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Jobs Posted on the Whova Community Board of COSYNE 2022

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Postdoc at Harvard (Drugowitsch Lab) in computational neuroscience
Harvard Medical School
Location: Harvard Medical School, Boston, MA
Start: summer 2022 or after

We are looking for a highly creative and motivated postdoctoral fellow
to work in the field of computational and systems neuroscience in the
group of Jan Drugowitsch - Department of Neurobiology at Harvard
Medical School ( The group
works on questions of decision-making and navigation under
uncertainty, ranging from the level of neural populations to that of
behavior. We have strong ties to, and frequently collaborate with,
experimental labs. The postdoctoral fellow will develop
state-of-the-art theories of neural computations using machine
learning, neural networks, dynamical systems analysis, and
reinforcement learning, and will analyze the neural data collected by
experimental collaborators.

The position starts in or after June 2022, and is funded for several
years, with an initial one-year appointment and expectation of
extension given satisfactory performance. Salary depends on experience
and is at levels above the NIH scale.

Expected background: Candidates should have a strong analytical
background, such as in computational neuroscience, physics,
mathematics, engineering, or related, and feature an interest in the
role of computation in neural populations and in theoretical
neuroscience in general. Experience or familiarity with related
machine-learning fields is also desirable.

Application: Candidates should send a single pdf file, consisting of a
1-page motivation letter, CV, and publication list to If they are considered suitable
candidates, they will be requested to additionally organize two
letters of reference. The position is open until filled.

Dr. Drugowitsch will be available at Cosyne for questions and further information about the opening.
postdoc in macaskill lab @UCL (3 years funded)
reversal learning, attentional set shifting in mice; ibtersectional anatomy, ucla miniscopes, optogenetics, computational modelling.

advert will be posted in next week (ish)
Postdoc in Ecker Lab / Göttingen
University of Göttingen
We‘re looking for postdocs with a strong background in computational neuroscience and ideally experience with machine learning. There are currently two specific projects, but we’re also open to project proposals by potential candidates.

1) Data-driven multi-modal discovery of cell types in the neocortex

Understanding the relationship between structure and function of cortical neurons and circuits is one of the key challenges in neuroscience. In this project, we develop deep learning methods for data-driven identification of excitatory cell types in the visual cortex and to understand how a neuron’s morphology relates to its function. We will harness a unique large-scale functional anatomy dataset: a combination of electron-microscopy reconstructions at sub-micrometer resolution with two-photon functional imaging of nearly all excitatory neurons in one cubic millimeter of the mouse visual cortex.

Funded by an ERC Starting Grant and in tight collaboration with Andreas Tolias‘ lab at Baylor College of Medicine, Houston, TX, USA. Regular visits at our collaborator’s lab in Houston are encouraged.

2) Action Capture Platform: Deep learning for movement analysis and action classification

Studying social interactions and the underlying cognitive processes in humans and nonhuman primates requires observing and quantifying their behaviour, including body and head orientation, both in interactive lab settings and in the wild. The long-term goal of this project is to develop methods for automated, video-based recognition, motion tracking, and pose estimation of individual nonhuman primates as well as recognition of action types and inter-agent interactions in groups of primates freely moving primates.

This project is part of Collaborative Research Center SFB 1528 – Cognition of Interaction and in collaboration with several groups at the German Primate Center: Julia Ostner, Claudia Fichtel, Julia Fischer
Postdoc for neural circuits of learning in monkeys
Hoffman Lab at Vanderbilt U
Neural dynamics of flexible learning in macaques. Multisite high-density laminar recordings and stim during naturalistic viewing and cognition in wireless AR environment. Model-driven tests of neural circuit computations, concept and sequence learning, and offline memory consolidation. Diverse backgrounds are a virtue.
Link: None
Postdoctral Fellow (Drosophila/Neurophysiology/Behavior)
I will start my lab in November 2022 at Riken, Japan.
The lab aims to reveal neural bases of motor control using a powerful genetic model, the fruit fly, Drosophila, by combining electrophysiology, two-photon calcium imaging, behavior, genetics, engineering, and quantitative analysis.
I am currently looking for postdocs interested in motor control, neurophysiology, and/or developing new behavioral paradigms to quest universal computational principles using Drosophila.
The lab is based on the well-funded RIKEN Hakubi Program ( A Dedicated and cutting-edge experimental setup (e.g., 2-p microscope) will be available, and the contract can be extended to 5 years or more.
My lab will co-belong to Riken CBS (Center for Brain Science, You will enjoy active interactions with an excellent neuroscience community.
The campus is just around the corner of downtown Tokyo (-15min by train). Therefore, you will also enjoy the unique, beautiful, and modernized culture.
If you are interested, please feel free to e-mail me for further discussion. I am very happy to meet during the meeting. The official ads will be available on the Riken website soon.

