Investigating and modelling high-energy nuclear effects with artificial intelligence

PhD type: 
Fizikai Tudományok Doktori Iskola
Year: 
2026/2027/1
Unit: 
Wigner Research Centre for Physics (WIGNER FK)
Address of unit: 
1121 Budapest, Konkoly-Thege Miklós út 29-33.
Description: 

In ultrarelativistic heavy-ion collisions at the CERN LHC and BNL RHIC, we investigate the properties of the quark-gluon plasma created in the first millionth of a second of the Universe. Traditionally, this is modelled using particle physics Monte Carlo simulators. Our research
group is developing the HIJING++ code, a parallelized C++-based simulation framework, specifically for simulating high-energy nuclear physics processes (jet suppression, Cronin effect, minijet production).
This framework can also incorporate modules based on artificial intelligence. The PhD candidate's task is to develop the HIJING++ code for the investigation of high-energy nuclear physics effects and for understanding hadronization processes.

Requirements: 

Professional English, basics of high-energy particle and nuclear physics, QCD, Pythia and programming in Python, C++, as well as neural networks is mandatory. Useful if the candidate know Root and program in Fortran.

State: 
Approved
Témavezető
Name: 
Barnaföldi Gergely
Email: 
barnafoldi.gergely@wigner.hun-ren.hu
Institute: 
Wigner Research Centre for Physics (WIGNER FK)
Assignment: 
senior research fellow
Scientific degree: 
PhD
Konzulens
Name: 
Takács Gábor
Email: 
takacs.gabor@ttk.bme.hu
Institute: 
Department of Theoretical Physics, Institute of Physics
Assignement: 
professor
Scientific degree: 
PhD, DSc
Stipendicum Hungaricum: 
No