- Comp-neuro - lists.cnsorg.org

Software Engineer position for International Brain Laboratory

by Hannah M Bayer

The International Brain Laboratory SOFTWARE ENGINEER <https://academic.careers.columbia.edu/#/85586> will work closely with our scientists to develop and deploy software and electronic hardware for experiment control, collection, storage, and data analysis. The experiments make use of complex control systems including video, audio, and fluidics, the data are processed by sophisticated algorithms including GPU-based deep networks, and then transferred automatically to a central database. The successful candidate will interface with scientists in our member laboratories (located in London, Lisbon, Geneva, Paris, New York City, Long Island, Princeton, San Francisco, and Ashburn VA) and with the core software development team based in Lisbon, to support experiments and ensure data is of high quality. The ideal candidate would have extensive experience with Linux, Python, Arduino systems, electronics, team programming, quality assurance, web design, and system administration. A flexible attitude, the ability to quickly adapt to new situations and learn new systems, and to work independently as part of a geographically distributed team, are essential. Experience with scientific research, networking, parallel computing, or relational databases would also be desirable. As this is a distributed collaboration, the candidate should be prepared to travel to all partner sites, with a home base in Lisbon, London or New York. RESPONSIBILITIES: - To develop and support software and hardware to collect and analyse neurophysiology recordings at worldwide partner sites - To help apply these algorithms to petabyte-scale data, to draw scientific conclusions about brain function. - To support the use of the resulting algorithms and software by laboratory members and by the worldwide scientific community. - To write online documentation and help author scientific publications describing the algorithms and discoveries made with them. Any questions prior to applying, please contact info(a)internationalbrainlab.org To apply: https://academic.careers.columbia.edu/#/85586 -- Hannah M. Bayer, PhD Executive Director International Brain Laboratory

Nov. 29, 2021

SCGB Virtual Postdoc/Student Meeting: Wednesday, December 1 by Olivia Gozel

by Laura Long

The Simons Collaboration on the Global Brain (SCGB) hosts postdoc/student meetings to bring together trainees interested in neural coding and dynamics to discuss ideas and data. In addition to regional meetings in New York, Boston, and the Bay Area, SCGB holds a virtual series to connect systems and computational neuroscientists independent of geography. We would love to see you at our next meeting! Please see event details and the Zoom link below. SCGB Virtual Postdoc/Student Meeting: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Wednesday, December 1st, 12pm Eastern Time https://simonsfoundation.zoom.us/j/94767192583?pwd=TXBKNXJQYzdGTmRUZTFlUUYz… Passcode: 429535 *Olivia Gozel* Postdoctoral Researcher, Doiron Laboratory The University of Chicago *Between-area communication through the lens of within-area neuronal dynamics* Neuronal dynamics range from asynchronous spiking to richly patterned spatio-temporal activity and are modulated by external and internal sources. Numerous experimental datasets show that the shared variability can be well described by a small number of latent variables, indicating coordinated trial-to-trial fluctuations within the population. Besides, cortical areas are connected through long-range excitatory projections, and it has been shown that there exists a communication subspace between connected but distinct brain areas that predicts spiking activity in a downstream area using upstream activity. However, little is known about the effect of neuronal dynamics on interactions between brain areas. Using a layered spiking network with within- and between-layer spatially structured connectivity, we show that pattern formation decreases within-area dimensionality similarly when spatio-temporal patterns emerge within a population or when they are inherited from a connected population. Yet, the fidelity of communication from an upstream to a downstream area, as estimated by a linear reduced-rank regression measure, is affected by the origin of pattern formation. Specifically, downstream activity is poorly predicted by upstream activity when spatio-temporal patterns emerge downstream, while it is particularly well predicted when shared fluctuations are mostly inherited from the upstream area. Interestingly, examination of spiking activity reveals that, even in the scenario with apparent disrupted communication, the downstream area is effectively driven by upstream activity, as expected from the strong feedforward connection strengths between layers. A mismatch in within-area dimensionality between upstream and downstream areas appears to underlie the seemingly weak communication. These results expose the limitations of linear measures when analyzing the flow of information in brain circuits with diverse neuronal dynamics. *Please note that this meeting is open to all neuroscience postdocs and PhD students, regardless of location or SCGB affiliation (sorry, no PIs). *After Q&A with the speaker, we will open breakout rooms for anyone interested in staying to chat, network, or further discuss the talk. In addition to these breakouts, SCGB Scientific Staff will be available for "office hours" to chat and answer questions about SCGB programs and support. Registration on EventBrite is encouraged but not required: https://www.eventbrite.com/e/scgb-global-postdocstudent-meeting-tickets-209… Please contact Laura Long at llong(a)simonsfoundation.org with any questions.

