Jobs Posted on the Whova Community Board of Cosyne 2020
If you know anyone in the job market, feel free to share with them
Postdoctoral positions in computational neuroscience at Cold Spring Harbor
Cold Spring Harbor Laboratory Outstanding researchers interested in applying methods from mathematics, theoretical physics, machine learning, and AI to neuroscience problems are welcome to apply. If interested, talk to me at the meeting or email me.
Postdoc at the Rowland Institute at Harvard
Rowland Institute, Harvard University Robotic architectures meet experimental Drosophila systems neuroscience. Focus on development of new behaviors and recording in behaving flies. Find me at the meeting or email me.
Machine Medicine Technologies Machine Medicine is building a software platform for machine-brain interfacing, focusing on the problems of patient selection, surgical planning and device programming. The post centres around integrative (i.e. multiple data types) Bayesian optimisation for these problems. The opportunities for publishing are very great and we have unique data collected from clinical sites spread across the globe. Competitive salary and share options on offer.
Application I'm attending Cosyne and can meet in person. please email me at email@example.com to arrange.
Postdoctoral Marie Curie Scientia Fellowship
University of Oslo, Institute for Basic Medical Science 3 years postdoctoral marie curie scientia fellowhsip in system/computational electrophysiology at the university of oslo on the role of sleep in cognitive development. techniques: dense array multitelectrodes electrophysiology in vivo recordings, 2 photons, optogenetics, programming, close-loop brain machine interface, crispr model
see 3rd project: "Sleep cognitive development memory/learning neural coding" https://www.med.uio.no/english/research/scientia-fellows/thematic-areas/neuroscience
Postdoctoral Research Fellow
University of Pittsburgh A postdoctoral position investigating the organization and function of auditory corticofugal projection systems in behaving mice is available in the Williamson Laboratory at the University of Pittsburgh. The laboratory uses a variety of state-of-the-art tools to probe the neural circuits of awake mice – these include two-photon calcium imaging and high-channel count electrophysiology (both with single-cell optogenetic perturbations), head-fixed virtual reality behaviors, and statistical approaches for neural characterization. Details on the research focus and approaches of the laboratory can be found here: https://www.williamsonlaboratory.com/research/
Applicants must have a PhD in Neuroscience or a relevant field and must be eligible for employment in the US. We are looking for individuals with an excellent record of research achievements and expertise at the intersection of two or more of the following areas: electrophysiology, two-photon imaging, quantitative behavior, and computational neuroscience. Applications will continue until the position is filled.
The Williamson Laboratory is the newest member of the Pittsburgh Hearing Research Center at the University of Pittsburgh. The lab is embedded within the Departments of Otolaryngology and Neurobiology, and affiliated with the Center for Neuroscience (CNUP) and the Center for the Neural Basis of Cognition (CNBC). Postdoctoral fellows will be part of a highly supportive and diverse research environment with excellent career development opportunities.
The University of Pittsburgh was ranked third in terms of total NIH funding received in 2018. The Global Livability Index (The Economist) recently ranked Pittsburgh as the second most livable city in America.
Interested candidates should email a brief statement of research interests, a CV, and the names and contact information of three references to Dr. Ross Williamson (firstname.lastname@example.org).
Microfabrication Engineering Specialist
NeuroNexus View Job Description & Quick Apply VIa LinkedIn
Southern Methodist University, Department of Mathematics We are seeking a postdoc to develop a computational theory for the gain recalibration of the hippocampal-entorhinal path integration system. A particular focus of the project is the network interactions that may underlie the nonlinear dynamics observed in experimental data.
The postdoc would be part of an ongoing collaboration among the labs of James Knierim, Noah Cowan, Kechen Zhang (Johns Hopkins University), and Kathryn Hedrick (Southern Methodist University). The project is funded by the BRAIN Initiative and by the Collaborative research in Computational Neuroscience (CRCNS) program.
If you are interested, please e-mail me for more information. I can also meet with you during the main meeting or workshops.
Harvard University Postdoctoral positions are available in Cengiz Pehlevan’s theoretical neuroscience 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.
