PhD scholarship in Multi-agent constrained reinforcement learning

The AI&ML (https://www.upf.edu/web/ai-ml) and WiSeCom (https://www.upf.edu/web/wisecom) groups are looking for a candidate to pursue a PhD degree at the Department of Communication and Information Technologies (DTIC) of Universitat Pompeu Fabra (UPF) (https://www.upf.edu/web/etic/doctorat).

This project addresses the critical technical challenges involved in transitioning from single-agent and unconstrained learning to multi-agent and constrained learning. In a natural manner, due to the autonomy component, this learning process will take the form of reinforcement learning.

The successful candidate will be involved in research related to connected autonomy. More specifically, the research project will consist of the development of new reinforcement learning algorithms designed to work in multi-agent scenarios and under operational requirements. Potential experimental validations of the developed algorithms are also considered.

This position is co-funded by the PhD fellowship program of the Department of Information and Communication Technologies at Universitat Pompeu Fabra (DTIC-UPF), and the María de Maeztu Strategic Research Programme at DTIC-UPF on Artificial and Natural Intelligence for ICT and beyond. Its benefits and conditions are available at: https://www.upf.edu/web/etic/predoctoral-research-contracts

More information about the María de Maeztu Strategic Research Programme at DTIC-UPF on Artificial and Natural Intelligence for ICT and beyond:https://www.upf.edu/web/mdm-dtic .

Requirements:

Ideal candidates should hold a M.Sc. degree in Electrical Engineering, Computer Science or any related discipline. Be fluent in English and possess a solid academic record with strong mathematical and problem-solving abilities. Experience in Python with machine learning libraries (PyTorch) and/or robotic libraries (ROS) is highly valued.

Admission in the PhD program of the Department of Information and Communication Technologies at UPF is a prerequisite to enjoy the contract.

This position includes a teaching commitment load of 45 hours per academic year.

This position is full time, with a duration of up to four years with an expected start date of October 2023.

Gross monthly salary: 1,680€. (To increase to 2,020€ during the fourth year of the PhD.)

Interested candidates should contact Miguel Calvo-Fullana (miguel.calvo@upf.edu) and Anders Jonsson (anders.jonsson@upf.edu) with an up-to-date CV and academic transcripts.