- Comp-neuro - lists.cnsorg.org

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers

by Dimitri Ognibene

[JOBS] 1 Post-Doc open Positions on AI-ML to understand and contrast social media threats for teenagers ######### Apologize for cross posting ######### Dear colleagues, University Milano-Bicocca is offering 1 postdoctoral position on machine learning and AI applied to understand and contrast social media threats for teenagers. The successful participant will be involved in the multidisciplinary project COURAGE funded by Volkswagen Foundation. The position is research starting in September 2022 Please contact us for expression of interest and preliminary information: dimitri.ognibene(a)unimib.it (PI) 1 Researcher Position Application Opens: Middle June (tbd) Application Closes: late June (tbd) Interview: 5th July h14 (CET) Starts: September 2022 Duration: 1.5 years (18 months) Salary: €2600 pm Work permit: valid permit to work in Italy from September 2022 is a strong asset Topics: Social media, NLP, machine learning, cognitive models, opinion dynamics, computer vision, reinforcement learning, graph neural network, recommender systems, network analysis Project: COURAGE https://www.upf.edu/web/courage Informal description of the job: Do social media harm teenagers and our society? Can we make them safer? Let's understand how to reshape social media algorithms together with this competitive research positions in #machinelearnig, #artificialintelliegence and #socialmedia modelling based in Università degli Studi di Milano-Bicocca on the project COURAGE #couragecompanion #AIforSocialGood We will use the state of the art in graph neural networks, reinforcement learning, nlp, cv, and machine learning in general to improve our understanding of social media dynamics, and help our society by supporting and teaching young people tackle hate speech and fake news in social media. Many opportunities for interdisciplinary and international research -- Dimitri Ognibene, PhD Associate Professor at Università Milano-Bicocca Honorary Lecturer of Computer science and Artificial Intelligence at University of Essex http://sites.google.com/site/dimitriognibenehomepage/ *Skype:* dimitri.ognibene

June 4, 2022

Postdoc position in computational systems neuroscience, Voigts Lab, Janelia

by Jakob Voigts

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs. We'll work on how neocortex builds and uses models of the world to give animals complex cognitive abilities. The lab will specifically attempt to go beyond repeated stimulus-response associations, instead using complex, naturalistic spatial behaviors in rodents to study flexible cognition. We'll be able to throw significant technology at the problem of combining sufficient measurements with complex naturalistic behavior, but more importantly we'll have to overcome the challenge of modeling, analyzing, and ultimately learning from data when there are few or no trials to average over. We will use experimental approaches, such as designing new tasks where mice make decisions based on incomplete knowledge of their environment, as well as developing new computational techniques to study circuit mechanisms in the context of unconstrained behaviours. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia, where there are unique resources for this type of work. We'll work closely with experimental, theoretical, methods, and machine learning researchers in and outside of Janelia to make this research program possible, collaborative, and fun. To apply, please send a cover letter, brief statement of research interests, and CV to voigtsj(a)janelia.hhmi.org Lab website: https://www.voigtslab.org

June 1, 2022

The KiloNeurons ERC project: post-doctoral position in theoretical neuroscience

by Yoram Burak

The Burak Lab at the Hebrew University is seeking to hire a postdoctoral research fellow in theoretical neuroscience. The postdoctoral fellow will take part in the ERC funded KiloNeurons project, led by Edvard Moser (Kavli Institute for Theoretical Neuroscience, NTNU) and Yoram Burak (Edmond and Lily Safra Center for Brain Sciences and the Racah Institute of Physics). The project aims to identify how thousands of neurons in the mammalian cortex interact with each other to achieve computational and cognitive functions. The KiloNeurons project offers opportunities to work on diverse theoretical and computational questions. These involve approaches ranging from pure theoretical modelling to analysis and interpretation of large-scale neural data. Theoretical tools include methods from nonlinear dynamics, machine learning, statistical physics, and information theory. A generous budget is available for travel between Israel and Norway to facilitate close interaction with members of the Moser lab, for travel and participation in scientific meetings, and for purchase of computing equipment. We are looking for candidates with excellent demonstrated abilities in theoretical research, strong intellectual curiosity and drive, a keen interest in computational neuroscience, and an interest in relating theory to experimental data. Candidates must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, computer science, or a related field. Experience with research related to machine learning, statistical physics, nonlinear dynamics, information theory, or large-scale data analysis, as well as prior familiarity with research in computational neuroscience are advantageous. To apply: please send the following information to kiloneurons-positions(a)elsc.huji.ac.il in a single PDF file: 1. Curriculum vitae 2. List of publications 3. Brief statement of research interests 4. The names and contact details of three references Deadline: For full consideration, applications should be received by June 30, 2022. ___ Yoram Burak Associate Professor Racah Institute of Physics, and Edmond and Lily Safra Center for Brain Sciences The Hebrew University of Jerusalem Goodman Brain Sciences Bldg 2102, Safra Campus, Jerusalem 91904, Israel p: +972-2-6584523 web: https://www.buraklab.me/

