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Jobs Posted on the Whova Community Board of COSYNE 2024

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Postdoctoral Fellow at UCLA — Ringach Lab
University of California, Los Angeles
Studies of population coding and adaptation in primary visual cortex using 2-photon imaging. Position funded by NIH. Initial appointment is for two years with the possibility of renewal. Email your CV if interested. Happy to discuss details at the conference.
Link: None
Postdoctoral position at the Weizmann Institute - Cohen lab
Weizmann Institute of Science
Have you ever wondered what are the mechanisms by which the brain organizes flexible and hierarchical motor sequences? What is the connection between long-range syntactic relations in behavior sequences and the ongoing execution of motor elements? How does circuit plasticity affords dynamics of such rich behaviors and learning of new syntax rules?

Our lab studies how the brain learns, controls, and perceives the syntax of flexible behavior.

We combine behavior studies and cutting edge physiology in songbirds with machine learning and neural networks theory.

Because our projects integrate across disciplines and levels of analysis, there are many ways to contribute and opportunities to create exciting new directions in systems neuroscience.

Join us! We are looking for excellent graduate students and postdocs interested in studying the neural basis of complex and flexible behavior.

Applicants should have a STEM background (Math, CS, Physics, Engineering, Neuroscience, Biology, or related field).

If you’re interested, please send me an email and tell me about yourself and about your interest in the lab.
Postdoctoral Fellow at KAIST - Cognitive Intelligence Lab
KAIST (Korea Advanced Institute of Science and Technology)
Cognitive intelligence laboratory

#Computational and Theoretical Neuroscience #Model Neural Network #Visual Perception
#Working Memory #Innate Brain Function #Evolution of Natural and Artificial Intelligence
#Multi-agent system #Behavioral diversity

Lab Director
Paik, Se-Bum

Lab Introduction
We perform research using tools from computational and theoretical neuroscience, to comprehend a wide range of topics including the origin and development of cognitive intelligence in both biological and artificial neural networks, the principles of evolution and the behavioral diversity of individuals in multi-agent systems, and many more. For details, find our recent publications at

Post-doctoral Fellow Positions:
A postdoctoral position is available to work on the following topics.
#Emergence of Cognitive Functions in Untrained Neural Networks
#Emergence of Social Behavior in Multi-Agent System
#Flexible and Stable Memories in the Brain and AI

Applicants with a background in computational neuroscience or related fields (Mathematics, Physics, Computer Science, Artificial Intelligence, Neuroscience, etc.) are encouraged to apply. Experience with scientific software packages, such as Matlab is expected.

Graduate and Undergraduate Student Researchers:
We are currently looking for excellent graduate and undergraduate student researchers. Students in any department are welcome to contact us to talk about potential projects, and join our research program.

If you are interested, please contact the PI at

Computational Specialist at Harvard Medical School
Harvard Medical School
Harvard Medical School's Department of Neurobiology is seeking a Computational Specialist to be a cornerstone of our ever-evolving research landscape. Based in the Department’s Vision Core, this is an exciting opportunity to be at the forefront of neuroscience research, supporting various experimental and computational laboratories in their machine learning endeavors. As the neuroscience community grows increasingly interested in using such expertise, having in-house resources for trainees to generate new models to test new ideas will be essential to the success of research projects. The Computational Specialist will work closely with faculty, students, and postdoctoral fellows to consult on machine learning approaches that would most effectively assist with their experimental needs.

Please check for more information on the role, and how to apply. Feel free to reach out to Jan Drugowitsch at the conference to get more information about the department.
Post doctoral or PhD position at the Technion Medical School, Schiller lab
Technion Medical School
We study mechanisms of lifelong learning and storage of memories using the motor system in mice models. We approach the question at a cell type dependent manner and at multiple resolutions, from spines, single cells and their parts dendrites and axons and up to the network level.
We use two and three photon imaging, viral, genetic, and artificial intelligence methods. We also use advance analysis methods.
Appointment is fully funded for three years with possible renewal. Email your CV if interested. Happy to meet at the conference and discuss options.
Postdoc or Senior Research Scientist
Franks Lab at Duke University
We are looking to hire a postdoc and/or a Senior Research Scientist to join the Franks Lab in the Dept. of Neurobiology at Duke.

We aim to understand the neural circuit mechanisms that support odor coding and odor memory in the mouse olfactory system. We use a combination of dense extracellular recordings with behavioral assays and targeted circuit perturbations to understand these processes.

Come join us!
Postdoctoral Fellow at Harvard Medical School - Lee Lab
Harvard Medical School / Boston Children’s Hospital
Interested in how neuronal circuits give rise to neural computations and dynamics? Join us!

We study neuronal circuits involved in action selection, execution, and refinement across species. To do so, we develop and apply tools for ‘functional connectomics’, combining behavior, activity imaging, electron microscopy, machine learning, and modeling.

Email your CV if interested. I’m also happy to meet and chat this Friday or Saturday at cosyne.
Postdoctoral fellow at UCLA
UCLA Neurosurgery
Itzhak Fried and I are recruiting a postdoc to study brain decoding during awake memory tasks and sleep using single unit human intracranial recordings. Our long-term goal is a translational therapy in patients to ameliorate memory dysfunction.

Come say hi at my poster (2-167)—UCLA has a tremendous research environment and Los Angeles isn’t a bad place to live either 😁

Or shoot me a message on here and we can meet up!
Postdoctoral, PhD and Master research position available in Paris
Institute for NeuroModulation and NeuroSpin
Several positions available to do computational or experimental neuroscience to unveil the neural basis of flexible behaviour in humans (including clinical populations) and other animals.

Available projects are highly multi-disciplinary, including the development of statistical methods to make sense of large scale data already collected from humans and other animals performing complex tasks, as well as the collection and analyses of human data (e.g. 7T fMRI, pharmacology and clinical populations). Purely computational projects are also available.