Postdoctoral research scientist
Columbia university
The Behnia Lab, is seeking to hire a Postdoctoral Research Scientist. The goal of the lab is to define the processing steps that transform light signals in photoreceptors into specific feature of a visual scene. We aim to describe both underlying mathematic operations that govern a visual transformations as well as the neural circuits that implement these. We are also interested in understanding how different internal/environmental states or other sensory systems influence visual perception and how multisensory representations are used for higher cognitive functions such as learning and navigation. We take advantage of the abundant genetic tools available in Drosophila, and combine state of the art in vivo electrophysiology, two-photon activity imaging, connectomics analysis, and behavioral studies, augmented by quantitative analysis and modeling, through collaborations with theorists at the Center for Theoretical Neuroscience. We are part of the Zuckerman Mind Brain Behavior Institute at Columbia University in New York city, which brings together researchers from difference scientific disciplines to transform our understanding of the mind and brain, in a highly interactive research environment. We invite to you review our website for more details about our work:

The job ad will be posted on the Zuckerman website ( shortly.

Postdoc in Pachitariu lab
HHMI Janelia Research Campus
The Pachitariu Lab at HHMI Janelia is looking for postdoctoral researchers to lead projects that investigate the neural basis of cognition in rodents. The lab uses large-scale neural recordings combined with modern computational and theoretical approaches. Learn more about our work here (

Stop by poster II-132 if you'd like to learn more about our work!
Postdoc at the intersection between ML and computational neuroscience
RIKEN Center for Brain Science
Are you interested in applying machine learning towards understanding the brain in combination with theory and data analysis? Are you open to moving to Tokyo? If so, this may be the position for you! I'm Louis Kang, and I'm looking for a talented postdoc to join the Neural Circuits and Computations Unit at RIKEN Center for Brain Science. The ideal candidate will use the Unit’s GPU server to model epileptic phenomena in recurrent neural networks trained to perform different tasks. People from underrepresented groups are vigorously encouraged to apply.

Unfortunately I have just arrived in Japan, so I cannot travel to the conference in person. If you are interested in the position, you can do any of the following to find out more:
- Email me at
- Visit our website at
- View the job posting at
- Visit my poster on Friday the 18th (II-083), where you can see my current work and Zoom with me
- Visit my undergraduate student Raymond's poster on Saturday the 19th (III-066)
- Chat with my current postdoc Sebastian at the conference! You can contact him at

Have a great conference and wish I could be there!
Postdoc Position at UMN
University of Minnesota
The laboratories of Cheryl Olman and Audrey Sederberg at the University of Minnesota, Twin Cities, invite applications for a full-time Postdoctoral Associate. We are seeking scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith and Tay Netoff.

See Poster 1-047 on Thursday (Emerson, Sederberg, Olman), or message Audrey at any time during the meeting!
Meta Reality Labs - EMG neural interface Research Scientist
Meta Reality Labs
Meta Reality labs has mutliple open positions for research scientists on our neuromotor research team. We’re building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction. Join us Friday evening 7p to learn more about opportunities in our group and other industry research roles -- or email to find a time to connect direct.
Meta Reality Labs - ML and signal processing for neuromotor interfaces
Meta Reality Labs
Meta Reality labs has mutliple open positions for research scientists on our neuromotor research team. We’re building a practical neural interface drawing on the rich motor neuron signals that can be measured non-invasively with neuron-level resolution. Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, perceptual psychophysics, and human-computer interaction. Join us Friday evening 7p to learn more about opportunities in our group and other industry research roles -- or email to find a time to connect direct.
Postdoc in Utah (5 yrs NIH-funded)
University of Utah
Neurosmiths is looking for a postdoctoral researcher to work on one of two NIH-funded projects on human single neuron and LFP recordings and reinforcement learning.
Link: None
Post-doc: circuits, synapses, vision
University of Sussex
The interaction of an animal’s nervous system with the environment is flexible and adapts to changing conditions. We analyze the neural basis of such plasticity in the context of visually-driven behaviours in zebrafish.  We combine experimental and computational methods, including multiphoton microscopy, behavioural assays, biophysical modelling and information theory.  We aim to quantify the flow of information from the retina, through the brain, to the final behavioural output. The overarching aim will be to understand how neuromodulatory processes that adjust the signals flowing through these circuits adjust behaviours such as the optomotor response (OMR) that adjusts the animal’s position in space, the optokinetic response (OKR) that controls fast eye movements and prey-capture. Similar behaviours are found throughout the animal kingdom and are fundamental in guiding an animals interactions with the visual world.
A number of projects are available but we are particularly interested in the way information is transmitted by synapses and how the flow of visual signals is adjusted in response to information from other senses (especially smell) and/or changes in internal state (arousal/fear).
We are a very active research group ( embedded in a strong research culture in which a number of other groups use imaging and electrophysiology to study neural circuits involved in sensory processing ( We are located in the vibrant city of Brighton and London is 1 hour away.
Questions welcome via methods below and also very happy to meet during meeting. Or come to our poster: Session 1, number 116.
Postdoc in All Optical Systems Neuroscience
Rutgers University
The Oldenburg lab at Rutgers University is seeking postdoctoral researchers with skills in imaging, electrophysiology, computational neuroscience, optics, or related fields to join our lab. The Oldenburg lab uses multiphoton holographic optogenetics to study how neural codes give rise to motor functions especially in the motor cortex and basal ganglia. Competitive salaries. Catch me if interested or dm @ianOldenburg
Postdoc in “Insect AI” at Edinburgh
University of Edinburgh
A postdoctoral research associate position is available to undertake computational modelling studies of learning mechanisms in the insect brain and apply them to robot control and navigation problems, contributing to the project Insect AI under the direction of Professor Barbara Webb, in the School of Informatics at the University of Edinburgh. The position is available immediately, runs to 31 December 2023, and has a salary range of £34,304 - £40,927 per annum.

