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Postdoc in computational neuroscience in New York - Coen-Cagli Laboratory
by Ruben Coen-Cagli July 14, 2021

July 14, 2021

The Laboratory for Computational Neuroscience<https://sites.google.com/site/rubencoencagli> (Coen-Cagli lab) invites applications for a postdoctoral position in the Department of Systems and Computational Biology and Department of Neuroscience at Albert Einstein College of Medicine (Einstein) in the Bronx, New York City. Our lab studies how biological sensory systems interpret the surrounding environment. We study how populations of visual-cortical neurons represent and transmit visual information, and how those processes control perception. We combine theories of probabilistic neural coding, machine learning and natural image statistics, psychophysics, and neurophysiology through collaborations. The candidate is expected to perform research related to these topics, and will have the opportunity to interact closely with experimental collaborators and access to datasets including electrophysiology, imaging, and perturbations of large neural populations. Most recent publications: (2021) D. Festa et al. Nature Communications 12:3635<https://rdcu.be/cmy7M> (preprint bioRxiv<https://doi.org/10.1101/2020.06.17.142182>) (2021) D. Herrera et al. Journal of Vision 21(1):1<https://jov.arvojournals.org/article.aspx?articleid=2772139> (2021) G. Dehaene et al. PLoS Computational Biology 17(1):e1008138<https://doi.org/10.1371/journal.pcbi.1008138>. (2021) D. Herrera et al. Vision Research 187:55-65<https://doi.org/10.1016/j.visres.2021.06.007> (preprint bioRxiv<https://www.biorxiv.org/content/10.1101/2021.04.26.441524v1>) (2020) J. Vacher et al. NeurIPS 2020<https://papers.nips.cc/paper/2020/hash/fba9d88164f3e2d9109ee770223212a0-Abs…> spotlight. (2019) R. Coen-Cagli, S. S. Solomon. Journal of Neuroscience 39(37):7344<https://www.jneurosci.org/content/39/37/7344> (preprint biorxiv<https://www.biorxiv.org/content/early/2018/12/31/508838>). Applicants must have a Ph.D. in a relevant discipline, with an academic record of scientific excellence and independent research, and a keen interest in interdisciplinary approaches to biological and neural systems. Prior experience should include areas such as computational neuroscience, machine learning, statistics, or computer vision. We are particularly interested in applicants with a genuine interest in linking theoretical and computational work to quantitative analysis of neurophysiology data. Einstein offers a vibrant interdisciplinary environment, with a strong systems and computational contingent. It is located in a quiet neighborhood of the Bronx, New York. The Bronx is one of the most diverse counties in the United States, the birthplace of hip-hop, and home to a rich cultural and sports scene. Einstein is also a short subway ride from Manhattan. Information about working at the Einstein, including benefits and housing for postdocs, can be found at: https://einsteinmed.org/research/belfer-institute/ The position is available immediately, and is funded for several years, with an initial one-year appointment and expectation of extension given satisfactory performance. Salary is competitive and will be commensurate with experience. Candidates should send a single pdf file, consisting of a 1-page motivation letter, CV, and publication list to ruben.coencagli(a)gmail.com. Furthermore, candidates should organize two letters of reference, to be sent to the same e-mail address. The position is open until filled. Albert Einstein College of Medicine is an equal opportunity employer committed to hiring minorities, women, individuals with disabilities and protected veterans. The lab strives to be an open, inclusive, harassment-free environment. Ruben is an ally of Black In AI and a member of Einstein's Senate Diversity, Equity and Inclusion committee. Ruben Coen Cagli, PhD Department of Systems and Computational Biology, and Dominick Purpura Department of Neuroscience Albert Einstein College of Medicine 1300 Morris Park Ave. Price 353B Bronx, 10461. NY office: +1.718.678.1150 web: https://sites.google.com/site/rubencoencagli/<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsites.goo…>

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Young post-doc neuromorphic position at Sevilla Microelectronics Institute, Spain.
by bernabe July 13, 2021

