A Systems Approach to Understanding the Environmental Fate and Impacts of Electronic Waste
The rapid increase in the production and consumption of consumer electronics such as mobile phones and laptops has created a significant environmental challenge. The UK generates around 6 million tonnes of electronic waste annually, among the highest per capita rates globally, yet less than a third is recycled. Valuable metals such as gold and copper are lost, while hazardous substances, including heavy metals and persistent organic pollutants, are released into soils, water, and the atmosphere. These emissions contribute to resource depletion, pollution, and ecosystem degradation, however their pathways and long-term environmental implications remain poorly understood.
This project aims to improve scientific understanding of the environmental fate and impacts of materials and pollutants associated with electronic waste across their life cycle. Using a systems-based environmental modelling approach, the research will integrate material flow analysis, life cycle assessment, and data-driven modelling to quantify the movement and transformation of critical and hazardous elements from production to end-of-life management. The project will assess how alternative waste treatment and circular economy interventions influence environmental fluxes, pollution risks, and resource sustainability under different scenarios. Experimental work will be undertaken to validate model assumptions and characterise pollutant behaviour in relevant environmental media.
The research will provide new insight into the interactions between resource use, pollution, and ecosystem health, generating evidence to guide sustainable environmental management and policy. The PhD candidate will develop interdisciplinary expertise spanning environmental science, sustainability assessment, and data analytics, preparing them to address complex environmental challenges in the transition to a circular economy.
The student will follow a personalised training programme designed to equip them with the knowledge and practical skills required for this interdisciplinary research. Training will be delivered through a blend of self-directed study, taught modules, and one-to-one instruction by the supervisory team, complemented by input from external partners where appropriate. The student will develop expertise in machine learning (e.g., time series forecasting, hybrid modelling), material flow analysis (MFA), life cycle assessment (LCA), and experimental techniques. Additional support in academic writing and presentation will be provided through the Brunel ASK team.
This PhD project provides interdisciplinary training at the interface of environmental science, data analytics, and experimental research, equipping the student with skills highly sought after across both academic and professional sectors. Within academia, graduates could pursue postdoctoral research positions in environmental systems analysis, circular economy studies, or sustainable resource management, contributing to knowledge generation and policy-relevant research.
Beyond academia, the project prepares students for impactful careers in government agencies, environmental consultancies, and international organisations focused on sustainable resource management, waste policy, or circular economy implementation. The computational, data science, and life cycle assessment skills developed during the project are also transferable to industries involved in materials recovery, electronics manufacturing, and sustainability assessment. Additionally, experience in experimental research and stakeholder engagement will enable graduates to take on leadership roles in environmental management and sustainability strategy.
Overall, this project offers a strong foundation for careers that combine scientific expertise with practical solutions to pressing environmental challenges, supporting the UK’s transition to a circular economy and contributing to global sustainability objectives.
