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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 hours ago
disaster response and energy systems. Will develop and implement machine learning models for local weather forecasting and uncertainty quantification, including probabilistic and generative approaches
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science, or a related field; experience with using and building machine learning models, developing and validating computational analysis workflows, and developing circuit models is preferred; excellent
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optimization or machine learning methods relevant to materials research. 4/2/2026
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management and planning skills; strong problem-solving and organizational skills; strong computer experience with Microsoft Office suite; and experience with or willingness to learn new laboratory management
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, theoretical statistics, or related fields. Applicants should have a solid background in probability and statistics/machine learning. The postdoctoral fellow will be mentored by Alexander Rakhlin (MIT). We will