University of California, Berkeley One open postdoctoral research fellow position in the computational cognitive neuroscience lab at UC Berkeley. We are looking for excellent applicants with an interest in human learning, decision making and executive functions. Strong computational skills are particularly encouraged.
Postdoctoral Fellow, Theory Fellow
Janelia Research Campus The Fitzgerald lab at the HHMI Janelia Research Campus has an opening for a postdoctoral researcher in computational or theoretical neuroscience. Our research interests are broad (see website), and I look forward to meeting any excellent applicant who thinks that they may have overlapping interests. We are currently most active in: (1) brain-wide neuroscience in larval zebrafish; and (2) hippocampal-dependent learning and memory. The Fitzgerald lab is also highly collaborative, and we work closely with experimenters at Janelia and elsewhere. The ideal applicant will want to combine theory, modeling, data analysis, and experimental design. They will also want to tightly integrate their theoretical projects with current or future experimental collaborations.
Exceptional applicants interested in a more independent postdoctoral experience should also consider applying to become a Theory Fellow at Janelia (janelia.org/our-research/overview/theory-fellows). Theory Fellows do independent work and collaborate across the boundaries of individual labs. It’s a great position for taking full advantage of Janelia’s vibrant scientific atmosphere.
Pouget lab. The Pouget lab in Geneva has a postdoc position available in summer 2020. We’re seeking candidates with strong training in computational neuroscience, math, physics or machine learning. There are no specific constraints on the research theme as long as it falls under the general umbrella of neural coding and computation. Candidates should send their CV to email@example.com.
Postdoc @Serre lab | BCI and deep learning
Brown University The Serre lab has an opening for a postdoctoral fellow to focus on the development of neuroscience-inspired deep-network algorithms towards the design of an intelligent spinal interface. In collaboration with other researchers at Brown, surgeons from Rhode Island Hospital and private partners, we will develop and test a device aimed at bridging the gap in neural circuitry created by spinal cord injury, in the hope of restoring muscle control and sensation. The postdoc will be responsible for overseeing the development of an AI-based interface working with other members of the Serre lab and collaborators at Intel. The successful candidate will become involved in a number of projects, depending on their particular interests, and will also have the opportunity to develop independent projects. The fellow will be located in a new state-of-the-art facility within the Carney Institute for Brain Science and embedded within the Carney Center for Computational Brain Science. We also expect synergies with the Data Science Initiative co-located within the same building.
Press release about the Intelligent Spine Interface project: https://www.brown.edu/news/2019-10-03/isi
More information about the Serre lab: https://serre-lab.clps.brown.edu
More information about the Carney Institute for Brain Science: https://www.brown.edu/carney
** Requirements ** Candidates must have a strong background in computational neuroscience and/or machine learning, with a track record of relevant publications at top machine learning venues (e.g., NeurIPS, ICML, ICLR, etc.) and/or neuroscience journals.
Excellent Python programming skills and Tensorflow and/or Pytorch experience are required.
** Application ** I am attending CoSyNe and can meet interested candidates in person. Please send your CV to firstname.lastname@example.org with the subject line "cosyne / postdoc position."
Postdoc in computational neuroscience
University of Pittsburgh The Huang group at the University of Pittsburgh has a postdoc position available for computational modeling to understand how recurrent connections with synaptic plasticity shape the time scales in auditory cortex. This position is part of a collaboration with Prof. Tobias Teichert and Prof. Dean Salisbury from the Department of Psychiatry in the University of Pittsburgh. This project aims to use a combination of modeling, electrophysiology and EEG recordings to investigate the circuit mechanisms underlying auditory refrectoriness, as well as auditory dysfunction in Schizophrenia.
The position is funded for two years, with an initial one-year appointment, and it can be possibly extended to three years. The project is funded by a Brain Initiative grant.
If interested, please email me for more information. I can also meet during the main meeting.
Postdoc at Michigan Neuroscience Institute
University of Michigan Postdoc position open in the Burgess lab at University of Michigan.
Our lab studies the emergence of neuronal ensembles related to learned visual cues using novel behavioral paradigms, two-photon imaging, optogenetics, and modeling.
