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the programme. Current information Please check our website for information on current research subjects: https://www.enwat.uni-stuttgart.de/application/ Course organisation The programme is structured into two
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consisting of experienced researchers offers systematic guidance to each student. Annual reports guarantee an optimal supervision of the progress of the projects. Scientific retreats, international meetings
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delays, thus ensuring an optimal graduation time of four years for PhD candidates. Thanks to the close ties with the research environment of the transregio, one of the leading thoughts is the
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meet each candidate's scientific background and interests. This guarantees an optimal level of preparation for a high-profile career in research or industry. Course organisation In
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frontier research in the social and behavioural sciences. Our doctoral candidates benefit from a structured training programme of courses and research seminars / colloquia, which provide them with the tools
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contribute Strong understanding and practical experience in software development and design. Proficient in abstract and structural thinking, with the ability to solve complex problems. Excellent programming
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+ Tübingen Structural Microscopy (TSM) Research Data Management (RDM) Core research Back Profile areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster
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to the answer to this question is an intelligent, central control unit that orchestrates future autonomous vehicle fleets, optimizes road traffic, clears the road in the event of a disaster, switches traffic
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Autonomous Challenge or EDGAR . Thereby, we research current problem fields in the areas of perception, planning, control, safety and evaluation. Our goal is always to develop the optimal overall software
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through