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) and contribute to LU-PCG’s research under the U.S. Department of Energy’s (DOE) GENESIS Mission. Research will involve developing fast neural surrogate models, state estimators/virtual sensors, multi
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the development of proposals and identifying funding opportunities. Participate in departmental seminars, workshops, and other events, engaging with the academic community. Qualifications: Doctoral degree (or near
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of all application materials to Prof. Eugenio Schuster, Director of LU-PCG, via e-mail ([email protected] ). Applications will be reviewed on a rolling basis until the position is filled. About
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). Qualifications: PhD in Electrical Engineering, Control, Applied Mathematics, or related field (completed or near completion) Strong publication record in top-tier journals or conferences in power systems, control
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. Participate in departmental seminars, workshops, and other events to engage with the academic community. Qualifications: Doctoral degree (or near completion) in cell biology, molecular biology, genetics
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contexts for broader questions about environmental transmission, system resilience, and the real-world performance of public health interventions. Position Number: S62610 Anticipated Salary: $70,000