Nov. 29, 2021

Post-doctoral position advertisement

by Zaghloul, Kareem (NIH/NINDS) [E]

Hi, I would like to post the following ad to the comp-neuro listserv. Would this be possible? I've attached a copy of the ad below. Thank you, Kareem Kareem A. Zaghloul, MD, PhD Surgical Neurology Branch National Institute of Neurological Disorders and Stroke, NIH Bldg 10, Rm. 3D20 10 Center Drive Bethesda, MD 20892-1414 O: 301-594-8114 F: 301-402-0380 Position Type Postdoctoral Position at the NIH Position Title Human memory and sequences of single unit spiking activity Position Description The National Institute of Neurological Disorders and Stroke is seeking a full-time post-doctoral position focused on understanding the neural correlates of human memory. This position involves studies focused on analyzing recordings of population spiking activity captured from the human cortex in awake participants with drug resistant epilepsy who are receiving intracranial EEG (iEEG) electrodes to monitor seizure activity. Single unit spiking activity from populations of neurons are captured through implanted microelectrode arrays. Post-doctoral fellows will join a laboratory aimed at understanding the neural mechanisms that underlie human episodic memory formation and decision making. We are specifically seeking a candidate who has a strong interest in understanding neural coding as represented by sequences of single unit spiking activity in the human cortex. We are seeking candidates that are highly creative, motivated, and independent with a Ph.D. in neuroscience, biomedical engineering, or a related field. Candidates must have a strong research background, with a record of relevant publications. Candidates will be encouraged and expected to participate in independent laboratory research, and will be expected to write scholarly manuscripts. Candidates must be able to lead and work well in a team. Candidates should have strong computational, quantitative, and/or engineering skills, with proficiency in developing custom code (Matlab, Python, etc.) for data analysis preferred. Past medical research is not required, but candidates must be willing to perform experiments in a clinical setting. Candidates will interact with clinical staff, graduate students, research fellows, and must have excellent spoken and written English skills. Applicants should submit a brief statement of research activities and interests, a current CV, and names and contact information of at least three references. Salary will be commensurate with experience and accomplishments. To arrange a meeting with the PI and to send materials required for consideration for this appointment please contact Dr. Zaghloul at: zaghloulka(a)mail.nih.gov<mailto:zaghloulka@mail.nih.gov>. Employer Name Kareem A. Zaghloul, National Institute of Neurological Disorders and Stroke Position Location Bethesda, MD Disclaimer NIH, an agency of DHHS, is an equal opportunity employer. All employees are subject to background investigation. The NIH is dedicated to building a diverse community in its training and employment programs.

Nov. 29, 2021

Postdoctoral Researcher position at University of Göttingen, CIDBN, SPP 2205

by von Behren, Christina

Dear list, We would like to draw your attention to a postdoc opportunity at the Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN), University of Göttingen: The Department of Data-driven Analysis of Biological Networks at the Georg-August-Universität Göttingen invites applications for a position as Postdoctoral Researcher (f/m/d) This position is available starting from January 1st, 2022. It is a fulltime position and is fixed until 31.03.2024. Salary and working hours will be according to the German grade 13 TV-L (100%, currently 39.48 hours per week). The position will be associated with the group of Prof. Dr. Michael Wibral. We are recruiting a Postdoc for the interdisciplinary research project "Evolutionary Convergence of Hierarchical Information Processing" funded by the German Research Foundation (DFG) within the research initiative SPP 2205 "Evolutionary optimization of neuronal processing"<https://www.uni-goettingen.de/de/618311.html>. The project aims to establish the common information theoretic principles of computation in hierarchical neural systems that are conserved across species from drosophila, via rodents to primates and humans. We are looking for candidates with an excellent PhD/Master's Degree in neuroscience, cognitive science, physics, computer science or a related field who are committed to pursuing a career in research. The successful applicant will develop and apply novel information theoretic measures to electrophysiological neural recordings and calcium imaging signals to investigate signatures of predictive hierarchical information processing. The ideal candidate should have excellent skills in scientific writing, experience with the application of information theory to biological data, and should have demonstrated her/his ability to work independently. Prior experience with predictive coding theory and experiments are plus. Proven coding skills in a language relevant to data analysis (e.g. Python, Julia, R, Scala, Java), prior experience with research-data management systems (RDMS) are also considered as an advantage. We offer the opportunity to become a member of a vibrant community dedicated to innovative research and teaching at the frontier of the exact and biological sciences, and to connect to the latest developments in information theory, including partial information decompositions. The Göttingen Campus is a leading center of biophysics and neuroscience in Europe hosting numerous internationally renowned research institutions, including the University and its Medical Center, the three life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply in fields in which they are underrepresented. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please submit your application in digital form only and send all relevant documents in one single PDF-document, including a letter of interest, your curriculum vitae with a list of publications, copies of your certificates and contact information of at least two references to Wibral_lab(a)uni-goettingen.de by December 13, 2021. If you have any questions, please contact Prof. Dr. Michael Wibral via e-mail: michael.wibral(a)uni-goettingen.de. [cid:image003.png@01D7E52F.C6D6F9C0] Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo Best Regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Centre for Computational Neuroscience Goettingen Heinrich-Düker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

