PROJECT DESCRIPTION

Air quality is a growing global concern, driving legislative efforts such as the Green Deal. The European Union is leading the push for zero air pollution by 2050 through the Ambient Air Quality Directive. Among the major contributors to urban air pollution, road transport emissions stand out as a key challenge. This research aims to advance our understanding of the environmental impact of diverse road transport technologies, including various powertrain systems. Adopting a systems engineering approach, it will harness the power of advanced data analytics and predictive modelling, integrating digital twins and artificial intelligence to develop an innovative air quality modelling tool. This tool will enable direct comparative analysis of different transport technologies, providing a data-driven foundation for strategic decision-making. This holistic approach, incorporating life cycle analysis and considerations of societal and economic factors, will help identify the most effective pathways for passenger transportation fleets to comply with WHO Air Quality Standards, both locally and globally, while advancing toward a future of zero pollution.
The successful applicant will be based in the Department of Aeronautical and Automotive Engineering, joining an active research community conducting impactful research, with a focus on addressing global challenges, with key areas including sustainable aviation, net-zero transportation, autonomous and intelligent systems, systems reliability and health management, mechanics and dynamics, and mathematical modelling and simulation.
For more information refer to the Job Description and Person Specification.

Please refer the Job description for details