Research areas in the programme
Training: Key features
- Integrative approach outside of the constraints of traditional subject barriers.
- High-quality supervision by internationally recognised professors, group leaders and research scientists.
- A varied range of training courses that can be tailored to the needs of the doctoral candidate.
- Situated within the broader structure of the Doctoral School in Science and Engineering (link through).
- Access to state of the art high-performance computing facilities.
- Annual retreat of two days including team building and poster session.
- Strong links with local industry allowing for secondments.
- Possibility of personal professional mentoring.
- Compulsory training on Ethics in Data and Artificial Intelligence.
- Dedicated to Open Data, Open Science and Open Source.
Admissions
Are you eligible to start the admission process in this Doctoral Programme?
You are eligible to apply for admission to doctoral studies at the University of Luxembourg if you hold a Master’s degree or equivalent, as defined in the law.
You need to hold a Master’s degree in exact sciences, natural sciences, computer sciences or engineering sciences.
For any other information not related to the admission process, please contact one of the administrators or the programme coordinator.
Contact
Would you like to get first-hand information about the experience of Doctoral Candidates of our programme?