Both quantitative and experimental backgrounds are appreciated. If interested in the computational aspects of our research, a quantitative background is desired. If interested in experimental design, collection and analyses of new data, experimental backgrounds are preferred.

The Computational Brain team is located in two places.

1) Institute for NeuroModulation (INM), Saint Anne Hospital, Paris, France. The INM combines clinical activity and research in invasive computational psychiatry with basic research in computational neuroscience. Team members spend most of their days here. Florent Meyniel (team leader) and Philippe Domenech are the two other PIs.

2) NeuroSpin, Paris-Saclay campus. NeuroSpin, directed by Prof. Stanislas Dehaen, is a world-class brain imaging center, equipped with a MEG system (Elekta, Neuromag), and several human MRI scanners (3T Prisma, 7T, and 11.7T), all research-only. The community at NeuroSpin is very stimulating, combining physicists, machine learning experts and cognitive neuroscientists. Team members go there to collect data and collaborate with their colleagues in the Cognitive NeuroImaging Unit.
Assistant / Associate Professor of Theoretical Biophysics and Machine Learning
Donders Institute for Brain, Cognition and Behaviour
You will join the Physics of Machine Learning and Complex Systems Group at the Donders Centre for Neuroscience (DCN) and perform internationally leading theoretical research in an area of theoretical biophysics or theoretical machine learning based on theoretical physics. You can also integrate your research to neuroscience problems studied at DCN, and you will engage actively in interdisciplinary research collaborations with other physicists in Radboud University's Faculty of Science and with external partners. You will contribute to the teaching and the innovation of the physics curriculum at the Faculty of Science, including Radboud's popular theoretical machine learning and biophysics courses. Finally, you will contribute to the administrative tasks for the position, and will strengthen the role and visibility of Radboud University in the international Theoretical Biophysics landscape.
For more information, please check the website.
Research Scientist (Computational)
Machine Medicine
Machine Medicine is a VC-backed company based in central London, building the software and data layer for neuromodulation and BCI-based therapeutics more generally. Their flagship product, Kelvin, is a video-based motor assessment platform for movement disorders, such as Parkinson’s disease (the leading indication for DBS (Deep Brain Stimulation). Our software systems (mobile and web based) capture, store and render accessible multimodal data sets, while our ML systems assist in activities such as patient assessment and selection, and device programming.

The successful candidate will join the data science and ML team, contributing to video based motor assessment, recommender systems for neuromodulation device programming and other challenging problems.

There is abundant opportunity for publications, and strong collaborations with active academic research groups in the UK and USA.

Strong statistics and probability is a necessity. A PhD in computational neuroscience, statistics or similar quantitative topic is required, together with a strong publication record.

Very competitive salary and stock options available for the right candidate.
Flatiron Research Fellow, Neural Circuits and Algorithms, CCN
CCN, Flatiron Institute, NYC
Applications are invited for Flatiron Research Fellowships (FRF) in the Neural Circuits and Algorithms group (Dmitri “Mitya” Chklovskii, PI) at the Center for Computational Neuroscience at the Flatiron Institute of the Simons Foundation, whose focus is on reverse engineering neural computation on the algorithmic level to facilitate building artificial intelligence and treating mental illness. The CCN FRF program offers the opportunity for postdoctoral research in areas that have strong synergy with one or more of the existing research groups at CCN or other centers at the Flatiron Institute. In addition to carrying out an independent research program, Flatiron Research Fellows are expected to: disseminate their results through scientific presentations, publications, and software release, collaborate with other members of the CCN or Flatiron Institute, and participate in the scientific life of the CCN and Flatiron Institute by attending seminars, colloquia, and group meetings. Flatiron Research Fellows may have the opportunity to organize workshops and to mentor graduate and undergraduate students.

For more information and to apply, please visit:

Please also feel welcome to drop by the Simons Foundation table at the Simons Foundation reception on Friday, March 1 from 8:30-10:30 PM in the Lisbon Congress Center Restaurant.

Postdoc/PhD positions at the Sorbonne in Paris, France
Sorbonne Université
A postdoctoral and a PhD position are available with Matthew Chalk (, at the Vision Institute (, within the Sorbonne Université, in Paris, France.

The projects are highly interdisciplinary, and involve investigating principles of visual neural coding in the retina. Their common aim is to understand how different coding objectives such as optimising efficiency or encoding predictive information, can explain the diverse ways that neurons in the retina respond to visual stimulation.

The PhD is part of an ERC doctoral training programme (, and will involve extensive travel with different labs within the network. The Postdoc is part of a collaboration Olivier Marre (, & Philip Berens & Thomas Euler at the University of Tubingen (,

The Vision Institute is a stimulating environment for brain research. It brings together in a single building researchers, clinicians and industrial partners in order to discover, test and develop treatments and technological innovations for the benefit of visually impaired patients.

The candidate will have a PhD with a strong, quantitative background (ideally in fields such as machine learning, theoretical neuroscience or physics), coupled with an interest in learning about visual neuroscience. They will have a good grasp of oral and written English (French is not required). Most of all, they will enjoy tackling new problems with enthusiasm and as part of a team.

Please email, and/or come and speak to me at the conference if you are interested.

Formal applications should include a CV, a statement of research interests (~ 1 page), and a letter of recommendation. Electronic submissions in pdf-format are preferred and should be sent to Matthew Chalk (
Postdoctoral fellows at SWC, Duan and Erlich labs
Sainsbury Wellcome Centre, UCL
Jeff Erlich and I (Ann Duan) are jointly recruiting 2 (systems and/or computational) postdoctoral fellows to study the behavioral, neural, and computational mechanisms underlying economic decision-making and multi-player games in rodents. Competitive London salaries, and beautiful SWC community.

Come chat with us at the following posters:

Thursday: 1-134 Distinct cortical mechanisms for egocentric vs allocentric planning (Erlich lab).

