21 machine-learning "https:" "https:" "UCL" Postdoctoral positions at Massachusetts Institute of Technology in United States
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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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are expected to participate in workshops and seminars and to mentor our Predoctoral Associates. Fellows will also teach one section of an undergraduate course at the intersection of organizations and
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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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guidance. Additional responsibilities include mentoring students and contributing to a multidisciplinary research team. The full job description is available, here: https://acrobat.adobe.com/id
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, is available at https://agage.mit.edu, https://cs3.mit.edu,and https://atmoschem.mit.edu. Job Requirements REQUIRED: Ph.D. in atmospheric physics and chemistry, and significant experience in three
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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
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Materials Required: Further Info: https://philosophy.mit.edu Room 32-D808 Massachusetts Institute of Technology 77 Massachusetts Avenue Cambridge, MA 02139
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references. This material should be submitted as a single PDF in the resume field of the application. More information regarding postdoctoral associate positions at MIT is found at http://web.mit.edu