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. You will develop into an expert in the field while growing as an independent researcher in battery technology. About us The main competencies at the Department of Industrial and Materials Science are
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reinforcement learning, robotics, and the development of reactive software systems. It enables the creation of robust, reliable programs by specifying what a system should do, while automatically deriving how it
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and responsible development of the maritime industry. We address the multiple pressures that ships pose on the ocean and try to bridge the gap towards environmental management and marine spatial
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polymers and on the development of spinning processes for manufacturing conducting polymer fibers used in wearable electronics. A summary of the research field can be found in a recent review . Project
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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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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