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efficient and safe trajectory planning in safety-critical scenarios. For this purpose, we focus on modeling and quantifying risks in order to subsequently incorporate them into trajectory planning. The goal
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of the research; participation in lectures, workshops and summer schools according to the guidelines of the RTG curriculum; supporting scientific graduation work (Bachelor/Master) in the subject-specific research
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communication, time-management skills, commitment to laboratory safety & handling laboratory equipment with care, and strong willingness to cross the borders between biophysics and food-related research. We
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E13; 65%) and including social security, health insurance and several employee benefits. The position is based at TUM’s School of Life Sciences in Freising, approx. 30 minutes north of Munich. Our
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- Close cooperation with project partners from academia and industry - Publication of research results in leading journals - Supervision of student projects as well as cooperation in lectures - General lab
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project partners from academia and industry - Publication of research results in leading journals - Supervision of student projects as well as cooperation in lectures - General lab management and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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failure mechanisms. The performance of the developed methods will be evaluated using real operating data. In addition, it will be investigated how reliability and safety conditions can be taken into account
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in