Friday: 2-106 Cortical representation of economic values independent from actions (Duan lab).

Saturday: 3-095 Mice dynamically adapt to opponents in multiplayer games (Duan and Erlich labs).
Postdoctoral researcher at Charité Berlin
Charité Berlin
Our lab’s research is dedicated to uncovering how experience transforms neural activity. We focus on learning, the neural circuits governing flexible behavior, and the disruption of cognitive processes in mental disorders. A key area of our research centers on understanding the mechanisms that increase susceptibility to mental disorders following early adverse experiences. To address these questions, we use rodent models, and large-scale recordings with Neuropixels probes, innovative behavioral paradigms, optogenetic perturbations, and advanced data analysis methods.

Berlin is not only a fun place to live but also home to a vibrant international Neuroscience research community. Research topics span from molecular to systems neuroscience and approaches covering fundamental, translational and clinical research. Charité Berlin offers career development trainings and workshops the successful candidate can benefit from. The lab offers individual mentoring and access to state of the art experimental techniques allowing for innovative research.

If you share our scientific interests and want to design and conduct behavioral and ephys experiments and you are also interested in data analysis, this might be for you.

Ideally you have:
- PhD in a relevant field, e.g. (Computational) Neuroscience, Life Sciences, Engineering, Computer Science
- Experience with neural data acquisition and behavioral experiments
- Solid experience in scientific programming and data analysis (e.g. Python and/or Matlab)
- Interest in teamwork and collaboration
- Analytical approach to problem-solving
- ability to work independently
- good communication skills in English

For more info, please get in touch at the meeting or reach out at
Postdoc position in systems neuroscience, Voigts lab at Janelia
HHMI Janelia Research Campus
The Voigts Lab at Janelia Research Campus has a postdoc position to work on how neocortex learns and applies models of the world to give animals complex cognitive abilities, such as interpreting ambiguous sensory information, learning from individual events, or planning based on partial information. We will study the neural basis of flexible cognition by examining naturalistic behaviors that require animals to perform such sequential computations, yet are learned very quickly.

We're part of the Mechanistic Cognitive Neuroscience research area at Janelia. Postdocs here have access to an unusual amount of resources and support, allowing us to make rapid progress on challenging questions. Most importantly, we are working closely with experimental, theoretical, methods, and machine learning researchers to make this research program possible, collaborative, and fun. Our lab website is [](, I'm around all of cosyne + workshops, reach out if you're interested and want to know more.
Postdoc at Mount Sinai School of Medicine - Schaffer Lab
Icahn School of Medicine at Mount Sinai
The computational neuroscience lab of Evan Schaffer at Mount Sinai is recruiting postdocs to work on several topics, including embodied reinforcement learning, social behavior, and representational drift. Descriptions of current projects here:

The Schaffer lab is a member of the Friedman Brain Institute and the Department of Neuroscience, where we have spectacular colleagues and collaborators.
Gatsby Fellow in Theoretical Neuroscience
Gatsby Computational Neuroscience Unit, UCL
We are now inviting applications for a post-doctoral training Fellowship under the guidance of Dr Agostina Palmigiano, focussed on developing theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations.
ML researcher/computational neuroscientist at BSc/MSc level
Medical University of Vienna
The Dynamics of Neural Systems Laboratory at the AI Institute of the Medical University of Vienna is looking for an enthusiastic candidate to advance our research in animal locomotion modeling for brain computer interfaces.

The position can either be an internship, but we can also accommodate Masters projects.

Period: 6 months paid
Skills: Strong skills in ML and/or advanced statistical data analysis techniques. Experience with neural and kinematic data is an advantage. Motivation to work with biological data is a must.
Compensation: PhD level
Background: Any quantitative background (CS, maths, physics, comp neuro, engineering etc.)
Starting date: as soon as possible
Postdoc position is systems neuroscience to study social cognition
Center for Neuroscience and Cell Biology (CNC-UC)
The Neural Circuits of Social Behavior group is looking for a computational neuroscientist to help us understand how animals perceive the emotions from others, using multiagent reinforcement learning. If these topics interest you and working in Portugal seems like a good plan, reach out!! I will be available to talk during CoSyNe
Postdoc position in computational social cognition in Coimbra
Center for Neuroscience and Cell Biology (CNC-UC)
We are seeking a computational neuroscientist / theorist that will help us understand how animals perceive the emotions from others, using multiagent reinforcement learning and neural population modeling.
Postdoc at Washington University in St Louis -Hiratani lab
Washington University in St Louis
We are seeking to recruit one or two postdocs in the field of computational neuroscience. The research focus areas include learning and computation in wide neural networks (such as the olfactory system, cerebellum, and the octopus vertical lobe), biologically plausible credit assignment, large-scale neural and behavioral data analysis, and structured knowledge processing in the brain. For more detailed information, please visit our laboratory’s website (

Our lab is located in a new 11-story building dedicated to neuroscience research, offering rich opportunities for collaboration with leading experimental labs. For general information on postdoc positions at Washington University in St. Louis, please refer to

If you are interested, please feel free to email me or talk to me at the conference.
Postdoc in Visual Neuroscience at LMU Munich - PI: Laura Busse
LMU Munich

If you are interested, please reach out either in person at Cosyne or send a message
Postdoc in computational neuroscience at Northwestern - Glaser lab
Northwestern University
We are recruiting postdocs to develop interpretable machine learning methods to better understand neural activity data. Current lab focuses include multi-region modeling, neural decoding, and latent variable modeling. Further details are on our website:

