Multi-agent reinforcement learning, information fusion, and distributed control for marine sour[...]

Italian Ministry of Education, University and Research; Italia; In loco; EUR 36.000 - 54.000; Tempo pieno

Descrizione del lavoro

Università degli Studi Firenze invites applicants for a research position focusing on multi-agent reinforcement learning for cooperative source localization in dynamic marine environments. The project emphasizes distributed information fusion, decentralized coordination, and event-triggered communications in realistic simulations.

The candidate should hold a master degree in Robotics, Automation and Electrical Engineering, AI or Computer Engineering, Data Science, or related fields, with strong

Competenze

• Master's degree in a relevant field (Robotics, Automation and Electrical Engineering, AI, Computer Engineering, Data Science, CS, etc.).
• Strong foundation in reinforcement learning and control theory.
• Experience with distributed information fusion or cooperative estimation is a plus.

Mansioni

• Develop multi-agent reinforcement learning methods for cooperative source localization in dynamic marine environments.
• Address distributed information fusion, decentralized coordination, and event-triggered communications.
• Validate methods in realistic hydrodynamic scenarios.

Conoscenze

Reinforcement learning

Multi-agent systems

Control engineering

Formazione

Master's degree in Robotics, Automation and Electrical Engineering / AI / Computer Engineering

Descrizione del lavoro

Organisation/Company Università degli Studi Firenze Research Field Engineering » Control engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 19 Oct 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The project will develop multi-agent reinforcement learning methods for cooperative source localization in dynamic marine environments. Research will address distributed information fusion, decentralized coordination, and control with event-triggered communications, with training and validation in realistic hydrodynamic scenarios.

master degree in Robotics, Automation and Electrical Engineering/Automation Engineering, Artificial Intelligence or Computer Engineering, Electronic Systems Engineering or Electronic Engineering, Data Science, Computer Science, Telecommunications Engineering, Electrical Engineering, Mechanical Engineering, Environmental and Spatial Engineering, Mathematics, Physics, Statistics and Data Science

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies:

• EUROPE

Selection process

on the basis of qualifications and an interview