Leiden Observatory and the Leiden Institute of Advanced Computer Science (LIACS) aim to appoint a 3-year postdoctoral fellow in Artificial Intelligence (AI) applied to Astronomy. The fellow will be expected to engage in collaborations between these two departments and to create new innovative opportunities for cross-disciplinary research in AI, as well as provide world-class training in AI at Leiden Observatory.
We seek candidates with a background in Artificial Intelligence and/or Computer Science, with a record in collaborative work, or a demonstrable interest, in the area of Astronomy. The successful candidate will have a strong involvement and/or interest in applying novel machine learning and data science techniques across Astronomy research and is expected to carry out ground breaking research in this field. They will have the unique opportunity to contribute to the fostering of cross-disciplinary collaborations between Leiden Observatory and LIACS and in strengthening the existing training programmes in AI. The successful applicant will have a PhD in Computer Science, or related field, and a strong record of publications in leading academic journals. The Leiden Observatory has a broad diversity of data collections, including simulation (time-series) data and observational data. The exact topic of the research is flexible, both in underlying AI technologies and in their applications in Astrophysics.
Leiden University is a lively world-class University in a charming town with easy connections to other European countries.
The appointment will be at the level of postdoc based on the career level of the candidate. Salary ranges from € 2.836,- to € 4.474,- gross per month (pay scale 10), in accordance with the Collective Labour Agreement for Dutch Universities.
Application
Please submit your application no later than 15 January 2022 via
https://jobs.strw.leidenuniv.nl/2021/VitiPDAI
Please make sure that you attached a CV, a list of publications, a maximum 2-page research statement, and that you arrange for 2 references to be submitted by the same deadline.