July 13, 2021

*Young post-doc neuromorphic position at IMSE* The "Instituto de Microelectrónica de Sevilla" (IMSE) has an opening for a 3-year young post-doc position to join the Neuromorphic Group at IMSE (www.imse-cnm.csic.es/neuromorphs) financed by the Andalusian Regional Government. Gross annual salary is 30k€, which allows for a wealthy life in Sevilla, Spain. Requirements: - Official PhD graduation date must be after June 2016, although earlier dates are possible in case of leaves due to pregnancies, child birth, adoption, major accident or disease. - Deadline for candidacy submission is end of July. Prospective candidates please contact us at bernabe(a)imse-cnm.csic . - More details here: <link> <http://www2.imse-cnm.csic.es/neuromorphs/data/_uploaded/image/Post-doctoral…> The IMSE Neuromorphic Group develops research in Silicon chips and FPGAs for neuromorphic hardware with stronger focus on vision applications. We have developed several DVS (Dynamic Vision Sensor) cameras as well as cortical processing systems and spiking based learning techniques. In the last years we have strongly engaged into exploiting memristors for neuromorphic hardware and have designed full monolithic CMOS-memristive neuromorphic systems. We welcome both, candidates with more hardware profile (either analog or digital) as well as with more computing profile. The successful candidate can participate in any of the active research projects in the group (see www.imse-cnm.csic.es/neuromorphs) can also develop alternative research lines within the neuromorphic field, participate in grant proposals, and advice PhD and MSc students. Please do redistribute. Deadline is very short. Thanks. -- Prof. Bernabe Linares-Barranco, Director, Instituto de Microelectronica de Sevilla (IMSE-CNM), Sevilla, Spain www.imse-cnm.csic.es/~bernabe

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Call for Chapter for Springer Book by M. Murugappan and R. Yuvaraj (Editors)
by Yuvaraj Rajamanickam July 13, 2021

July 13, 2021

Dear Researchers, Good day to you. Currently, we are accepting the high-quality book chapters for our upcoming edited book in *Springer,* titled, *Biomedical signal-based computer-aided diagnosis for neurological disorders*. Please see below for more information. We invite you and your network connections to consider submitting a high-quality paper related to the aim and scope of this book for possible publication. If possible, you could share this CFP in your network for their possible contribution. Please feel free to contact us, if you have any questions. Submission link: https://easychair.org/conferences/?conf=bscadnd2021 Any queries, please feel free to write to us at bookchapter.bscad(a)gmail.com and CC to m.murugappan(a)kcst.edu.kw ; yuvaraj.rajamanickam(a)nie.edu.sg. Major topics to be included in the book are: •Introduction to neurological disorders (ND) and biomedical signal processing. •Basic principles of CAD in ND diagnosis. •Characterization of biomedical signals in ND. •Feature engineering and optimization. •Machine learning techniques in CAD for ND •Deep learning algorithms in CAD for ND •Neural network applications in CAD for ND •Fuzzy logic and optimization techniques •Supervised and unsupervised learning •Case studies related to ND diagnosis. •Challenges in the CAD for ND •Advances and trends in CAD for ND diagnosis. •Open Challenges in CAD in ND diagnosis Important dates •Abstract Submission (max 250 words): 30th July 2021 •Acceptance of abstract: 5th August 2021 •Full chapter submission:15th September 2021 •Authors notification: 15th October 2021 •Camera ready submission: 10th November 2021 •Permission and copyright:20th November 2021 •Publication date: 1st quarter of 2022 Submission guidelines •MS Word, single column, Times New Roman, 11 font size, 1.15 spacing. •References must follow springer style. •Length of the chapter: 20-25 pages (11550 words (approx.)) including references, tables, figures. •Similarity index should be less than 10 % (without reference). •All figures must be supplied as final artwork (e.g., JPEG, PNG, TIFF, etc.) at high-resolution. NO PUBLICATION/ ARTICLE PROCESSING FEE. •All manuscripts are accepted based on a double-blind peer review editorial process. Indexed by Web of Science (WoS), SCOPUS, Google Scholar, SCImago Regards YUVARAJ

