Postdoc in computational/theoretical neuroscience
Harvard
Did you ever wonder how the brain might learn and represent stochastic rewards, if it learns whole reward distributions, and how it might use those to drive behavior? Do you have good working knowledge in computational neuroscience? If yes, get in touch with us about a potential postdoc position.
The Drugowitsch lab at Harvard Medical School is looking for a motivated postdoctoral research fellow to work on these questions. Together with the Uchida lab (Harvard), we aim to understand the neural representations and computations underlying distributional reinforcement learning in the brain.
We expect candidates to have a strong analytical background, such as in computational neuroscience, physics, mathematics, engineering, or related, and feature an interest in reward learning, the role of computation in neural populations, and in theoretical neuroscience in general. Experience or familiarity with related machine-learning fields is also desirable.
More information:
Drugowitsch lab: https://drugowitschlab.hms.harvard.edu/
Uchida lab: https://projects.iq.harvard.edu/uchidalab/
Review on distributional reinforcement learning: https://doi.org/10.1016/j.tins.2020.09.004
Postdoc - Systems/Computational Neuroscience
Nieh Lab
The Nieh Lab at the University of Virginia seeks a postdoctoral research associate to carry out research characterizing the neural circuits underlying motivated behaviors, such as drug-seeking, feeding, and social interaction. The individual will work directly with Professor Nieh to set up and acquire data using state-of-the-art cellular-resolution simultaneous imaging and stimulation 2-photon microscopes, design and perform head-fixed drug self-administration and feeding tasks, perform stereotaxic surgeries for viral injections and optics implants, and carryout analyses of imaging and behavioral data.
As Professor Nieh’s first postdoc, you will receive individual guidance and training to achieve your career goals, whether they are in industry or academia. You will not only build your scientific skills, but also your professional skills, including writing papers and grants, giving presentations and talks, leading a team, and people management. You will also have the opportunity to train and mentor junior lab members and establish yourself as a scientific leader in neuroscience.
Learn more about the research and philosophy of the Nieh Lab at: https://www.niehlab.com/
Link:
https://www.niehlab.com/
Postdoc in systems and cognitive neuroscience at Brown University
Desrochers Lab, Brown University
We invite applications for a unique Postdoctoral Research Associate position to study the neural bases of cognitive and behavioral sequences in the laboratory of Dr. Theresa Desrochers in the Department of Neuroscience at Brown University. The position will include the opportunity to study behaving NHPs using fMRI, neurophysiology, and/or computational techniques. The Desrochers Lab (http://neuroscience.brown.edu/desrochers) provides a unique cross-level and cross-species training environment situated within a highly collaborative research environment fostered by Brown University and the Carney Institute for Brain Science (https://www.brown.edu/carney). With the research and brain science communities growing, it is an exciting time to be at Brown University.
Applicants should have a strong background in systems neuroscience, behavioral training, electrophysiology, or fMRI. Strong quantitative skills and previous experience with animals and/or NHPs is preferred. Applicants must hold a Ph.D. in Neuroscience, Psychology, or a related discipline or must show evidence that the Ph.D. will be completed before the start of the position. This funded position is initially for 12 months with the possibility of renewal. Compensation will be commensurate with relevant experience according to the NIH scale (https://grants.nih.gov/grants/guide/notice-files/NOT-OD-22-132.html). Brown University is an EEO/AA employer and encourages applications from minorities and women. Review of applications will begin immediately and will continue until the position is filled or the search is closed. For more information, please contact theresa_desrochers@brown.edu.
This position is fully funded by an NSF CAREER award and a coming NIH R01. Opportunities for training include electrophysiology, fMRI, TMS, OCD, and computational psychiatry.
Dr. Desrochers will be attending the COSYNE workshops (only) and will be available for meetings. Please be in touch if you are interested!
Link:
http://neuroscience.brown.edu/desrochers
Postdoctoral Fellow in NHP Systems/Computational Neuroscience
Western University
The Pruszynski Lab is looking to hire a new postdoc with interest in the behavioral, neural, and computational underpinnings of sequential reaching actions. Candidates must have a PhD in Neuroscience, Physiology, Psychology, Engineering, or a related area, and a strong academic track record as evidenced by peer-reviewed publications. Experience with electrophysiological studies in non-human primates is particularly desired. Experience with behavioral studies in humans especially coupled with EMG recordings is also of interest.
The successful candidate will join an ongoing collaboration with the Diedrichsen Lab, investigating the neural mechanisms of motor planning during ongoing actions. The successful candidate will also become a member of the International Consortium on Motor Control. The lab is located in London, Canada, and is part of the Sensorimotor Superlab at Western University. Systems and cognitive neuroscience is a key area of research strength at Western University, with more than 70 Principal Investigators and 200 trainees. The position is funded by a project grant from the Canadian Institutes of Health Research (CIHR) and the work is further supported by a grant from the Simons Foundation. The position will initially last for 3 years, with possibility for renewal. Annual salary depends on the level of experience, but will be $58,000 at the minimum. Start date is negotiable.
