Predoctoral position to develop a tool to manage and optimize deep geothermal resources using machine learning per l'Institute of Environmental Assessment and Water Research (IDAEA-CSIC)

The Institute of Environmental Assessment and Water Research (IDAEA-CSIC) is looking for a PhD student to develop machine learning algorithms applied to deep geothermal energy in the context of the project GeotermIA (MMT24-IDAEA-01, Programa Momentum).

The selected person will work on the development of neural network algorithms applied to geothermal applications. Specifically, you will develop a database of geothermal data to train the AI models and adapt machine learning algorithms to the necessities of geothermal energy production.

Deadline: 1st August 2024

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