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Change of date! Announcing free online spiking neural network workshop Nov 2-3, reg & submissions open
by Goodman, Daniel F M July 12, 2021

July 12, 2021

Apologies for emailing again with this announcement. We originally announced the workshop (included below) for Nov 8-9 but found out that it clashed with SFN online meeting. We have changed the dates to 2-3 November 2021. Please update your diaries accordingly. Many thanks, Dan We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 2-3. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 2-3 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

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Two Postdoctoral Scholar Positions at Washington University in St. Louis
by Shuo Wang July 11, 2021

July 11, 2021

We are looking for two highly motivated postdoctoral scholars to work on NSF and DoD funded projects. One postdoctoral scholar will use human single-neuron recordings to study the neural circuits underlying social attention, and the other postdoctoral scholar will use multimodal neuroimaging techniques to study social behavior and brain networks in people with autism. The research will be conducted in a highly collaborative environment using state-of-the-art equipment, facilities, and analytical methods. The postdoctoral scholars will collaborate with an established team of investigators within and outside WashU and have ample opportunity to learn new techniques and methods. Applicants must hold a Ph.D. in systems, cognitive, or computational neuroscience, or in physics, electrical engineering, or computer science, with relevant research expertise in neuroscience. Applicants must also have strong programming (Matlab or similar) skills. Individuals with previous human intracranial EEG expertise and/or macaque single-neuron recordings that wish to expand into human single-unit recordings are encouraged to apply. Our lab combines multimodal and advanced measurement techniques with sophisticated computational approaches to understand the neural mechanisms and neural computations underlying social attention, face processing, emotion, memory, and decision making. Overarching questions involve how the brain figures out what is important in the environment, how socially relevant stimuli pop out and attract attention, how faces are processed and represented in general, and how memory is modulated by attention. We are particularly interested in the neural computations underlying these cognitive processes: multimodal approaches allow us to investigate these questions from the microscopic single-neuron and neural circuit level using our state-of-the-art human single-neuron recordings as well as macroscopic level using fMRI, EEG, and intracranial EEG (sEEG and ECoG). These multimodal experimental approaches are powered by sophisticated computational approaches that can deal with complex and large datasets. The Wang Neuroscience Lab is housed in the Mallinckrodt Institute of Radiology (MIR) at the Washington University School of Medicine (WUSM) in St Louis. WUSM is a world class research intensive academic health center that is consistently ranked among the nation’s research-oriented medical schools. Additionally, it is nationally known for its attractive campus, which borders residential neighborhoods and one of the nation’s largest urban parks. St. Louis is consistently rated a Forbes most affordable city with vibrant music, food and park scene, and has one of the fastest growing start-up communities with impressive accelerator and incubator services available through the Biogenerator, Cambridge Innovation Center, and Cortex Innovation District. Shuo Wang, Ph.D. Assistant Professor Washington University in St. Louis https://sites.wustl.edu/wanglab/

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Deadline extension: CFP Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ ICDL2021
by Stefan Heinrich July 11, 2021

