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diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by July 15, 2025ONLINE formally through the HR system. Applications by Email will not be...
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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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institutions within Luxembourg. The PhD student will be enrolled in the Doctoral School in Science and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in
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and Engineering at the University of Luxembourg, and follow a vibrant PhD program that includes training in transferable skills, support for career development, lectures and teaching by international
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learning models) in these tasks. These investigations include the feasibility, practicality and success evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative
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, please contact Dr. Maxime Cordy Your profile Master in Computer Science. Major in machine learning or software engineering is an asset Strong programming skills Strong analytical skills Industry experience
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paradigm for quantum optimization with quantum computing (QAOA, Quantum annealing, etc.) Knowledge of quantum computing SDKs such as Qiskit or Pennylane We offer Multilingual and international character
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of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering, or Computer Science/Engineering. Experience: The candidate should have strong digital signal processing and
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into this material and support tailoring its properties. For this, you will: Contribute to method development for ultra-fast MLIPs (Xie et al., npj Comput. Mater., 2023) Develop realistic MD simulation protocols