We are looking for a master's student to join our team in the field of energy systems and energy economics to work on a master's thesis project. The project focuses on implementing and evaluating time series aggregation methods for municipal energy system modeling. The master's thesis will extend the energy system model DISTRICT with various aggregation algorithms and investigate their effects on optimization results and computing time.
Requirements
- Bachelor's degree in natural sciences, engineering, energy technology, or economic engineering
- Knowledge of energy economics and energy technology
- Good knowledge of programming with Python
- Experience with optimization models (GAMS, Pyomo) and machine learning methods are an advantage
Benefits
- Exclusive insight into the daily life of research and development at a research institute
- State-of-the-art laboratory infrastructure
- Opportunity to combine experimental work with theory
- Supervision and feedback on progress
- Flexible working hours and occasional remote work
- Equal opportunities and diversity