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Shaping the role of GTs in future power systems

We have a fully funded PhD / Postdoc opportunity available in data analytics and machine learning applied to the power generation sector:

Advanced algorithms to support operation and improve performance of gas turbines in hybrid/virtual future power plants considering emissions reduction and grid demand prediction. Full description here

The research aims to analyse, propose and develop machine learning controllers to support operation and improve performance of gas turbines in new virtual/hybrid power generation scenarios, considering emission reduction and grid demand prediction. The funded position is supported by CITCEA-UPC and IDEAI-UPC. Intelligent Data Science and Artificial Intelligence researchers at Universitat Politècnica de Catalunya.

Apply now!
Send us your application by email to OSCAR FRANCO (oscar.franco at upc.edu) including the following documentation:
- CV,
- academic transcript,
- relevant certificates,
- publication list,
- reference contacts and
- other supporting materials such as reference letters.