COMPUTER SCIENCE, MATHEMATICS
[Closed]
Work description
- develop algorithms based on contextual bandit and reinforced reinforcement learning - develop a computational solution to test these algorithms in different decision-making problems, such as the participation in the electricity market and the management of alarms in electrical networks; - develop a methodology to evaluate the results and quantify performance - Prepare a technical report and a scientific paper for publication in an international conference or journal.
Academic Qualifications
Bachelor degree in applied informatics, electrical engineering, applied mathematics or similar
Minimum profile required
- Knowledge in one programming language- Knowledge in machine learning algorithms
Preference factors
- Experience in Python programming language - Fluency in English (spoken and written) - Experience in applying machine learning algorithms
Application Period
Since 03 Feb 2022 to 16 Feb 2022
[Closed]
Cluster / Centre
Power and Energy / Power and Energy Systems