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University of Leeds

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PhD in Robotics for Autonomous Control of Floating Pennywort at the University of Leeds University of Leeds in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competitive EPSRC Doctoral Training Partnership funding; fully funded PhD implied. Funding is restricted to UK applicants only and requires Home fee eligibility.

Deadline

Nov 18, 2026

Country flag

Country

United Kingdom

University

University of Leeds

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Keywords

Computer Science
Ecology
Environmental Science
Mechanical Engineering
Biology
Invasive Species Management
Computer Vision
Earth Science
Underwater Robotics
Robotics
Autonomous System
Mechatronics

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About this position

PhD opportunity at the University of Leeds in robotics, mechatronics, computer vision, and environmental engineering. The project, titled Pervasive Robotic Control of the Invasive Alien Species Floating Pennywort (Hydrocotyle Ranunculoides), focuses on developing autonomous aquatic robots to detect, collect, and manage floating pennywort in real river and canal environments.

The research sits at the intersection of robotics, ecology, and environmental resilience. Possible research directions include leaf-reflectance spectroscopy for high-confidence plant detection, robotic manipulator design and manufacture, autonomous decision-making, continuous regrowth monitoring, laboratory testing, and field trials in the Yorkshire Calder catchment.

The project is associated with REAL Robotics Lab, Research@MechEng, and iDRaM, and the supervision team includes Dr George Jackson-Mills, Dr Nabil Shaukat, and Professor Rob Richardson.

Funding is described as competitive EPSRC Doctoral Training Partnership funding, with UK applicants only and Home fee eligibility required. Training will be provided, and applicants do not need experience in every area, but a background in robotics or related quantitative disciplines is preferred.

The application deadline is 18 November 2026, with a start date of 1 October 2027. Interested applicants should review the project page and apply via the linked application route.

Funding details

Competitive EPSRC Doctoral Training Partnership funding; fully funded PhD implied. Funding is restricted to UK applicants only and requires Home fee eligibility.

What's required

Applicants are sought from robotics, mechatronics, computer vision, environmental engineering, mechanical engineering, or related quantitative disciplines. No prior experience in every aspect is required, as training will be provided. The funding is for UK applicants only, and Home fee eligibility is required.

How to apply

Review the project information and submit an application through the project link provided. Use the linked PhD project page to check eligibility details and follow the university application instructions before the deadline.

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Professors

Professor

University Name
Country flag

United Kingdom

Research Interests

Ecology

Biology

Mechatronics

Autonomous System

Earth Science