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and optimizing building designs will be developed. The goal of this project is to develop a methodology for automatically checking building designs against regulations, and then provide reasoning about
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complex transport systems: Perception: Developing robust models to handle noisy, complex spatiotemporal data, integrating physical constraints, and generalizing from limited labels. Decision: Designing
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robotic sample retrieval system that will be able to obtain surface swabbing samples of critical infrastructure buildings for chemical or biological analysis. The cohort of PhD students are spread around
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the subject ‘2025-Control-PhD’. Positions are available starting immediately. Applications may be considered until the position is filled. Diversity: We are determined to build an inclusive culture
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20.05.2025, Wissenschaftliches Personal A PhD position is available at the high-tech startup lifespin GmbH in Regensburg in a collaboration with the Technical University of Munich (TUM) and the
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Chair of Biological Imaging 11.07.2023, Wissenschaftliches Personal We now seek a highly qualified and motivated PhD student (f/m/d) to design, develop, and test novel optoacoustic sensing platforms
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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12.10.2021, Wissenschaftliches Personal For our team, we are looking for a full-time PhD candidate on the topic of “Automatic Recognition of building attributes”. For our team, we are looking for a
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include: Literature research Designing, implementing, and evaluating novel machine learning approaches to retrieve buildings in 3D, building settlement types, and distribution of construction sites at very
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quality control tools for distributed models, and iii) robustness to data and model poisoning attacks. In this context, we are looking for a PhD Candidate who has a strong background in machine/deep