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applies), preferably via the TUD SecureMail Portal https://securemail.tu-dresden.de by sending it as a single pdf file to airmetro at tu-dresden.de or to: TU Dresden,RTG 2947 “AirMetro”, Prof. Hartmut
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. The topics are not limited. Information about the available topics and supervisors can be found under the following link: http://scads.ai/positions2025. The location of work (Dresden or Leipzig) depends
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are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at TU Dresden (see https://tu-dresden.de/ing/maschinenwesen/postgraduales/promotion?set_language=en
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via our online tool will be accepted. The required documents must be uploaded there. https://phdapp.tue.mpg.de/registration/IMPRS_2026_spring
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you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76059
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letter, CV, diplomas/transcripts, etc.), which you can submit via our online-applicationsystem: https://www.hzdr.de/db/Cms?pNid=490&pLang=en&pOid=76156
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to apply for the vacant position. Applications from severely disabled persons will be given preference if they are equally qualified ( sbv.desy.de ). You can find further information here: https
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international facilities (such as synchrotron and neutron sources). Details of the research activities as well as publications and background information are available on the group website: https://www.soft
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. Details of the research activities as well as publications and background information are available on the group website: https://www.soft-matter.uni-tuebingen.de Additional comments The University
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and