Mobility experience with a research focus
Master students involved in the final research; PhD sandwich; Post Doc
Department of Physics and Astronomy
The visitor will be part of the ECOGAL group at UniBo, where students and postdocs with a diverse background develop and apply machine learning techniques for the analysis and interpretation of large astrophysical datasets.
Some examples of the activities that can be carried out in this context include the application of conditional Invertible Neural Networks for the extraction of astrophysical parameters from large spectroscopic datasets in the optical/infrared and submillimetre, the development of techniques to reduce the model gap and the effect of data noise in these applications.
English
Advanced python skills mandatory, previous experience with Machine Learning techniques or astrophysical spectroscopy is desired.
Master Research: 6-12
PhD sandwich: 6-12
Post Doc: 6-12