Full Professor in Computer Vision

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic 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 & Applications.

Your role

Are you an established leader with a track record of conducting cutting-edge research in Computer Vision? Do you publish in top-tier Computer Vision and Machine Learning conferences? Do you have extensive experience working with industry on applied projects? Are you a passionate leader with a people-oriented approach? Do you enjoy diverse multi-cultural environments?

If yes to all, then this position could be for you.

The successful candidate will conduct top research in close collaboration with public and private partners and engage in European and international projects. The candidate is an internationally recognized scientist in the field, will lead a research team at SnT, and will engage in interdisciplinary research, as well as in outreach activities.

The mission is (but not limited) to :

• Lead an international research group in Computer Vision, sustained by competitive research and innovation funding
• Lead and develop excellent research and technology transfer creating impact at national and international levels
• Define and lead strategic research areas creating societal impact in Luxembourg
• Lead the definition, acquisition, and management of research projects spanning long-term research to demand driven innovation projects from diverse sources, partnerships, European / International / National research agencies
• Advise and support PhD candidates in their thesis research
• Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching activities of the group
• Build and manage strategic relationships with international / industrial / public partners
• Disseminate scientific results in top conferences / journals
• Establish systematic and structured approach to knowledge transfer through collaborative research with private and public sector actors
• Take responsibility for all aspects of the research strategy, operations and management

Contact : Prof. Dr. Yves LE TRAON, Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) Email :

Your profile

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

How to apply

Submit application online including :

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 30.09.2025.

General Information :

Gender equality :

The University of Luxembourg is committed to achieving gender parity among its academic staff and aims to eliminate obstacles to recruitment of female professors and their career development. Should candidates present equivalent CVs, preference will be given to female candidates in all departments where gender parity is not yet achieved. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.