Previous experience with two-photon or modeling high dimensional data preferred.
Washington University in St Louis A post doctoral position is available for a BRAIN initiative funded project in the area of optimization, dynamical systems, neural coding and working memory. Please contact ShiNung Ching via the email address.
multiple experimental and computational postdoc openings
Stony Brook University supported by NIH U01 grant looking into neural dynamics in neural circuits.
Postdoc at RIKEN CBS
RIKEN Center for Brain Science I am looking for an excellent postdoc to join my new theory group at RIKEN Center for Brain Science. I am broadly interested in uncovering the explicit neural mechanisms that underlie cognition and neurological diseases. Currently, I study how the hippocampal region produces memory, spatial representations, and seizures.
RIKEN Center for Brain Science (https://cbs.riken.jp/en/) is a national research institute located in the Tokyo area. It is comprised of over 40 faculty members active in all areas of experimental and computational neuroscience. English is the official language and 20-30% of researchers are international.
The position will be formally advertised during the summer. It will feature an internationally competitive salary and extensive opportunities for international travel. Please find me in person or email me at email@example.com if you’re interested.
National Eye Institute, NIH We have two openings for post-docs in data-analysis combined with computational modeling or experimental work (multichannel electrophysiology during visually driven behavior in mammals). Projects are flexible provided they fall within the overarching research direction of the lab. Starting date is negotiable but summer or fall of 2020 would be ideal. If interested please send your CV to firstname.lastname@example.org.
Post doc at Stanford
Stanford University Looking to make groundbreaking contributions to an uncharted field? Interested in working with cutting-edge data? Have you ever pondered how our brains mediate our ever changing social worlds?
The Haroush laboratory studies how dynamic social behaviors are mediated at the neuronal level.
Join the vibrant research environment at the heart of Stanford Neuroscience’s diverse multidisciplinary community
Postdoc: synaptic imaging and learning
University of Minnesota Postdoc position open in the Kerlin lab at the University of Minnesota.
Our lab uses advanced in vivo multiphoton imaging techniques and optogenetics to study synaptic plasticity and the neurobiology of motor learning. The lab is part of the growing Optical Imaging and Brain Sciences Medical Discovery Team at the University of Minnesota and shares substantial internally-funded optical engineering and computational resources. Please email email@example.com if you are interested in the lab or broader team at the UofM.
Professor, Theoretical Neuroscience (Open Rank)
University of Minnesota The University of Minnesota (UMN) has launched a major initiative to establish a Medical Discovery Team (MDT) focused on development and application of cutting edge, innovative technologies, such as in-vivo multiphoton microscopy, for imaging neuronal activity (https://med.umn.edu/brain-science). The MDT is currently seeking applications for a tenure-track (Assistant Professor) or tenured (Associate or Full Professor) faculty position in theoretical or computational neuroscience. Successful candidates should have experience developing predictive models of neural activity at the cellular or circuit level that inform data analysis and experimental design. Collaborations with the experimental neuroscience groups within the team would focus on the following themes: sensory systems, neurovascular coupling, function and development of cortical columns, single-neuron computation, and learning.
The State of Minnesota has appropriated significant funds over the next eight to ten years for the University of Minnesota to create a world-class program and facilities in this area of optical imaging and brain science. Newly constructed space and generous startup packages are available for successful applicants.
Please contact firstname.lastname@example.org with any questions. Apply online at https://hr.myu.umn.edu/jobs/ext/334361 by March 15th.
Professor, Experimental Neuroscience (Open Rank)
University of Minnesota The University of Minnesota has launched a major initiative to establish a Medical Discovery Team focused on the development and application of cutting-edge optical technologies for neuroscience, such as in-vivo multiphoton stimulation and recording. This multi-disciplinary team will be well-poised to map the detailed circuits that underlie sensation, perception and complex behaviors in the developing and mature brain (https://med.umn.edu/brain-science).
We currently seek candidates for tenure-track (Assistant Professor) or tenured (Associate or Full Professor) faculty positions who are using these new technologies to link neural circuits with behavior in any of the variety of animal model systems available, including marmosets and macaques. Applicants who invent physical tools (optical or protein engineering) to probe brain function are also encouraged to apply.