Candidates are expected to have a PhD in a relevant area and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal
publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred.

Informal enquiries can be directed to: Professor Barbara Webb (

The closing date for applications is 7th April 2022
Postdoc in “InsectNeuroNano” at Edinburgh
University of Edinburgh
A postdoctoral research associate position is available computational and neuromorphic modelling studies of navigation systems in the insect brain, as part of the InsectNeuroNano project and under the joint dire As proof of concept, we target the complete pathway from polarised light sensing in the insect eye to the internal compass and memory circuits in the central complex by which this information is integrated in a continuous accurate estimate of location. Within this project, the main role of the RA will be to take results from both anatomical and physiological studies and condense these into computational models, to abstract key principles of circuit function, as an essential bridge to hardware design.

The position is available immediately and runs to 31 March 2024, but note there will then be a further 24 months funding at Gronigen and ideally the same person will continue in this RA role on the project for its 4 year duration. The salary range is £34,304 - £40,927 per annum.

Candidates are expected to have a PhD in a relevant discipline and a strong background in computational neuroscience, including substantial experience in modelling neural circuits, with a track record of good journal publications in this area. The candidate is also expected to have good programming and system engineering skills, and ideally experience in working with robots, or relevant dynamic tasks involving sensorimotor control and learning. They should be willing to work with hardware systems where necessary. Candidates with direct experience and knowledge of insect neuroscience will be preferred.

Informal enquiries can be directed to: Professor Barbara Webb (

The closing date for applications is 5th April 2022
Postdoc in computational neuroscience (CRM, Barcelona)
We are looking for a postdoctoral fellow in the group of Klaus Wimmer in the Computational Neuroscience group at the Center for Research in Mathematics Barcelona ( and Research interests of the group include decision-making, perception, working memory, neural network models and developing new methods for analysis of behavioral and neural data. The project will be defined in collaboration with the candidate and may include collecting psychophysics/EEG data in the lab, in addition to working with experimental data from external collaborators.

The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our group forms part of a larger interacting network of neuroscience labs in Barcelona (

Funding is available for at least two years and starting date is flexible.

For informal inquires please send an email to and we can arrange a meeting during the conference or workshops.
Postdoc/Research Scientist in Saxe lab
Sainsbury Wellcome Centre, UCL
The role will undertake theory-led experiments, that is, paradigms for which existing candidate theories make divergent distinctive predictions that can be preregistered. A particular focus is on understanding how internal representations change over time in multi-layered neural systems, in order to develop ways of empirically testing the links between modern machine learning methods and learning in the brain and mind.

Experiments will focus on rodent systems neuroscience, and will be undertaken in a host lab at the SWC—either the Mrsic-Flogel, Hofer, Akrami, Duan, and Erlich labs; or the Packer lab at Oxford, depending on the candidate’s background, experience and interests.

We aim to make this role a postdoc or Research Scientist role, at your choice. Official advert soon, message/email Andrew any time for a chat.

Postdoc in Computational Neuroscience at NYU
We are seeking a creative and driven computational neuroscience postdoctoral fellow to work on a collaborative project between the labs of Dora Angelaki ( and Cristina Savin ( at New York University.

The project studies neural representations underlying foraging behavior in monkeys, comparing both freely-moving and head-restrained behaviors, funded by the NIH BRAIN Initiative. The position is initially for one year, with the possibility of renewal.

The successful candidate will have:
- a strong quantitative background
- demonstrable interest in neuroscience
- obtained (or be close to the completion of) a PhD in computational neuroscience, physics, mathematics, computer science, machine learning, statistics
- ability to work in a strongly collaborative and interdisciplinary setting

Preference will be given to candidates with:
- expertise in probabilistic machine learning
- strong programming skills, ideally in python
- previous experience with neural data analysis

To send your application please provide your cv, a brief statement of research interests, and the contact details for reference letters to

For informal queries, please contact Cristina Savin ( or Dora Angelaki( We will available for in person discussions at the Cosyne meeting (CS - main; DA - workshops).
Post Doc at the University of Minnesota: Large scale Network Calcium Imaging
University of Minnesota
The Smith Lab at the University of Minnesota ( is seeking a postdoctoral researcher for a fully funded multi-year position to study the formation and plasticity of large-scale neural networks in the cortex. This research will employ cutting-edge multiphoton imaging and optogenetics together with computational methods to measure and manipulate cortical networks in vivo during development.

Preferred candidates will have a Ph.D. or equivalent in neuroscience, biology, or related field, and experience in one or more of the following areas: multiphoton imaging, optogenetics, calcium imaging, and / or in vivo electrophysiology. Applicants without prior experience in these areas but with a strong interest in applying optical approaches to investigate circuit function are also encouraged to apply.