Applications should be submitted electronically as a single PDF file titled Lastname_Firstname.pdf directly to andrew.pruszynski@uwo.ca. The file should include:
1. a CV, including a list of publications,
2. a statement of research interest outlining current experience and plans for future research, 1–2 pages,
3. names and contact information for three academic referees.
Link:
https://www.pruszynskilab.com/
Postdoc, systems & computational neuroscience in naturalistic behaviors
HHMI/janelia
The Voigts lab at Janelia is looking for postdocs interested in working on how flexible cognition is implemented. We'll work on how neocortex builds and uses models of the world to give animals cognitive abilities. We'll specifically go beyond repeated (memorized?) stimulus-response associations, and instead study flexible cognition in mice during complex naturalistic behavior. Our main challenge will be to develop theoretical tools and new conceptual ways to answer the question of how the brain learns and applies structured models of its environment. For this, we will borrow from, and work with, ML researchers to get at the central issue of what it means to compute in neural systems, and what answers we can get by observing brains compute. Our work will require a solid foundation in quantitative methods and some experience with systems neuroscience, though we can teach a lot of things and expect the lab to be very collaborative. Candidates will benefit from the unusual amount of freedom, ability to get extremely challenging experiments done with the amazing technical and logistical support, and strong collaborations with other experimental, theory and computational groups at Janelia.
Link:
https://www.voigtslab.org/
Computational research scientist
Inscopix
Inscopix, a Bruker Nano neurotechnology company, is empowering discoveries in neuroscience to find cures for brain diseases like Alzheimer’s, Parkinson’s, Schizophrenia, Depression and Chronic Pain. Data science is a key part of these discoveries. As a Computational Research Scientist in our computational neuroscience group, you will analyze multi-modal biological datasets from therapeutic projects, working alongside experimentalist and software engineers to deliver important translational insights for pharma and biotech research programs. You will participate in shaping data analytics culture across the company and in developing and prioritizing computational advances that unlock the power of Inscopix imaging data. You will use your knowledge and experience in the field to prioritize investment in and productization of broadly applicable computational methods that will improve efficiency, power, and accessibility of data analytics at scale in both academia and industry. If you enjoy doing preclinical neuroscience research and want to use your computational skills to have a practical and important part in building analysis tools to help others at scale, this could be the right role for you.
Link:
https://boards.greenhouse.io/inscopixinc/jobs/4768475004
Postdoctoral Fellow in Theoretical Neuroscience and/or Theory of Neural Computation
Harvard University
A postdoctoral position is available in Cengiz Pehlevan’s group at Harvard University. We are looking for candidates with strong analytical and numerical skills, and backgrounds in (theoretical) neuroscience, applied mathematics, physics, engineering, computer science, or related fields. Our research areas are in theoretical neuroscience and the theory of neural computation in natural and artificial systems. The successful candidate will have the opportunity to join our ongoing projects and/or pursue new directions. For recent publications, see pehlevan.seas.harvard.edu. For questions, please send an e-mail to cpehlevan@seas.harvard.edu.
Link:
https://academicpositions.harvard.edu/postings/11671
Computer Vision/DNN/Comp Neuro Research Scientist/Engineer
Machine Medicine
Machine Medicine is a scale up (35 people currently) focused on building the software and data layer for bioelectronic medicine (aka neuromodulation). Join an ambitious team of data and research scientists working on tough but hugely impactful problems in computer vision and systems neuroscience. With 6 peer reviewed publications including one in Nature Parkinson’s Disease, over the past 2 years, there is ample opportunity to pursue a meaningful academic career while enjoying a competitive salary in a great city. Duties include: making things work, and solving problems with simplicity, clarity and rigour.
Link:
www.machinemedicine.com
Institute of Neuroscience Fellow
University of Oregon
We are announcing an open search for our new members of the inaugural Institute of Neuroscience Fellows Program, co-sponsored by the University of Oregon and the Knight Campus for Accelerating Scientific Impact. This program is aimed at recruiting exceptional postdoctoral scholars whose interests lie at the interface between Systems and Computational Neuroscience. The ION Fellow will have intellectual freedom to develop their independent research on the neural mechanisms of brain function across the entire range from experiments to theory, leveraging resources and mentorship from multiple labs participating in the Program. Research funds to support the independent project will be available to the Scholar to spend at their discretion.
Link:
https://ion.uoregon.edu/ion-fellows-program
Postdoctoral position in the circuit mechanisms of psychedelic neuromodulation
University of Oregon
A postdoc position is available in the Mazzucato lab at the University of Oregon to investigate circuit models underlying the effects of psychedelic drugs. This project is funded by the National Institute on Drug Abuse and aims at elucidating how psychedelic drugs modulate visual processing and population dynamics in visual cortical areas. Several labs at the University of Oregon are investigating the neural mechanism of psychedelic action and the postdoc candidate will have the opportunity to design their research project under joint supervision of multiple computational and experimental labs. Competitive candidates will have strong quantitative skills, experience in neural data analysis and network modeling, and a Ph.D. in Physics, Neuroscience, Mathematics, Computer Science, Engineering, or a related discipline; and a track record of productive research, including publications. A competitive salary and benefits arrangement will be provided including travel funds.
