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Vittorio Murino

2 months ago

Postdoctoral Research Fellow in Multimodal AI for Object Detection and Pose Estimation in Space Robotics Italian Institute of Technology in Italy

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

Jul 31, 2026

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Country

Italy

University

Italian Institute of Technology

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Computer Vision
Robotics
Object Detection
Pose Estimation
Machine learning

About this position

Postdoctoral Research Fellow opportunity at the Italian Institute of Technology (IIT) in the AI for Good (AIGO) research unit, working on the LILO project in collaboration with the Italian Space Agency (ASI).

The project focuses on computer vision, machine learning, and deep learning for a robotic platform supporting autonomous satellite servicing. Research topics include multimodal AI, object detection, pose estimation, robust perception under extreme illumination, and methods that work with limited onboard computational power.

This is a strong fit for candidates with a PhD in Computer Science, AI, Machine Learning, Computer Vision, Robotics, or related fields. The ideal profile includes experience with foundation models, transformers, major deep learning frameworks, and a solid publication record in top-tier venues. The role also mentions the ability to work independently and collaboratively, including mentoring PhD students.

The post is announced by Vittorio Murino (Computer Vision and Machine Learning researcher) and is based in Genoa, Italy. Deadline: 2026-07-31 (noted as postponed until the position is covered).

Interested applicants should use the application link provided in the post and review the full job description before applying.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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