Please apply to Gordon Smith ( by sending (in PDF format) a brief statement of intent, a curriculum vitae, and contact information for two references
Research Scientist
Machine Medicine
Machine Medicine is building a software and data layer for neurmodulation. Our stack includes computer vision based motor assessment, and now computational programming for deep brain stimulation devices. Unlimited computational resources and fascinating scientific and technical challenges for the right computational neuroscientist/ml specialist.
Postdoctoral research position available at the Institute of Experimental Medicine in Budapest to investigate the neural circuits underlying cognitive functions in health and disease
Institute of Experimental Medicine
Our laboratory ( is looking for highly motivated people who are interested in joining our team at the Institute of Experimental Medicine (aka KOKI) in Budapest, Hungary. We offer a stimulating scientific environment and a multidisciplinary working atmosphere in our team of biologists, medical doctors, computer scientists, physicists and mathematicians.

Our overarching goal is to understand the neural mechanisms of cognitive functions, focusing on learning, attention and decision making. We investigate the contribution of subcortical networks, especially cholinergic neurons (Hangya et al., 2015, Cell; Laszlovszky et al., 2020, Nature Neuroscience), and study data from both mice (Kiraly et al., 2020, Nature Communications; Hegedus et al., 2021, iScience) and human patients to better understand normal cognition as well as the pathomechanisms of neurodegenerative dementias, including Alzheimer’s and Parkinson’s disease.

We are looking for a highly motivated postdoctoral scientist trained in neurophysiology methods, including quantitative data analysis. The successful candidate will collect mouse and human electrophysiology and imaging data and analyze neuronal activity and behavior to better understand how neural circuits control behavioral performance. Applicants should have a proven track record and an independent working style.

The position is available immediately, with an initial contract of 12 months, possible to extend up to 60 months. Salary is up to 800 000 HUF (ca. 2250 Eur) per month gross based on level of experience. The group is funded by the ERC Starting Grant ‘CholAminCo’ as well as national funding sources.


-          PhD in a relevant field, e.g. neuroscience, physics, mathematics, biology

-          High motivation for explorative research

-          Experience in neurophysiology (electrophysiology or imaging) and data analysis

-          Proven track record with high quality publications
Postdoc Ott Lab Berlin, decision-making
BCCN Berlin, Humboldt University
Our new lab at the BCCN Berlin is hiring a postdoc to work on decision-making in rats. A focus is dopamine and serotonin of cortical dynamics. For more info an job visit the lab's website and reach out to me. For related research check out posters 1-86, 2-134, 3-135.
Hiring At All Levels- Deutsch Lab
Haifa University
The Deutsch Lab is hiring at all levels! My lab just opened at the Neurobiology Department, University of Haifa, Israel. We will study the neural basis of social communication, using Drosophila melanogaster as a model system. We will use two-photon imaging, fine behavioral quantification and modeling - see more details in our website-
Please feel free to reach out if you have any questions ( Thank you!
2 Postdocs on context-dependent and multisensory computations
A major focus of the lab is discovering how sensory information is processed and integrated to drive social behavior. In this project, we look at how context modulates signal choice and how different sensory modalities are integrated during social interactions. We combine high-throughput behavioral assays,
machine learning (pose tracking), computational modelling, and modern systems neuroscience tools (calcium imaging and optogenetics).
Post doc
University of Texas at Austin
The Goris lab at UT Austin is seeking a postdoctoral fellow to study the neural mechanisms underlying perceptual inference in the primate brain. We employ behavioral experiments, computational theory, and monkey electrophysiology. We are very interested the role of sensory uncertainty in hierarchical inference and decision confidence. Ongoing experiments study neural activity in the visual cortex and prefrontal cortex.
Link: None
Various positions with Bernstein Network member labs
various labs
Find positions all across Germany with Bernstein Network members in our job pool!

Career levels include PhD, Postdoc and PI positions!
University of Pittsburgh
The neural dynamics and computation group of Dr. Chengcheng Huang at the University of Pittsburgh has a postdoctoral position available. The Huang group investigates the nervous system using computational modeling and mathematical analysis of neural networks. We develop theoretical approaches to understanding circuit dynamics and information processing in sensory systems. We are interested in how different task and stimulus contexts change neuronal responses and the implications on neural coding, with an emphasis on neural variability. Potential projects include 1) the functional roles of interneuron subtypes in sensory and associative cortex, 2) attentional modulation on information flow and 3) interareal communication with feedforward and feedback connections. The candidate will have the opportunity to work with our experimental collaborators at the University of Pittsburgh.

Candidates should have a Ph.D. in a related field, such as computational neuroscience, mathematics, physics or engineering. The University of Pittsburgh is an affirmative action/equal opportunity employer and encourages applications from under-represented groups.

