Engineering
Work description
1) Analysis of SCADA and DT system data for fault and malfunction diagnosis and simulation of future scenarios related to the impact of O&M strategies in the context of renewable assets. 2) Digital modelling of components and equipment, such as battery banks and electrolysers, for validation of business models applied to O&M. 3) Validation of the digital model and testing of the digital twin in failure scenarios; 4) Creation of a failure database through the generation of synthetic data for training and evaluation of detection, diagnosis and decision support algorithms, with traceability between simulated scenarios and observable events in SCADA.
Academic Qualifications
Electrical Engineering or related field
Minimum profile required
- Advanced knowledge of electrical power systems, with a focus on PV systems, batteries, and renewable energy sources.
Preference factors
- Past experience (or academic training) with low, medium and high power photovoltaic systems; - Knowledge of programming in OpenModelica and Simulink. - Knowledge of programming in Python and MATLAB Script. - Academic training in operational research.
Application Period
Since 15 Jan 2026 to 28 Jan 2026
Centre
Power and Energy Systems