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Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University

by Dr Jana Schaich Borg, Ph.D.

Interdisciplinary Computational Social Neuroscience Postdoc Opening at Duke University Our group has an opening for a postdoctoral position in the Social Science Research Institute, Duke Institute for Brain Sciences, and Department of Mathematics at Duke University. The focus of the postdoc position is on developing novel interpretable algorithms for identifying social interaction motifs and their typical temporal and hierarchical relationships during natural interactions. The methodological tools developed will first be applied to a highly novel dataset of human social interaction videos with associated behavioral and clinical outcomes. The methods will then be applied to the lab's datasets involving human MRI data during social decisions, human physiological and EEG data during social interactions, videos of rodent social interactions, or rodent LFP data during social interactions, depending on the applicants' primary interests and background. This is highly interdisciplinary position and line of research, so successful applicants may come from a variety of fields, including (but not limited to) neuroscience, cognitive science, mathematics, computer science, electrical engineering, biomedical engineering, and (bio)statistics. However, all applicants should have excellent coding skills, extensive experience with data analysis, and at least some experience with statistical modeling and prediction. Experience with image processing is ideal, but not required. Applicants who want to use the postdoc to deepen or broaden their existing skill sets, applications, or domain knowledge are welcomed. Neuroscientists who want mentorship in mathematical theory or engineers/mathematicians/statisticians who want mentorship in how to apply their skills to an exciting and dynamic field with theoretical, clinical, and commercial implications are particularly encouraged. The applicant will be co-mentored in neuroscience, social behavior theory, mathematical theory development, applied analysis, and job placement by Dr. Schaich Borg (Duke Institute for Brain Science, Social Science Research Institute) and Dr. Hau-Tieng Wu (Departments of Mathematics and Statistics). Timeline: The postdoc could start immediately, but later start dates are also available for appropriate candidates. Teaching: The position does not require any teaching, but teaching opportunities and teaching mentorship are available if the candidate is interested. Contact: Interested applicants should contact Dr. Schaich Borg (js524(a)duke.edu) through email, and include a CV, statement of research interests, and names of three referees that can provide letters of recommendation in the future, if needed. We are strongly committed to a diverse academic environment and place high priority on attracting underrepresented candidates. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Feb. 9, 2023

Call for Abstracts: 32st Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023

by Rubchinsky, Leonid L

Dear Colleagues, We are inviting abstracts for the 32nd Annual Computational Neuroscience Meeting (CNS*2023) in Leipzig, Germany, July 15-19, 2023. The main meeting begins the evening of Saturday, July 15 and runs through Tuesday, July 18. It will be preceded by a day of tutorials (Saturday, July 15) and followed by workshops (Tuesday, July 18 mixed with the main meeting and Wednesday, July 19 workshops only). Registration and abstract submission are opened now. Abstract submission deadline: March 20, 2023. Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply during the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission for main meeting: https://www.cnsorg.org/cns-2023-abstract-submission For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2023 Workshop proposals are being accepted at: https://www.cnsorg.org/cns-2023-call-for-workshops Tutorial proposals are being accepted at: https://www.cnsorg.org/cns-2023-call-for-tutorials With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

Feb. 6, 2023

Applications for 2023-24 entry OPEN:: MSc in Intelligent Vision, University of Lincoln (Lincoln, UK)

