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Science, Industrial Engineering, or a closely related field by start date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical
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design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
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design theory that facilitates multi-objective, multi-disciplinary optimization of data center design considering location, building operations, materials, energy use, water use, cooling system design, and
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. The researcher will also design data-driven numerical approaches to address a variety of real-life optimization models including disaster and emergency logistics, supply chain and transportation. Specific
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, cold chain logistics, and sustainable packaging systems, addressing critical challenges in product protection, supply chain optimization, and distribution system efficiency. We seek a highly motivated
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually. Required Qualifications • PhD in agricultural and
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform
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: Initiate and maintain cell cultures Prepare and maintain biological stocks Maintain proper lab and experimental records, both digital and hard copy Test, optimize, troubleshoot new and existing methods and
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product