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partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program. This PhD project aims to develop an analysis tool for the optical ground-to-satellite links
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Knowledge of electronics, programmable logic, and processing systems is an advantage Strong analytical and programming skills are required (Python, VHDL, Matlab, and C/C++). Prior proven experience in data
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optimization and simulation models. Skills in a major programming language such as Python A collaborative team player with a desire to make a personal impact within our interdisciplinary research group and our
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models or forecasting and econometric analysis Proficiency in one of the major programming languages such as Python A collaborative team player with a desire to make a personal impact within our
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the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost
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in a dedicated training plan For further information, please contact Prof. Marcus Völp at critix- Your profile Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with
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Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support
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considered a strong asset. Experience with cybersecurity and programming. Communication Skills: Proficiency in written and oral English (French is considered an advantage) Good academic writing Strong interest
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conferences Contribute to reports and research activities in support of project management Guide M.Sc. students Participate in a dedicated training plan For further information, please contact Prof. Marcus Völp
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/electrical engineering, or a related field.Strong interest in automation and laboratory robotics.Basic experience in wet-lab microbiology techniques.Willingness to learn programming and computational analysis