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University College London

PhD Studentship: AI‑Powered Life Cycle Assessment for Emerging Clean Technologies University College London in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Expired

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Country

United Kingdom

University

University College London

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Keywords

Computer Science
Data Science
Environmental Science
Chemical Engineering
Materials Science
Artificial Intelligence
Automation
Life Cycle Assessment
Environmental Sustainability
Ecological Modeling
Batteries
Solar Cell
Machine learning

About this position

The Department of Chemical Engineering at University College London (UCL) is offering a fully funded 4-year PhD studentship focused on developing AI-powered approaches for Life Cycle Assessment (LCA) of emerging clean technologies. This innovative project sits at the intersection of sustainability science, artificial intelligence, and materials and energy innovation, providing a unique opportunity to transform how environmental assessments are conducted for rapidly evolving technologies.

Under the supervision of Dr Andrea Paulillo and Dr Eike Cramer, the successful candidate will join a vibrant research environment and collaborate with other groups in the department. The project aims to address the challenges faced by LCA practitioners, such as inconsistent environmental data and time-consuming manual processes, by creating an AI-driven workflow that automates and accelerates the entire LCA process. Real-world case studies will include next-generation solar cells and batteries, offering hands-on experience with cutting-edge technologies.

The research will evaluate how AI integration can improve the speed, consistency, reproducibility, and quality of LCA compared to traditional expert-driven methods. The project is ideal for candidates passionate about sustainability, environmental modelling, artificial intelligence, and emerging technologies.

Eligibility and Requirements: Applicants should hold, or be about to complete, an upper second-class or higher degree at MEng or MSc level in a quantitative discipline such as chemical or environmental engineering, physics, computer science, or a closely related field. Experience with LCA or machine learning/AI models is desirable. Candidates must be able to work independently and as part of a collaborative team. Funding covers UK-equivalent tuition fees and a stipend of approximately £23,805 per annum; overseas applicants must secure additional funding for the fee difference.

Application Process: Applications should be submitted via the UCL application portal. Please nominate Dr. Andrea Paulillo as your supervisor and include a statement of interest. For informal enquiries, contact Dr. Andrea Paulillo at [email protected]. The deadline for applications is April 30, 2026, with the studentship commencing in October 2026.

For further information on the MPhil/PhD course and recruitment process, visit the UCL Chemical Engineering website.

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.

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