Link:
https://www.mazzulab.com/serotonin.html
Postdoc in Human BCI, Motor Memory and Motor Control
Wang Lab
The Wang Lab at University of California San Francisco studies human motor control and learning for fine motor skills, memory consolidation during sleep and motor control of gait in patients with movement disorders by using investigational multisite chronic brain implants combined with cutting edge computational methods. We study the neural basis of these phenomena and develop personalized AI-driven closed loop deep brain stimulation to improve treatment of disease symptoms.
We would love to welcome more people to our team!
Two postdoc positions are available:
https://opportunities.ucsf.edu/content/postdoc-opportunity-wang-lab-study-biomarkers-human-motor-learning-and-memory-consolidation
https://opportunities.ucsf.edu/content/postdoc-opportunity-wang-lab-closed-loop-deep-brain-stimulation-gait-parkinsons-patients
Link:
https://doriswanglab.ucsf.edu/
Postdoctoral fellow in systems neuroscience of flexible decision making
Wu lab at Mount Sinai
The Wu lab at Mount Sinai is seeking a motivated postdoctoral fellow to contribute to research on the neurobiology of flexible decision making. Our lab is focused on understanding the brain mechanisms balancing flexibility and adaptability, particularly in the context of lifelong learning when animals must maintain acquired behavior while learning new skills.
We use a multidisciplinary approach that combines systems neuroscience, computational modeling, and cutting-edge single-cell omics technologies in the mouse model. The successful candidate will need a strong background in systems neuroscience and some experience with modeling. We are particularly interested in candidates with experience in calcium imaging and quantitative analysis of large-scale neural data.
As a member of our team, the postdoctoral fellow will benefit from close collaboration with theorists and tool developers and will engage with the vibrant neuroscience community in New York City. We fully understand the living cost of the city and will provide a competitive salary with housing, health, and other benefits.
Link:
https://www.wulab.bio/
Postdoc in computational neuroscience/ML for visual navigation
Bionic Vision Lab at UC Santa Barbara
How does cortical circuitry perform the visual scene analysis needed to support navigation through the environment?
Come join an NIH Brain Initiative-funded team of experimental and computational neuroscientists to study how the mouse brain extracts relevant visual features from the rich, dynamic visual input that typifies active exploration, and to investigate how the neural representations of these features can support visual navigation.
Under the guidance of Michael Beyeler, and in consultation with Bing Brunton (University of Washington), the role of the candidate is to perform data-driven statistical analyses and develop (deep) predictive models of brain activity based on visual input and several behavioral variables.
The data includes one-of-a-kind measures of neural activity in mice navigating through real-world and virtual environments, collected using 2-photon imaging and electrophysiology by our collaborators Spencer Smith (UCSB), Michael Goard (UCSB), and Cris Niell (University of Oregon). This is an opportunity to work on an impactful real-world problem within a highly interdisciplinary and collaborative environment.
If you’re interested, come find me at Cosyne or contact me at mbeyeler@ucsb.edu.
Link:
https://bionicvisionlab.org/research/mouse-visual-navigation/
Postdoc in theoretical neuroscience
Bocconi University
A postdoctoral positions in theoretical neurosciences is available at Bocconi University (Milan, Italy). Research topics include (but are not limited to): how movement modulates neural responses to visual stimuli; integrating connectomes in mechanistic models of brain functions; building normative models of neural representations. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological and connectomic data. Prior experience with computational neuroscience is a plus, but it is not required.
The positions will be part of the vibrant community at Bocconi University, which includes researchers working in neuroscience, machine learning, computer science and statistics. For questions, fell free to stop me at the conference or send me a message.
Postdoc in NeuroAI
University of Bristol
The Neural & Machine Learning group is looking to recruit two postdocs and/or PhD students funded over a period of 5 years by a 1.5M ERC Starting Grant. You will be working at the intersection between compneuro and ML, contributing to a new generation of models that will transform our understanding of learning in the brain.
