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CI
Carney Institute for Brain Science
Postdoctoral Research Fellow in Computational Neuroscience
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What they do
A Computational Biologist uses biological data to develop models to better understand biological systems. Conducts analysis using computational and mathematical methods and large data sets.
$108,196 / year median in Rhode Island
+13% projected growth
Job Description
Postdoctoral Research Fellow in Computational Neuroscience Employer Carney Institute for Brain Science Location Providence, Rhode Island Salary Based on Brown's minimum pay scale Closing date Sep 16, 2026 View more categories View less categories Sector Graduate School or University Job Function Postdoctoral Researcher Research Area Cognition Position Type Full Time Level Any Experience Level Considered Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job Job Details The Nancy G. Zimmerman Center for Computational Brain Science at Brown University is seeking Postdoctoral Fellows to join the NIMH funded T32 Training Program in Computational Psychiatry (TPCP). The program's goal is to train research fellows with expertise in computational cognitive and systems neuroscience, capable of collaborating with clinical researchers to advance knowledge of psychiatric disorders and treatments. Eligible research topics include brain and cognitive modeling over multiple scales and levels of analysis (ranging from biophysics to artificial intelligence), and the use of these models to understand mechanisms of psychiatric disorders with the ultimate goal of improving treatments. The program embraces an apprenticeship model in which fellows work with a primary research trainer in a computational field and, optionally, a secondary research mentor in clinical psychiatry. In this apprenticeship model, the trainer works closely with the fellow and a secondary clinical psychiatry mentor who conducts research in areas such as neuroimaging, neurostimulation, and digital phenotyping. These research areas are especially well-suited for addressing important issues in computational psychiatry, whether they are model-or theory-driven or data-driven. The proposed didactic program will include both core seminars and an individualized curriculum, including fellow-selected courses in neuroscience, computer science, engineering, applied mathematics, or psychiatric disorders. The long-term goal is to produce a new cohort of academics who can conduct research in computational psychiatry and train the next generation of graduate students in this emerging field of inquiry. The Zimmerman Center for Computational Brain Science has a strong track record of excellence in computational neuroscience. The TPCP training program seeks to recruit recent PhDs with strong backgrounds in fields such as neuroscience, engineering, applied mathematics, and computer science, and provide them with the tools to make significant contributions to the emerging field of computational psychiatry.