Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Research Opportunity
Apply now View Formal Call
Research Opportunity

Power Systems


Work description

- Develop machine learning models for digital-twin simulation of green hydrogen production and its integration in the electric power system - Formulate short-term and long-term forecasting problems for renewable energy and tailored for large-scale green hydrogen production from hybrid (PV and wind ) installations - Apply innovative data-driven techniques to use cases related to energy management and optimization in green hydrogen production - Dissemination of work in international journals

Academic Qualifications

MSc degree in electrical engineering or mechanical engineering or chemical engineering or applied mathematics or computer science or similar;

Minimum profile required

Average grade on the degree and on o MSc of 14 out of 20;

Preference factors

- Experience with machine learning models; - Advanced knowledge in energy systems - Knowledge in Python programming - Knowledge about the process of conversion to hydrogen

Application Period

Since 24 Nov 2021 to 14 Jan 2022


Cluster / Centre

Power and Energy / Power and Energy Systems

Scientific Advisor

Ricardo Jorge Bessa