11 computational-model Postdoctoral positions at Massachusetts Institute of Technology
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 4 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Plasma Science and Fusion Center- The Magnetic Confinement Energy Integrated Modeling (MFE-IM) and SPARC Performance and Transport (P&T), to conduct
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, numerical weather prediction, regional climate modeling, computational fluid dynamics, computer programming, high performance computing, data analysis, and technical writing; ability to work and communicate
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 17 hours ago
controls, low noise electronics, simulation and modeling, finite element modeling, and computer programming. The start date of appointment will be Spring 2026, though there is some room for flexibility
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 17 hours ago
orbital dynamics using analytic and numerical methods, (2) planet formation theory, (3) exoplanet architectures and demographics using statistical methods, and (4) planetary interior/atmosphere modeling
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/supporting applications development and experiment realizations on DIII-D and international tokamaks; support the creation and validation of machine learning models, particularly in areas like plasma
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Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD LAB, McGovern Institute for Brain Research - Dorkenwald laboratory , to develop computational reconstruction, analysis, and modeling
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering, to perform cutting-edge research on projects centered around machine learning models for Computer Aided Design and Engineering
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estimates of the SPG, utilizing high-resolution nested models to improve predictions of climate tipping points. Job Requirements REQUIRED: Ph.D. in Oceanography, Climate Science, Computational Modeling, or a
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Experiment (AGAGE) and a large atmospheric chemistry group at MIT. The work will focus on interpretation of AGAGE observations of greenhouse and ozone-depleting gases using models, measurements, and inverse
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neoclassical tearing modes in metal-wall scenarios; support the creation and validation of machine learning (ML) and hybrid physics + ML models to monitor and control the proximity to stability boundaries