About us
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Faculty of Science, Technology and Medicine (FSTM) 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, to better understand, explain and advance society and the environment we live in. The main part of the University is situated in Esch-Belval, a new and modern campus in a unique environment with excellent public transport connections.
The Department of Computer Science (DCS) investigates and contributes to shaping the interface between information and communication technology and society. DCS promotes interdisciplinary research and closely cooperates with other high-profile research centres in Luxembourg and beyond, as well as with industry and society. The faculty entertains various successful and growing teaching programmes and supports lifelong learning activities.
Your role
To strengthen and diversify the existing skills and expertise in the Department of Computer Science, the successful candidate will:
* Develop and perform research in Computer Science and establish a research group
* Seek cooperation with researchers within the department and across faculties, centres, and external research institutions in Luxembourg
* Contribute to the teaching missions of the department at various levels (Bachelor, Master, PhD) and provide lectures for bachelor and master programmes
* Advise PhD candidates and contribute to doctoral and postdoctoral training (e.g., organising research seminars, reading groups, winter and summer schools)
For further information about the role, please contact Prof. Dr. Jean-Sébastien Coron, Head of the Department of Computer Science, Email: jean-
Your profile
* A PhD degree in Computer Science or a closely related
* A research track record in Artificial Intelligence, with an emphasis on Generative AI and a demonstrated openness to interdisciplinary collaboration both within academia and with industry partners
* Expertise in one or more core areas of Generative AI, such as Large Language Models (LLMs), Generative Adversarial Networks (GANs), diffusion models, neurosymbolic methods, or other emerging directions within machine learning. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation. Relevant application areas may include (but are not limited to) natural language processing, multi-modal learning, human-computer interaction, or generative AI for science and education
* 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
* 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 and either French or German. The University encourages its staff to learn the other language and provides 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 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, NGOs, …
* Attractive salary and benefits packages with excellent opportunities for external funding. Support for career development and mentoring. Services to promote staff well-being and a healthy work-life balance
How to apply
Submit application online including:
* Cover letter, to be addressed to Prof. Dr. Jean-Sébastien Coron
* Detailed CV, including periods of absence from work (or where the effect has been equivalent to absence) including family-related leave and career breaks
* Complete list of publications
* List and short description of research projects acquired over the past 5 years
* List of PhD theses supervised
* List of teaching activities over the past 5 years
* Statement of research, teaching and other activities planned at the University of Luxembourg
* The names, contact information and present position of 3 referees who can, upon request, provide an assessment on the application. Please indicate their relationship to you
All applications will be handled in the strictest confidence. Applications by post or e-mail cannot be considered. We encourage early application. To ensure full consideration, candidates should apply by 20 November 2025.
General Information:
* Contract Type: Fixed-term contract - 5 years (tenure track), with a perspective of a permanent position and promotion to Associate Professor upon a positive evaluation. In the case of an excellent, more senior candidate, a direct appointment at the level of Associate Professor with a permanent contract may be considered.
* Work Hours: Full Time 40.0 Hours per Week
* Location: Belval Campus
* Job Reference: UOL07690 (to be mentioned in all correspondence)
Gender equality:
In line with our values, the University of Luxembourg encourages an inclusive culture. We promote equality of opportunity, diversity and a working and learning environment in which the rights and dignity of everybody is respected. The University is committed to achieving gender parity among its academic staff. Should candidates present equivalent CVs, preference will be given to female candidates in all departments where gender parity is not yet achieved.