Associate Professor or Assistant Professor in Machine .... (m/f)
Université du Luxembourg
| Company | Université du Luxembourg |
| Category | Education |
| Location | LU |
| Remote | — |
| Employment | Full-time |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 29 Jul 2026 |
| Last verified | 11 Aug 2026 |
| Source | Public employment agency (eures) |
Description
Associate Professor or Assistant Professor in Machine Learning and Foundation Models (Valid from 22/07/2026 to 06/01/2027) Language: English (UK) Location Esch-sur-Alzette Country: Luxembourg Organisation data: Department of Computer Science Job Number: UOL08383 Contract Type: Professorial - Permanent Schedule Type: Full Time Work Hours 40.0 Hours per Week Expected Start Date: 01/06/2027 Job (internal): Assistant Professor Functions: Associate / Assistant Professor Role Type: Open Position Expertise: Professors Job Level: Monolevel About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine (FSTM) 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 research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and the environment we live in. Within the FSTM, the Department of Computer Science (DCS) conducts cutting-edge research and offers high-quality education in core areas of computer science, with particular strengths in artificial intelligence, information security, and advanced computing systems. DCS promotes interdisciplinary research and closely cooperates with other high-profile research centers in Luxembourg and beyond, as well as with industry and society. The faculty entertains various successful and growing teaching programs and supports lifelong learning activities. Your role As a professor in the Department of Computer Science, you will: • Lead research in your area of expertise, with a focus on machine learning and foundation models, and have the opportunity to establish and grow your own research group within a collaborative environment • Collaborate actively with colleagues across the department, the university, and national research institutions, benefiting from Luxembourg's dynamic and well-funded research ecosystem • Contribute to teaching at all levels - e.g.: Bachelor, Master, and Doctoral -, designing and delivering courses in your field of expertise • Supervise and mentor PhD and postdoctoral researchers, and support their development through seminars and related activities • Participate in shaping the department's research and educational agenda For further information about the role, please contact: Prof. Jean-Sébastien Coron, Head of the Department of Computer Science, Email: [email protected] Your profile The Faculty of Science, Technology, and Medicine (FSTM) seeks a candidate with: • A PhD degree in Computer Science or a closely related field • A research track record in Artificial Intelligence, with an emphasis on machine learning and an openness to interdisciplinary collaboration — both within academia and with industry partners • Expertise in one or more core areas of machine learning and foundation models, such as deep learning, representation learning, probabilistic modeling, reinforcement learning, optimization for learning, trustworthy and efficient machine learning, or foundation models including large language and multimodal models. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation • Publications in top-tier computer conferences and journals related to AI and machine learning, including but not limited to NeurIPS, ICML, ICLR, JMLR, CVPR, ICCV, ECCV, IJCV, TPAMI, ACL, EMNLP, KDD, AAAI, IJCAI, ECAI, COLT, UAI, AAMAS, AISTATS, TACL, SIGIR, WSDM, Web Conference • Experience in teaching Computer Science topics at undergraduate, graduate, or postgraduate levels and willingness to contribute to the department's teaching and administrative missions Language requirements: The University