration form https://www.wwtns.online/register-page after which you will**receive an email telling you how to connect.* We would be grateful if you could forward this email to all those who may be interested. Looking forward to seeing you soon, David Hansel & Carl van Vreeswijk

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PhD position, University of Exeter, UK
by Roman Borisyuk Oct. 28, 2020

Oct. 28, 2020

The University of Exeter is recruiting a PhD student to work on an exciting project to investigate theoretically how neural networks can dynamically transition between multiple behaviours. This BBSRC-funded project is open to students from Mathematics, Physics, Natural Sciences, and Computer Science. The successful candidate will develop new neural network models of rhythmic activity in the tadpole spinal cord. They will use these models to analyse how network behaviour adapts to different sensory inputs. Data for model development will be provided by world-class electrophysiologists, who will also test predictions made by the model. This project will uncover cellular-level and network-level mechanisms that enable dynamic circuit reconfiguration in response to a changing environment. For more information on the project and instructions for applying, please visit http://www.exeter.ac.uk/studying/funding/award/?id=3975. Please contact the project investigators with any question: Joël Tabak j.tabak(a)exeter.ac.uk<mailto:j.tabak@exeter.ac.uk> Roman Borisyuk r.m.borisyuk(a)exeter.ac.uk<mailto:r.m.borisyuk@exeter.ac.uk> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, University of Plymouth accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. University of Plymouth does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale
by Murray, John Oct. 28, 2020

Oct. 28, 2020

Postdoctoral Swartz Fellowship Positions in Theoretical and Computational Neuroscience at Yale University The Swartz Center for Theoretical Neurobiology at Yale University invites applications for up to two postdoctoral positions in Theoretical and Computational Neuroscience, with flexible start date in 2021. Competitive candidates include those with a strong quantitative background who wish to gain neuroscience research experience. We especially encourage candidates with an interest in collaborating directly with experimental neuroscientists. The candidates will be expected to perform theoretical/computational studies relevant to one or more laboratories of the Swartz Center at Yale (for a list of affiliated faculty, see: https://medicine.yale.edu/neuroscience/swartz/corelabs.aspx) and will be encouraged to participate in an expanding quantitative biology environment at Yale. Candidates must hold a Ph.D. or equivalent degree by the time of beginning the fellowship. Please send a CV, selected (p)reprints, contact information for two or three references, and a statement of research interests including which laboratories at Yale are of interest. All application materials should be sent electronically to the following e-mail address: john.murray(a)yale.edu<mailto:john.murray@yale.edu>. Applications will be reviewed as they are received, but priority will be given to those received on or before January 15, 2021. For any questions, please contact John Murray. Yale University is an affirmative action/equal opportunity employer. Yale values diversity in its faculty, students, and staff and especially welcomes applications from women and underrepresented minorities. https://neurojobs.sfn.org/job/27534/postdoctoral-swartz-fellowship-position… John D. Murray ----------------------------------------------- Assistant Professor of Psychiatry, Physics, and Neuroscience Yale University murraylab.yale.edu<http://murraylab.yale.edu/> -----------------------------------------------

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SMILES virtual workshop @ICDL 2020
by Xavier Hinaut Oct. 28, 2020

