Qualification Type: | PhD |
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Location: | Loughborough |
Funding for: | UK Students, EU Students, International Students |
Funding amount: | Not Specified |
Hours: | Full Time |
Placed On: | 30th January 2025 |
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Closes: | 20th April 2025 |
Reference: | ABCE-DRIVE-25 |
As cities grow, ensuring transport systems are equitable, accessible, and affordable for all becomes increasingly critical and complex. This research will advance simulation-based optimisation methods to address these challenges. The project will leverage large-scale data sets, cutting-edge simulation tools, and advanced optimisation techniques to model and evaluate the effectiveness of various mobility scenarios. The findings will provide actionable insights to shape policies and technological interventions that promote inclusive transport systems.
The position offers collaboration opportunities with leading researchers, policymakers, industry partners, and the chance to make a tangible impact on the future of urban mobility.
This project is part of the prestigious Loughborough University Vice Chancellor’s PhD Cluster – Diverse Research in Inclusive Vehicle Environments Research Cluster (DRIVE-RC). The PhD candidate will join a cohort of five students who will be working on different multidisciplinary aspects of inclusivity within vehicular environments and will be supported by Loughborough’s Transportation AI Innovation Centre (https://www.lboro.ac.uk/research/traice/).
We highly recommend potential students to read more about the project topic, and the TRAICE centre, think about how they can contribute to this research, and prepare a short but targeted research proposal. We strongly encourage applicants from a diverse range of backgrounds, cultures, genders, or from people with a disability. Feel free to reach out to the primary supervisor if you have any questions.
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