If interested, please email a CV and a brief research statement to me at Feel free to ask me if you have any question.
Link: None
Post doc
University of Agder
We have an open position for a post doc in our brand new lab in southern Norway! Our work will focus on olfactory cortex and hippocampus, exciting aspects of continual learning and generation of novel invariant representations, and more. We are looking for someone with expertise in statistical/machine learning techniques and who are interested in analysing high density electrophysiology data. Come and see our poster, or contact us for a chat if you want to know more.
Link: None
Postdoc and PhD position, Mechanisms and evolution of visual processing strategies
University of Mainz
Freshly funded by an ERC consolidator grant, we have several openings for PhDs and postdocs in the Silies lab at University of Mainz, Germany.

The processing of visual information allows humans, animals, and computer-vision based machines to navigate the world. All visual systems face common challenges when the world rapidly changes. Such changes are often generated by an animal’s own movement. Self-motion for example causes fast changes in illumination and generates global motion patterns on the eye, due to the movement of the world relative to the observer. Diverse visual systems face these common challenges but must also deal with important differences. First, animals experience different environments. Second, animals show different types of behavior, such as walking or flying, and behavior will alter the visual cues that the animal encounters. We first aim to study common principles of visual system function, and to then work out how diverse visual systems adapt to specific environmental and behavioral constraints.
To achieve this, we will study the molecular and circuit mechanisms of visual computation in D.melanogaster. This model system allows to identify molecular, biophysical, and circuit mechanisms of visual system function and link these back to behavior. Second, a comparative approach using non-model organisms will answer how diverse (insect) visual systems adapt to the individual constraints brought about by the environments and by the animal’s own behavior.
Method-wise, the Silies lab is combining behavioral assays and in vivo calcium imaging with neurogenetic tools and computational approaches.

Contact me to find out more, and also check out Madhura's talk on Saturday morning in Session 6.
Postdoc in structure learning in rodents
Joint postdoc between Behrens and Mrsic Flogel Labs. UCL. Abstraction. Task representations. Structure learning. All the good stuff.
Postdoc in computational neuroscience
the University of Texas Southwestern Medical Center
The Computational Neuroscience lab directed by Dr. Wenhao Zhang at the University of Texas Southwestern Medical Center ( is currently seeking up to two postdoctoral fellows to study cutting edge problems in computational neuroscience.

Research topics include:
1). The neural circuit implementation of normative computations, e.g., Bayesian (causal) inference,
and invariant/equivariant representations.
2). Dynamical analysis of recurrent neural circuit models.
3). Modern deep learning methods to solve neuroscience problems.

Successful candidates are expected to play an active and independent role in one of our research topics. All projects are strongly encouraged to collaborate with experimental neuroscientists both in UT Southwestern as well as abroad. The initial appointment is for one year with the expectation of extension given satisfactory performance. UT Southwestern provides competitive salary and benefits packages.

Candidates with a Ph.D. in (computational) neuroscience or quantitative fields like computer science, biomedical engineering, physics, statistics, mathematics, etc. are strongly encouraged to apply. The UT Southwestern is an affirmative action/equal opportunity employer and encourages applications from under-represented groups. Interested candidates should send an email to me with your CV and a statement of research interests, and the names and contact information for three references. The competition will remain open until the positions are filled.
Postdoc at Flatiron Institute - Chklovskii group
Simons Foundation
Positions are available for exceptional candidates with Math, Physics or EE background. Experience in neuroscience is helpful but not required. Background in dynamical systems and data-driven control is a plus.
Postdoc in Computational Neuroscience
York University, MIT
Kohitij Kar (currently at MIT; incoming Assistant Professor at York University (Toronto, Canada), is seeking a postdoctoral fellow for collaborative projects in computational neuroscience. The candidate is expected to be co-supervised by Rick Wildes (Associate Professor, EECS, York University, York Research Chair) and extensively collaborate with Jim DiCarlo (Professor of Neuroscience, Brain and Cognitive Sciences, MIT; Director, MIT Quest for Intelligence) and Simon Kornblith (Research Scientist, Google Brain, Toronto).The primary goal of the research project(s) is to develop neurally mechanistic computational models of primate dynamic scene understanding. The expected (flexible) starting date is between July 1 – Dec 31, 2022.

Large-scale neural recordings (published and unpublished) performed by Dr. Kar (~3,000 total neural recording sites in visual areas V4, IT, and ventrolateral PFC) while non-human primates performed various visual tasks will be used as the neural basis to develop and test the computational models. Furthermore, human and macaque behavioral data collection pipelines will be available as needed.

We are looking for a candidate with a strong background in computational neuroscience. Strong experience with programming languages like Python, PyTorch, MATLAB and JavaScript is highly relevant to the projects.

The candidate is expected to apply successively for a VISTA Postdoctoral Fellowship at York University with our support.

The successful candidate will be primarily based in Dr. Kar’s lab at York (Toronto). S/he will collaborate locally with the lab of Dr. Wildes. There will also be additional opportunities to travel to work in (and remotely participate in) Dr. Jim DiCarlo’s laboratory at the Massachusetts Institute of Technology. We also have strong collaborations with Dr. Gabriel Kreiman’s lab at Harvard Medical School.