All our work circles around AI-driven brain-wide credit assignment. Specific lines of work are:
1. Theories of credit assignment in cortical circuits
1.1 AI-driven cortex-wide hierarchical credit assignment (Greedy, Heng et al. NeurIPS 2022; Cosyne 2023)
1.2 Self-supervised learning in cortical networks (Nejad et al. Cosyne 2023)
1.3 Transformer-like computations in neocortical circuits
2. Neuromodulation of cortex-wide credit assignment
2.1 Theory of cognitive robustness through adaptive neuromodulatory control (Filipovica, Nejad et al Cosyne 2023)
2.2 Adaptive learning via control of local circuits (Chevy et al Cosyne 2023)
2.3 Dopaminergic-cholinergic modulation of cortical networks
2.4 AI-driven theory of cognitive decline in dementia, aging and injury
3. Subcortical facilitation of learning in the cortex
3.1 Unlocking credit assignment through cortico-cerebellar networks (Boven, Pemberton et al. Nature Comms 2023; Pemberton et al. bioRxiv; Pemberton et al. Cosyne 2023)
3.2 Learning to predict and plan in hippocampal-cortical networks (Mohinta, Pedamonti et al. Cosyne 2022)
Potential collaborators are:
Randy Bruno, Yarin Gal, Masud Husain [University of Oxford, UK]
Jack Mellor, Paul Anastasiades, Liz Coulthard, P Chadderton, M Jones, R Apps [University of Bristol, UK]
Adam Kepecs [Washington University, US]
Adil Khan [Kings College London]
Jasper Poort [Cambridge University]
Caglar Gulcehre [Google Deepmind, UK]
Yoshua Bengio [MILA, Canada]
You can find more about us on our website (neuralml.github.io)
Link:
https://neuralml.github.io
PostDoc in the Neural Syntax 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.
Link:
https://www.weizmann.ac.il/brain-sciences/labs/cohen/home
Postdoc in ML for neural data analysis
Glaser Lab
Multiple postdoctoral positions are available in the Glaser Lab at Northwestern University in Chicago. Broadly, our group aims to develop more interpretable machine learning tools for understanding neural activity data. Existing projects in the lab include the development of interpretable machine learning methods for dimensionality reduction, neural decoding, and multi-region interactions, in addition to close collaborative work with experimentalists to study neural control of movement. Along with working on existing projects, applicants are welcome to propose novel projects involving the development and use of machine learning tools for neuroscience.
If you're interested or have questions, please send me an email. I'm happy to find a time to chat while at Cosyne.
Link:
https://glaserlab.github.io/
Postdoc in Neural Network Development
Smith Lab - UMN
The Smith Lab at the University of Minnesota is seeking a postdoc to investigate the mechanisms of cortical network formation in the developing brain. Our lab uses multiphoton imaging, optogenetics, and computational analysis to understand how large-scale cortical networks organize and process information during early development.
Preferred candidates will have a background in systems neuroscience, with experience in 2-photon imaging, optogenetics, in vivo electrophysiology, or computational analysis of large-scale datasets. Our lab collaborates closely with theoretical and computational labs both at UMN and abroad, providing excellent training and opportunities for collaboration. Postdocs in the Smith Lab benefit from the close interaction within a 6-lab optical imaging group at UMN, featuring cutting-edge optical and protein sensor tool development.
If you’re interested or have questions, find me at Cosyne, or email Gordon Smith at gbsmith@umn.edu.
Link:
https://www.smithneurolab.org/
Postdoc in human neurophysiology and computational neuroscience
Mayo Clinic
The Brain Adaptation and Stimulation lab is looking for a postdoctoral fellow to lead multidisciplinary research projects. Goals of the lab include assessing and modulating neural excitability by using stimulation and better understanding response timescales. Current research areas center around human neurophysiology and epilepsy pathophysiology and include invasive EEG, human single unit recordings, invasive and noninvasive brain stimulation, and computational modeling. Other possible projects include rodent electrophysiology.
Please contact me if interested!
Link:
https://www.mayo.edu/research/labs/brain-adaptation-stimulation/overview
Computational Neuroscientist for Analyzing and Modeling Large Scale Recordings and Manipulations in Flexible Decision Making in Mice and Human
Cleveland Clinic Lerner Research Institute
We are looking for a postdoctoral scholar who will analyze and model in vivid large scale imaging and optogenetics datasets with behaving animal models in health and disease . We are developing table top and implanted one-, two-, and three-photon microscopes for performing all optical interrogation with these behaving mice. With developing these computational tools, we would like to understand how neural circuits generate patterned activity that gives rise to complex behaviors and phenotypes in health and disease states. We have collaborators in our institute who are world experts of generating preclinical models of neurodevelopmental and neurodegenerative diseases and also world experts of identifying FDA-approved drugs for their repurposing in these model systems. We have a collaboration with IBM for generating a next generation AI models for our behavioral and physiological datasets. We also started clinical collaboration for translating our techniques to the clinic for both behavioral and physiological discoveries with human patients. Cleveland is a great area and Cleveland Clinic is a fabulous institute with superior benefits for someone who is looking for a postdoctoral position with a great work and life balance. Also, I have a very detailed lab policy and happy to chat with you about it. I believe that sustainable and long-term mentorship is crucial in your career.
Link:
Yildirimlab.org
Postdocs in Cognitive Neurobiology
University of Montreal
The Noise lab (PI: Becket Ebitz) is looking for postdoctoral research associates for various funded projects looking at exploratory behavior and learning in humans and rhesus macaques. The lab is in the Department of Neuroscience in the Faculty of Medicine at the University of Montreal. The lab is highly collaborative and successful candidates will have the opportunity network with a variety of experimental and computational labs both within and beyond the department.
