PhD in Automated Sensing and Identification of Chemical and Pathogen Markers in Wastewater University of Bath in United Kingdom

This PhD project at the University of Bath focuses on the automated sensing and identification of chemical and pathogen markers in wastewater, a critical area for advancing water-based epidemiology and public health protection. The research aims to develop a combined sampling and sensing system capable of near real-time, broad monitoring of pathogens and chemicals at wastewater treatment plants and near-source locations such as hospitals, prisons, universities, and care homes. Key research questions include the creation of a digital fingerprint of water quality, understanding the relationships between multiple markers and environmental parameters, and improving the security and efficiency of near-source sample collection using existing wastewater infrastructure. The system will integrate environmental sensors (measuring flow rate, temperature, electrical conductivity, dissolved oxygen, pH, and turbidity) with membrane sensors in a multi-stage filter stack to capture a wide range of chemical and pathogen markers.

These membranes, made from tailored polymer materials, will detect biomarkers such as pharmaceuticals, illicit drugs, and disease indicators. The project will also develop a cloud-based data platform to aggregate information from distributed sensors, enabling high-resolution, continuous environmental monitoring. The hardware will be designed for 24-hour deployment, featuring self-contained power, miniaturized sensors, and onboard data logging, with a focus on low-maintenance and secure operation.

Research will address challenges in sensor miniaturization, membrane packaging, and the production of low-cost disposable components. The studentship is part of the Centre of Excellence in Water-Based Early-Warning Systems for Health Protection (CWBE), offering the opportunity to contribute to the development of future early warning systems for environmental and public health. Funding is available through a University of Bath studentship, covering tuition fees, a stipend, and a training support budget for 3.5 years.

Applicants should have a strong academic background in a relevant field, with a First Class or high Upper Second Class UK Honours degree (or equivalent), and meet English language requirements if applicable. The application process requires submission through the University of Bath’s online portal, with specific instructions for selecting the studentship and referencing the project and supervisor. The university values diversity and encourages applications from under-represented groups.