The State of Minnesota has appropriated significant funds over the next eight to ten years for the University of Minnesota to create a world-class program and facilities in this area of optical imaging and brain science. Newly constructed laboratory space and generous startup packages are available for successful applicants. This optical imaging initiative will establish approximately six faculty members, of which three have already been hired.
Please contact email@example.com with any questions. Apply online at https://hr.myu.umn.edu/jobs/ext/335300.
Postdoc and research scientist positions
Flatiron Institute, Simons Foundation The Chklovskii group seeks exceptionally productive researchers interested in theoretical neuroscience and/or biologically-inspired machine learning. Successful candidates will analyze connectomics and physiology datasets and/or develop biologically plausible online algorithms that model neural computation and solve machine learning tasks. We welcome applicants with background in neuroscience, physics, electrical engineering, computer science, and applied mathematics.
Postdoctoral Research Fellow
Merck & Co The Postdoctoral Research Fellow will have the opportunity to develop a quantitative systems pharmacology (QSP) model of Alzheimer’s disease. Understanding the holistic effects of pharmacological perturbations on modulating a biological system is the underlying aim of systems pharmacology. QSP is defined as an approach to translational medicine that combines computational and experimental methods to elucidate, validate and apply new pharmacological concepts to the development and use of small molecule and biologic drugs. QSP modeling has been gaining popularity as a tool in drug discovery/development to generate hypotheses, guide experimental design, and support decision making. Alzheimer’s disease is a central neurodegenerative disease and the leading cause of dementia. Development of a QSP model of AD would enhance our understanding of the complex relationship amongst pathophysiological mechanisms of AD. The postdoc will work in a collaborative environment alongside a diverse team of modelers, experimentalists, and subject matter experts to gain a quantitative understanding the pathophysiological processes in Alzheimer’s disease.
Postdoc position - Machine Learning and Computational Clinical Neuroscience
UCSF The lab of Reza Abbasi-Asl at the University of California, San Francisco (UCSF) invites applications for a fully-funded postdoctoral position at the intersection of machine learning, computational and clinical neuroscience. The project seeks to develop quantitative methods to analyse multi-modal data from patients with neurological disease. The data includes one-of-a-kind measurements of MRI, genetic variants, electronic health record, etc from thousands of patients. The role of the candidate is to develop analysis and modeling frameworks to identify scientifically meaningful patterns in patient data that are associated with the disease processes. The project involves predictive modeling, biomedical image and signal processing, interpretation inference, artificial neural networks, visualization, etc. This is an opportunity to work on a highly impactful real-world problem within an interdisciplinary and collaborative environment.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computer science, engineering, computational neuroscience, mathematics, or related fields) and experienced in programming and data analysis. Previous background in neuroscience or imaging would be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF including extensive learning and research support.
Additional information is available at: https://abbasilab.org/
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
Postdoc position - Machine Learning and Computational Neuroscience
UCSF The lab of Reza Abbasi-Asl at the University of California, San Francisco (UCSF) invites applications for a postdoctoral position at the intersection of machine learning and computational neuroscience. The project seeks to develop quantitative methods to analyze population of neural recordings from brain. The data includes volumes of 2-photon and 3-photon calcium imaging from tens of thousands of neurons in mouse primary visual cortex in response to various visual stimulus. The Electron Microscopy from the same tissue provides the connectome profile of the neurons. This is a collaboration with Allen Institute for Brain Science. Another dataset includes electrophysiology recordings from macaque visual cortex in response to natural stimulus. This is a collaboration with UC Berkeley. The role of the candidate is to develop analysis and modeling frameworks to identify meaningful patterns in the data. This includes functional connectomics, population coding, receptive field coverage and tiling and response reliability. The project involves interpretation inference, predictive modeling, artificial neural networks and visualization.
We are looking for highly-motivated individuals with a strong quantitative background (PhD in computational neuroscience, computer science, engineering, mathematics, or related fields) and experienced in programming and data analysis. Previous background in neuroscience would be highly beneficial.
