35 professor-computer "https:" "https:" "https:" "https:" "https:" "Dr" PhD positions in Luxembourg
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within the project AI4TECS Writing a doctoral dissertation in computer science Publishing research findings in leading international conferences and high‑impact journals in AI, machine learning, and
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join the Theoretical Chemical Physics group led by Prof. Alexandre Tkatchenko, supervised by Dr. Igor Poltavskyi, working on: As a Ph.D. candidate, you will work on a cutting-edge, multidisciplinary
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at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing industry actors with practical tools. The team you will be working with: Dr. Maxime Cordy
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platforms Adapting and applying traditional software engineering principles to quantum computing platforms PhD Student Role: Under the direction of a professor, the candidate will carry out research
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infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following
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The Department of Finance at the University of Luxembourg invites students to apply for Doctoral researcher positions in Finance. The program follows the standard international format with rigorous
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to the project outcomes. The Doctoral researcher will be supervised by Prof. Viti, and will be enrolled to the Doctoral School in Sciences and Engineering (DSSE). The supervision will also be supported by Dr. Ma
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assessment instruments are combined to gain a differentiated insight into family influence processes. The project is led by Prof. Dr. Anna Kornadt (Uni Luxembourg), Prof. Dr. Michaela Riediger and Dr. Antje
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administrative tasks within the department (up to a limited percentage of time) For ruther information about the role please contact Dr. Carolina Catunda: carolina.catunda@uni.lu
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! Education · PhD in computer science, engineering, applied mathematics, physics, or another STEM discipline. · Demonstrated experience with mathematical and numerical optimization methods