PhD Position in Artificial Intelligence and Optimization – 3-Year Predoctoral Contract at UPV

A 3-year fully funded PhD position is available at the Research Centre on Production Management and Engineering (CIGIP), Universitat Politècnica de València (UPV), Spain. The research will focus on developing advanced methods combining Artificial Intelligence and Operations Research to solve complex planning and optimization problems in dynamic environments. The project will explore multi-objective optimization, metaheuristics, Machine Learning, and Deep Reinforcement Learning, with applications to real-world Field Service problems.

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Would you like to pursue a PhD in Artificial Intelligence and Optimization?

At the Research Centre on Production Management and Engineering (CIGIP) at the Universitat Politècnica de València (UPV), we are looking for a candidate to join our research team through a 3-year predoctoral contract.

The position is funded by the Spanish State Research Agency (AEI) under the Knowledge Generation Projects and Predoctoral Research Training Programme – 2025 Call,



and is associated with the following research project:

? PID2025-172989OB-I00

“Multi-objective and adaptive optimization of field services in dynamic environments using advanced artificial intelligence-based systems” Web: https://sabia.webs.upv.es

The project, led by Llanos Cuenca González and Pedro Gómez Gasquet, has been awarded one predoctoral position.

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What will you work on?

The PhD research will focus on developing new methods to solve complex planning and optimization problems in dynamic environments, combining Operations Research and Artificial Intelligence.

We will work with techniques such as multi-objective optimization, metaheuristics, Machine Learning, and Deep Reinforcement Learning, aiming to develop systems capable not only of finding high-quality solutions, but also of adapting and replanning in response to changes and uncertainty.

The methodologies developed will be

📌 Contrato predoctoral (Valencia)
🏢 SABIA Project
📍 Valencia