Power Systems
[Open soon]
Work description
Review of the state of the art in time series forecasting and forecast aggregation; - Data analysis and implementation of forecasting models/algorithms in Python; - Testing and validation of different forecast aggregation methods; - Writing articles and technical documentation, and supporting the dissemination of results;
Minimum profile required
The candidate must be enrroled at a PhDExperience in time series forecasting;Programming skills in Python;-Knowledge of data science;Ability to work independently and as part of a team;Familiarity with version control systems (Git);- Fluency in English (spoken and written);
Preference factors
Experience with large language models (LLMs); - Interest in the energy sector and digital innovation; - Participation in forecasting competitions (e.g., Kaggle); - Scientific publications
Application Period
Since 24 Sep 2026 to 08 Oct 2026
[Open soon]
Centre
Power and Energy Systems