Research Opportunity
Engineering
Work description
1) Model and validate Digital Twins (DT) of power generation plants for the creation of a fault database. The models will be based on the technical specifications of each plant and validated using SCADA system data.
2) Develop machine learning (ML) algorithms for fault diagnosis and malfunctions in power generation plants, using SCADA system data combined with synthetic data from Digital Twins (DT).
3) Develop a recommendation system that will support operation and maintenance (O&M) teams by providing strategic information on the current status of various equipment in the power generation plant.
4) Validate the developed methodologies with real data and different use cases focused on the energy transition.
5) Disseminate the work in international journals and/or conferences.
Academic Qualifications
PhD degree in:
- Electrical and Computer Engineering;
- Electrical Engineering;
- Energy, Applied Mathematics;
- Physics;
- Computer Science;
- Industrial Engineering or similar.
Minimum profile required
- Past experience with system modelling (e.g., Modelica, MATLAB Simulink)
- Python programming skills
- Academic knowledge of energy systems and/or renewable energy
- A minimum of 2 publications in Q1 journals
Preference factors
- Experience in the development of Digital Twins (DT)
- Experience in applying machine learning (ML) algorithms to engineering problems
- Knowledge or experience of energy systems problems
Maintenance stipend: € 1801,00, according to the table of monthly maintenance stipend for FCT grants , paid via bank transfer. Grant holders may be awarded potential supplements, according to a quarterly evaluation process (Articles 19, 21 and 22 of the Regulations for Grants of INESC TEC and Annex II), up to a maximum limit of 50% of the monthly maintenance stipend.
INESC TEC supports costs with registration, enrolment or tuition fees, during the grant duration, under the terms established in the internal document: "Payment of Tuition fees to grant holders".
The grant holder will benefit from health insurance, supported by INESC TEC.
Application Period
Since 27 Jun 2024 to 27 Jul 2024
Centre
Power and Energy Systems
Scientific Advisor
Tatiana Guedes
What we offer
- Multicultural and collaborative environment
- A multicultural, international and collaborative environment that makes it easier to exchange ideas, work in networks and create synergies.
- International projects
- The possibility of working in international projects with some of the most important companies in the field.
- Mentoring
- Mentoring with the best researchers in the fields of electrical and industrial engineering, bioengineering, information technology and physics.
- Self Improvement
- The possibility of participating in international conferences, workshops, seminars and vocational training.
- Other Benefits and Perks
- Flexible working time, health insurance, discounts in hotels, transportation, etc.
- Informal Events
- Annual informal events, such as the multicultural party.
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