PhD Studentship: Analysis of Vehicle Emissions on Urban Air Quality Using Artificial Intelligence

Vehicular emissions are one of the leading sources of air pollution, particularly in urban areas. With rapid urbanization and the increasing use of vehicles, cities around the world face deteriorating air quality, contributing to adverse health effects and environmental degradation. According to the World Health Organization (WHO), poor air quality is responsible for millions of premature deaths annually, with transportation accounting for a significant portion of harmful pollutants such as nitrogen oxides (NOx), carbon monoxide (CO), particulate matter (PM), and volatile organic compounds (VOCs). Current mitigation strategies, such as emission regulations and vehicle technology improvements, have been implemented, but air quality in many cities continues to deteriorate. Understanding the contribution of vehicle emissions to overall air pollution, particularly in densely populated areas, is crucial to ensuring air qualities standards are met. The proposed research seeks to examine the extent of vehicle emissions' impact on air quality using data-driven methods and machine learning. The information gained will be used to determine the required mix of vehicles (i.e. petrol, diesel, hybrid, electric, etc.), and policies to meet future targets.

Entry requirements:

Applicants should have, or expect to achieve, at least a 2:1 honours degree (or equivalent) in a relevant subject such as engineering, mathematics and computer science. We are specifically looking for candidates with a strong background in transport emissions and data analysis. The ideal candidate will have a working knowledge of programming languages such as Python, and experience of Artificial Intelligence and machine learning. They will also be familiar with working with real world data and analysing data based on large and diverse datasets.

English language requirements:

Applicants must meet the minimum English language requirements. Further details are available on the International website (http://www.lboro.ac.uk/international/applicants/english/).

Funding information:

The studentship is for 3 years and provides a tax-free stipend of £19,237 per annum for the duration of the studentship plus tuition fees.

How to apply:

All applications should be made online via the above ‘Apply’ button. Under programme name, select the School of Aeronautical, Automotive, Chemical and Materials Engineering. Please quote the advertised reference number: *AAE-MM-2505* in your application.

To avoid delays in processing your application, please ensure that you submit the minimum supporting documents.

The following selection criteria will be used by academic schools to help them make a decision on your application.

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