June 1, 2022

CNS*2022 satellite tutorials: free online sessions: June 27--July 1

by Ankur Sinha

Dear all, Apologies for the cross posts. https://ocns.github.io/SoftwareWG/pages/software-wg-satellite-tutorials-at-… The INCF/OCNS Software working group is organising 5 days of free online satellite tutorials ahead of the CNS*2022 conference. These tutorials will run from June 27--July 1 and feature sessions on: - Arbor - Brian2 - Introduction to containers - EBRAINS - GeNN - Keras/TensorFlow - LFPy - MOOSE - Neo + Elephant - NEST - NetPyNE - NeuroLib - NeuroML - NEURON - OSBv2 - RateML More information on the schedule and (free) registration will be published in the next week or so. Please do mark your calendars and spread to word to your colleagues, students, and anyone else who these may interest. For more information on the INCF/OCNS Software working group and how you can join our community, please visit our website: https://ocns.github.io/SoftwareWG/ -- 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

May 31, 2022

Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) at Hong Kong Baptist University

by COMP HKBU

The Department of Computer Science at Hong Kong Baptist University offers BSc, MSc, MPhil, and PhD programmes, and is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (3 vacancies) (PR0395/21-22)* The appointees will perform high-impact research, teach and supervise students at undergraduate and postgraduate levels, and contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) security and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, Art technologies and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. Initial appointment will be offered on a fixed-term contract of three years. Re-appointment thereafter will be subject to mutual agreement. For enquiries, please contact Professor Jianliang Xu, Head of Department (email: xujl(a)comp.hkbu.edu.hk) More information about the Department can be found at https://www.comp.hkbu.edu.hk. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with *PR *number (stated above) quoted on the letters, to the Human Resources Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://hro.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing date: Shortlisting will start immediately until the position is filled.* *URL: *https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=743

May 31, 2022

The Canadian Computational Neuroscience Spotlight is one week away!

by Scott Rich

Dear all, The third edition of the Canadian Computational Neuroscience Spotlight (CCNS) is just one week away. Our speaker list is now finalized, and can be found at ccnsmeeting.ca. The meeting will include keynote addresses from Drs. Viktor Jirsa, Gaute Einevoll, and Cendri Hutcherson, as well as a session on Neuro-AI with talks from Drs. Richard Naud, Milad Lankarany, Blake Richards, and Wilten Nicola. Register for the meeting at https://www.crowdcast.io/e/ccnsv3/register. We will be accepting late submissions for Trainee Talks until Wednesday at noon EDT. Please submit your abstracts at https://forms.gle/Vr1BsUZxjbSn1aFG7 for consideration. Sincerely, Scott Rich (on behalf of the organizing committee)

May 30, 2022

A YouTube playlist of 15 short videos for "A quick introduction to what is known about biological vision experimentally"

by Li Zhaoping

Dear colleagues, I have made this playlist "A quick introduction to what is known about biological vision experimentally" of 15 short video clips, each about 10 minutes long, see http://lizhaoping.org/zhaoping/QuickIntro_BiologicalVision_Playlist.html <https://t.co/Tfpa7epGAE> this is part of my effort for teaching materials for "Understanding vision: theory, models, and data" <http://www.lizhaoping.org/zhaoping/VideoLectures_ForBook.html>. Feedback most welcome, thank you! best Li Zhaoping -- Li Zhaoping, Ph.D. Prof. of Cognitive Science, University of Tuebingen Head of Department of Sensory and Sensorimotor Systems, Max Planck Institute for Biological Cybernetics Author of "Understanding vision: theory, models, and data", Oxford University Press, 2014 www.lizhaoping.org

May 27, 2022

PostDoc position at UCL: MEG and big data smartphone analysis

by Hauser, Tobias

PostDoc position at Max Planck UCL Centre for Computational Psychiatry with Dr Tobias Hauser We are looking for a PostDoc to work on exciting projects analysing already collected MEG and smartphone app data. We are looking for someone with experience in data analysis with behavioural and/or electrophysiological (MEG) data. The postdoc will be working on a MEG dataset of a novel task including a big patient sample. In addition, they will have the opportunity to analyse a large dataset of behavioural and questionnaire data from a smartphone app (www.brainexplorer.net<http://www.brainexplorer.net>). We are looking for someone with computational modelling, machine learning, or advanced neuroimaging data analysis expertise. The person will be based at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research and the Wellcome Centre for Human Neuroimaging, located in Central London. If you have further questions, please contact Tobias Hauser (t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk>). To read more about the research group, please see https://devcompsy.org/ Job advert here: https://atsv7.wcn.co.uk/search_engine/jobs.cgi?amNvZGU9MTg4NDY5NiZ2dF90ZW1w… Best Tobias -- Play smartphone games and help us understand the brain: www.brainexplorer.net<http://www.brainexplorer.net> Dr Tobias U. Hauser Sir Henry Dale Fellow, Principal Research Fellow Developmental Computational Psychiatry lab Max Planck UCL Centre for Computational Psychiatry & Ageing Research Wellcome Centre for Human Neuroimaging University College London 10-12 Russell Square London WC1B 5EH +44 207 679 5264 (internal: 45264) t.hauser(a)ucl.ac.uk<mailto:t.hauser@ucl.ac.uk> www.tobiasuhauser.com<http://www.tobiasuhauser.com/> www.devcompsy.org<http://www.devcompsy.org/>