If you are interested, please send me an email - I'd love to chat at the main meeting!
Postdoc in Computational Neuroscience at UCLA - Dipoppa Lab
We are looking for postdocs in Theoretical and Computational Neuroscience to investigate how brain computations emerge from the dynamics of the underlying neural circuits and how the neural code is shaped by computational needs and biological constraints of the brain. Candidates should have a publication track record in Computational Neuroscience or a related quantitative field, including but not limited to Computer Science, Machine Learning, Engineering, Bioinformatics, Physics, Mathematics, and Statistics. Our research team, the Theoretical and Computational Neuroscience Laboratory, is on the main UCLA campus and enjoys close collaborations with the world-class neuroscience community there. We strongly encourage candidates to apply early, as applications will be reviewed until the positions are filled. For more information see
Postdoctoral fellow in predictive cortical learning and neuromodulation
University of Edinburgh
An experimental postdoctoral position is open in the lab of Rebecca Jordan, using virtual reality paradigms, electrophysiology, and optical approaches in mice to investigate predictive plasticity in the visual cortex and the role of neuromodulation in such plasticity.
Postdoc in Statistics & Neuroscience in the Reinagel lab
Recruiting for a postdoc to study nonstationarity and multiple timescale correlations in neural and behavioral data, with a view to developing statistical methodology. A joint project of the labs of Pamela Reinagel and Armin Schwartzman at UCSD.
Postdoc at University of Edinburgh - Chadwick lab
University of Edinburgh
We are recruiting a postdoc to work on an exciting project developing novel methods to analyse large-scale neural recordings over learning. The position is part of an international collaboration between the labs of Angus Chadwick (Edinburgh), Alex Cayco-Gajic (ENS Paris) and Matt Perich (U Montréal). The role is based primarily in Edinburgh but funding is available to spend extended periods of time in both Paris and Montréal.

Please get in touch if interested! I'm happy to chat about the position in person at the conference or by email.
PhD/Postdoc positions in Marseille (France)
Timone Neuroscience Institute
We are inviting applications for PhD and post-doctoral training under the guidance of Fanny Cazettes. 

The fellow will study dynamical and computational neural mechanisms underlying flexible behaviors in mice performing a foraging task in virtual reality. 

The lab is located in sunny Marseille (south of France) by the Mediterranean sea.

Find me during the meeting or come chat with me at the workshop:

A reservoir of foraging latent variables in the he mouse brain and facial expressions

Monday, March 4, 16:30 pm, Salla II
PhD and Postdoc positions on the neuroscience of navigation and decision-making
The Hebrew University of Jerusalem
How do you choose a restaurant for date night? The food obviously needs to be good, but the place shouldn’t be too far, especially if there is heavy traffic in the evening. Such decisions are cognitively challenging because for each possible option, you are likely estimating the distance, considering road conditions, and trying to gauge how the food was during your previous visits. After all that, these properties need to be traded off and compared so that a final decision can be made.

We are an interdisciplinary lab, that aims to understand how the brain solves such challenging problems. To achieve this, we use large scale neural recording techiniques (tetrodes and neuropixels), neural perturbations, and high dimensional neural data analysis.

We are looking for PhD students and postdocs who are interested to work at the interface of experimental and computational neuroscience. If you find out questions and techniques interesting, lets chat during the meeting (or just feel free to send me an email).
Italian Institute of Technology
Come study how mice learn to hunt efficiently using Neurpixels, two-photon imaging, and highly quantitative machine-learning-assisted behavioral assays. And when you feel tired, you can hike in the beautiful Alps all around the lab. The initial appointment is funded by the Armenise-Harvard Foundation for two years, with the possibility of renewal. Email your CV if interested. You can find me at the conference.
PhD at the Simons Initiative for the Developing Brain - University of Edinburgh - Pagan Lab
Simons Initiative for the Developing Brain
I am recruiting a PhD student to study the neural mechanisms underlying flexible decision-making, and how these are altered in rat models of autism.

The project will involve training rats to solve context-dependent decision-making tasks, performing experiments using wireless electrophysiology and optogenetics, and computational modeling.

The position is at the Simons Initiative for the Developing Brain, a highly collaborative research centre within the University of Edinburgh.

Please get in touch if interested! I'm happy to chat in person at the conference or via email.
Postdoc position in theoretical/computational neuroscience in the Wehr lab
University of Oregon
Projects include: development of analytical and modeling techniques to study the hierarchical structure of natural behavior and neural activity at multiple time scales, including hunting and social behaviors in mice; and delay-embedding techniques to study large-scale network degradation in an Alzheimer's mouse model, using 2P and ephys data. Funding for 2 years with possibility of renewal. These are collaborative projects in the labs of Mike Wehr and Luca Mazzucato.
The Institute of Neuroscience at the University of Oregon is a thriving group of systems and theoretical neuroscientists in the beautiful Pacific Northwest, surrounded by hiking, skiing, kayaking, and close to the Pacific ocean.
If you’re interested, let’s chat at the meeting, send me an email or text.

Postdocs (2): Communication among sensorimotor cortices, where state space meets biology
University of Chicago, Emory University
We invite qualified applicants for one of two open postdoc positions on our highly collaborative team studying the neural population dynamics underlying communication between sensorimotor cortices. One postdoctoral fellow will perform two-photon imaging experiments in mice performing reaching tasks (Prof. Matthew Kaufman’s lab, U Chicago, Chicago), and the second fellow will perform computational analyses and AI methods development using the collected data (SNEL, Emory U, Atlanta). This project will build upon our previous collaborative efforts to uncover latent dynamics from large neural populations using 2P imaging (RADICaL; Zhu… Kaufman*, Pandarinath*, Nature Neuroscience 2022). The experiments will use a Diesel2p to image activity from multiple areas simultaneously, and the computational component will extend RADICaL to infer dynamics and communication from these multiple areas.

This position requires a minimum 2-year commitment and physical relocation to Chicago (experimental fellow) or Atlanta (computational fellow). The labs have experience working together closely and there will be mentorship and advising from both PIs.