by Vassilis Cutsuridis

********************************************************************************** The MSc in INTELLIGENT VISION at the University of Lincoln (UK) ********************************************************************************** is now ACCEPTING APPLICATIONS for 2023-24 ENTRY. Note that places are limited and will be allocated on a first-come first-served basis. If you are considering this programme, we recommend applying now rather than later to avoid disappointment. This cutting-edge Masters course builds on the multi-disciplinary and strong research profiles of our staff. It equips students with the advanced knowledge and skills needed to develop the innovative solutions required by the emerging global AI Vision industry providing them also with an opportunity to consolidate their skills in a practical research project, possibly carried out in collaboration with a partner from industry. HOW TO APPLY ============= Download the online application from the following link and fill out all relevant information: https://www.lincoln.ac.uk/media/responsive2017/studywithus/postgraduatestud… Then click on the following link: https://uol.t1cloud.com/T1Default/CiAnywhere/Web/UOL/StudentCore/StudentApp… and follow the instructions. COURSE OUTLINE =============== This is a one-year (full-time) or two-years (part-time) MSc degree programme, consisting of taught courses (105 credits) plus a seminar based course (15 credits) and a research project and dissertation (60 credits). (Note: students who need a Tier-4 VISA to study in the UK can only register for the full-time pathway). It is designed for students with a good degree in physical (computer science, mathematics, physics, engineering) sciences, however, individuals with different backgrounds but commensurate experience will also be considered. The core modules of this course include: (a) Advanced artificial intelligence (theoretical fundamentals and practical applications of decision-making, problem-solving and learning abilities in software agents) (b) Advanced machine learning (theoretical fundamentals and practical application of supervised, unsupervised, reinforcement and evolutionary learning) (c) Computer Vision (applications of computer vision in object recognition/tracking, medical image analysis, multimedia indexing and retrieval and intelligent surveillance systems) (d) Neural Computing (fundamentals of an emergent specialised area of computer science that is concerned to describe how the brain computes by simplifying neuronal biology to a set of equations) (e) Big Data Analytics and Modelling (a range of aspects in collecting, transforming, processing, analysing and make inferences out of large amounts of data, which can either be signals or visual data) (f) Applied signal and image processing (a range of aspects in capturing, processing, analysing and interpreting n-dimensional signal and image content) (g) Research methods (fundamental skills and background knowledge students need to undertake a research project including: surveying literature; selecting and justifying a research topic; planning of research; selection of appropriate research methods; evaluation of research; presentation and reporting of research; and legal, social, ethical and professional considerations) (h) Frontiers in machine learning and computer vision (a seminar based module about the state of the art in machine learning and computer vision research, including an understanding of the theoretical developments and current applications in the field) (i) Research project The final research project can be carried out ‘in house’ or in collaboration with an external partner, either from academia or industry. For samples of previous MSc projects, visit: https://www.lincoln.ac.uk/course/intvisms/ under "Student Project Work" LINKS WITH INDUSTRY =================== The programme has active links with a number of collaborators from industry, including representatives from international companies with headquarters in UK, Greece, Germany, Spain, China, and US. Carrying out your final project in collaboration with one of our industry partners or securing a placement with them after completion of your degree will enable you to acquire modern technical skills that are much in demand, paving the way for employment opportunities and making you very competitive on the job market. For any further information, including funding opportunities and tuition fees, please visit: https://www.lincoln.ac.uk/studywithus/postgraduatestudy/feesandfunding/ Here is what our alumni have to say about this course: https://www.lincoln.ac.uk/course/intvisms/ For any other specific questions, please do not hesitate to get in touch. Kind regards, Vassilis Cutsuridis -- Programme Leader, MSc in Intelligent Vision Senior Lecturer School of Computer Science University of Lincoln Brayford Pool Lincoln LN6 7TS, UK https://staff.lincoln.ac.uk/vcutsuridis ******************************************************************************

