The Montefiore AI for Science lab (University of Liège, Belgium) invites applications for a PhD position in the field of simulation-based inference for particle physics. The selected candidate will work under the supervision of Prof. Gilles Louppe, on the development of simulation-based inference methods tailored for particle physics at the LHC. Research topics include unfolding with deep generative models, developments towards efficient, accurate and reliable likelihood (ratio) estimation, integration with particle physics simulators (e.g., MadMiner), as well as the broader development of Frequentist simulation-based inference outside of the LHC context.

The position is part of a larger PDR-WEAVE project funded by the Belgian F.R.S.-FNRS and the German DFG on "Ultra-Fast Event Generation using Neural Networks", in collaboration with Prof. Fabio Maltoni (UCLouvain, Belgium) and Prof. Tilman Plehn (Heidelberg University, Germany). The position is based at the University of Liège, Belgium, and is funded for 4 years. Close collaboration with the other partners of the project is expected, including regular visits and the possibility of a joint PhD degree.

Application: Please send a resume and a short motivation letter to Prof. Gilles Louppe (g.louppe@uliege.be). The position is open until filled.

Profile: Master degree in Physics, Mathematics, Computer Science or Data Science. A high interest for fundamental physics, statistical inference, and deep learning is required. Experience with particle physics, likelihood-free inference, and/or deep generative models is a plus.