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Field
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optimization models for electric vehicle fleet charging planning. Activities: • Apply operations research methods (linear and mixed-integer programming, dynamic optimization, stochastic optimization) • Integrate
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, University of Skövde. One of VE's main visions is to contribute to a "viable society" by developing future production systems, optimizing manufacturing methods and prioritizing human-centered design in
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-PIP-2026-Guenther How to Apply A complete application consists of: An application, including academic history, work history experiences, and honors/awards Description of your goals, related experience, and related...
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc-2026-Guenther How to Apply A complete application consists of: An application, including academic history, work history experiences, and honors/awards Description of your goals, related experience, and related...
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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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pavement networks. This position will focus on modeling and optimizing pavement performance under evolving climate and hazard conditions. This position will advance modeling of pavement life-cycle
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staff position within a Research Infrastructure? No Offer Description Activities and context The Post-Doctoral researcher will focus on the numerical simulation and optimization of supersonic separators
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Description Job description Game theory is rapidly gaining traction in several engineering applications as the natural framework for multi-agent decision making. Yet, unlike optimization, game theory has
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testing. A campaign layer, driven by Bayesian optimization, decides which experiment to run next. The postdoc will own the system architecture below that layer: the PLC and instrument control, the software
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and power (CHP), and application-specific energy storage systems. We are also exploring how quantum computing can unlock new optimization and control strategies in future power systems. Our projects