UCSF is part of the 10-campus University of California, the world’s premier public research university system, and the only of its campuses dedicated to graduate and professional education. UCSF Neurology has been consistently ranked among the top departments of neurology at US medical schools. The successful candidate will benefit from various clinical and basic science resources at UCSF.
Candidates should send their CV, research statement, expected date of availability, and the contact information for three references to Reza.AbbasiAsl@ucsf.edu.
Postdoctoral fellowship in computational vision
York University Postdoctoral Fellowship:
Psychophysical and Computational Studies of the Human Visual System
York University Centre for Vision Research
A postdoctoral position is available in the Human and Computer Vision Laboratory of James Elder at York University, Toronto, Canada. The candidate should have a research background in visual psychophysics and/or computational modeling of biological vision systems.
Specific topics of current interest include:
Feedback / recurrent processing in visual cortex
Natural scene statistics
Single-view 3D perception
The salary for this position is competitive and the starting date is flexible. The position is for one year, with the expectation of renewal. International applications are encouraged.
The Elder Laboratory is part of the York Centre for Vision Research (CVR), the York Vision: Science to Applications (VISTA) Program, the NSERC CREATE Training Program in Data Analytics & Visualization (NSERC CREATE DAV), and the Intelligent Systems for Sustainable Urban Mobility (ISSUM) project.
Please direct your application to Ms. Anna Kajor at firstname.lastname@example.org, with subject line Application: Human Vision Postdoctoral Fellowship. Your application should include your c.v. and the names of 3 referees.
Postdoctoral research in Neurobiology
Duke University The Glickfeld lab has multiple funded positions available to study the functional organization of the mouse visual system. We use a combination of behavior, physiology and computation to understand how sensory input is represented in the visual cortex, and how it is used to guide behavior. The ideal candidate would have experience and enthusiasm for both experiments and analysis. Please contact Lindsey Glickfeld at email@example.com to discuss specific projects and interests.
postdoc position in neurobiology
Washington University in St. Louis The Padoa-Schioppa lab at Washington University has an open position for a post-doc. Research will focus on the neural mechanisms of economic choices. Prior experience working with non-human primates and/or neurophysiology are highly valued but not strictly necessary. For information and application, please email Camillo Padoa-Schioppa: firstname.lastname@example.org See also: http://neurosci.wustl.edu/padoa-schioppalab/
Postdoc in computational and theoretical neuroscience
Columbia University Postdoctoral research position in the Center for Theoretical Neuroscience at Columbia University. Come work with me on models of learning, sequences, timing, hierarchical computations, and behavior in the motor system (basal ganglia, motor cortex, thalamus, etc.) and in neural networks more generally.
Please visit our posters at Cosyne this year:
III-12. Action selection in continuous time and space in the basal ganglia
III-16. Remembrance of things practiced: A two-pathway circuit for sequential learning
And a couple of recent preprints:
Remembrance of things practiced: Fast and slow learning in cortical and subcortical pathways https://www.biorxiv.org/content/10.1101/797548v2
A model of flexible motor sequencing through thalamic control of cortical dynamics https://www.biorxiv.org/content/10.1101/2019.12.17.880153v1
Swartz postdoc In theoretical neuroscience
Harvard University The Swartz Program at Harvard University seeks applicants for a postdoctoral fellow in theoretical and computational neuroscience.
Based on a grant from the Swartz Foundation, a Swartz postdoctoral fellowship is available at Harvard University with a start date in 2020. Postdocs join a vibrant group of experimental and theoretical neuroscientists at Harvard's Center for Brain Science.
The Center for Brain Science includes junior and senior faculty doing research on a wide variety of topics, including neural mechanisms of rodent learning, decision-making, and sex-specific and social behaviors; reinforcement learning in rodents and humans; human motor control; behavioral and fMRI studies of human cognition; circuit mechanisms of learning and behavior in worms, larval flies, and larval zebrafish; circuit mechanisms of individual differences in flies and humans; rodent and fly olfaction; inhibitory circuit development; retinal circuits; and large-scale reconstruction of detailed brain circuitry.