Feb. 6, 2023

[EEG] PhD / Research Assistant position at University of Coimbra, Portugal

by maritametzler＠posteo.de

We are searching for a PhD candidate working on human-robot collaboration. Please have a look into the description below and in case of interest contact Art Pilacinski (art.pilacinski(a)gmail.com) or Sergi Bermudez I Badia (sergi.bermudez.badia(a)gmail.com) Best, Marita ---------- Forwarded message --------- From: Art Pilacinski <art.pilacinski(a)gmail.com> Date: Mon, Feb 6, 2023 at 1:05 PM Subject: [EEG] PhD / Research Assistant position at University of Coimbra, Portugal To: <spm(a)jiscmail.ac.uk> Cc: Sergi Bermudez i Badia <sergi.bermudez.badia(a)gmail.com> Hi everyone, We are searching for an enthusiastic candidate to work on a cool project using human biomarkers (EEG, eye tracking, EMG) and virtual reality to advance collaborative robotics. The project will take part at University of Coimbra and at University of Madeira, with collaborations in Germany and Spain. The position is initially for 3 years but multiple extension options are available. See more details here: https://proactionlab.fpce.uc.pt/en/news-entry/we-are-hiring- Please, feel free to forward this ad to whoever might be interested. Thanks, Art -- Art Pilacinski Researcher | Inv. Assist. Professor Klaes Lab | Proaction Lab Ruhr-University Bochum | University of Coimbra Bochum, Germany | Coimbra, Portugal klaeslab.de | proactionlab.fpce.uc.pt

Feb. 6, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Modellers Workshop for the Brain Dynamics Toolbox This online course is for researchers who wish to simulate user-defined dynamical models using the Brain Dynamics Toolbox (bdtoolbox.org<http://bdtoolbox.org>). The toolbox allows the dynamics of any model to be explored interactively with minimal programming effort. Video lectures guide the student through every step of the process with a practical focus on the art of programming differential equations. Topics include 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. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close Sun 12th Feb 2023. Textbook Heitmann & Breakspear (2022) Handbook for the Brain Dynamics Toolbox: Version 2022. ISBN 978-0-6450669-2-0. 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.

Feb. 4, 2023

Postdoc at University of Magdeburg, Germany

by Quian Quiroga, Rodrigo (Prof.)

The University of Magdeburg offers a 3-years postdoc position to study single cell recordings in humans, performed in epileptic patients for curative surgery. The project will investigate concept cells (a.k.a. Jennifer Aniston neurons) – that means, neurons in the hippocampus and surrounding areas that selectively fire to specific concepts, like different pictures and the written or spoken name of a particular person (e.g. Quian Quiroga et al, Nature 2005; Quian Quiroga, Cell 2019), which are involved in declarative memory functions. For more details see: https://web.archive.org/web/20220108024112/https://www2.le.ac.uk/centres/cs…<https://web.archive.org/web/20220108024112/https:/www2.le.ac.uk/centres/csn…> The successful candidate will contribute to performing recordings with patients and the analysis of the data to investigate the role of these neurons in memory. The candidate should have very good quantitative skills (data processing, and programing e.g. in Matlab) and a strong background or interest in neuroscience. The candidate should be able to work both independently and as part of a research team. The candidate will be primarily based at the Department of Neurology in Magdeburg (http://www.kneu.ovgu.de) and will work in close collaboration with the Leibniz Institute for Neurobiology (https://www.lin-magdeburg.org) and the Neurodegenerative Diseases Research Centre (https://www.dzne.de/en/) at the University of Magdeburg, and with the recently established group of Rodrigo Quian Quiroga at the IMIM (https://www.imim.cat) in Barcelona. The position is initially offered for 3 years, with the possibility of further extensions according to performance. Salary will be competitive, based on DFG (German Research Council guidelines for Postdocs), depending on experience. Informal enquiries are welcome and should be made to Prof. Catherine Sweeney-Reed: catherine.sweeney-reed(a)med.ovgu.de. To apply, please send a curriculum vitae and a brief description of scientific interests to Mrs. Birgit Boehme at birgit.boehme(a)med.ovgu.de. The closing date for the applications is 24th February 2023. Start date will be in April 2023 or shortly thereafter. Rodrigo Quian Quiroga Centre for Systems Neuroscience University of Leicester http://le.ac.uk/csn

