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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 1 month ago
with advanced statistical techniques (optimal Bayesian, Markov Chain-Monte Carlo, etc.) to solve the forward and inverse problems involved. Additional information about AGAGE, CS3, and MIT atmospheric chemistry
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Kansas. The ideal candidate would have strong technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated
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models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial
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Professor Fei Lu and Bloomberg Distinguished Professor Mauro Maggioni on topics including mathematical foundations of data science and statistical/machine learning, with an emphasis on inverse problems and in
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technical skills for working with AEM data and models, including physically based forward and inverse modeling of AEM survey responses, and demonstrated experience in doing so. This position is based
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expertise in several of the following areas: inverse problems, statistics, optimization, uncertainty quantification, and/or computer vision/machine learning. Strong foundation in at least one of: numerical
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, geophysics, or a related field. The candidate must have a strong background in solid mechanics, inverse problems, and wave propagation. Knowledge of poromechanics is preferred but not required. Also of
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wave solvers, experience with tomographic inversion problems, and experience with image reconstruction methods for photoacoustic computed tomography and ultrasound tomography. Job Description Primary
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experiments; and interact broadly with research groups at MIT, CFS and the broader fusion community. Job Requirements REQUIRED: A PhD in plasma physics or related area; exceptional computational workflow
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, computational physics, computational materials science, inverse problems, signal processing, x-ray science etc. are encouraged to apply. Position Requirements PhD completed in the past 5 years or soon to be