May 26, 2022

PhD position offer: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks

by Elif Köksal

*Title*: Neuro-inspired macroscale model of tCS-induced changes on epileptic networks *Context*. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields. *Rationale. *Electrical stimulation (supra-threshold) and neuromodulation (sub-threshold) are two different methods that can be used to alter brain plasticity in order to lower hyperexcitability and subsequently decrease the occurrence of epileptiform events. These events are generated large-scale brain networks involving interconnected distant brain regions characterized by an increase of excitability. In this context, computational models are an efficient way to understand features of epileptiform events recorded in patients, either intracerebrally or from electrodes located on the scalp. In addition, it is an efficient tool to analyze the impact of tCS on the brain and optimize its therapeutic effect. *Objective. *This research focuses on neuromodulation induced by transcranial current stimulation (tCS). The objective of the proposed PhD position is to design a neuro-inspired macroscale model of the brain that will simulate electroencephalographic (EEG) signals under 2 conditions: spontaneous activity and tCS. The model will be able to simulate the activity of epileptogenic networks generating epileptic spikes during interictal periods. It will account for immediate (acute) and lasting (short- or long-term) effects of neuromodulatory weak electric fields, which remain elusive. Simulations will help the design of tCS-based neuromodulation strategies aimed at lowering interictal epileptic spikes. *Methods. *The model will start from previous results of the team (Merlet et al. PlosOne 2013, Bensaid et al. Frontiers in Neuroscience 2019). It will consist of a macroscale network of interconnected (edges) neural populations (nodes) located in the neocortex. Neurophysiological activity of each node will be generated by a neural mass model. The whole model will allow for simulation of normal and epileptic EEG activity (interictal spikes, ictal activity) under 2 conditions: spontaneous and tCS. Simulated signals will be compared to EEG signals recorded in patients under similar conditions. The model will be embedded into an existing software named COALIA developed in Python. tCS induced E-fields will be simulated using SimNibs (to start with) and with tools developed at Neuroelectrics. Optimal parameters reducing epileptic activity will be determined. *Scientific environment. *GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. *Candidate profile.* The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The candidate will preferably have some background in dynamical systems, computational neuroscience/systems biology or in electrical engineering, with experience in bio-signal processing and biophysics. Knowledge in electrophysiology and/or EEG analysis would be an asset. The PhD fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. - *Contract*. The position will start on 01/10/2022. The contract is for 3 years with possible extension (3 months). The salary will be defined according to Inserm rules regarding doctoral student remuneration. Deadline for application. 15/07/2022 Contact. Applicants must send a CV and a cover letter to: Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr Isabelle Merlet (CR Inserm, LTSI, France) Email: isabelle.merlet(a)inserm.fr Elif Koksal (Post-doc fellow, LTSI, France) Email: elif.koksal-ersoz(a)inserm.fr Pascal Benquet (Prof. Univ-Rennes1) Email: Pascal.Benquet(a)univ-rennes1.fr

May 26, 2022

Postdoc positions in NeuroAI

by Rui Ponte Costa

We are looking for two postdocs to work on deep learning-inspired computational neuroscience at the University of Bristol, United Kingdom. There are a number of exciting topics that you could contribute to: 1. Neuromodulated cortex-wide credit assignment 2. Subcortical facilitation of cortical learning 3. Theories of self-supervised learning in cortical circuits There are also opportunities to collaborate closely with leading cellular, systems and cellular neuroscientists, but also deep learning researchers. Successful candidates should have: - a strong quantitative background - keen interest in neuroscience - obtained (or be close to) a PhD in computational neuroscience, machine learning, physics, mathematics, computer science or similar. - ability to work in a strongly collaborative and interdisciplinary field Please express your interest by sending your cv and a brief statement of research interests to rui.costa(a)bristol.ac.uk<mailto:rui.costa@bristol.ac.uk> More info about our group at: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Lecturer (Assistant Professor) in Computational Neuroscience & Machine Learning Neural and Machine Learning group<https://neuralml.github.io/> Bristol Computational Neuroscience Unit<http://bristolcnu.github.io/>, Intelligent Systems Labs<https://www.bristol.ac.uk/engineering/research/intelligent-systems/> Faculty of Engineering & Bristol Neuroscience, University of Bristol<https://bristol.ac.uk/>, UK

May 26, 2022