9 postdoc-machine-learning Postdoctoral positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology, The MIT Center for Theoretical Physics - a Leinweber Institute Position ID: MIT-CTP-LI-POSTDOC [#30699] Position Title: Position Type: Postdoctoral Position
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well as several postdocs and a large number of visitors. We also interact strongly with our particle theory colleagues, among whom Robert Jaffe, Hong Liu, Jesse Thaler, and Frank Wilczek have particularly strongly
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
performance and continued funding. If you have applied for a postdoc position at MITEI since July 1, 2025, you do not need to reapply for this opening. The position will remain open until qualified candidates
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Massachusetts Institute of Technology, Schwarzman College of Computing Position ID: Massachusetts Institute of Technology-Schwarzman College of Computing-POSTDOC [#30576] Position Title: Position
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. The full job description is available here. https://www.dropbox.com/scl/fi/pei7s6ncbj1ygcwsya2q0/Postdoc-2026_2027-call-for-applications-8.28.25.pdf?rlkey=tf4zawqnes5ulx7gwrp5218bu&e=1&st=hwztd7q6&dl=0 Job
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combination of observational data, machine learning techniques, and cosmological simulations. The group is actively involved in multiple JWST Guaranteed Time Observation (GTO) and General Observer (GO) programs
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Pythonis; and experience with tokamak physics or machine learning techniques. The appointment will be for two years with the possibility of renewal based upon satisfactory job performance. Application
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life of MIT’s History Section; -Present at least one public lecture at MIT during the fellowship term; -Teach one course per academic year, determined in consultation with the History faculty and aligned
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
Jet Propulsion Laboratory, focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of its projections. Will collaborate with oceanographers