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data, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI. In teaching, the position will contribute, inter alia
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intelligence, and high-performance computing to study metabolic networks and optimize microbes for biotechnological applications. The PhD project aims to predict the optimal compartmentalization of a production
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candidates with expertise in Operations Research, Management Science and Business Analytics with a focus on fundamental research in combinatorial and stochastic optimization for business applications. In
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techniques. The ideal candidate will have prior exposure to modern developments in at least one of these fields: Optimal Transport, numerical analysis of PDEs, functional analysis, mathematical foundations
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of PDEs, mathematical foundations of deep learning, optimization, approximation theory, measure theory. You can find more information about our research area and our team on the website: http