Interested applicants should immediately send a CV, statement of research interests, and arrange for three letters of reference to be sent to Haim Sompolinsky (email@example.com), Kenneth Blum (firstname.lastname@example.org), Sam Gershman (email@example.com), or Cengiz Pehlevan (firstname.lastname@example.org). Applications should have “Swartz Fellowship” in the subject line.
Harvard University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law
PhD and postdoc positions in biological deep learning
University of Bern A postdoc and two PhD positions devoted to the modeling of learning in deep cortical networks are available in our Computational Neuroscience labs at the University of Bern, Switzerland. Our research is focused on biologically realistic models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, learning to learn, and neuromorphic implementations.
The positions are part of the European Human Brain Project and are available from April 1st, 2020, for 3 years (extendable through other funding). We offer a stimulating environment with three research groups in theoretical and computational neuroscience, along with experimental neuroscience at the same Department of Physiology (physio.unibe.ch/gruppen.aspx), as well as close collaboration with other labs in neuroscience, artificial intelligence and neuromorphic engineering.
Ideal candidates should have a strong background in computational neuroscience, machine learning, applied mathematics and/or physics. Please send your CV, publication list, letter of motivation and contact information for at least two references to Walter Senn (email@example.com) and Mihai Petrovici (firstname.lastname@example.org), with cc to Sabine Herzog (email@example.com). The first evaluation round will begin on March 23rd, 2020. The positions will remain open until filled.
Postdoc position in theoretical and computational neuroscience
Max Planck Institute for Brain Research We are looking for a postdoctoral researcher in the Gjorgjieva group at the Max Planck Institute for Brain Research in Frankfurt, Germany. We use mathematical and computational approaches to study how neural networks self-organize into functional units from a combination of mechanisms including synaptic, homeostatic and intrinsic plasticity. We investigate different levels from individual synaptic inputs on dendrites to large-scale networks of higher order cortex. We are especially interested in these aspects during cortical development before and shortly after birth when the brain is highly plastic, but general aspects of learning and memory, especially under naturalistic stimuli and behaviors are also of great interest. For our recent work, you can see our latest papers and preprints: http://cns.wzw.tum.de/index.php?id=pubs
We collaborate with different experimental research groups in the US, UK, Netherlands and Germany and benefit from interactions with the strong neuroscience community in Frankfurt. Our applications range across animals from rodent to Drosophila and reptiles.
Successful applicants can choose from a range of projects including data analysis, theoretical model development and analytical calculations, numerical simulations, and applications to rich datasets from collaborating labs. Applicants should have a strong quantitative background (in mathematics, physics, engineering, computer science, or related fields) and good programming skills (Matlab, C/C++ or Python).
The position can start as early as spring 2020. For more information or an informal questions, email me at firstname.lastname@example.org or come and find me during the main meeting.
To apply for this position, please email the following: 1. A curriculum vitae 2. A description of research interests, including a motivation for why you chose to apply to our group 3. A writing sample, either a manuscript, thesis or code 4. Contact details for 2-3 referees
Post-doc in Computational generation of axonal morphologies
Blue Brain Project The goal of this project is the computational generation of axonal morphologies that reproduce the local and global morphological properties of biological cells in the rodent brain. This is a crucial step for the generation of large scale neuronal networks that are structurally and functionally similar to biological networks. Meso (& macro) scale axons should be built at two levels of complexity: the first one requires the generation of long range paths and the second one the generation of local branching.
Postdoc in Computational and Theoretical Neuroscience at UCSD
UCSD The Reinagel lab at UCSD is recruiting computational postdocs for one or more of the following research projects.
1. Perceptual decision-making: Analysis and modeling of behavioral data from rats, mice, and humans to address open questions in perceptual decision-making. Mainly or only computational work (data collected by others). -- see the Comparative Decision Making Workshop at Cosyne 2020
2. Neuroeconomics: Test predictions of a utility maximization model for temporal dynamics of effort allocation; test hypotheses about neural mechanisms. Experiments in rats/mice, and computational modeling. -- see my talk in the last session on Sunday
3. Vocal communication: Measure and characterize information encoded in nonverbal vocal acoustics about emotional state; test hypotheses about neural mechanisms. Experiments in humans, and computational modeling.