July 11, 2021

Call For Contributions - Workshop on Spatio-temporal Aspects of Embodied Predictive Processing - STEPP @ IEEE ICDL2021 Deadline extended! Aims and Scope: Understanding human intelligence and building strong AI systems is a key challenge for our generation. A particularly puzzling aspect is that the human brain seems to cope very well with the highly variable and uncertain nature of perception and action, regarding both their signal characteristic and how they extend over time. Furthermore, it seems apparent that the information processing in the brain always involves previous bodily experiences and all our senses, thus is embodied and crossmodal. For explaining these characteristics, there are strong accounts that the brain is constantly predicting sensory input and feedback while minimising free energy in the prediction and is hierarchically abstracting the perception as well as hierarchically composing action. Furthermore, it is also hypothesised that mechanistic priors in the brain’s information processing induce a failure of hierarchical inference in the brain, accounting for atypical perception and action of psychiatric disorders. For example, some brains might have developed to focus too strongly on current sensory input while others might focus too strongly on memorised previous experience. A typically developed brain, in contrast, would show a fine balance compared to these two extreme priors. The big open mystery is: how is the brain developing this on a mechanistic level and thus how can this get learned within an AI system? Thus, to lift this mystery, we further need to bring together research from computational neuroscience, cognitive psychology, and artificial intelligence. With this workshop, we particularly want to wrap up different recent hypotheses, models, and experiments and discuss in-depth how to shape future imaging, behavioural, and developmental robotics studies as a complement to computational modelling and bio-inspired artificial intelligent algorithms. As a guiding theme, we aim to approach the following central questions: - How does the brain learn spatio-temporal stochasticity in perception and action? - What is the role of priors in learning spatio-temporal adaptive prediction? - How can developmental robotics help us to study spatio-temporal stochasticity as an analogy to infant learning? We examine these questions with the insight from invited key speakers from complementary fields as well as original contributions in breakout sessions in order to conclude the next steps within in a panel discussion. All information online: https://sites.google.com/view/stepp21/home Keynotes/Panellists: - Jun Tani, Cognitive Neurorobotics, Okinawa Institute of Science and Technology (OIST) - Marcel van Gerven, Artificial Cognitive Systems, Donders Institute, Radboud University - Takuya Isomura, Brain Intelligence Theory, RIKEN Center for Brain Science - Takamitsu Watanabe, Brain Network Dynamics, International Research Center for Neurointelligence (IRCN), The University of Tokyo Contributions: We invite submissions of extended abstracts on ongoing research that focuses on one or several of our guiding questions as contributions. In addition to the live presentation and discussion during the workshop, the contributions will be made public in workshop proceedings. - Extended abstract submission deadline: 25.07.2021 (extended) - Decision & Notification: 01.08.2021 (latest) - Camera-ready version due: 08.08.2021 - Workshop online: 22.08.2021 Submission website: https://sites.google.com/view/stepp21/ => Contribute Organisers: Stefan Heinrich, IRCN, The University of Tokyo, Japan Shingo Murata, Dept. Electronics and Electrical Engineering, Keio University, Japan Yukie Nagai, IRCN & Institute for AI and Beyond, The University of Tokyo, Japan Yuichi Yamashita, National Center of Neurology and Psychiatry, Japan -- ************************************************************* Dr. Stefan Heinrich Postdoctoral Project Researcher Cognitive Developmental Robotics Lab The University of Tokyo, Institutes for Advanced Studies, International Research Center for Neurointelligence Email: heinrich.stefan(a)ircn.jp https://developmental-robotics.jp/en/members/stefan_heinrich/ https://ircn.jp/en/ https://stefanheinrich.net/ *************************************************************

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Brain Connectivity, Dynamics, and Complexity--please submit abtracts--deadline extended
by Stephen José Hanson July 9, 2021

July 9, 2021

We are still looking for a few more submissions especially related to Resting state and fMRI..theoretical papers as well. The deadline is extended for submission till Aug 1. https://www.frontiersin.org/research-topics/20807/brain-connectivity-dynami… send queries through the website. thanks. Steve Hanson -- Stephen José Hanson Professor Director RUBIC (University- Wide) Department of Psychology (NK) Cognitive Science Center (NB)

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Postdoctoral positions: modeling, imaging, and optogenetics (Boston U School of Medicine)
by Christina M. Weaver July 8, 2021

