37 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:" uni jobs in Luxembourg
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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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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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below? Are you our future colleague? Apply now! Education A PhD’s or MSc degree in electrical engineering, automation, computer science, or a related discipline, with proven expertise in the operation and
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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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job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Within the Department
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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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The professor is expected to develop and pursue an independent research agenda in the fields of entrepreneurship and digital technologies, with a particular focus on quantitative methods. They will: Produce high-quality research suitable for publication in leading international journals Seek...
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3 Dec 2025 Job Information Organisation/Company Luxembourg Institute of Science and Technology Research Field Engineering Researcher Profile First Stage Researcher (R1) Recognised Researcher (R2
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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