Investigating and modelling high-energy nuclear effects with artificial intelligence

PhD típus: 
Fizikai Tudományok Doktori Iskola
Év: 
2026/2027/1
Munkahely neve: 
Wigner Research Centre for Physics (WIGNER FK)
Munkahely címe: 
1121 Budapest, Konkoly-Thege Miklós út 29-33.
Leírás: 

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.

Elvárások: 

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.

Állapot: 
Végleges
Témavezető
Név: 
Barnaföldi Gergely
Email cím: 
barnafoldi.gergely@wigner.hun-ren.hu
Intézet: 
Wigner Research Centre for Physics (WIGNER FK)
Beosztás: 
senior research fellow
Tudományos fokozat: 
PhD
Konzulens
Név: 
Takács Gábor
Email cím: 
takacs.gabor@ttk.bme.hu
Intézet: 
Department of Theoretical Physics, Institute of Physics
Beosztás: 
professor
Tudományos fokozat: 
PhD, DSc
Stipendicum Hungaricum: 
No