42 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at University of Luxembourg
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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profile A PhD degree in Electrical Engineering, Computer Science, Applied Mathematics, Robotics, or a related field A competitive research record in one or more of the following disciplines: computer vision
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program, H2020 program and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu The SigCom research group carries out research activities in the areas of signal
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the field, with a strong track record of internationally competitive research in line with expectations for the respective career stage. PhD in Computer Science, Mathematics, or Engineering Research expertise
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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the University’s mission in academic continuing education, staff development and training for Luxembourg, with strong expertise in digital learning. Reporting to the future Head of ULCC, the Study Programme
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2027 - 03:24 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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The Research and Development Specialistwill be a member of the Department of Geography and Spatial Planning (https://dgeo.uni.lu ), joining the Economic Geography team of Prof. Christian Schulz
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Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 - Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila
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computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a