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We are offering a PhD student position in machine learning (ML) theory, focusing on new methods for training models with a limited amount of data. The student will be a part of a new NEST initiative
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This PhD position presents a valuable opportunity to explore shared control between humans and vehicles utilizing steer-by-wire systems and to investigate how this approach can enhance vehicle
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establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
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correctly. Project description The goal of this PhD project is to develop techniques for the design and verification of assured ACPS with a focus on runtime assurance. You will develop theory and tools