This multidisciplinary PhD project at Kingston University, within the Faculty of Engineering, Computing and the Environment, aims to advance the understanding of the structure and nature of particulate matter particles. Building on previous research conducted at the university, the project will employ advanced data analysis techniques to investigate the physical and chemical characteristics of particulate matter, which is a critical concern in environmental science and public health.

Particulate matter, often found in air pollution, consists of tiny particles that can have significant impacts on human health and the environment. The research will focus on characterizing these particles, exploring their composition, morphology, and behavior using a combination of experimental and computational methods. The project is highly interdisciplinary, drawing on expertise from environmental science, materials science, chemistry, and engineering.

Students will have access to state-of-the-art laboratory facilities and analytical tools at Kingston University, and will be supported by a collaborative research environment. The project is supervised by Professor D Wertheim, an expert in the field, ensuring strong academic guidance and mentorship throughout the PhD journey.

Applicants should possess a strong academic background in a relevant discipline, such as environmental science, materials science, chemistry, or engineering. Experience or interest in data analysis and multidisciplinary research is highly valued. The position is open to both UK and international candidates, though English language proficiency may be required for non-native speakers.

Funding details are not specified in the current announcement, so applicants are encouraged to consult the university or project supervisor for potential funding opportunities. The application deadline is 4 March 2026, providing ample time for interested candidates to prepare their materials and reach out for further information.

For more details and to apply, visit the official project page linked below.