Postdoc position in Machine Learning applications

Post information

Applications are invited for a Postdoctoral Fellow position at the Astro group of the theoretical physics department, UAM, supported by the AEI's Consolidación Investigadora 2024 award "The Converging Loop System (CLS) pathfinder: independent and accurate cosmology model/parameter constraints with machine learning" led by Dr Weiguang Cui.

The successful candidate will join our active machine learning group at DFT, work with Dr Weiguang Cui and his collaborators on applying ML techniques in Astronomy and cosmology studies with the primary goal of contributing to this CLS project. The successful applicant is also encouraged to collaborate with other experts and contribute to other projects both locally and globally. They are expected to help produce independent and original research and submit publications to refereed journals. We encourage all the candidates sharing similar interests to apply, however this position requires a PhD degree, which is regulated by the government law. Please find the detailed information below for this application and feel free to contact Dr Weiguang Cui by emailing [email protected].

Research Environment

The DFT covers a very broad spectrum of research from particle physics to all astronomy researches: planet, stars, galaxy, large-scale structure and cosmology. Especially interesting for this ML study, on simulation side,  we are the host of the300 project, key nodes of MultiDark, CLUES and the SIMBA project etc.; on the observation side, we get involved with CTA, DESI, Euclid, CALIFA etc. More important to this post, we also host a small 4-GPU server with over 1PB disk space locally which is free to use. Though we are a small group on ML applications, we do have the cutting-edge technologies/models with our research focusing on the most front lines in astronomy with several outstanding publications.