July 8, 2021

Postdoctoral positions in modeling, imaging, and optogenetics (Boston University School of Medicine) The Luebke & Medalla labs (Dept. of Anatomy & Neurobiology, Boston University School of Medicine) use state-of-the-art approaches in imaging, immunohistochemistry, electrophysiology, and computational modeling to explore neural mechanisms underlying executive function in the mammalian prefrontal cortex. We seek highly motivated, detail-oriented postdoctoral research fellows to join our interdisciplinary team related to several exciting, federally funded projects. Read more about our research here <https://www.bumc.bu.edu/anatneuro/research/cellular-neurobiology/>. Modeling: This project, led jointly by Dr. Jennifer Luebke, Dr. Christina Weaver (Dept of Mathematics, Franklin & Marshall College, Lancaster, PA), and Dr. Patrick Hof (Dept of Neuroscience, Icahn School of Medicine at Mount Sinai, New York NY), aims to characterize changes in the prefrontal cortex and visual cortex during normal aging in the rhesus monkeys. We seek candidates with experience building differential equations-based mathematical models using MATLAB, Python, and/or NEURON compartmental modeling software. Experience with conductance-based modeling of single neurons or excitatory-inhibitory networks preferred. The successful candidate will build computational models to explore mechanisms of network dysfunction, constrained by our data from aging studies in rhesus monkeys, including new multiplexing data in collaboration with GE Healthcare. Imaging: This project, led by Dr. Luebke and Dr Klaus Wimmer (Centre de Recerca Matemàtica, Barcelona, Spain) and funded by the Collaborative Research in Computational Neuroscience (CRCNS) program, focuses on the computational and neural mechanisms underlying working memory and age-related changes to working memory and other executive function in the rhesus monkey. We seek candidates with an excellent track record using magnetic resonance imaging and image processing techniques to explore scientific questions with high health relevance. The successful candidate will lead analyses of structural MRI (T1 TFE scans), resting state fMRI, and diffusion spectrum imaging (DSI) brain scans to assess brain morphometry and connectivity. Data generated from brain scans will be correlated with behavioral, physiological and other anatomical data collected across the adult life span to inform sophisticated computational models. The project includes unique cross-national training opportunities for researchers in Boston and Barcelona alike. Optogenetics: One project, newly funded by NIH, uses multi-scale neuroanatomical, in vitro, and in vivo electrophysiological, pharmacologic and optogenetic techniques to study inhibitory circuits in the anterior cingulate cortex and lateral prefrontal cortex (ACC and LPFC) of rhesus monkeys, and how limbic input from the amygdala influences communication within the ACC-LPFC network. We seek candidates with expertise in optogenetics, imaging of voltage-sensitive dyes, patch-clamp recording and multiphoton microscopy. The successful candidate will combine anatomical and viral tracing with in vivo electrophysiological recordings in anesthetized preparations, as well as optogenetic stimulation and whole cell patch-clamp recording in in vitro slices, to investigate the cellular and synaptic properties of prefrontal circuits involved in cognitive and emotional control and integration. Each appointment as a Boston University School of Medicine research fellow will be for at least 1 year with the possibility for extension based on performance. Competitive salary based on experience. Interested applicants should attach the following: - A cover letter, - A current CV, - A brief statement of current and future research interests, - The contact information of three references. Please be aware that references may be contacted anytime after receipt of your application. Contact: Dr. Christina Weaver, christina.weaver(a)fandm.edu or Dr. Jennifer Luebke, jluebke(a)bu.edu Christina M. Weaver, Ph.D. Associate Chair of Mathematics Associate Professor Franklin & Marshall College P.O. Box 3003 Lancaster, PA 17604-3003 Email: christina.weaver(a)fandm.edu

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Announcing free online spiking neural network workshop Nov 8-9, reg & submissions open
by Goodman, Daniel F M July 7, 2021

