The Italian Institute of Artificial Intelligence (AI4I) has opened two international calls for postdoctoral researchers aimed at strengthening research at the intersection of artificial intelligence, robotics and advanced computational systems.
The positions are hosted within two research laboratories of the Institute — the IDeaLS Lab (Intelligent Development and Large-Scale Systems) and the Physical Holistic Intelligence (PHI) Lab — and are designed to attract outstanding early-career researchers interested in contributing to the next generation of intelligent systems.
Both positions are based in Turin at OGR Torino, the innovation hub that hosts AI4I’s research teams and industrial collaborations.
MLOps and AI-Enabled Cyber-Physical Systems
Postdoctoral Researcher – Software Engineering & Robotics (IDeaLS Lab)
Application deadline: April 30, 2026 – 11:59 PM CEST
The IDeaLS Lab is recruiting a postdoctoral researcher with expertise in software engineering, robotics, or AI-enabled cyber-physical systems.
The selected candidate will contribute to research on MLOps pipelines and intelligent software infrastructures supporting autonomous systems, including UAVs and advanced robotic platforms.
Research activities will include the design of adaptive learning and deployment frameworks enabling secure, trustworthy and robust AI models embedded in cyber-physical systems, as well as empirical and experimental validation through simulation environments and robotics testbeds.
The position involves collaboration with interdisciplinary teams across AI4I and international research partners, with opportunities to publish in leading venues in software engineering and robotics such as ICSE, ASE, ICRA, IROS, TSE and JSS.
Mathematical Foundations of Safe Generative AI
Postdoctoral Researcher – Differential Geometry and Control for Safe and Adaptive Generative Models (PHI Lab)
Application deadline: March 27, 2026 – 11:59 PM CET
The Physical Holistic Intelligence (PHI) Lab is seeking a postdoctoral researcher to advance research on safe, adaptive and explainable generative models for robotics.
The position focuses on integrating differential geometry, control theory and optimal transport into the foundations of generative AI systems.
The research explores how models such as diffusion, flow matching and Schrödinger bridges can be combined with reinforcement learning and optimal control to enable reliable perception-action loops in robotic systems, ensuring safety, robustness and controlled generalization in uncertain environments.
Applications include robotic manipulation in smart factories, safe human-robot collaboration and next-generation digital twins and world models for robotics.
Research at AI4I
AI4I was established to advance application-oriented research in artificial intelligence, connecting scientific discovery with industrial innovation and technology transfer.
Researchers joining the Institute work within a dynamic international environment, with access to high-performance computing infrastructure, advanced robotics platforms and collaborations with leading academic and industrial partners.
These two calls represent an opportunity for researchers interested in shaping the future of AI-driven robotics, intelligent software systems and trustworthy generative models.
