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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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balance privacy and data protection with data utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers
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to have a background in engineering and/or an affinity for mathematical modelling and sustainability assessment methods such as life cycle assessment. Affinity with pharmaceutical manufacturing or chemical
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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students who are eager to develop and apply artificial intelligence techniques and mechanistic mathematical models to explore fundamental questions in biology. The PhD program is organized in partnership
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mathematics. You have experience working with data on inequality or poverty and have experience with survey experiments. You are proficient in spoken and written English. What we offer We offer a doctoral
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, storage and demand. YOUR TASKS You will develop mathematical models and metaheuristic algorithms for complex optimization problems in the context described above, see e.g., https://arxiv.org/abs/2503.01325
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will be working in both groups (50% at UAntwerp, 50% at KU Leuven ) for the full duration of this project, who will be closely assisted by two postdoctoral fellows, based respectively at A-PECS (UAntwerp
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Postdoctoral Researchers working on related topics of European (Criminal) Law and human rights. In particular, the PhD candidate may be involved in ongoing research projects on European sovereignty ("Chaire
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(structural integrity monitoring) and Dr. Francisco de Nolasco (graph neural networks). Additionally, you will be part of large and vibrant group of doctoral and postdoctoral researchers (∼20) involved in both