4. Blindsight: characterize sensory and cognitive differences between cortically-mediated and cortex-independent visually guided behavior. Mainly or only computational work (data collected by others).
Icahn School of Medicine at Mount Sinai Looking for postdoc interested in multi-purpose RNNs to study multi-region brain activity in zebrafish
Postdoc in learning and decision-making in neuropsychiatric risk
University of Minnesota Postdoctoral position open in Grissom Lab at the University of Minnesota.
Our lab is interested in understanding how brains can flexibly implement different cognitive strategies in learning and value-guided decision-making. Many factors may drive the selection of divergent strategies for making value-guided choices, including risk factors for neuropsychiatric disorders.
We have a new opening for a postdoctoral researcher to study the neural dynamics associated with multiple kinds of decisions, including value-guided choices in multi-armed bandit tasks. This work will explore how decisions are altered in mice carrying gene variants associated with psychosis and autism. We employed touchscreen cognitive testing, computational modeling, fiber photometry, and molecular biology, and will be implementing in vivo electrophysiology during cognitive testing. Our work is part of a multi-PI program to understand dysfunctional state representations in neuropsychiatric disorders, part the growing Computational Psychiatry initiative at the University of Minnesota, Neuro Plasticity Research in Service of Mental Health (NeuroPRISMH). Successful applicants will join the rapidly growing neuroscience community at the University of Minnesota interested in cognition and reward supported by multiple initiatives, including NeuroPRISMH, the Medical Discovery Team on Addiction, and several T32 training grant opportunities, including a T32 in Computational Psychiatry.
In vivo neurophysiology post-doc
LBNL/UC Berkeley The Bouchard Lab at Lawrence Berkeley National Laboratory/University of California Berkeley is seeking a post-doctoral scholar to perform neural recordings from awake behaving rodents (rats). Our group has developed a novel robotically controlled 3D rat reaching preparation with video monitoring. We have also pioneered the use of mECoG to record from hundreds of channels distributed across the cortical surface with millisecond resolution. This position has the specific focus of collecting data using simultaneous surface/depth recordings from the rat sensorimotor cortex during complex rat reaches. Analysis of the ensuing data with state-of-the-art statistical machine learning methods to understand network-level phenomena will be performed in collaboration with other lab members. Utilization of optogenetics for manipulation of specific neural circuits underlying behaviors is a goal, as well as testing multi-thousand channel electrophysiological recording systems.
The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be in June of 2020. Compensation will be commensurate with relevant experience. LBNL has competitive benefits and is an equal opportunity employer. LBNL is located in the Bay Area, which is one of the fastest-growing neurobiology-neurotechnology centers in the United States. The Bay Area offers a wide range of opportunities for recreation, culture, and easy access to domestic and international transportation.
Postdoc- statical machine learning for neural time-series data
UCSF/LBNL/ The Kirst lab at LBNL/UCSF (https://profiles.ucsf.edu/christoph.kirst) and the Bouchard lab at LBNL/UC Berkeley (https://bouchardlab.lbl.gov) are looking for a joint post-doctoral researcher to work at the interface of dynamical systems, statistical machine learning, and neural time-series data to better understand mechanisms underlying flexible function and computational coordination in the brain. This position will focus on developing and applying methods to analyze neurophysiological signals, with focus on data collected from multiple sites in the brain by the Bouchard lab and labs at UCSF. The goal is to advance the state of the art in analysis methods to characterize brain dynamics and network interactions at multiple scales. State-space modeling approaches will be integrated with emerging unsupervised learning and supervised inference procedures. This position will include a strong collaboration with both basic and clinical neuroscience labs at UCSF and UC Berkeley. The position has significant flexibility and the lab is committed to the professional development of the members, making it valuable preparation for people who are interested in academic, industrial or entrepreneurial careers. The position has no mandatory teaching or administrative duties, but the successful candidate will take an active role in mentoring students and further developing the research program. Excellent (written and oral) communication skills in English are required. The start date is flexible but ideally would be in June of 2020. Compensation will be commensurate with relevant experience. UCSF has competitive benefits and is an equal opportunity employer.