Informal meetings at COSYNE can be set up with either PI, email or for more information.
Postdoc position in systems neuroscience to study spatial orientation
University of Cambridge
Applications are invited for a postdoctoral position (experimental) in the lab of Dr. Sepiedeh Keshavarzi at the University of Cambridge.

The position involves investigating the organisation and function of neural circuits underlying spatial orientation and self-motion perception, funded by the Wellcome Trust. The project provides the opportunity to integrate behaviour, electrophysiology, calcium imaging, and circuit manipulation across thalamic and cortical networks involved in navigation, using the mouse model. Further information about the lab’s research questions and approaches can be found at

To learn more about the position and to apply, please visit

Informal in-person discussions about the position can be arranged during the Cosyne meeting, 29th February - 5th March (
Postdoc in Functional Imaging and Connectomics at Yale
Dept of Neuroscience, Yale School of Medicine
We aim to understand how neuronal connectivity in brain circuits gives rise to cognition, using a variety of experimental and computational techniques, including volume electron microscopy, x-ray imaging, 2p calcium imaging, virtual reality behavior, circuit modeling and machine learning. Especially seeking candidates with backgrounds in experimental systems neuro, computational neuro, biomedical engineering, hardware or software engineering. If you’re interested pls contact me and we can find a time to talk!
various phd, postdoc or other positions in computational and experimental vision
Max Planck Institute for biological cybernetics.
we have various possibilities, see or ask me directly,
come to our posters or email me
ERC funded PostDoc Position, serotonin & decision making
Institute of Biology at Humboldt Universität zu Berlin
Research in the Decision Circuits Lab located at the Bernstein Center for Computational Neuroscience Berlin focuses on the fundamental neural principals that underlie decision-making. By employing state-of-the-art tools in systems neuroscience, we seek to develop cortical circuits and ask how dopamine and serotonin enable adaptive decisions.
PostDoc or PhD in Functional Digital Twins
University Göttingen
Our lab is looking for a new team member to develop deep learning predictive models (functional digital twins) for experimental data in mice and monkeys to study the visual system and its role for shaping behavior. We can offer a range of projects focused around this topic.

We offer a highly collaborative and team oriented work environment, both within lab and across labs with our experimental collaborators. Potential candidates should be enthusiastic about using machine learning for modeling neuronal responses and understanding their function. A strong background in machine learning, programming, and necessary mathematical tools (e.g. linear algebra, probability calculus) is required. Potential PhD students can demonstrate this via an excellent master’s degree in computer science, cognitive science, physics, math or related fields. PostDoc candidates could demonstrate this by an excellent publication record.

If you are interested, please send me an email with your CV, or DM me if you want to talk to me in person on Cosyne.
Research technician in systems neuroscience at CSHL
Cold Spring Harbor Laboratory
Cold Spring Harbor Laboratory is seeking candidates for a research technician position in the Javadzadeh Lab starting May/June 2024 (start date is flexible), to work at the intersection of experimental and computational neuroscience. Applicants are expected to have a bachelor’s degree in a STEM field. 

We record, analyze, and model neural population activity in the visual cortex of mice, to understand the mechanisms underlying visual perception. 

To learn more about the position or to apply, please visit:
Position ID 738

Feel free to reach out to me during Cosyne to discuss the position.
PhD or postdoc - neural data science research
Benisty Lab, Technion
Computational research of learning mechanisms through novel analysis of high dimensional and dynamic networks
Post-doc in computational neuroscience
UT Southwestern Medical Center
The Computational Neuroscience lab directed by Dr. Wenhao Zhang ( at the University of Texas Southwestern Medical Center (UTSW) Department of Bioinformatics and Brain Institute is currently seeking up to two postdoctoral fellows to study fundamental and cutting-edge problems in computational neuroscience.

The ongoing research topics include:
1) The neural circuit implementation of Bayesian inference.
The Bayesian inference has been formulated as the math framework underlying perception and cognition. We have been asking how recurrent networks implement Bayesian sampling (Zhang, Nat. Comms. 23; bioRxiv 20), and using this framework to explain the multisensory integration (Zhang, eLife 19; J. Neurosci., 16; NeurIPS 13), causal inference (Zhang, NeurIPS 19; 16), and confidence computation in decision-making.
2) The recurrent circuit mechanism of stimulus equivariant representation through group symmetry (invariance/equivariance) as the designing principle of neural circuit processing. We have used the group theory to explain flies’ compass circuit (Zhang, NeurIPS 22) and temporal scaling of recurrent circuits (Zuo, NeurIPS 23).
3) Dynamical analysis of recurrent neural circuit models.
We are interested in the dynamics of continuous attractor networks (Zhang, bioRxiv 20; F1000 Faculty Rev) and the excitation-inhibition balanced spiking networks.
4) NeuroAI: developing next-generation brain-inspired AI.

Our current collaborations with experimental neuroscientists on campus include Brad Pfeiffer (hippocampus, learning and memory), Todd Roberts (songbirds), Zhongzheng Fu (cognitive control in humans), Daisuke Hattori (Drosophila, learning and memory). The Department of Bioinformatics at UTSW provides competitive salary ($70K + $20K after postdoc fellowship) and benefits packages.

Interested candidates should email Wenhao with your CV and a statement of research interests and research plan, and the names and contact information for three references.
Postdoc in computational cognitive science with Marcelo Mattar and Weiji Ma
New York University
Marcelo Mattar and Weiji Ma are recruiting a postdoc to study human planning in chess using a massive dataset of online chess matches.

Research description: The overall goal of this NSF-funded research is to characterize the cognitive computations underlying human planning in chess, a task where the number of possible futures is exponentially large. We will use a massive dataset of almost 4 billion games of chess that have been released to the public. To analyze this dataset, we will leverage AI systems for playing chess to quantify the quality of human decisions and to measure the variables that contribute to them.
Postdoc (F) position at Jülich Research Center
Forschungszentrum Jülich
Postdoc with a focus on the simulation of large-scale biological neural networks in the Theoretical Neuroanatomy group at Jülich Research Center, Germany ( The research program centers on the full-scale simulation of thalamocortical networks using the simulator NEST.

