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: jean-
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 of Luxembourg is set in a multilingual and multicultural context. The person hired on this position must be proficient in English. Proficiency in French or German is considered an advantage. The University actively supports language development among its staff and offers access to language courses to this end.
We offer
- A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
- An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
How to apply
Applications should include:
- Cover letter, to be addressed to Pascal Bouvry, Dean of the Faculty
- Curriculum Vitae; you may include any periods of absence from work, such as family-related leave or career breaks, if you consider them relevant for the fair assessment of your experience
- Short description of profile, key achievements and impact, summarizing main publications, projects, teaching expertise and accomplishments in knowledge transfer relevant to this role (1-3 pages)
- Statement of planned research, teaching and other activities at the University of Luxembourg (1-3 pages)
- Lists of publications, research projects, PhD theses supervised and subjects
- Names, contact information and current position of 3 referees who can, upon request, provide an assessment of the application. Please indicate their relationship to you
We encourage early application. Applications are only accepted online through the HR system. The position will be unposted on 30th September 2026, after which no further applications can be submitted. Applications will be handled in strict confidence.
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
General information:
- Contract Type: Professorial - Permanent This position is offered at the Assistant Professor or Associate Professor level, depending on qualification. Both positions are tenured.
- Work Hours: Full Time 40.0 Hours per Week
- Location: Belval Campus
- Internal Title: Assistant Professor
- Job Reference: UOL08383. The reference should be mentioned in all correspondence
- Starting date: 01.06.2027 or as soon as possible thereafter
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