We know that a diversity of perspectives improves and invigorates our work and we encourage applications from people from all backgrounds and with all identities.
Link:
https://jobrxiv.org/job/universite-de-montreal-27778-postdocs-in-cognitive-neurobiology/
Postdoc: neural basis of causal inference, attention
University of Rochester
A postdoctoral position is available in the computational neuroscience group of Ralf Haefner. The position is funded for up to 5 years by a recent NSF/CAREER award. Potential research topics include hierarchical causal inference, and the neural implementation of approximate inference computations and attention.
Our group is highly collaborative, and we have joint projects with multiple theoretical and experimental groups to test predictions of our models.
The BCS department at Rochester is very supportive with a long tradition of probabilistic modeling. The city of Rochester is located on the shore of Lake Ontario in upstate New York and has a high quality of life: https://en.m.wikipedia.org/wiki/Rochester,_New_York
Link:
https://www2.bcs.rochester.edu/sites/haefnerlab/index.html
The neural basis of territoriality
Technion
Our lab researches the brain’s code for space in the hippocampus. We have now won an ERC Synergy grant, and thus have funds for hiring excellent postdoctoral fellows, Ph.D. and M.Sc. students, for a project aimed at deciphering the brain’s code for territoriality. Our lab performs recordings of hundreds of nerve cells from awake behaving mice using calcium imaging and neuropixels probes. We aim to record from the hippocampus and associated structures, in order to combine our understanding or the brain’s code for space with the brain’s social code, in combination with research of the neuromodulator oxytocin and its effect on this system. In order to achieve this, we will use cutting-edge analysis techniques for large scale neural data and complex behavior. We furthermore pursue additional projects such as understanding the brain's SLAM function, coordinate transformations and representational drift.
We are recruiting excellent postdocs and graduate students, with diverse backgrounds. The lab is interdisciplinary, and thus excellent students from Neuroscience, Physics, Engineering, Biology, Computer Science and Psychology are welcome to apply. Please send your CV, course transcripts, and thesis (if relevant)
Postdoc/grad student in Cowley group at CSHL --- deep learning, closed-loop methods, explainable ML
Cowley Lab, Cold Spring Harbor Laboratory
Looking for postdocs and grad students to answer questions about the brain using closed-loop methods (active learning, adaptive stimulus selection) and explainable ML (model compression, knockout training). Come help build the next generation of data-driven models!
more info: http://cowleygroup.cshl.edu/
Ben is at the main meeting---happy to chat (or zoom later).
Link:
http://cowleygroup.cshl.edu/
Post-doc positions
McGill & Mila
We have several open positions at the intersection of machine learning and big neuroscience data (omics, MRI, genetics, retina scans…)
Link:
http://bzdok.lab.mcgill.ca
computational postdocs and grad students
Technion Medical School
Openings for computational students and postdocs at the Benisty lab for dynamic networks. If you're interested in understanding the dynamics of high dimensional signals in the brain and how they relate to behavior and evolve through learning, please reach out or come over for a chat on Friday's poster session!
Link:
hadasbenisty.com
Postdoc at NIH (Nienborg lab)
National Eye Institute, NIH
We have an opening for a postdoctoral fellow in computational neuroscience and/or experimental neurophysiology. Projects in active vision, context-dependent, hierarchical decision making in mammals. 5-year position.
Please get in touch!
Link:
https://www.nei.nih.gov/research/research-labs-and-branches/we-are-nei-intramural/hendrikje-nienborg
Postdoc to study birdsong in the Gardner lab
Knight Campus, University of Oregon
Study neural correlates of complex canary song through neuropixel recordings. Examine interactions between basal ganglia and motor thalamus loops in the control of song syntax. This position in the Gardner lab will also work closely with Luca Mazzucato and James Murray.
Link:
None
Technician to study birdsong in the Gardner lab. Surgery/ histology.
Knight Campus, University of Oregon
Study neural correlates of complex canary song through neuropixel recordings. Examine interactions between basal ganglia and motor thalamus loops in the control of song syntax. Prior experience with small animal surgery expected.
Link:
None
Postdoc opportunities: Center for Theoretical & Computational Neuroscience
Washington University in St. Louis
https://ctcn.wustl.edu/postdoc-fellows?
Link:
https://ctcn.wustl.edu/postdoc-fellows?
Postdoc positions at NIH - spatial navigation and memory
NIH
Postdoc positions are available in Gu lab at the National Institute of Neurological Disorders and Stroke. The lab primarily uses in vivo two-photon imaging and virtual reality techniques to study the neural basis of spatial navigation and memory. We invite highly motivated scientists to join us in our exciting journey! Please check out our lab website (https://research.ninds.nih.gov/gu-lab) and get in touch!
