英国利兹大学博士后职位—交通数据科学

英国利兹大学博士后职位—交通数据科学

利兹大学（University of Leeds），是一所位于英国利兹的公立综合性研究型大学、世界百强名校，英国红砖大学，是罗素大学集团，世界大学联盟、国际大学气候联盟、欧洲大学协会、英联邦大学协会、中英大学工程教育与研究联盟、RENKEI、N8大学联盟、白玫瑰大学联盟成员。利兹大学商学院获AACSB、EQUIS和AMBA三重认证，是全球商学院网络、“一带一路”商学院联盟、中欧商校联盟成员。

Research Fellow in Transport Data Science

University of Leeds

Job Description

Are you an ambitious researcher looking for your next challenge?  Do you have a background in transport, geographic data and data science?  Do you want to further your career in one of the UK’s leading research intensive Universities?

This role will see you join a dynamic team who have built important components of high-impact transport planning tools including the Propensity to Cycle Tool (PCT), the Rapid Cycleway Prioritisation Tool (Rapid) and the Cycling Infrastructure Prioritisation Toolkit (CyIPT). These tools have been deployed nationally in the UK, and are having a large impact on active travel planning, making it more evidence-based. The logical next step is to create foundations for internationally scalable tools that are free and open source, to improve the evidence base for a transition away from fossil fuels in the transport sector worldwide.

You will also work with staff across the Institute for Transport Studies, with collaborations at the Leeds Institute for Data Analytics (LIDA) and the ESRC-funded Consumer Data Research Centre (CDRC), you will undertake research projects closely aligned to the aims of the CDRC and to its data partners.  Your job will be to create these foundations.

To explore the post further or for any queries you may have, please contact:

Robin Lovelace, Associate Professor of Transport Data Science

Tel: +44 (0)113 343 36494 | Email: r.lovelace@leeds.ac.uk

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