Postdoc: Heavy-Ion b-Jet Tagger & QGP Diffusion

CNRS - National Center for Scientific Research; France; On-site; EUR 38,000 - 46,000; Full time

Benefits offered by this job

Dedicated GPU workstation

Travel budget for conferences

Access to computing grid

Job summary

CNRS’ Laboratoire de Physique Subatomique et de Cosmologie (LPSC) in Grenoble invites applications for a first-stage researcher position. The successful candidate will join the ALICE collaboration and lead ML-based b-jet tagging and heavy-ion analyses in RUN 3 Pb–Pb data, with development of a public b-tagging package and close interaction with theory groups.

Three-phase contract (36 months) covers method development, measurement of R_AA and v2, and ultimately the D_s(T) extraction, with access

Qualifications

• PhD in experimental particle or heavy-ion physics.
• Strong programming and data-analysis skills in Python/C++.
• Experience with ML techniques for collider data is a plus.

Responsibilities

• Design, train and validate a b-jet tagger using graph neural networks and RNNs.
• Validate the tagger on pp data and adapt to Pb-Pb collisions.
• Deliver a b-tagging software package and document it publicly.
• Measure R_AA, v2 and substructure of b-jets across Run 3 data.
• Contribute to Bayesian extraction of Ds(T) and model comparisons.

Skills

Python

C++

ROOT

Machine Learning

Data analysis

Education

PhD in experimental physics

Tools

PyTorch

CUDA

O2 framework

GitHub

Job description

CNRS’ Laboratoire de Physique Subatomique et de Cosmologie (LPSC) in Grenoble invites applications for a first-stage researcher position. The successful candidate will join the ALICE collaboration and lead ML-based b-jet tagging and heavy-ion analyses in RUN 3 Pb–Pb data, with development of a public b-tagging package and close interaction with theory groups.

Three-phase contract (36 months) covers method development, measurement of R_AA and v2, and ultimately the D_s(T) extraction, with access