Job description

PhD Fellow in Machine Learning.

My research is about how deep learning models behave and what they learn. Primarily this is done using elements from information theory and statistical mathematics. I have a background from computational astrophysics where I used machine learning techniques in an attempt at finding relativistic effect in the large scale structure formation of the Universe, via simulations.