Feb. 3, 2023

Cognitive Neuroscience Research Assistant position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for a cognitive neuroscience research assistant. This is an exciting opportunity to work on brain imaging studies of cognitive function and dysfunction, cognitive development and learning disabilities. The successful candidate will participate in all aspects of research in the lab, including: acquisition and analysis of functional and structural brain imaging data, assembling, administering, and scoring neuropsychological assessments, screening and recruiting participants, obtaining informed consent, scheduling participants for testing, tracking progress of the study and behavioral data, verifying data and entering pertinent information into database for statistical analysis, conducting statistical analyses, and assisting with manuscript preparation. Please note many sessions with research participants will take place on the weekends, and occasionally in the evenings. A minimum commitment of two years is required. Qualifications Requires a BS/BA degree in psychology, human biology, neuroscience, biomedical engineering or related fields as well as one to two years of research experience. A strong academic record is essential. Past research experience in cognitive neuroscience is highly desirable. Experience with any of the following would be an added advantage: brain imaging data acquisition, MRI data analysis, neuropsychological assessments, computer programming, MATLAB, signal processing, and statistical analysis. The candidate must have strong organizational and interpersonal skills; the ability to work well with children; a willingness to tackle complex tasks in an independent manner; and a strong work ethic. Please email a CV, a statement of research interests and career goals, and contact information for three references to: scsnl.stanford+researchassistant(a)gmail.com.  Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:d4d98577-fb92-454f-96db-98c0a2ea4e85]

Feb. 2, 2023

Neuroimaging Data Analyst position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (https://scsnl.stanford.edu<http://scsnl.stanford.edu/>) in the Department of Psychiatry and Behavioral Sciences has an opening for a talented individual with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging and behavioral data analysis, data organization, and management. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. Please include a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:43e26113-4dc3-4232-919e-9f79d26eca51]

Feb. 2, 2023

Research Fellow/Scientist position at Stanford Cognitive & Systems Neuroscience Lab

by Mai-Phuong K Bo

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu<https://med.stanford.edu/scsnl.html>) invites applications for post-doctoral positions with expertise in cognitive, systems and computational neuroscience. Candidates must have a PhD and research experience in cognitive neuroscience, psychology, cognitive science, computer science, electrical/biomedical engineering, or related fields. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies of human brain function and psychopathology. The candidate will have access to multiple large datasets and state-of-the-art computational resources, including HPCs and GPUs.  We are especially interested in talented and highly motivated individuals with expertise in at least one of these areas: cognitive neuroscience; computational psychiatry; cognitive   modeling of behavioral dynamics; computational and statistical analysis of brain imaging and electrophysiological data, including dynamic brain circuit analysis, statistical  modeling and Bayesian inference, machine learning, and deep neural networks.  Please email your CV and a statement of research interests, explaining how your skills and past experience will advance human neuroscience research, to Prof. Menon at scsnl.stanford+postdoc(a)gmail.com. Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:195fcfbe-653c-4b49-b99a-58a6df27ba2a]

Feb. 2, 2023

Call for tutorials and workshops at CNS*2023 Leipzig

by Rubchinsky, Leonid L

Dear Colleague, We are requesting proposals for workshops and tutorials at CNS*2023 from the international community of computational neuroscientists. The 32nd Annual Computational Neuroscience Meeting, CNS*2023, will be held in Leipzig, Germany, 15-19 July 2023. Proposals from all levels of faculty as well as advanced postdoctoral fellows are welcome. Tutorials are to be held on the first day and workshops on the last two days of the CNS*2023 Meeting. This is an excellent opportunity to reach international audience of computational neuroscience researchers participating in this meeting. Please see the links below for detailed information. Questions regarding workshops and tutorials should be addressed to workshops(a)cnsorg.org or tutorials(a)cnsorg.org as appropriate. We are looking forward to your submissions. CALL FOR WORKSHOPS: https://www.cnsorg.org/cns-2023-call-for-workshops Priority Deadline for proposals: April 15 Srikanth Ramaswamy, Workshops Chair for CNS*2023 CALL FOR TUTORIALS: https://www.cnsorg.org/cns-2023-call-for-tutorials Deadline for proposals: April 22 Maurizio De Pitta, Tutorials Chair for CNS*2023 With kind regards, Leonid Rubchinsky OCNS Vice President, on behalf of the OCNS Board of Directors *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

Feb. 1, 2023