Marine Robotics: Multi-Agent RL & Distributed Control

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

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