Applications are invited for one postdoctoral position at the Nicolaus Copernicus Astronomical Center (NCAC), in Warsaw, Poland, to work on a study of stellar radial mixing employing machine learning methods.
We seek a resourceful and creative researcher who can explore and propose new ideas for investigating signatures of stellar radial mixing in large data sets of detailed stellar chemical abundances. The post-doc will also collaborate with other team members on the development of the new chemical analysis system.
Applications are welcome from candidates with strong background in any aspect of observational, theoretical, or computational stellar or Galactic astrophysics. The ideal candidate has solid programming skills, previous experience on the application of machine learning methods to astrophysical data, good communication skills, and the ability to carry out projects independently, while working constructively within a larger team. Previous research experience on one or more of the following topics would be an asset: Galactic archaeology, chemical evolution of the Galaxy, chemical abundances in late-type stars, stellar ages, stellar kinematics, or stellar nucleosynthesis.
The position will be for 2 years. The starting date is to some extent negotiable but could be as early as November 2020.