July 7, 2021

We are delighted to announce the second edition of the "SNUFA" spiking neural network online workshop, taking place this November 8-9. Free registration and abstract submission is now open at http://snufa.net/2021 This online workshop brings together researchers in the field to present their work and discuss ways of translating these findings into a better understanding of neural circuits. Topics include artificial and biologically plausible learning algorithms and the dissection of trained spiking circuits toward understanding neural processing. We have a manageable number of talks with ample time for discussions. This year’s executive committee comprises Chiara Bartolozzi<https://www.iit.it/people/chiara-bartolozzi>, Sander Bohté<https://homepages.cwi.nl/~sbohte/>, Dan Goodman<https://neural-reckoning.org/>, and Friedemann Zenke<https://fzenke.net/>. The workshop will take place 8-9 November, 2021. Abstract submission will close 1 October, 2021. The workshop will feature invited speakers: * Tara Hamilton<https://profiles.uts.edu.au/Tara.Hamilton>, University of Technology Sydney * Dylan Muir<http://dylan-muir.com/>, SynSense<https://www.synsense-neuromorphic.com/> * Katie Schumann<https://www.ornl.gov/staff-profile/catherine-d-schuman>, Oak Ridge National Laboratory * Henning Sprekeler<https://www.sprekelerlab.org/henning/>, TU Berlin The format will be: * Two half days (European afternoon times) * 4 invited talks * 8 contributed talks * Poster session * Panel debate: “What should be the next big breakthrough in spiking neural networks?” (speakers to be decided) You can see last year’s talks on Crowdcast<https://www.crowdcast.io/e/snufa2020> or the talks and one of the recorded discussions on YouTube<https://www.youtube.com/playlist?list=PL09WqqDbQWHFvM9DFYkM_GfnrVnIdLRhy>. This workshop was great fun last year and we had around 700 participants! This year should be even better with your contributed talks and posters. Looking forward to seeing you all there! And please forward this announcement to any colleagues or local distribution lists. Many thanks, Dan, Chiara, Sander and Friedemann

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Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task
by Mingbo Cai July 7, 2021

July 7, 2021

*Postdoctoral Researcher position on fMRI study of spontaneous thoughts and natural task* We seek a talented neuroscientist with extensive experience in the areas of advanced fMRI analysis, (such as encoding or decoding models) and the design of experiments using naturalistic tasks and assessing spontaneous thoughts. A 2.5-year postdoctoral position is available at Dr. Mingbo Cai’s lab <https://cailab-ircn.org/> at the International Research Center for Neurointelligence <https://ircn.jp/en/>, The University of Tokyo. You will work on an exciting international collaboration project directed by both Dr. Cai <https://ircn.jp/en/mission/people/mingbo-cai> and Dr. Nicolas Schuck <https://schucklab.gitlab.io/> at Max Planck Institute for Human Development. You will also have the opportunity to collaborate remotely with Dr. Quentin Huys <https://quentinhuys.com/> at the University College London. The project will focus on understanding the contents and dynamics of spontaneous thoughts using fMRI decoding and natural tasks. In the later stage of the project, we also plan to examine the clinical implication of differences in spontaneous thoughts. Applicants with experience working on populations with mental disorders are also highly encouraged to apply. The working language is English. The working location is at The University of Tokyo, Japan. Contract duration: renewed annually up until Jan 2024 (future renewal depends on performance and budget), with a probation period of 6 months. Starting date: negotiable Requirements (1) Applicants must hold, or be expected to hold by the time of appointment, a PhD, M.D. or equivalent degree in Neuroscience, Psychology, Psychiatry, Machine Learning, Statistics or related fields. (2) Experience in conducting fMRI experiments and data analysis (evidenced by publications, conference presentations or writing samples). (3) Familiar with at least one of the following tools: AFNI, FSL, nilearn, BrainIAK. (4) Good speaking and scientific writing skills in English. (5) Good programming skills. (6) Willing to collaborate and help colleagues. Requirements 2 and 3 may be replaced by two or three of the preferred skills below: Preferred skills: (1) Research experience with fMRI experiments involving natural tasks and multivariate pattern analysis. (2) Experience with experiments investigating spontaneous thoughts. (3) Research experience with investigations of psychiatric disorders. (4) Knowledge of and experience with deep learning. Application procedure: Please send an email with the title “[Postdoc Application] + your name” to mingbo[doc]cai[at]ircn[dot]jp. Please include a cover letter describing your background and research interest, a curriculum vitae, and contact information for 2-3 recommendation letters (ideally you can also request your referees to send their letters directly to the above email address). To increase the chance of being considered, we suggest you include writing samples or a copy of a poster or other presentation. Informal inquiry can also be sent to Dr. Cai. Application deadline: The application deadline is July 31. The position will remain open until filled. Review of applications starts as soon as they are received. Mingbo Cai Assistant Professor International Research Center for Neurointelligence The University of Tokyo https://cailab-ircn.org/

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