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Entry requirements:
Research supervisor:
Yury Malyshkin
PhD
Supervisor’s research interests:
Reconstruction of event characteristics with the use of modern machine learning techniques for Jiangmen Underground Neutrino Observatory being constructed in China.
Research highlights:
Supervisor’s specific requirements:
Main publications:
- Master’s degree / equivalent in a related field
- B2 level of English
- Good track record of publications related to the topic of the intended research
- Strong research proposal 1,500 - 3,500 words
Research supervisor:
Yury Malyshkin
PhD
Supervisor’s research interests:
Reconstruction of event characteristics with the use of modern machine learning techniques for Jiangmen Underground Neutrino Observatory being constructed in China.
Research highlights:
- Work in an international collaboration.
- The most advanced detector of the kind.
- Opportunity to join the experiment at the time of its launch (in 2022).
Supervisor’s specific requirements:
- Basic knowledge of nuclear and elementary particle physics.
- Strong programming and data analysis skills (Python, NumPy, SciPy).
- Understanding of machine learning principles and experience of their usage.
- Extra financial support from JINR.
Main publications:
- F. An. et al. (JUNO collaboration), “Neutrino Physics with JUNO”, Journal of Physics G: Nuclear and Particle Physics, 43(3), 2016. [arXiv: 1507.05613].
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