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Postdoctoral position in Perception for Autonomous Manipulation for Mobile Robot

Pubblicato il 11-10-2026 - IIT in Italia

Postdoctoral position in Perception for Autonomous Manipulation for Mobile Robot
Italy
Commitment & contract: Fixed-term contract with renewal option
Location: IIT - Center for Robotics and Intelligent Systems, Via S. Quirico 19d, 16163 Genova, Italy
Starting period: To be agreed, according to project and candidate availability
Step into a world of endless possibilities, together let’s leave something for the future
At IIT, we are committed to advancing human-centered Science and Technology to address the most urgent societal challenges of our era. We foster excellence in both fundamental and applied research, spanning fields such as neuroscience and cognition, humanoid technologies and robotics, artificial intelligence, nanotechnology, and material sciences, offering a truly interdisciplinary scientific experience. Our approach integrates cutting-edge tools and technology, empowering researchers to push the limits of knowledge and innovation. With us, your curiosity will know no bounds.



We are dedicated to providing equal employment opportunities and fostering diversity in all its forms, creating an inclusive environment. We value the unique experiences, knowledge, backgrounds, cultures, and perspectives of our people. By embracing diversity, we believe science can achieve its fullest potential.
THE ROLE
The Humanoids & Human Centred Mechatronics Research Unit is seeking an exceptional and highly motivated postdoctoral researcher to develop advanced perception and autonomous manipulation methods for mobile robotic systems operating in complex, dynamic environments
The successful candidate will contribute to the development of perception-to-action capabilities that enable robots to understand their surroundings, localize objects, reason about scene geometry and semantics, and perform autonomous manipulation and navigation tasks. The work will focus on bridging robust perception, 3D scene understanding, object and environment representation, for enabling autonomous m

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