Oct. 28, 2020

The SMILES (Sensorimotor Interaction, Language and Embodiment of Symbols) Workshop will take place virtually at the ICDL 2020 (International Conference on Developmental Learning). * Call for abstracts and papers: - Deadline: 25th of September 2020 - papers abstracts: 2 pages - long papers: 4-6 pages - Submissions: smiles.conf(a)gmail.com <mailto:smiles.conf@gmail.com> - Papers format: same as ICDL conference https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd… <https://cis.ieee.org/publications/t-cognitive-and-developmental-systems/tcd…> - Workshop dates (coming soon): the days before or after the ICDL conference (26-30 October 2020) * Workshop Short Description On the one hand, models of sensorimotor interaction are embodied in the environment and in the interaction with other agents. On the other hand, recent Deep Learning development of Natural Language Processing (NLP) models allow to capture increasing language complexity (e.g. compositional representations, word embedding, long term dependencies). However, those NLP models are disembodied in the sense that they are learned from static datasets of text or speech. How can we bridge the gap from low-level sensorimotor interaction to high-level compositional symbolic communication? The SMILES workshop will address this issue through -an interdisciplinary approach involving researchers from (but not limited to): - Sensori-motor learning, - Emergent communication in multi-agent systems, - Chunking of perceptuo-motor gestures (gestures in a general sense: motor, vocal, ...), - Sensori-motor learning, - Symbol grounding and symbol emergence, - Compositional representations for communication and action sequence, - Hierarchical representations of temporal information, - Language processing and acquisition in brains and machines, - Models of animal communication, - Understanding composition and temporal processing in neural network models, and - Enaction, active perception, perception-action loop. * More info - contact: smiles.conf(a)gmail.com <mailto:smiles.conf@gmail.com> - organizers: Xavier Hinaut, Clement Moulin-Frier, Silvia Pagliarini, Joni Zhong, Loo CHU KIONG, Michael Spranger, Tadahiro Taniguchi - invited speakers (coming soon) - workshop website (comming soon): https://sites.google.com/view/smiles-workshop/ <https://sites.google.com/view/smiles-workshop/> - ICDL conference website: https://cdstc.gitlab.io/icdl-2020/ <https://cdstc.gitlab.io/icdl-2020/> * Workshop Long Description Recently Deep Learning networks have broken many benchmarks in Natural Language Processing (NLP), e.g. [1]. Such breakthroughs are realized by a few mechanisms (e.g. continuous representations like word embedding, attention mechanism, ...). However, no equivalent finding happened towards the understanding of which mechanisms enable the brain to perform similar functions. Deep Learning does not reproduce learning mechanisms nor the dynamics of the brain. The brain needs to parse incoming stimuli and learn from them incrementally, it cannot unfold time like deep learning algorithms such as Back-propagation through time (BPTT). Thus, we still lack the key neuronal mechanisms needed to properly model the (hierarchies of) functions in language perception and production. Other models of language processing reproducing the behavior of brain dynamics (Event-Related-Potentials (ERPs) [2] or functional Magnetic Resonance Imaging (fMRI) [3]) have been developed. However, such model softens lack explanatory power demonstrating the causes of such observed dynamics: i.e. what is computed and why is it computed – for which purpose? We need more biologically plausible learning mechanisms while producing causal explanations of the experimental data modelled. There is converging evidence that language production and comprehension are not separated processes in a modular mind, they are rather interwoven, and this interweaving is what enables people to predict themselves and each other [4].Interweaving of action and perception is important because it allows a learning agent (or a baby) to learn from its own actions: for instance, by learning the perceptual consequences(e.g. the heard sounds) of its own actions (e.g. vocal productions) during babbling [5]. Thus, the agent learns in a self-supervised way instead of relying only on supervised learning, which in contrast, imply non-biological teacher signals cleverly designed by the modeler. Explicit neuronal models explaining which are the mechanisms shaping these perceptuo-motor units through development are missing. The existence of sensorimotor (i.e. mirror) neurons at abstract representation levels (often called action-perception circuits [6]), jointly with the perceptuo-motor shaping of sensorimotor gestures [5], suggest the existence of similar action-perception mechanisms implemented at different levels of hierarchy. How could we go towards such hierarchical architectures based on action-perception mechanisms? Importantly, a language processing model needs a way to acquire the semantics of the (symbolic) perceptuo-motor gestures and of the more abstract representations, otherwise it would consider only morphosyntactic and prosodic featuresof language. These symbolic gestures, i.e. signs, need to be grounded to the mental concept, i.e. signified, they are representing. Several theories and robotic experiments give examples of how symbols could be grounded or how symbols could emerge [7]. However, current neurocomputational models aiming to explain brain processes are not grounded. Robotics have an important role here for the grounding of semantics by experiencing the world through interactions with the physical world and with humans. We need mechanisms that start from raw sensory perception and raw motor commands in order to let emerge plausible representations through development, instead of arbitrary representations. Finally, computational models of emergent communication in agent populations are currently gaining interest in the machine learning community [8], [9]. These contributions show how a communication system can emerge to solve cooperative tasks in sequential environments. However, they are still relatively disconnected from the earlier theoretical and computational literature aiming at understanding how language might have emerged from a prelinguistic substance [10], [11]. We need to conceive communication as the emergent result of a collective behavior optimization process and to ground the resulting computational models into the theoretical literature from language evolution research. The SMILES workshop will aim at discussing each of the questions mentioned above, together with original approaches on how to integrate them. [1] J. Devlin et al., 2018. [2] H. Brouwer and J. C. J. Hoeks, 2013. [3] M. Garagnani et al. 2008. [4] M. J. Pickering and S. Garrod, 2013. [5] J.-L. Schwartz et al., 2012. [6] F. Pulvermüller and L. Fadiga, 2010. [7] T. Taniguchi et al., 2016. [8] S. Sukhbaatar et al.,2016. [9] I. Mordatch and P. Abbeel, 2017. [10] M. Tomasello et al., 2005. [11] P.-Y. Oudeyer and L. Smith, 2015. Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com

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Scientist I position at the Allen Institute - Bio-realistic Modeling of Reconstructed Cortical Tissue
by Anton Arkhipov Oct. 27, 2020