For further information, send your CV, and feel free to get in touch with Dr. Kohitij Kar (
PhD and Postdoc positions as part of ERC funded project on understanding human sequential behavior
Center for Cognitive Science, TU Darmstadt
The project ACTOR - towards a computational account of natural sequential behavior has open position at the PhD and Postdoc level. If you are interested in measuring and inferring humans‘ beliefs and subjective costs in natural behavior, just contact us at the main conference or the workshops.
Visit us at poster III - 21.
Postdoc position in systems neuroscience, Musall lab
Research Center Juelich
Our lab at the Research Center Juelich / RWTH Aachen has an open postdoc position, working on multisensory perception, decision-making, and neuromodulation in rodents. 

A major focus of the lab is the functional role of projection-specific cortical subnetworks and how they support sensory perception and behavior. We are also interested in cholinergic neuromodulation of cortical circuits.

To address these questions, we use a wide array of experimental tools, such as 2-photon and widefield imaging, high-density electrophysiology, and optogenetic stimulation in task-performing mice. The ideal applicant should therefore have a strong background in experimental or computational systems neuroscience and experience in the analysis of large neural data sets with Python or Matlab.

If you are interested in doing a postdoc in a friendly and interactive environment in Germany, take a look at our lab's website and reach out to me directly. Also, come by my workshop talk on Monday to get a better idea of our work.
Postdoc Position
Emory University
Drs. Sam Sober and Chethan Pandarinath are searching for a postdoctoral fellow to work jointly in our labs investigating the dynamics of skilled motor control in rodents. We have multiple projects available that combine advanced technology for recording motor activity during skilled behavior with cutting-edge AI/machine learning tools for revealing the computations underlying motor skills, as illustrated in the attached schematic.

We are seeking candidates with experience in
1. Analyzing ephys data in python and/or matlab
2. Deep learning/ML methods *or* neural/EMG recording *or* recording quantitative behavioral data

Please reach out (email to find out more!

(Posted on behalf of my advisor.)
Link: None
Epitel: ML Engineer - remote EEG monitoring for seizure detection
About Epitel: Epitel is a venture-backed company empowering clinicians, patients, and caregivers who live with or care for neurological disorders. Epitel employs proprietary EEG wearables and powerful AI to create a new platform for brain diagnostics. Our system cuts the time to diagnose brain disorders from hours to minutes and solves critical care access issues. We’re building toward a continuous neurology care platform that will create novel biomarkers for neurological disorders. If you’re interested in a high-impact role at a neurology pioneer, this is it!

Role mission: This is an exciting opportunity to join Epitel's expanding engineering team. In this capacity, you’ll heavily contribute to Epitel's product vision of creating an end-to-end EEG platform to revolutionize neurology. Your primary aim will be focused on adapting our EEG system for home use and making great strides in seizure detection.
Funded PhD and Postdoc Positions in Systems Neuroscience, Finkelstein lab
Tel Aviv University
We are looking for highly motivated and curious Postdocs and Graduate students from diverse backgrounds to join our lab in Tel Aviv University, Israel.

We study how cognitive abilities emerge from interactions between neurons. Our lab is especially interested in understanding how the collective activity of neurons in brain networks gives rise to cognitive phenomena, such as the ability to make decisions and form new memories. We study these questions in mice engaged in cognitively complex behaviors involving decision-making, navigation, and the use of short-term memory.

We employ innovative electrophysiological, imaging, and optogenetic techniques that enable turning ON and OFF specific neurons, in combination with advanced computational methods for modeling and analysis of neural dynamics. This allows us not only to ‘read’ the mind by recording neural activity during behavior, but also to manipulate cognitive processes by ‘writing’ information directly into the brain to influence decisions and create artificial memories.

We also have several data analysis projects available, focused on large neural recordings datasets. These projects are focused on studying neural dynamics of large population of neurons (~ 1 million neurons) recorded during behavior.

If you are interested in working on these topics in a multidisciplinary and friendly environment, please reach out to me directly at the Meeting/Workshops or contact me by email:
Postdocroral Researcher
The University of Pittsburgh
How do primates learn which visual information is relevant for guiding behavior in novel settings? The Herman Lab at the University of Pittsburgh is seeking a postdoctoral researcher to study the role of subcortical circuits and reinforcement learning in the control of visual attention in rhesus macaques. We plan to combine neurophysiology and computational modeling approaches, and seek applicants with expertise in either or both of these techniques.
PostDoc/PhD; infodemics/pandemics interaction; Priesemann Group
For the independent Max Planck Research Group of Dr. Viola Priesemann we seek to fill Postdoctoral Position (m/f/d) on complex interactions of infectious disease and social dynamics

The research
We are looking for PostDoctoral researchers to join our team to investigate the spread of COVID-19 in interaction with the so called ‘infodemic’. We aim to get a deeper understanding of the coupled dynamics of infectious disease spread with information, awareness, opinions, and behavior. These results may also play a role in informing health policies. We are a highly active team of physicists working in close collaboration with epidemiologists, social scientists and others. Our open positions are embedded within a growing research initiative together with the groups of Calero Valdez (University of Lübeck), Kretzschmar (University Medical Center Utrecht), Mäs (Karlsruhe Institute for Technology), and Nagel (Technical University Berlin). Please check our github page and our prior work [Contreras et al., Nature Communications (2021), Dehning et al., Science (2020), Doenges et al., Frontiers in Physics (2022),Keijzer and Mäs, Online Social Networks and Media (2021)].

