Industrial Engineering and Data Science Applied to the Solar Energy Area
The research workplan involves the definition and specification of use cases for the application of AI techniques in solar power plants diagnosis and maintenance, considering the different type of faults, diagnosis needs, available data and the expected performance by end-users for advanced O&M strategies. Then, automatic failure mode detection algorithms will be developed, so that real data can be combined with physical and data-driven models for fault diagnosis, with the possibility of detecting, isolating, and identifying the faults. Aspects such as combination of AI and physical modelling of components (solar inverter) will be the focus of R&D activities, with a view to scientific production oriented to international journals and conferences.
PhD degree in Industrial Engineering and Management
Minimum profile required
Doctorates with reduced post-doctoral experience or without scientific curriculum after the PhD compatible with the category of junior researcher. A minimum of 2 publications in journals or international conferences related to industrial engineering and/or data science.
Domain knowledge about optimization, machine learning and data analytics applied to engineering problems.
Since 02 Aug 2021 to 13 Aug 2021
Cluster / Centre
Industrial and Systems Engineering / Industrial Engineering and Management