The project realization requires knowledge in the fields of reliability & maintenance, machine learning, or applied mathematics. We are looking for a PhD candidate who holds an MSc degree and is familiar with one or more of the following topics:
- Stochastic modeling and simulation (stochastic process, Monte Carlo simulation, dynamic programming, etc.),
- Machine leaning (reinforcement learning, deep learning, etc.)
- Applied mathematics (probability, statistics, etc.).
A good level of programing (Matlab, Python, JuliaLang, or R, etc.) is appreciated.
For PhD applicant, please send your CV, cover letter, Bachelor and Master transcript, and other useful documents (two recommendation letters, publications, Master rank, etc.) to firstname.lastname@example.org by April 24, 2022.