A full description of the position is available here: https://www.training.nih.gov/postdoc_jobs_nih/view/_31/10505/TPINMSNM_392023
Link:
https://research.ninds.nih.gov/gu-lab
https://www.training.nih.gov/postdoc_jobs_nih/view/_31/10505/TPINMSNM_392023
Connexins Symposium at NYU (for senior PhD students interested in doing a postdoc)
New York University
Call for applications: CoNNExINS at New York University
CoNNExINS (Colloquium at NYU for Networking: Extramural for Invited Neuroscience Students) is a new symposium giving advanced graduate students the opportunity to give formal seminars to the NYU Neuroscience Community. The experience will be a valuable opportunity to share their research and receive feedback from NYU faculty, postdocs, and students while connecting with potential laboratories for a postdoctoral position. Our goal through this series is to increase diversity in our postdoctoral trainee group through the active recruitment of those who belong to underrepresented minority groups. Looking forward, we believe new postdocs will benefit from our unique training environment that provides a collaborative research environment, a diverse and collegial community, and a commitment to long-term career development and mentorship.
We strongly encourage applications from candidates from diverse and underrepresented backgrounds to apply. Underrepresented groups include Black/African American, Hispanic/Latinx, American Indian, Native Hawaiian/Pacific Islander, and Alaska Native. First-generation college students, LGBTQIA+ students, students with a documented disability, and students from economically disadvantaged backgrounds are also encouraged to apply.
NYU will pay speakers an honorarium and cover all travel expenses.
Website for more information: https://wp.nyu.edu/connexins/
CoNNExINS 2022 Symposium Dates: June 8-9, 2023
Application link: https://nyumc.qualtrics.com/jfe/form/SV_8dZAOGZH9Sefiaq
Application deadline: April 1, 2023
(We request a title and <250 word abstract, career plan statement also <250 words, and a 2-page cv.)
Link:
https://wp.nyu.edu/connexins/
Postdoc at Dartmouth - fMRI + VR
Dartmouth
The Robertson Lab at Dartmouth has an opening for a postdoctoral scientist to lead studies of the human brain and behavior. This full-time position lasts for two years with possible renewal. Our lab studies how people see, remember, and neurodiverge. To study these topics, we embrace a wide range of experimental and computational techniques. We seek to characterize complex human behaviors in naturalistic settings (using wearable Virtual Reality and eye-tracking) and, ultimately, to link these behaviors to neurobiological theories of the brain (using neuroimaging: fMRI, MRS, EEG). As a lab, we are a passionate group of scientists who work together to build knowledge about the human brain and behavior. We embrace diversity as an essential ingredient of our vibrant intellectual environment.
Our lab is one of 19 labs studying topics that range from systems neuroscience to cognitive neuroscience to social psychology in the Dartmouth Department of Psychological and Brain Sciences. We are affiliated with the Dartmouth Center for Cognitive Neuroscience, the Dartmouth Brain Imaging Center, the Dartmouth Autism Research Initiative, the Neukom Institute for Computational Science and have strong collaborations throughout the Boston area and beyond.
REQUIREMENTS: We encourage applications from creative, self-motivated scientists who are eager to develop an independent research program in a premier neuroimaging department. Candidates should have or expect to receive a PhD in a related field (e.g. neuroscience, psychology, engineering, physics) and a strong backbone in cognitive, clinical, and/or computational neuroscience. Desired strengths include strong prior experience in:
Neuroimaging (fMRI, MRS, EEG)
Programming (MATLAB or Python)
Computational approaches to data analysis
Virtual reality (C#, Unity)
HOW TO APPLY: Please email Dr. Caroline Robertson (cerw at dartmouth dot edu), including a statement of interest describing your prior experience and a CV
Link:
www.Robertsonlab.com
Postdoc in circuits for ethological visual behavior at Rutgers
Rutgers University
The Parker Lab seeks a postdoctoral scientist to lead studies on the neural circuit basis of ethological visual behavior. This full-time position has a two-year appointment with the possibility of renewal. Our lab is housed in the Behavioral and Systems Neuroscience area of the Psychology Department at Rutgers University - New Brunswick. We use a variety of techniques to measure (ephys + imaging) and manipulate (opto + chemogenetics) neural activity in freely moving and head-fixed mice in the context of visual processing and behavior. Applicants from diverse backgrounds are strongly encouraged to apply.
Link:
https://sites.rutgers.edu/parker-lab/
Postdoc position in circuit plasticity and neuromodulation
University of Colorado
The Welle BIOElectrics lab at the University of Colorado is looking for a postdoc to investigate how vagus nerve stimulation (VNS) drives circuit-specific plasticity. We are exploring how VNS enhances cholinergic signals to provide new information about behavioral outcomes, drives synaptic and functional plasticity and improves learning. Future projects include applying closed-loop neuromodulation in the context of neuropsychiatric disorders.