Your profile
We are looking for excellent, enthusiastic and self-motivated researchers with strong analytical and/or programming skills to join our research team. You should hold a PhD with experience in quantitative sciences, e.g. physics, statistics, social science, mathematics, machine learning, or related fields. The position requires a solid background or a strong interest in dynamical systems and/or statistical data analysis, especially Bayesian inference. Fluency in both written and spoken English is required; German is an asset but not required. Given outstanding qualification, the position offers the opportunity to develop an independent research profile and shape future research directions.
Senior Computational Neuroscientist
Inscopix is looking for a senior computational neuroscientist / data scientist to drive the development and application of computational methods for preclinical research projects related to neurodegenerative and neuropsychiatric illnesses. This is an opportunity to do computational neuroscience in an environment that prioritizes supporting you with the right tools, infrastructure, and support for doing science that matters at scale.

As a senior data scientist, you will work alongside:

experimentalists to design studies focused on using Inscopix technology to discover and validate novel neuro-therapeutics.

fellow computational neuroscientists to design and develop methods for analyzing and interpreting our large in vivo datasets.

data engineers to optimize and harden your algorithms into robust, performant data products that can be executed at scale. 

software engineers who will bring your analysis methods to life in intuitive user interfaces and scalable backend compute architectures.
Postdoc at Boston University
Gavornik Lab @ BU
Use electrophysiology/2-photon/computation to study how plasticity encodes temporal information into cortical networks and uses this to make predictions
Postdoc Lak Lab Oxford, learning circuits in mice
Cortical and subcortical neural circuits for learning to make decisions from naive to expert. 2p imaging, multi-shank Neuropixels probes, extensive computional interactions with Bogacz and Saxe labs depending on your interest and background.
Postdoc at Princeton University (Leifer Lab) focusing on circuits and behavior
Princeton University
We are seeking an extremely motivated postdoctoral researcher with a background in neural systems or circuits investigations. The postdoctoral researcher will leverage the lab’s optical neurophysiology toolkit to investigate neural circuit function underlying behavior in the nematode C. elegans. Experimental approaches will include brain-wide population calcium imaging of brain activity, optogenetic manipulation of specific neurons and circuits, large-scale measurements of functional connectivity, behavioral experiments, genetic studies and measures of gene expression. Possible application domains may include sensorimotor processing, chemosensory guided navigation, mating behavior or learning.

A PhD in neuroscience, molecular biology, biophysics or a related field is required. Successful applicants will have demonstrated a strong record of research accomplishment and creativity. Appointments are for one year, renewable annually based on satisfactory performance and availability of funding.

Ideal attributes are:

Experience with systems and circuit-level investigations involving, neural dynamics, genes and behavior
Talented troubleshooter of difficult measurements and experiments
Self-motivated to follow relevant literature and advances in the field
Strong quantitative skills, including familiarity applying mathematical and statistical concepts
Prior experience with scientific programming in Python, MATLAB or similar.
Comfortable learning new topics in data analysis, neuroscience or genetics independently via the literature
Ability to mentor others
Able to work well in a team, but also able to work independently
Clear written and oral communicator

Postoc at Princeton University (Leifer lab) precision measurements of the brain
Princeton University
A postdoctoral research associate or more senior researcher is sought for a neural imaging and optogenetics project in moving animals. A PhD in a related field is required as well as a background in experimental physics, optics, computer science, electrical engineering or neuroscience with expertise building and using custom scientific instruments for precision measurements. In particular, someone is sought who is comfortable working with custom optics, ultrafast lasers, electronics and custom software. Candidates should be self-motivated by a desire to understand open questions in neuroscience.

Ideal attributes are:

Talented experimentalist with a history of performing difficult measurements
Motivated by an interest in neuroscience
Talented troubleshooter of hardware and software
Experience with non-linear optics, lasers and fundamentals of microscope design
Fluency in at least one programming language, and prior exposure to Python and LabView.
Able and willing to dive into large code-bases
Experience with digital signal processing and image processing
Comfortable with mathematical concepts and manipulations
Comfortable learning new topics independently via the literature in the areas of computer vision, machine learning, optics or electronics
Ability to mentor others
Able to work well in a team, but also able to work independently
Clear written and oral communicator

Postdoc positions at NYU
New York University
We have two openings for postdoctoral fellows at the lab of Dora Angelaki, New York University ( as part of a BRAIN Initiative U19 project focused on the neural mechanisms of causal inference. This multi-institution project involves experimental and computational/theoretical laboratories at the University of Rochester (Drs. Greg DeAngelis and Ralf Haefner), Harvard Medical School (Dr. Jan Drugowitsch), New York University (Dr. Dora Angelaki), Baylor College of Medicine / Rice University (Dr. Xaq Pitkow), and the University of Washington (Dr. Greg Horwitz). The project is highly collaborative and interactive, involving high-density electrophysiological recordings in both macaque monkeys and mice, optogenetic manipulations, development of novel dynamical theoretical frameworks, application of high-dimensional neural analyses, and establishment of a data analysis and storage platform across laboratories. Successful candidates will collaborate broadly with team members across institutions. The position is initially for 3 years, with the possibility of renewal.

