89 power-systems-"https:"-"https:"-"https:" Fellowship positions at Michigan State University
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, Electrical Engineering, Power Electronics and Power Systems, Automation, Chemical Engineering, or a closely related field by the date of appointment. Doctoral research experience in one or more relevant
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electromagnetics applications. Primary responsibilities in this role include Leading development and implement state estimation and fusion algorithms for RF and robotic systems Lead implementation of
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systems • Develop analytical and computational models related to optimization, AI-enabled workflow design, and stochastic assembly line balancing • Collaborate with faculty, doctoral students, and industry
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Position Summary The successful candidate will work with Dr. Kunlun Qi < https://kunlun-qi.github.io > on research projects related to kinetic equation and its related multiscale model reduction
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Position Summary The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of
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of new approaches for physics-based simulation of molecular motions or their application to biomolecular systems of interest and/or the development or application of computational methods related to
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Position Summary The candidate will develop and apply solid-state NMR techniques to investigate biomolecular, biomaterial, and hard material systems. Equal Employment Opportunity Statement All
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Materials Research Statement Teaching Statement Cover Letter Curriculum Vitae Names and contact information for three references. Review of Applications Begins On 08/18/2026 Website https://www.egr.msu.edu
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investigating new solar energy conversion systems. T he candidate will conduct basic research that includes electrochemical and photoelectrochemical investigations of dye-sensitized solar cell and related
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fungicide resistance, host–pathogen interactions, and disease resistance in turfgrass systems. The role will integrate omics approaches (e.g., genomics, transcriptomics) and bioinformatics to better