The STAR Institute of the University of Liège is inviting applications for a postdoctoral research position in the field of adaptive optics and high-contrast imaging. This position is open within the PSILab group in the framework of the ERC Consolidator Grant EPIC (https://sites.google.com/site/olivierabsil/research/epic-nnexi), which aims to advance high-contrast imaging techniques with the help of machine learning. The successful applicant will work under the supervision of Drs Olivier Absil and Gilles Orban de Xivry on the development and deployment of predictive control algorithms for the ELT/METIS adaptive optics system. S•he is also expected to contribute to the upgrade of the VLT/SPHERE adaptive optics system, and to explore the application of machine learning techniques to predictive control in a more theoretical framework. The successful applicant is expected to spend about 70% of his/her time on this project, while the rest of the time can be spent on a personal research subject, which should preferably be related to the PSILab research activities (extrasolar planetary systems, high-contrast imaging, adaptive optics, interferometry).
Applicants must hold a PhD in astronomy, physics (optics/instrumentation), engineering, or a related field by the starting date of the position. A strong background in programming is required. Previous experience in control and/or machine learning would be an asset. Applications should include:
- a cover letter
- a curriculum vitae and a list of publications
- a statement of current and future research interests (up to 3 pages)
The application, merged into one single pdf file, should be sent by email to Olivier Absil (firstname.lastname@example.org). Applicants should also provide the names and contact details of three referees who could be contacted for reference letters.
Complete applications received by May 1st, 2021 will receive full consideration. The preferred starting date of the appointment is September 2021, although we would accept starting dates up to early 2022. The appointment is initially for two years, with renewal for a third year contingent upon satisfactory progress.