Candidates with experience in computational neuroscience, in vivo electrophysiology or imaging in animal models or neural engineering experience are welcome to contact Cristin Welle - cristin.welle@cuanschutz.edu
Check out our poster on Saturday 3-095 to get a sense for our lab’s work!
Link:
https://www.bioelectricslab.com
Postdoc in Comp Neuro & Probabilistic ML
University of Tübingen
The `Machine Learning in Science’ Group at the University of Tübingen + Tübingen AI Center (PI: Jakob Macke) will soon post multiple openings for PhDs and Postdocs, to work on the intersection of machine learning and computational neuroscience. Primarily, we are looking for scientists to work on deep mechanistic models of the fly visual system (funded by an ERC Consolidator Grant), but we are also interested more broadly in machine learning for computational and clinical neuroscience!
Please check out our research www.mackelab.org and twitter @mackelab, and reach out to us via email mls-jobs@inf.uni-tuebingen.de to be notified or for informal inquiries!
Link:
www.mackelab.org
Assistant or Associate Professor in Dept. of Physiology
University of Colorado
The Department of Physiology and Biophysics at the University of Colorado School of Medicine is seeking a neuroscientist or physiologist to fill a tenure-eligible Assistant or Associate Professor position. The applicant’s research program should address fundamental physiological questions at systems, cellular, or molecular levels, to complement and extend the Department’s existing research strengths in nervous and cardiovascular system function, ion channel biophysics and computational science (medschool.cuanschutz.edu/physiology). We especially encourage applicants using state-of-the-art imaging, electrophysiological methods and/or computational approaches. We expect appointees to conduct vigorous independent research and to participate in professional and graduate teaching and training.
Appointees will join a vibrant and growing Department under the new leadership of Dr. David DiGregorio – hired as Chair in January 2023 – with a commitment to mentoring faculty and trainees from diverse backgrounds. Research interests in the Department currently include cardiac and skeletal muscle physiology, cell signaling, computational neuroscience, developmental neurobiology, ion channel biophysics, sensory and motor systems, and synaptic function. Extra-departmental interactions within neuroscience and physiology, including basic science and translational collaborations, are facilitated by several NIH-supported interdepartmental graduate programs and centers (e.g., Neuroscience Program, Computational Biology Program, and Integrated Physiology Program).
*** feel free to reach out to me or Dan Denman here at the meeting to chat.
Link:
https://cu.taleo.net/careersection/2/jobdetail.ftl?job=28562
Postdoc - aging and Alzheimer’s impacts on hippocampal spatial representations
Gillespie Lab
The Gillespie lab at the University of Washington is focused on understanding how the neural mechanisms of memory processes degrade over the course of healthy aging and in the context of Alzheimer’s disease. We use in vivo electrophysiology to record from large ensembles of neurons from the hippocampus of rats performing complex memory-dependent tasks. We use computational approaches to link neural activity with behavior, and will to use the insight we gain to develop strategies to prevent or rescue detrimental changes in neural activity and ultimately preserve memory function. Please get in touch or find Anna at the conference to learn more!
Link:
www.Gillespie-lab.com
Postdoc in theoretical/computational neuroscience
University of California, Davis
Postdoc positions in theoretical/computational neuroscience available in Rishidev Chaudhuri’s research group at UC Davis. Research projects range from pure theory to close experimental collaborations, and include modeling interareal interactions during decision making (in collaboration with Tim Hanks), manifold learning and other geometric tools to analyze data, dynamical systems models of neural computation (both low-d attractors and high-d reservoir type approaches), neuromorphic computing, and computing with noise. We’re more interested in fit than a particular project.
The position is based at the Center for Neuroscience, which is extremely collaborative and has a strong contingent of theorists and theory-friendly experimentalists. Postdocs will have a number of potential additional mentors and the ability to develop new collaborations.
Davis is a charming small town, with lots of bikes and excellent local vegetables. The Pacific Coast and the Sierra Nevada mountains are both a short drive away. It’s also easy to commute from Sacramento and feasible to live in the Bay Area and come in several times a week.
Please see Google scholar for recent publications from the group: https://scholar.google.com/citations?user=1sVG1IgAAAAJ&hl=en&oi=ao
Link:
None
Postdoc and lab manager position at SickKids, Toronto. In vivo imaging methods on learning and memory research
Hospital for Sick Children (SickKids) / Univ. of Toronto
The brand new Taxidis lab at SickKids Research Institute and the University of Toronto is looking to hire for postdoc positions and for lab manager.
We are interested in neuronal circuit mechanisms underlying learning and memory with a particular focus on linking of memories across time. We combine (i) in vivo two-photon calcium imaging, (ii) in vivo voltage imaging, (iii) holographic optogenetic manipulations (iv) complex behavioral assays in mice and (v) computational modeling of neuronal network interactions.The lab focuses mainly on hippocampal dynamics and specifically on recording, manipulating and modeling activity from neural circuits in the hippocampus while mice learn and perform olfactory-driven behavioral tasks which involve memory mechanisms.
