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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
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compounds, etc. The project will focus on the i) development of membrane filtration systems and operation with novel nanofiltration membranes, ii) examination of the physical/chemical processes inside
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. The candidate will collaborate in an international research team on related topics in probabilistic modeling, uncertainty quantification, and high-performance computing, with applications in the natural and
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simulations (in collaboration with a postdoctoral researcher) Evaluation of localisation results with regard to physical plausibility and accelerator operation Visualisation of extracted parameters and
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the Research Training Group "AirMetro - Technological & Operational Integration of Highly Automated Air Transport in Urban Areas" (RTG 2947) , funded by the German Research Foundation (DFG
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expertise in high-performance computing and we also use unique scientific infrastructure. Shape the change with us and join our team! HITEC (Helmholtz Interdisciplinary Doctoral Training in Energy and Climate
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will be provided by collaboration partners. The position is a part of the project “Biotechnologie-Innovationen für High-End Immuntherapien und Theranostik” (BIOFIT; 2025-28) funded by the EFRE (European
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guiding principle of developing technology for people. The TU Hamburg sees itself in this context as a family-friendly and sustainable university with high performance and quality standards that strives
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(varying grinding and flotation conditions); collect and curate high‑frequency time‑series data Train particle‑based separation models (PSMs), linking micro‑structural descriptors to flotation performance
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industry. The center offers an excellent working environment with access to state-of-the-art technologies and an outstanding high-performance computing infrastructure. For TUD diversity is an essential