Nov. 29, 2021

Postdoc vacancy in A-eye (AI, eye, MRI) at CHUV - Lausanne, Switzerland

by Benedetta Franceschiello

Dear Colleagues, Dr. Meritxell Bach Cuadra and I are looking for a postdoctoral researcher interested in the field of large-scale analysis of eye MRI (MReye) data with AI. Please find here attached the call and the link for postulating: https://recrutement.chuv.ch/vacancy/post-doctoral-position-on-deep-learning… Informal inquiries are welcome. Thank you very much, Kind regards, -- Benedetta Franceschiello, Ph.D. Research Scientist CIBM Center for Biomedical Imaging, EEG CHUV-UNIL Section LINE, Laboratory for Investigative Neurophysiology <https://www.unil.ch/line/en/home.html> Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne Tel: +41 787409774 Rue Centrale 7, CH-1003, Lausanne, Switzerland https://sites.google.com/view/benedettafranceschiello-phd/ I work flexibly - so whilst it suits me to email now, I do not expect a response or action outside of your own working hours.

Nov. 29, 2021

Positions in modeling at the Allen Institute

by Anton Arkhipov

Dear colleagues, We are hiring for multiple positions in bio-realistic modeling at the Allen Institute. Please apply soon! For example, see this Scientist position: https://alleninstitute.hrmdirect.com/employment/job-opening.php?req=1770679<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Falleninst…> If you don’t have a PhD (perhaps just finishing a BS or MS degree?), we would love to hear from you too. Please contact me at antona(a)alleninstitute.org<mailto:antona@alleninstitute.org>. We are developing biologically realistic models of cortical circuits in the mouse brain at the level of a cortical area and the whole cortex. In collaboration with the group of Dr. Li-Huei Tsai at MIT, we investigate the cell type and circuit mechanisms of neuronal entrainment to periodic sensory stimulation at different frequencies. The project leverages the Allen Institute’s unique multi-modal data: https://portal.brain-map.org. Additional relevant resources and publications: * https://portal.brain-map.org/explore/models/mv1-all-layers<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * https://portal.brain-map.org/explore/connectivity<https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fportal.br…> * Iaccarino et al., Nature (2016); Adaikkan et al., Neuron (2019); Martorell et al., Cell (2019) The Allen Institute believes that team science significantly benefits from the participation of diverse voices, experiences and backgrounds. High-quality science can only be produced when it includes different perspectives. We are committed to increasing diversity across every team and encourage people from all backgrounds to apply for these roles. Best wishes, Anton. Anton Arkhipov Associate Investigator T: 206.548.8414 E: antona(a)alleninstitute.org<mailto:antona@alleninstitute.org> alleninstitute.org<https://alleninstitute.org> brain-map.org

Nov. 29, 2021

Post-doc: biologically accurate computational models of thalamocortical circuitry

by Sean Hill

Are you Interested in thalamocortical circuitry and its functions? We are seeking an outstanding candidate for a fully-funded post-doctoral position at Blue Brain, EPFL - in Geneva, Switzerland - to develop biologically-accurate computational models of thalamocortical circuitry. Please follow the link for more details and to apply: https://recruiting.epfl.ch/Vacancies/1755/Description/2 CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

