PhD Candidate - Next-Generation Agri-Robotics: Merging Perception, Control, and Autonomy for Mi[...]

European Commission; Italia; In loco; EUR 24.000 - 30.000; Tempo pieno

Descrizione del lavoro

An esteemed research organization in Italy is inviting applications for PhD positions aimed at enhancing precision agriculture through robotics and computer vision. The candidates will work on developing robust autonomous systems that operate with minimal human oversight. This position emphasizes research in cost-effective solutions for challenges like crop monitoring and resource management. Seeking individuals passionate about innovative agricultural practices.

Competenze

• Candidates must focus on the intersection of computer vision, robotics, and model predictive control.
• Experience with the development of autonomous systems in agricultural settings is preferred.

Mansioni

• Explore novel autonomous systems for precision agriculture.
• Investigate integration of perception, control, and decision-making.
• Enhance tasks like crop monitoring and resource management.

Formazione

PhD in Computer Vision, Robotics, or related field

Descrizione del lavoro

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Organisation/Company Fondazione Bruno Kessler Research Field Other Researcher Profile Other Profession Positions PhD Positions Country Italy Application Deadline 26 Aug 2025 - 23:59 (Europe/Rome) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

We invite applications for PhD positions focused on the innovation potential at the intersection of computer vision, robotics, and model predictive control within the domain of precision agriculture. This research will explore novel, robust, and cost-effective autonomous systems capable of operating with minimal human intervention in real-world agricultural environments. Candidates will investigate how the synergistic integration of perception, control, and decision-making can improve tasks such as crop monitoring, weeding, harvesting, and resource management. The ideal solutions must prioritize affordability and resilience while pushing the boundaries of autonomy to support sustainable and scalable agricultural practices.