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Postdoctoral positions at Texas A&M University

Candidates are sought for multiple postdoctoral positions in the Department of Materials Science and Engineering at Texas A&M University in the following three areas:

Multiscale materials modeling. Expertise bridging across length scales is preferred (e.g. linking atomistic and phase field models, crystal plasticity and continuum models, etc.)

Metal processing. Expertise in processing of multiphase metal composites is preferred (e.g. by severe plastic deformation, metal additive manufacturing, etc.).

Postdoc positions at MIT's Department of Materials Science and Engineering

Postdoctoral positions are currently available at MIT's Department of Materials Science and Engineering for individuals with a strong background in atomistic materials simulations (both classical potential or first principles). Projects will focus on properties of heterophase interfaces and amorphous materials. There are no citizenship requirements associated with these positions. A Ph.D. in Materials Science or related field completed within the past 5 years is required.

Postdoc positions at MIT's Department of Materials Science and Engineering

Postdoctoral positions are currently available at MIT's Department of Materials Science and Engineering for individuals with a strong background in materials simulations. Experience in atomistic methods (both classical potential or first principles) or mesoscale methods (e.g. phase field or dislocation dynamics) is preferred. Projects will focus on several different aspects of grain boundary and heterophase interface properties in metals. There are no citizenship requirements associated with these

Open Postdoctoral Position in In-situ Transmission Electron Microscopy at MIT

Open Postdoctoral Position in In-situ Transmission Electron Microscopy

Department of Materials Science and Engineering, MIT

 

Postdoctoral position at MIT on inverse problems in multiscale materials modeling

One postdoctoral position is currently available for individuals with a strong background in materials simulations—preferably atomistic methods—to develop approaches for solving inverse problems in multiscale materials modeling (i.e. determining what atomic-level structures and compositions yield desired macroscale properties, rather than predicting macroscale properties given atomic-level information). These methods will be applied to the design of radiation resistant nanocomposites in collaboration with an Energy Frontier Research Center (EFRC) at Los Alamos NL.

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