Computer vision, photogrammetry, remote sensing, data science University of Cambridge in United Kingdom

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About this position

We are recruiting funded # PhD # students to join our CV4DT team in Department of Engineering at the University of Cambridge . This research will develop fundamental advances in # 3Dcomputervision in the under-explored and challenging built environment scenarios. If you’re a motivated student or recent graduate, with a passion to push the boundaries of # 3Dcomputervision for # digitaltwins , then we’d love to hear from you!

The applicants should have a strong background (education/experience/papers) in # computervision , # photogrammetry , # remotesensing , # datascience and related disciplines.

The scope of the work is flexible -- check out our application guidelines ( https://lnkd.in/dZMM-hAa ). The successful candidate will join the the CV4DT group and will be connected to the wider network of University of Cambridge , Cambridge Centre for Smart Infrastructure and Construction , and Laing O'Rourke Centre for Construction Engineering and Technology, University of Cambridge . More information on our research is available at https://lnkd.in/dVMiaXmm and cv4dt.github.io .

To apply: please send your CV, including details of your academic record, and a 1-page research proposal to Brian Sheil ( [email protected] ) and cc me ( [email protected] ) to arrive no later than 31 October 2025. You will also need to apply separately for admission through the University's Graduate Admissions application portal; this should be done concurrently with applying for this funding opportunity. The applicant portal can be accessed via: https://lnkd.in/d3eJHVXy .

Brian Sheil Guangming Wang Yixiong Jing Wanru Yang Haibing Wu Qilin Zhang Daniel Lehmberg Ziyang Xu

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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