Two Postdoctoral Positions in Robot Learning and Embodied AI

AI4I — Italian Institute of Artificial Intelligence, Turin

Location

Duration

2 years, renewable

Preferred November 2026; flexible

Compensation

(Researchers relocating from abroad may be eligible for tax exemptions of up to 90%. (link))

Deadline

September 30, 2026 — applications reviewed on a rolling basis until filled

The Machine Intelligence for Robot Autonomy (MIRA) Laboratory at the Italian Institute of Artificial Intelligence (AI4I), is seeking two Postdoctoral Researchers in Robot Learning and Embodied AI.

Our goal at MIRA is to develop the algorithmic foundations and system-level methodologies that enable AI-powered autonomous systems to operate safely, efficiently, and reliably in high-stakes environments. Our work addresses these challenges by employing and advancing techniques from AI/ML, statistical learning, control theory, and mathematical optimization, and we apply the results to aerospace robotics, future mobility systems, and autonomy at large.

Ultimately, the goal of our lab is to push the boundaries of autonomy in high-stakes, safety-critical domains. These environments force existing methods to operate at the edge of what is currently possible, accelerating the next generation of autonomous systems: “a wind tunnel for Physical AI”.

We are looking for researchers who want to tackle ambitious problems in AI and autonomy, with strong technical foundations, clear scientific taste, and the ambition to define and lead new research directions.

Research

Successful Candidates Will Have The Freedom And Support To Shape Their Research Agenda Within The Broader Scientific Direction Of MIRA. Topics Of Interest Include

• Foundation models for autonomy, including LLMs, VLMs, and VLAs
• Reinforcement Learning and Imitation Learning
• Physical AI safety
• Continual learning, generalization under distribution shift, and real-time adaptation
• Integration of learning with optimal control and model-based methods
• Decision-making for large-scale, coordinated, multi-agent autonomous systems

We are especially interested in research that moves beyond isolated capabilities toward integrated robot autonomy that operates robustly beyond tightly controlled demonstrations.

Research environment

MIRA is part of AI4I, a national research institute dedicated to foundational and applied research in artificial intelligence. The lab is being built now, and the researchers who join at this stage will shape its research agenda, its experimental infrastructure, and its scientific culture.

Postdoctoral researchers will be encouraged to lead ambitious projects, publish at top international venues, build and test methods on real robotic systems, mentor junior researchers, and contribute to the scientific direction of the laboratory.

MIRA is proud to maintain active collaborations with frontier research labs and institutions, including Stanford University, MIT, ETH Zurich, DTU, TUM, NASA, ESA, and others. Depending on the candidate's research program, opportunities may include research visits and extended scientific exchanges. The working language of the lab is English.

Who We Are Looking For

• Applicants should hold, or be close to completing, a PhD in artificial intelligence, robotics, computer vision, machine learning, control, or a related field
• A strong publication record at top AI and robotics venues (NeurIPS, ICLR, ICML, ICRA, IROS, RSS, CVPR, CoRL, L4DC, and similar)
• Research depth in one or more of the areas listed above
• Strong programming skills in Python and fluency with modern deep learning frameworks
• Experience with physical robotic systems and autonomy software, including ROS or ROS 2, are highly valued

Candidates are not expected to cover every area. Depth, originality, motivation, and the ability to pursue important research questions matter more than matching a checklist of techniques.

What We Offer

• An ambitious, dynamic research environment. MIRA is a new laboratory inside a national AI institute, and researchers joining at this stage will help shape its research agenda, its experimental capabilities, and its scientific culture. Substantial intellectual freedom, and the opportunity to work on real-world applications
• Compute and experimental facilities. Researchers have access to Peano, AI4I's AI Foundry: 148 NVIDIA GPUs across H200 and B200 architectures. Peano entered the TOP500 ranking of the world's most powerful supercomputers in June 2026 at #315 and placed #101 on the HPCG list. Researchers will also have access to MIRA’s tailored computational and experimental facilities
• International collaboration. Active ties with frontier research labs and institutions, wi