Postdoctoral positions on Data Science with LSST at Stockholm University

Stockholm University is searching for outstanding individuals to conduct original research on modelling and/or analysis of photometric datasets for dark energy studies using statistical inference and machine learning methods. The project is funded by a Wallenberg Foundation research project grant to Hiranya Peiris, Jens Jasche, Ariel Goobar, Jesper Sollerman, and Matthew Hayes. The positions are focussed on our involvement in the Legacy Survey of Space and Time (LSST) and the LSST Dark Energy Science Collaboration, preparing for upcoming data from the Vera C. Rubin Observatory.