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Loughborough University

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PhD in Airborne Intelligent Monitoring and Quantification of Greenhouse Gases Loughborough University in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

This is a self-funded PhD project. Tuition fees for 2026-27 are £5,238 per year for UK students and £29,500 per year for international students. The post asks applicants to confirm their funding source.

Deadline

Sep 30, 2026

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Country

United Kingdom

University

Loughborough University

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Keywords

Computer Science
Environmental Science
Mechanical Engineering
Electrical Engineering
Artificial Intelligence
Environmental Sustainability
Robotics
Statistics
Unmanned Aerial Vehicle
Greenhouse Gas
Control System
ML

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About this position

PhD opportunity at Loughborough University in Airborne Intelligent Monitoring and Quantification of Greenhouse Gases.

This project sits in Aeronautical and Automotive Engineering and focuses on methane (CH4) monitoring, UAVs, artificial intelligence, robotics, active sensing, machine learning, control systems, and environmental sustainability. The research aims to develop a next-generation airborne environmental monitoring system using unmanned aerial vehicles equipped with miniaturised gas sensors to identify, sample, and quantify greenhouse gas emissions in real time.

You will work on information-theoretic planning, active inference, real-time flight path adaptation, cooperative sensing among multiple UAVs, and dispersion/statistical inference methods to locate unknown emission sources and estimate their strength. The project includes validation in real-world environments such as landfills, farms, and energy production sites, supported by LUCAS’s dedicated UAV test field.

Eligibility: applicants should have a strong background in engineering, computer science, robotics, environmental science, or a related STEM field. A minimum of a 2:1 (or overseas equivalent) is required, or equivalent relevant industrial experience. Programming skills in Python, MATLAB, or C++ are desirable, and prior experience with UAVs, sensing technologies, or fieldwork is a plus. English language requirements apply.

Funding: this is a self-funded PhD. Tuition fees for 2026-27 are £5,238 per year for UK students and £29,500 per year for international students.

Deadline: 30 September 2026. Start date: October 2026.

How to apply: contact Prof Cunjia Liu first with a CV, academic transcripts, a reference letter, and confirmation of funding source. Then submit the formal online application and quote reference AAE-CL-2521.

Funding details

This is a self-funded PhD project. Tuition fees for 2026-27 are £5,238 per year for UK students and £29,500 per year for international students. The post asks applicants to confirm their funding source.

What's required

Applicants should have a strong academic background in engineering, computer science, robotics, environmental science, or a related STEM field. A minimum of an upper-class honours degree (2:1) or overseas equivalent is required, or equivalent relevant industrial experience. Skills in programming (Python, MATLAB, or C++), machine learning, or control systems are highly desirable. Prior experience with UAVs, sensing technologies, or fieldwork is a bonus but not essential. Applicants must meet the minimum English language requirements.

How to apply

Contact Prof Cunjia Liu first with a CV, academic transcripts, a reference letter, and confirmation of funding source. After discussion, submit a formal online application and quote reference AAE-CL-2521 under Department of Aeronautical and Automotive Engineering.

More information can be found here

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