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is an initiative of the SciTeach Center , a resource center dedicated to supporting the teaching of science at the primary levels in Luxembourg. The successful candidate will both coordinate and
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The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group
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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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diverse backgrounds (e.g., economics, computer science, information systems, engineering, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society
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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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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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A PhD position is available at the Chair for ‘Urban Water Management’ (Prof. Dr. Joachim Hansen), Department of Engineering. The successful candidate will be hired in the frame of the PreWaPharm
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Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. The candidate is, however, welcome to
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All documents should be uploaded in pdf format. Incomplete applications will not be considered. Applications should include: Curriculum vitae Motivation letter outlining the reasons for your application to a PhD and your educational training that prepared you for academic research on the topic...
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We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to