Oct. 27, 2020

Scientist I - Bio-realistic Modeling of Reconstructed Cortical Tissue https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1415274 Our mission at the Allen Institute is to advance our understanding of how the brain works in health and disease. Using a team science approach, we strive to discover how the brain implements fundamental computations through the integration of technological innovation, cutting-edge experiments, modeling, and theory. The Allen Institute is seeking exceptional candidates for a BRAIN Initiative-funded position of Scientist in our Seattle-based multidisciplinary organization. The Scientist will join the computational team of Anton Arkhipov and will focus on data analysis and modeling of structure, activity, and computations in mouse cortical circuits. This project will take advantage of unprecedented experimental datasets from the Allen Institute that contain a systematic characterization of synaptic connections between the cell types (https://portal.brain-map.org/explore/connectivity/synaptic-physiology) and a connectome of individual neurons coupled with dense recordings of activity in the mouse visual cortex (https://microns-explorer.org<https://microns-explorer.org/>). The Scientist will work collaboratively with colleagues to integrate these data into new, highly realistic network models of cortical circuits, use the models to explore theoretical predictions, and provide them as a resource to fuel future theoretical, modeling, and experimental work in the community. Our computational team collaborates closely with experimentalists to build systematic classifications of structure and function of the mouse visual cortex based on high-throughput recordings in vitro (e.g., Gouwens et al., Nature Neurosci., 2019; Gouwens et al., Cell, in press, 2020, https://doi.org/10.1101/2020.02.03.932244) and in vivo (e.g., Siegle et al., Nature, in press, 2020, https://doi.org/10.1101/805010) Using systematically constructed models of neurons from diverse types, we are building and simulating data-driven, highly realistic models of the mouse visual cortex (Arkhipov et al., PLOS Comp. Bio., 2018; Billeh et al., Neuron, 2020; https://portal.brain-map.org/explore/models) The team also develops and disseminates modeling software (https://alleninstitute.github.io/bmtk/; https://github.com/AllenInstitute/sonata) Join us to analyze world-class experimental data and build the next generation of brain models! Essential Functions * Collaborate with in-house experimentalists to analyze data from the synaptic physiology and 2-photon calcium imaging/electron microscopy connectomics datasets. * Use these data to build and simulate models of cortical circuits, in order to study mechanisms connecting circuit structure and function. * Publish/present findings in peer-reviewed journals/scientific conferences. Required Education and Experience * PhD degree in Neuroscience, Physics, Applied Mathematics, or related fields. * 0-2 years of post-doctoral experience. * Strong publication record. * Track record of scientific excellence and independent thinking. Preferred Education and Experience * Experience in computational neuroscience and/or systems neuroscience is preferred, but other strong applicants will be considered (with background in computational physics, biophysics, and related disciplines). * Candidates with strong background in experimental systems neuroscience, willing to switch to computational work, are encouraged to apply. * Experience with scientific programming (e.g., in Python) and sharing/collaborative development of software (e.g., GitHub) is a plus. Physical Demands * Fine motor movements in fingers/hands to operate computers and other office equipment; lab equipment Position Type/Expected Hours of Work * This role is currently able to work remotely due to COVID-19 and our focus on employee safety; this may change, and you may be required to work onsite at our South Lake Union office as safety restrictions are lifted in relation to COVID-19. It is the policy of the Allen Institute to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, the Allen Institute will provide reasonable accommodations for qualified individuals with disabilities. Apply here: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1415274

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New release of the Comp-Neuro Fedora Linux operating system for computational neuroscience is now available for download
by Ankur Sinha Oct. 27, 2020

Oct. 27, 2020

Hello everyone, (Apologies for the cross posts) I am happy to announce that the latest release of the Comp-Neuro Fedora Linux based operating system for computational neuroscience research is now available for download from: https://labs.fedoraproject.org/comp-neuro/ For those that prefer torrents to direct server downloads, it can also be downloaded here: https://torrent.fedoraproject.org/ Detailed documentation can be accessed at: https://neuro.fedoraproject.org Based on the Fedora Workstation OS[1], the Comp-Neuro installer image includes a plethora of computational neuroscience software[2]. This includes: - commonly used simulators: NEST, NEURON, Brian2, Arbor, Auryn, CalC, COPASI, GENESIS, MOOSE; - the complete Python 3.9 science stack: Matplotlib, Jupyter notebooks, Numpy, Pandas, Pillow, Scikit-image, Scikit-learn, Scipy, Statsmodels, Sympy, *and* other utilities such as GNU Octave. Comp-Neuro Fedora also uses the popular and modern GNOME desktop environment[3], and so includes all the productivity tools that are part of the latest GNOME 3.38 release. Further, more software that is not included in the installation media can also be installed from the Fedora software repositories[4] and from FlatHub[5]. The ISO installer image is a "live" image, which means one can also run the operating system directly off the image without installing it to disk Fedora, and so Comp-Neuro Fedora is completely Free and Open Source Software, which is free for everyone to use, share, study, and modify. It is developed by the volunteer community driven NeuroFedora Special Interest Group (SIG). Any feedback and comments are most welcome[6]. If you develop software for neuroscience research, please consider getting in touch with the NeuroFedora community to help us include it in NeuroFedora. Everyone is welcome to join the community and work on whatever tasks they find interesting[7]. No prior knowledge or skills are expected. [1] https://getfedora.org/en/workstation/ [2] https://docs.fedoraproject.org/en-US/neurofedora/compneuro-tools/ [3] https://www.gnome.org/ [4] https://docs.fedoraproject.org/en-US/neurofedora/software/ [5] https://flathub.org/home [6] https://docs.fedoraproject.org/en-US/neurofedora/communicating/ [7] https://docs.fedoraproject.org/en-US/neurofedora/contributing/ On behalf of the NeuroFedora community, -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Job opportunity - Postdoctoral Sleep Researcher at Bitbrain (Zaragoza, Spain)
by Eduardo López-Larraz Oct. 27, 2020