Nov. 25, 2021

Computational neuroscience graduate/postdoc positions at UMD

by Daniel A. Butts

The NeuroTheory Lab at University of Maryland (College Park) is recruiting graduate students and postdocs to work at the interface of systems-level neurophysiology and machine learning. The goal of our research is to understand how sensory neurons contribute to perception and behavior. Our premise is that such understanding necessarily involves interpreting large-scale recordings in sufficiently complex (“natural”) experimental contexts. We specialize in statistical modeling, which can directly test hypotheses about neural computations and their mechanistic underpinnings using large-scale neurophysiological recordings, in close collaboration with experimental labs. Information about current projects, as well as our recent work, can be found at: neurotheoryumd.github.io <http://neurotheoryumd.github.io/> We are interested in exceptional and highly motivated individuals with a quantitative background in physics, mathematics, engineering, or computer science. Applicants must also have working knowledge of systems/computational neuroscience, and be interested in pursuing this field. We encourage applications from members of under-represented groups. Our lab is set in the Biology Department in the spacious College Park campus in suburban Washington DC (accessible by metro), and also nearby to several collaborators at NIH. There are several graduate programs that we are affiliated with (primarily nacs.umd.edu <http://nacs.umd.edu/>) that have an application deadline of December 1. Please contact me if you are interested in applying to the lab as a graduate student or postdoc, with a CV and brief description of your interests and how they align. Dan Butts Associate Professor Department of Biology University of Maryland, College Park

Nov. 25, 2021

Doctoral position on causal inference and explainable AI at the University of Vienna

by Moritz Grosse-Wentrup

We have an opening for a doctoral position in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop causal inference methods that generate human-interpretable concepts for explainable AI. These methods will be applied in close collaboration with other group members to study the link between neuronal activity and cognition in artificial and biological intelligent systems. We are looking for an intrinsically motivated student with a Master (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia! To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

Nov. 25, 2021

Doctoral position on AI / ML algorithms for invasive brain-computer interfacing at the University of Vienna

by Moritz Grosse-Wentrup

We have an opening for a doctoral position to develop artificial intelligence / machine learning algorithms for invasive brain-computer interfacing (BCI) in the Neuroinformatics Group at the University of Vienna (https://ni.cs.univie.ac.at/) The project's goal is to develop a language BCI based on invasive, single-cell recordings in a human subject. The project will be carried out in close collaboration with Simon Jacob at the Technical University Munich (http://simonjacob.de/) We are looking for an intrinsically motivated student with a Master's (or equivalent) degree in Computer Science, Neural Engineering, Electrical Engineering, Mathematics, Physics, or a related field. We expect strong competencies in machine learning and programming, as well as a passion for interdisciplinary research in general and learning about the brain in particular. The ability to speak German would be beneficial but is not required. Employment is according to the collective bargaining agreement §48 VwGr. B1 Grundstufe (praedoc, 75%), see http://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sche… The duration of employment is three years and can be extended to a maximum of four years. The initial contract will be limited to 1.5 years and automatically renewed for another 1.5 years at the end of the 12-month probation period. Job duties involve research as well as teaching (in English or German). The Neuroinformatics Group is part of the Faculty of Computer Science at the University of Vienna, the oldest and largest public research university in the German-speaking world (https://en.wikipedia.org/wiki/University_of_Vienna) Research in our group focuses on two topics: Causal inference for bridging the gap between neuronal activity and cognition and AI/ML algorithms for brain-computer interfacing. Our offices are located in downtown Vienna, a city that has been repeatedly ranked as having the world's highest quality of living. We strive to be a diverse research group and particularly welcome (and, given equal qualifications, give preference to) applications from groups currently underrepresented in academia. To apply, please set up an account (https://zid.univie.ac.at/en/setting-up-a-uaccount/) and submit the following documents via https://servicedesk.univie.ac.at/plugins/servlet/desk/portal/89/create/1277: * Letter of motivation (~one page) * CV * Abstract of Master thesis * Degree certificates * Contact information of two referees * List of publications and evidence of teaching experience (if any) The application deadline is the 13th of December, 2021. Please choose reference number "#06 PC2: Neuroinformatics, Prof. Grosse-Wentrup" when submitting your application. Because there are two separate projects linked to this call, please indicate in your motivation letter whether you are applying to the BCI or the causal inference project. If you have any questions prior to applying, please feel free to contact me via moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

Nov. 25, 2021