Postdoc in theoretical and computational neuroscience
Hebrew University of Jerusalem The Burak lab at the Hebrew University in Jerusalem is seeking candidates for a postdoctoral research position. The lab is broadly interested in computational and theoretical research, concerned with the organization and function of neural circuits in the brain.
Current areas of interest in the lab include: principles of neural coding, maintenance of short-term memory in the brain, spatial representation and computation in the mammalian brain, and the dynamics of synaptic plasticity in recurrent neural networks.
The lab is part of the Edmond and Lily Safra Center for Brain Sciences, an interdisciplinary research institute with a long history of leadership in computational neuroscience. The center offers a dynamic and stimulating environment for research in computational and systems neuroscience. The Burak lab is affiliated also with the Racah Institute of Physics at the Hebrew University.
Applicants must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, machine learning, or a related field, and a keen interest in computational neuroscience. To apply, please send a CV and list of publications, a brief statement of research interests, and the names of three references to email@example.com.
Dolby laboratories, inc. Please see bulletin board on 3rd floor- I’m at conference. Please text if interested.
Postdoc / Graduate Students
Institute of Molecular and Clinical Ophthalmology Basel (IOB) The Institute of Molecular and Clinical Ophthalmology Basel (IOB) of the University of Basel is seeking a highly motivated PhD student to join the Franke Group.
While we have a general understanding of the neural circuitry within the retina, many of the details remain unknown. Furthermore, we lack understanding of the path from vision to behaviour as soon as the signals leave the eye via the optic nerve. We want to bridge this gap by understanding the principles of neural processing from the retina to subcortical areas.
We will study neural computations in the context of reflexive visual behaviour and retinal diseases. The successful candidate will work in a team addressing these questions and will analyse data from extracellular neural recordings, Calcium imaging, and functional ultrasound imaging, and will build models of neural circuits.
The ideal candidate will have a background in Signal Processing, Data Science, Machine Learning, Computational Neuroscience, or related fields, and strong mathematical and programming skills (e.g., Matlab, Python, C++). Enthusiasm to work with real neural recordings and to collaborate on establishing experimental setups is expected. Hands-on experience, preferably with in-vivo electrophysiology, is a plus.
The candidate must be able to fluently communicate in English (oral and written) and be willing to work in a highly interactive and interdisciplinary team of Postdocs and PhD students.
For postdoc positions, appointment duration is initially for 3 years at highly competitive conditions with a possibility of extension. Earliest starting date: 1 st of June 2020.
Postdoc Position in Computational Cognitive Neuroscience
UC San Diego Applications are invited from highly motivated researchers for a postdoctoral position immediately available in the Computational & Cognitive Neuroscience Lab, led by Prof. Angela Yu, at University of California, San Diego. Initial appointment is for one year, renewable for up to 2-3 years.
Dr. Yu’s lab applies modern machine learning and statistical tools to extract computational principles that underlie cognitive processes that enable intelligent behavior, in particular how humans and other intelligent agents perform inference, learning, decision-making, and social interactions under conditions of uncertainty and non-stationarity. Current interests include perception, face processing, active sensing, judgement and decision making, and social cognition.
Applicants should be committed to applying rigorous mathematical tools to model cognitive functions and/or their neural underpinnings. Experience or interest in carrying out human behavioral experiments (either in person or on Amazon M-Turk) and/or collaborating with other neuroimaging/neurophysiology laboratories is desirable.
Dr. Yu's lab is situated within the Cognitive Science department, and also affiliated with the Halıcıoğlu Data Science Institute, the Computer Science Department, the Neurosciences Graduate Program, and the Institute of Neural Computation. There are ample opportunities for collaborations with related groups across the UCSD main campus, the medical school, and the Salk Institute.
Interested candidates should send a research statement, along with a CV including publications, to Dr. Angela Yu (firstname.lastname@example.org) with the subject “Postdoc Application”. Two or more letters of references should be sent directly by the recommenders to email@example.com. More information about Dr. Yu’s group can be found at http://www.cogsci.ucsd.edu/~ajyu .