Modeling, simulation and optimization
- Formalize data collection and optimization problems arising in the context of digital-twin transformers; - Develop specialized optimization models for predictive maintenance; - Learning for optimization: develop models for actively complementing a data set in view of allowing more robust optimization decisions; -Develop algorithms for solving selected learning and optimization models arising in the context of this project.
Master's or bachelor's degree in computer science, operational research or related areas.
Minimum profile required
- Fluency in English (spoken and written);- Good modeling and programming skills.
- Enrollment in a doctoral or masters program in Computer Science or similar.
Since 29 Jul 2020 to 14 Aug 2020
Cluster / Centre
Industrial and Systems Engineering / Industrial Engineering and Management