The position is available in the context of the Henriette Herz Scouting Program of the Humboldt Foundation, and will be offered to a female candidate. The program is particularly aimed at candidates from countries underrepresented in the Humboldt Foundation. We will jointly define a research project and the selected candidate will receive a Humboldt Research Fellowship ( The position is available for 24 months for postdocs up to 4 years after the PhD defense and for 18 months for experienced researchers 4-12 years after the PhD defense. The PhD defense should not be more than 12 years ago, and candidates should not have previous or existing links to Germany in terms of study, research stays, or citizenship. Due consideration will be given to any gaps in the CV due to family care or other personal circumstances.

You will be embedded in a vibrant research institute ( Teaching is possible at the University of Cologne.

To apply, please send a motivation letter, CV, and university transcripts and certificates to and to our scientific coordinator Martina Reske (
Postdoc w Driscoll group at Allen Institute
Allen Institute
Excited to announce that I will be leading a new theory/computation research group at the Allen Institute for Neural Dynamics, and we’re hiring a postdoc!

Together, we will use neural network simulations and reverse engineering approaches to develop hypotheses for how the brain balances stability and flexibility for lifelong learning. We will work closely with experimentalists to gain insights about biology and help design the experimental approach.

I was drawn to the new dynamics institute at Allen because of its great leadership (Rui Costa and Karel Svoboda) and the seemingly limitless possibilities for experimental collaboration. The Allen Institute for Neural Dynamics is brand new and already kicking off with multiple exciting projects tracking several neuromodulators in conjunction with neural activity (many Neuropixels probes in one brain) and behavior. There’s a lot of interest here in building a tight feedback loop between theory and experiments.

Read more about my research interests here:

I’m happy to be able to offer postdoc pay that is generally higher than a typical academic position, with a starting salary at 95K. As your mentor, I will continue the approach of my postdoc advisor, Krishna Shenoy, of ‘putting people first’. I will try my best to get you wherever you want to go with your career. Seattle is a great city with incredible nature all around.

I’m also setting up adjunct affiliations at University of Washington, so anyone that might want to do their graduate thesis with me should apply to the graduate program in neuroscience at UW.

If you’re interested, please reach out to or find me at the meeting.
Postdoc in the Clopath Lab
Imperial College London
Postdoc in Computational Neuroscience
Postdoctoral position in Marseille - Fontolan lab
Centuri - Université d’Aix-Marseille
The Neural computation and dynamics lab led by Lorenzo Fontolan in Marseille, France is seeking a postdoc to join the group. The project is funded for 2 years by the Turing Centre for Living Systems (CENTURI) and can start as early as April 2024.

The selected candidates will develop computational models of brain circuits drawing inspiration from dynamical systems, physics, and machine learning. Research questions can be chosen from a range of topics – such as neural dynamics, neural coding, memory & learning, biophysics of the neuron. The lab collaborates with local and international research groups employing advanced experimental techniques such as calcium imaging, optogenetics, and in vivo electrophysiology.

Inmed, which accommodates more than 130 international researchers, is located inside the beautiful Luminy site of the Parc National des Calanques (Marseille). The lab is also affiliated with the Center for Theoretical Physics here in Marseille.

Candidates with backgrounds in physics, mathematics, statistics, machine learning, computer science, and engineering are welcome to apply. The candidate should possess good mathematical and coding skills, plus the ability to think critically.

In the Fontolan lab we are committed to creating an inclusive environment open to individuals from different cultures, ethnicities, and socio-economic backgrounds.

Candidates should send a CV, a statement of interests, recommendation letters, and expected date of availability to:
Computational Modeling and Systems Neuroscience with large-scale calcium imaging data
Rockefeller University
Our lab has developed a portfolio of optical technologies that allow for large-scale and whole-brain optical recording of neuroactivity at high spatiotemporal resolution across model systems with our most recent imaging technology capable of recording the activity of 1 million neurons distributed across different depths of both hemispheres of the mouse cortex at cellular resolution. Using this data we have found an unbounded scaling of dimensionality with neuron number that is mainly driven by an ever-increasing number of dimensions without immediate behavioral correlates. They exhibit multi-scale temporal dynamics that cortex-wide distributed, highlighting that large-scale recording is required to uncover the full neural substrates of internal and potentially cognitive processes.

Which fundamental questions in neuroscience would you be able to uniquely address with such capabilities and how would you use such data to inform computational models about the brain?

We are looking for highly creative and ambitious candidates interested in pursuing projects based on their own ideas or within existing lines of work at the interface of experimental and computational system neuroscience.

• Ph.D. in computational / systems neuroscience, computer science, physics, electrical engineering or related field.
• Prior experience in one and more of these areas: statistical analysis of large-scale experimental data, computational modeling, machine leaning, systems neuroscience, multi-photon microscopy, design of behavioral experiments in rodents.
• Programming skills (Matlab, Python)
• Excellent organizational and communication skills, ability to work in an interdisciplinary team and willingness to work outside their core expertise

How to apply
Candidates should send their CV, list of their publications and contact information of two references to For more information visit our website at:
Postdoc in the neural mechanisms of complex thought
The Stauffer Lab at the University of Pittsburgh
We are looking for postdocs to join our NHP lab and study how thinking happens. Interested candidates should email Bill at with a CV. Bill will only be at the meeting on Friday, but Willa Kerkhoff ( is a grad student in the lab and will be around if anyone wants to learn more from her. There is also an ad posted on Pitt’s website; here is the text:

The Stauffer Lab ( at the University of Pittsburgh invites applications for a highly motivated Postdoctoral Research Fellow to apply behavioral, physiological, and molecular approaches to study the neural mechanisms of complex deliberation.