The successful candidate will have:
• a strong quantitative background
• demonstrable interest in neuroscience or experimental psychology
• obtained (or be close to the completion of) a PhD in neuroscience or related field
• ability to work in a strongly collaborative and interdisciplinary setting

Preference will be given to candidates with:
• expertise in mouse or primate neurophysiology
• strong programming skills
• previous experience with neural data analysis

To send your application please provide your cv, a brief statement of research interests, and the contact details for reference letters to Dora Angelaki (
Link: None
Postdoc position examining circuit dynamics related to (non)human communication
NYU School of Medicine
Looking for postdocs to work on projects examining the neural basis for social communication. We use a range of techniques (e.g., imaging, electrophysiology, etc.) and model systems, including budgerigars, zebra finches, and singing mice. Additionally, we have a thriving research program examining human language use (e.g., Castellucci et al., Nature, 2022). Looking for creative people excited to work in an interactive environment.
Postdoc at University of Montreal
Noise lab
Projects will focus on understanding the biological solution(s) to the stability/plasticity dilemma.
Our approach combines (1) large-scale neural recordings/causal manipulations in non-human primates, (2) human psychophysics, and (3) computational models of neural data and behavior. We welcome candidates who are interested in any or all of these techniques.
If you’re at #cosyne2022 and interested in flexible decision-making in nonstationary environments, come to Becket’s talk at the Variability workshop. Last talk of the last session!
Postdoc at UMN in Computational Psychiatry
University of Minnesota
The Sederberg and Redish labs are looking to hire a postdoc with skills in statistical modeling of neural population recordings as a part of a multi-lab, NIMH-funded collaboration to study dysfunctional state representations in schizophrenia. Connect with Audrey or David at Cosyne, or email us after the meeting!
Postdoc Position at the Renart lab in Lisbon
Champalimaud Research, Champaliaud Foundation
We are looking for candidates for a postdoc position in our lab, within a project whose goal is to understand the neural basis of simple sensory judgements using modern methods in system's neuroscience together with theory. Some recent publications and methodologies relevant for the project are:

-Pardo-Vazquez, JL. et al. (2019) The mechanistic foundation of Weber’s Law. Nature Neuroscience. 22 1493-1502
-Reato, D. et al. (2021) Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions. bioRxiv.
-Cazettes, F. et al. (2021) Reservoir of decision strategies in the mouse brain. bioRxiv.
-Steinmetz, NA. et al. (2021) Neuropixels 2.0: A miniaturized high-density probe for stable, long-term brain recordings. Science 372 (6539)

Successful applicants are expected to have experience studying controlled behavior in rodents using recordings and perturbations. The project has a strong quantitative component, so experience on computational neuroscience and statistics/machine-learning methods for behavioral and neural data analysis will be highly valued. Our lab promotes a horizontal and collaborative environment.

We are part of the Champalimaud Neuroscience Programme, a vibrant research community focussed on understanding the links between neural activity and behavior.

The position offers a competitive salary and is available immediately for a duration of 3 years (with flexibility).

Interested applicants should send their CV, a brief motivation statement and the names of at least 2 references by email to
Escola and Abbott labs at Columbia
End-to-end modeling of biomechanically realistic virtual monkey arms and virtual rodents living the Mujoco simulator. We are collaborating with multiple experimental labs at Columbia and elsewhere to obtain model constraints. The goal is to understand how the motor system learns to do adaptation and context switching in the setting of noisy delayed sensory feedback. Email for more information!
Postdoc Position at Pitt
Insanally Lab at University of Pittsburgh
Postdoc positions are available for projects investigating the neural basis of perceptual flexibility in rodents. We use several techniques including highly-tractable behavioral paradigms, multi-region silicon probe recordings, in vivo whole-cell recordings, mECoG, fiber photometry, optogenetics, chemogenetics, and computational modeling. The lab is also interested in developing novel neurotechnologies for improving perception. See for more info and feel free to email me directly.
PhD position in machine learning driven analysis of super-resolution microscopy images (E13/65%)
Goethe University & Johannes Gutenberg University Mainz
We offer a PhD position in the data analysis of super-resolution fluorescence microscopy of protein complexes. The project aims to develop machine learning methods to describe the motion statistics of single molecules across space and time which are obtained in the lab of Prof. Heilemann using quantitative single-molecule localization microscopy (qSMLM) in cells with near-molecular spatial resolution.   

Overall, the aim of this PhD project is to develop mathematical and numerical tools to describe the collective motion of membrane receptors across space in living cells and to discover collective motion vectors embedded in the seemingly random motion of individual molecules. We invite applications from candidates with a strong interest in theoretical and/or experimental biophysics with a background in life sciences/physics who want to focus on modelling and machine learning. The ideal candidate should have an interest to work with theoretical data analysis approaches. We seek candidates with a background in physics, biophysics, math or computer science or related disciplines.

For further info please see:
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