Feel free to reach out to me (jiannis.taxidis@sickkids.ca) and send your CV. Or just come talk to me at the main meeting or at the workshops and let’s grab a coffee.
Link:
None
Postdoc in Computational Neuroscience at University of Cambridge
University of Cambridge
The computational lab of Yashar Ahmadian at the University of Cambridge is looking for a highly motivated postdoc to lead a project investigating the computational principles and circuit mechanisms underlying human visual perceptual learning (VPL). This project is fully funded by the UKRI BBSRC, and is a collaboration with the lab of Prof. Zoe Kourtzi at the Cambridge Psychology Department. Experiments in the Kourtzi lab have revealed that VPL results in task-dependent changes in the balance of cortical excitation and inhibition. The postdoc will use mechanistic modeling and modern deep-learning approaches for likelihood-free inference to carry out model-based inference of mesoscopic circuit parameters controlling the strength and tuning of recurrent excitation (E) and inhibition (I) from fMRI and MR spectroscopy data. A second aim is to infer the computational principles underlying changes in cortical excitation and inhibition underlying VPL, by training a biologically plausible deep network model of visual cortex with E/I connectivity in the same VPL tasks.
ENVIRONMENT: The Ahmadian lab is part of the Computational and Biological Learning Lab (https://www.cbl-cambridge.org/) at the Cambridge Engineering Department. The postdoc will thus be part of a lively and stimulating environment bringing together world-class experts in AI, machine learning and computational neuroscience. The postdoc will also become part of the broader Cambridge neuroscience community, and in particular through the collaboration with the Kourtzi acquire training in psychophysical and fMRI data analysis techniques.
QUALIFICATIONS: past research accomplishments, strong mathematical/programming skills, background in computational neuroscience or machine learning, familiarity and experience with deep learning approaches and software. Applicants must have a Ph.D. in a quantitative discipline, e.g. computational neuroscience, machine learning, engineering, physics, math, or statistics.
Postdoc in NeuroAI and/or Theoretical/Computational Neuroscience
Flatiron Institute, Simons Foundation
A postdoc position is available in the Chklovskii group. Background in dynamical systems and control (especially data-driven) is a plus. If interested, please email your CV to mitya@flatironinstitute.org or see me at Cosyne
Link:
https://www.simonsfoundation.org/flatiron/center-for-computational-neuroscience/neural-circuits-and-algorithms/
Post-doc
Hospital for Sick Children
Join our team! We study all aspects of memory in rodents using a variety of different tools (1 and 2P imaging, opto, ephys, molecular, etc). We work hard and have fun!
Link:
None
Postdoc, PhD and Master in visual neuroscience at Université de Montréal (Canada).
Université de Montréal
The Neurophotonics lab of the School of Optometry of the University of Montreal is looking for postdoc and graduate students interested by our programs in Vision Sciences, Neuroscience or Biomedical Engineering. Our projects focus on the plasticity of cortical maps and functional connectivity in different models of blindness and stroke affecting visual functions. We are also interested in the spatial coding of information in the context of Brain/Machine interfaces and the development of neuroprosthesis to restore vision. We use a platform for measuring and manipulating brain functions in mice performing visual cognitive tasks in combination with neurophotonic approaches such as calcium imaging (macroscopic or multi-photon) or optogenetics. We are also interested in the development of technologies applied to neuroscience, in collaboration with companies.
The financial support of the lab will guarantee a scholarship for students and postdocs who do not yet have the support of funding organizations.
To apply:
1) You will need to have training or lab experience in at least one of the disciplines below:
- Neurophysiology (including calcium imaging, electrophysiology, …). In the case of postdoc application, expertise in neurophotonics is mandatory (such as: calcium imaging, in vivo multiphoton microscopy, optogenetics, etc.)
- Computational Neuroscience.
- Behavioral measurement in animals
- Biomedical Engineering (e.g. 3D design/printing, electronics, etc.)
2) You must have a preliminary experience in data analysis (with Matlab or Python ideally)
Link:
https://www.opto.umontreal.ca/cortex/
Post-doc and PhDs in RL and large spiking neural models
OIST
We are looking for a postdoctoral scholar or staff scientist who aspire to understand how the brain works and to create autonomous adaptive agents. We specifically invite applications to the following research topics:
Theory of goal-directed, multi-layer representation learning and its application to robotics as well as understanding of cortical and subcortical neural representations.
Theory of self-organization of heterogeneous learning modules for task demands and the mechanisms of communication and collaboration of multiple brain areas.
Construction of data-driven spiking neuron models of the basal ganglia for reinforcement learning and large-scale simulation on the supercomputer "K".
Development of distributed reinforcement learning frameworks for optimization of communication and energy efficiency for the networks of computers and things.
Applicants should send a CV, research statement, and the names and e-mail addresses of three referees to ncus (at) oist.jp with a header: Research Position at Neural Computation Unit, OIST.
Link:
https://groups.oist.jp/ncu