The successful candidate is expected to take a role in ongoing research projects and to collaborate with Dr. Stauffer to establish new lines of investigation. S/he will regularly interact with members of the Stauffer lab and the growing community of neuroscience researchers at both Pitt and Carnegie Mellon University (CMU) including researchers affiliated with organizations such as the Center for Neuroscience at the University of Pittsburgh (CNUP) and the Center for the Neural Basis of Cognition (CNBC). Postdocs can thus interact with numerous labs sharing similar research interests, and participate in neuroscience seminars, retreats etc.

Applicants must have a PhD in Neuroscience, Psychology, Engineering or another relevant field. Applicants must have demonstrated productivity and possess a genuine curiosity of how neural circuits mediate complex thinking. Experience with nonhuman primate behavior, neurophysiology, and computer programming is preferred but not required. Candidates must be a US citizen, permanent US resident, or possess a US working permit.

Interested candidates should apply through the University of Pittsburgh Talent Center( Job Search ( . Apply to requisition #24001697 and attach a brief statement of research interests and CV.
Research Scientist - Reality Labs
Reality Labs at Meta
Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.

We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.
Research Engineer - Reality Labs
Reality Labs at Meta
Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we’re building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction.

We’re looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company’s AI-driven AR/VR agenda.
Research Scientist - Neuromotor Interfaces (Technical Leadership)
Reality Labs at Meta
Reality Labs at Meta is seeking Research Scientists with experience in machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We’re building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively with single motor neuron resolution. This technology will become one of the main pillars for interaction with the virtual and augmented world.

We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals (i.e., electromyography or EMG), developing novel signal processing and machine learning methods to infer a user’s intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.

EMG signals are similar in many ways to other neural signals and audio signals and can be analyzed using many of the same approaches. For example, the task of transcribing characters typed on a keyboard from wrist-based EMG is closely analogous to that of automatic speech recognition. We’re looking for people who want to shape the future of this technology and explore this exciting new territory with us.
Seessel Postdoctoral Fellowship with the Saxena Lab at the Wu Tsai Institute at Yale University
Wu Tsai Institute at Yale University
Computational postdoctoral position in NeuroAI, funded by the Endowed Seessel Postdoctoral Fellowship at Yale University. The candidate will be advised by PI Saxena at Yale University. The Saxena lab focuses on dynamical systems in neuroscience, with applications in motor control, social behavior, and region-region communication.
Link: None
Postdoctoral or PhD position (ML and data analysis) in the Computational Neurophysiology Lab
Humboldt- University Berlin
Our group uses computational and mathematical methods to investigate neural computation in nervous systems of diverse species (from jellyfish to humans). We are interested in how cellular, biophysical properties impact circuit behaviour, often including a perspective how the system may have been optimized during evolution and aiming for a mechanistic understanding of information processing. Currently, we are looking for scientists with an interest in applying machine learning to the analysis of biological data, like the connectomes of diverse species. A new research direction in the lab encompasses mitochondria, both as a means to better understand the energy efficiency of neural computation as well as to gain insights about the functional relevance of connectivity beyond what can be extracted from synaptic anatomy alone.

We are located on a green campus in the center of Berlin. If you have a strong quantitative background, are highly motivated to work on biological questions and would have fun working in an interdisciplinary, international team, we look forward to hearing from you via e-mail (contact Susanne Schreiber) or in person at our poster 3-115 on Saturday afternoon.
Visiting Assistant Professor
Reed College
The Reed College Biology Department seeks applicants for a two-year position in Neurobiology to begin August 2024. Each year, the selected individual will teach an upper-level neurobiology course with lab, a team-taught introductory neurobiology course with lab, and a seminar in their area of expertise. The individual will also supervise year-long biology and neuroscience senior thesis projects. We seek candidates pursuing research questions in Systems, Computational, Cellular, Molecular, and/or Developmental Neurobiology with a focus on research organisms supported by departmental facilities, including fish, amphibians and a wide range of invertebrates. Candidates must have a Ph.D. in Neurobiology or a related field by August 2024. We especially welcome applications from candidates with experience teaching undergraduates.

Reed College is a community that values cultural diversity and inclusive educational practices as essential to the excellence of our academic program. In your application materials, please address how your teaching, scholarship, mentoring, and/or community service has supported these values and how your work at Reed will support the commitment to diversity, equity, and inclusion articulated in Reed College’s diversity and anti-racism statements (

Applications should include a cover letter, CV, a statement describing your goals in research and teaching, and three letters of recommendation. An Equal Opportunity Employer, Reed values diversity and encourages applications from members of underrepresented groups.

Review of applications will begin March 15th and continue until the position is filled. Send materials to Erik Zornik, chair of the search committee, at
Postdoc position in computational neuroscience and machine learning
VIB and KU Leuven
We are looking for a postdoc candidate interested in using computational methods to study the remarkable robustness of neural systems. This project will make use of our previously developed machine learning methods and toolbox, and depending on the selected candidate’s interests, can involve further method development. There will be flexibility to customise the project and ample opportunities to collaborate with top experimental and theoretical partners locally and internationally.

For further information, please send an email to with subject title Inquiry: postdoc position.
Postdoc: Finding & modelling signatures of learning in neural populations
We are looking for a post-doc to help us analyse and model signatures of learning in large populations of neurons. This project is a collaboration between the experimental lab of Mathew Diamond and the theory lab of Sebastian Goldt at SISSA.

Our project is based on a new problem-solving task developed for rats. We will have large-scale NeuroPixel recordings from the animals as they figure out the task, and we want to look for signatures of learning in the recordings (that's the ML part) and ultimately come up with neural network models that account for our measurements (that's the theory part). The precise orientation of the project between data analysis and theory will also depend on the profile and interests of the candidate!

