The STAR Institute at the University of Liège, Belgium invites applications for a postdoctoral researcher position to work with the OGrav group, starting on November 1, 2026, or as soon as possible thereafter.
The postdoctoral researcher will focus on deep-learning-based Newtonian Noise subtraction for the Einstein Telescope. The work will include the development, implementation, and in-situ tests of the method on the E-TEST prototype developed in Liège by Prof. Christophe Collette. The successful candidate will also collaborate with members of the Applied Geophysics (APGEO) group led by Prof. Frédéric Nguyen, and the Belgian gravitational-wave community (GraviBel/BelGrav).
QUALIFICATIONS REQUIRED / PROFILE
- A PhD in science, engineering, applied sciences, or a related field;
- Strong knowledge of machine-learning and deep-learning methods and practical experience with modern machine-learning tools;
Applicants must not have spent more than 24 months as residents of Belgium over the last 3 years.
SELECTION PROCEDURE
The selection procedure will be in accordance with the regulations of the University of Liège. Our institutional policy is based on diversity and equal opportunities. We select candidates on the basis of their qualities, regardless of age, sexual orientation, origin, beliefs, disability or nationality.
APPLICATIONS
Applications should be sent to maxime.fays(at)uliege.be, specifying the reference number of the post.
DOCUMENTS REQUIRED
- A motivation letter;
- A complete curriculum vitae;
- A complete publication list;
- A short report on previous and current research activities;
- Two letters of recommendation, to be sent directly to the above address.
RECRUITMENT CONDITIONS
The position is allocated for 2 years and may be extended to a third year in exceptional cases.
The position includes support for travel to collaboration meetings, workshops, and conferences, with an indicative travel budget of approximately EUR 3,000 per year. Recent comparable postdoctoral contracts at the University of Liège corresponded to a net salary of approximately EUR 2,900 per month, depending on personal circumstances and applicable tax and social security rules.
INFORMATION
Any information concerning the nature of the tasks can be obtained from Prof. Maxime Fays maxime.fays(at)uliege.be