Research Assistant in Observational Cosmology | Research Assistant (m/f/x) in Observational Cosmology (NRW FAIR Network)

Job Summary

This role involves applying advanced AI and machine learning techniques to analyze vast and complex astronomical datasets and simulations. The successful candidate will actively contribute to the Euclid and LSST projects, focusing on measuring and simulating cosmic shear, galaxy-galaxy lensing, and galaxy clustering using current imaging data. A key aspect of the position is the calibration of shear and redshift measurements. This is an exciting opportunity for a researcher with a strong background in astronomy/astrophysics and hands-on experience with AI methods, optical/infrared sky surveys, and weak gravitational lensing, offering a chance to contribute to cutting-edge research in observational cosmology.