Oct. 27, 2020

We are looking for a postdoctoral sleep researcher to join Bitbrain <https://www.bitbrain.com/> and work on an EU-funded neurotechnology research project. The main objective will be to exploit some of the most recent advances in sleep research to develop interventions based on cutting-edge wearable neurotechnology for sleep (and sleep-mediated cognitive processes) improvement. The candidate will join Bitbrain <https://www.bitbrain.com/>’s interdisciplinary R&D department of applied neuroscience and neurotechnology and will lead all the R&D activities related to sleep. The candidate will have to: 1) design the R&D strategy of this new area in the company, which will require attending and participating in international events and networks, and 2) design and carry out a feasibility study in sleep improvement using innovative and practical technologies that can be used outside the lab. The position is initially offered for 12 months and includes a relocation and training package. *Requirements*: Sleep expert with a PhD degree in Neuroscience, Psychology, Biomedical Engineering or similar. Strong background in sleep research, understanding of EEG (required) and brain stimulation (desirable). Project management skills. Problem solving and potential of growth. English is required, Spanish is a plus. *We offer*: - Competitive salary. Benefits associated with mobility and family. - Possibility of doing part of the work remotely (to be discussed). - Work-life balance. * Starting date: *01.03.2021 *Application Deadline*: 15.12.2020 More information and application procedure: https://euraxess.ec.europa.eu/jobs/545040

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postdoc position with Christopher Rozell at Georgia Tech
by Christopher Rozell Oct. 27, 2020

Oct. 27, 2020

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.

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[virtual event] - neuromorphic colloquium
by Chiara Bartolozzi Oct. 26, 2020

Oct. 26, 2020

The NEUROTECH Educational Team is organizing a webinar series on neuromorphic computing technologies. The objective is to offer 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. The first webinar will be on the 3rd of November at 16 CET and the question of the day is: “What is Neuromorphic Engineering?”. The first speakers are: Prof. Giacomo Indiveri, Prof. Steven Furber, Prof. Bernabé Linares-Barranco and Prof. Kwabena Boahen. You can register for free here: https://neurotech.iniforum.ch/educational/ Join us and spread the word! This initiative is supported as part of the NEUROTECH EU-H2020 coordination and support action. ----------------------------------------------------------------------------------------------------------------------------------------- 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 Follow us on LinkedIN: NEUROTECHAI

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Postdoc position in Bologna
by Andrea Santamaria Oct. 26, 2020

Oct. 26, 2020

Dear Sirs, We are the ERC Project INSCRIBE Invention of Scripts and their Beginnings. Sorry for having forget the title, which I've now included in the object as "Postdoc position in Bologna". We would therefore be delighted to share our announcement on your list. You can find the dame text here below in bold. The ERC Project INSCRIBE Invention of Scripts and their Beginnings, based at the University of Bologna, Italy, seeks candidates for a postdoctoral position in interdisciplinary research with expertise in computational neuroscience. The selected candidate will straddle the borders of neuroscience, cognition and the evolution of graphic codes, to apply quantitative methods to large databases with the goal of establishing commonalities worldwide in the evolution of symbols from a broadly cognitive, and more specifically, motor-driven and visual perspective. The ideal candidate will have earned a PhD in either neuroscience or neural computational sciences, with skills in statistical methods. The position is renewable on a yearly basis, up to three consecutive years and can be held remotely. Deadline: 28 October 2020. For more information on how to apply: https://site.unibo.it/inscribe/en/jobs or contact: s.ferrara(a)unibo.it. Thank you in advance and Kind Regards, Andrea Santamaria Get Outlook for Android<https://aka.ms/ghei36>

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