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high-quality research on interpretable and learning-based stochastic optimal control for over-actuated electric vehicles, with a focus on ensuring robustness and fail-safe operation. You will: - Develop
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for real-time decision-making and optimization under uncertainty. Develop techniques for computationally efficient mixed-integer stochastic optimization. Investigate the interplay between energy consumption
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to develop your scientific skills and concepts and effectively communicate the results of your research both verbally and in writing. This position also involves teaching at Chalmers’ undergraduate level
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