Sebastian is at Cosyne, feel free to come up to chat to him. The modelling approach could be based on the work presented in poster 67 on Saturday.
One-year postdoc or visiting scholor
Kyoto University
A one-year postdoc position is available in the area of active inference (Bayesian brain + action) or nonlinear state-space modeling at Kyoto University in Japan. A shorter visit as a visiting scholar is also welcome. If you want to experience the beautiful Kyoto city in your career even for a short time, here is the opportunity. Please send me a message if you are interested in it.
Swartz Fellowships
Yale University
The Swartz Center at Yale has openings for computational neuroscience postdoctoral fellowships who would like to work with one or more faculty members ( Applicants should send a CV, 1-2 page research proposal identifying potential faculty mentors, and 2 letters of recommendation to Jess Cardin ( and Steve Zucker (
Link: None
Postdoc in Pachitariu-Stringer lab
HHMI Janelia
We are seeking postdoctoral associates to investigate how large neural populations of neurons perform complex computations. For more details, please see
36 postdoc positions
University of Oslo
DSTrain is a 5-year postdoctoral programme that will award 36 postdoctoral fellowship positions of 36 months each in two calls over the programme period within the overarching frame of data science
Human brain data acquisition lead
Eon Systems
Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.

This position comes with significant responsibilities in the execution of human studies at Eon. As a key member of Eon’s human research team, you will report directly to the Chief Medical Officer and spearhead non-invasive brain activity studies. While this role initially does not include direct managerial duties, it is anticipated to evolve into a leadership position with direct reports as the organization expands.

We intend to recruit at least one more individual to assist and enhance your efforts within this capacity.

Full Job post + Application:
Research Engineer - Machine Learning (ML)
Eon Systems
Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.

Collaborating with a diverse team, including product managers, researchers, and engineering departments, your role involves conducting research on the application of cutting-edge of ML technologies to large-scale neuro datasets and transforming these insights into scalable, production-ready solutions.
Senior Software Engineer - Data Acquisition & Infrastructure
Eon Systems
Eon collects large-scale neuroscientific data sets to train machine learning based brain emulations. We believe it is possible to scale this technology in a safe, secure and trustworthy manner in the next decade and empower humanity in unprecedented ways.


The data infrastructure engineer is responsible for the setup and maintenance of systems capable of handling large amounts of neuroscientific data. You will be collaborating closely with the human / animal brain data acquisition and AI engineering teams, building the interface between data-acquisition and our machine learning models.

Full Job Description:
Scientist in bio-inspired ML
Allen Institute
The scientist will explore the effects that bio-realistic neurons, plasticity rules and architectures have on learning in artificial neural networks. This will be done by combining the construction of artificial neural networks with bio-inspired constraints.
Postdoctoral Researcher in Network Computational Neuroscience
Foundation for Research and Technology-Hellas (FORTH)
Analysis of functional connectivity of mouse visual cortex using graph theory, machine learning and signal processing.
Link: None
Postdoc/PhD at Tsinghua University
Tsinghua University
Research in machine learning and/or neuro-musculo-skeletal modeling for human motor control and interactive robotics (embodied intelligence).
WashU CTCN Postdoc Fellows
Washington University in St Louis
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The Center for Theoretical and Computational Neuroscience ( at Washington University in S Louis invites applications from outstanding Postdoctoral Fellows to work at the interface between theoretica and experimental labs at WashU. Deadline for applications is April 30th.
The CTCN is a joint initiative between the Schools of Medicine, Engineering, and Arts and Sciences, and provides a hub for neuroscientists to collaborate with mathematicians, physicists and engineers to find creative solutions to some of the most difficult problems currently facing neuroscience and artificial intelligence. Each CTCN Postdoctoral Fellow is based in at least two labs, but also has the opportunity to seek out new collaborations which help build new connections within the WashU community. We are looking for people with drive, independence and outstanding prior achievement, who are committed to leveraging interdisciplinary collaboration to drive forward the field of theoretical and computational neuroscience.
Washington University in St Louis is ranked in the top 10 worldwide for Neuroscience and Behavior. Salary for CTCN Fellows is significantly above standard NIH postdoc rates, and funds for conference travel are included.
The collaborative environment at WashU is a reflection of the critical importance placed on diversity, equity and inclusion and creating a welcoming place where postdocs can thrive. The St Louis metropolitan area has a population of almost 3M and is rich in culture, green spaces and thriving music and arts scenes, with a highly accessible cost of living.
For more details on this prestigious Fellowship opportunity, including how to apply, please see

Geoff Goodhill
Postdoc to combine 2p imaging/2p optogenetics in NHPs to study neural computation and visual perception
UC Berkeley
A position is available to combine high precision imaging and photo/stimulation techniques our lab has developed in mice to non-human primates (macaques or marmosets) to study visual perception and object recognition (partially in collaboration with Doris Tsao’s lab). Prior experience with NHP research is preferred.
Link: None
Postdoctoral Fellow
York University
Perform non human primate experiments (home cage behavioral testing, large scale neural recordings, and chemogenetic and transcranial ultrasound stimulation) along with computational modeling (in collaboration with many other labs internationally) to develop a model system to study autistic phenotype
Tsinghua University
Investigate basic principles of neural coding via closed-loop BCI.
Postdoc positions to work at the intersection of Machine Learning and Computational Neuroscience
University of Tübingen
Funded by the ERC Consolidator Grant “DeepCoMechTome: Using deep learning to understand computations in neural circuits with Connectome-constrained Mechanistic Models” (relevant work: The goal of DeepCoMechTome is to develop simulation-based machine learning tools that will make it possible to build neural network models that are both biologically realistic and computationally powerful. In addition to making central contributions to this interdisciplinary project, the positions will offer opportunities and support for developing your own research profile and career.

If you are interested contact us for more details!

Applications will be scanned on a rolling basis and the positions will be filled as soon as possible.
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