Location: Barcelona (Spain)
Contract: Temporary
Working day: Full time
Sector: Internet and technology
Vacancies: 1
Discipline: R&D
Work modality: HybridRole Overview:
The i2CAT Foundation in Barcelona is seeking high-potential postdoctoral candidates to co-develop competitive proposals for the 2026 MSCA Postdoctoral Fellowships. As a premier European hub for applied research, our center focuses on generating social and economic impact in the sectors of Telecommunications (6G), Cybersecurity, Connected Mobility, and GovTech. Scientific Director Dr. Xavier Costa and Dr. Josep Escrig will serve as the supervisors for this fellowship to oversee the researcher's scientific progress and professional integration. Fellows will gain access to state-of-the-art facilities, including Europe’s first 6G space laboratory, and receive dedicated proposal-writing support from our European Project Officers.
The following research pillars represent the directions we consider most promising for the evolution of autonomous digital workers. These are intended as a strategic starting point; candidates are not required to address all of them and are highly encouraged to propose variations or entirely new research directions that align with their specific expertise and vision for the future of Agentic AI.
Research Pillar I:Multi-Agentic AI through Continual Learning and LLM Adaptation
This pillar investigates how LLM-powered and new generations of agents can move beyond "frozen" pre-trained weights to become truly adaptive lifelong learners. You will explore Just-In-Time Reinforcement Learning (JitRL), a breakthrough approach that modulates a model's frozen prior toward an optimal posterior without expensive gradient updates or catastrophic forgetting . By leveraging non-parametric memory and adjusting action logits through the , agents can learn from live environmental feedback in real-time . Research will utilize state-of-the-art benchmarks like MEAL (Multi-agent Environments for Adaptive Learning) to ensure these adaptive agents maintain stable cooperation even as their surroundings and roles evolve .
Research Pillar II: Quantum Multi-Agentic AI and Entanglement-Based Coordination
Scaling multi-agent swarms currently faces a "communication wall" where message overhead grows quadratically with each new agent . This research line aims to shatter that wall by using Quantum Entanglement as a shared substrate for coordination, effectively bypassing the need for explicit message-passing . Through Entangled Quantum Multi-Agent Reinforcement Learning (eQMARL), you will design agents whose cognitive states are physically correlated, allowing for instantaneous state alignment upon quantum measurement . This framework enables constructive interference of compatible plans while incompatible ones are canceled out, allowing massive drone swarms or 6G network slices to synchronize with zero latency .
Pillar III: Social Multi-Agentic AI and Cross-Stakeholder Trust
This pillar explores the social intelligence required for Multi-Agentic AI systems where independent agents, belonging to different companies or stakeholders, must collaborate despite having different interests. You will investigate mechanisms for Indirect Reciprocity and Reputation Systems, allowing "digital strangers" to build trust and find human-like "win-win" collaborations in decentralized environments. By integrating mathematical Game Theory and negotiation mechanisms, you will develop protocols that lead agents toward a stable Nash Equilibrium, ensuring fair and efficient outcomes in complex environments such as GovTech participation platforms or multi-provider 6G network slices.
By joining us, you can expect:
Application Details and Deadlines
i2CAT provides a premier environment for researchers holding a PhD with up to 8 years of experience who meet the MSCA mobility rules.
MUST HAVE:
NICE TO HAVE: