Brian Sheil

The CV4DT group at the University of Cambridge is recruiting funded PhD students to join their team in the Department of Engineering. The research focuses on developing fundamental advances in 3D computer vision for challenging built environment scenarios, with applications in digital twins, infrastructure monitoring, and construction engineering. Candidates will work on topics such as computer vision, photogrammetry, remote sensing, and data science, contributing to projects that span tunnel inspection, asset management, and structural health monitoring. The successful candidate will join a vibrant research group and be connected to the wider Cambridge network, including the Cambridge Centre for Smart Infrastructure and Construction and the Laing O'Rourke Centre. Applicants should have a strong background in relevant disciplines and be motivated to push the boundaries of 3D computer vision and digital twins. The position is funded, but specific financial details are not provided. The application deadline is 31 October 2025. To apply, candidates should send their CV, academic record, and a 1-page research proposal to Brian Sheil and cc Olaf Wysocki, and also apply through the University's Graduate Admissions portal. More information and guidelines are available on the CV4DT website.

A fully funded PhD position is available at the University of Cambridge (Department of Engineering) in the Computer Vision for Digital Twin (CV4DT) team. The research will focus on leveraging computer vision, robotics, reinforcement learning, diffusion models, and large language models to revolutionize construction through digital twins and embodied AI. The successful candidate will join a collaborative environment, working with the Smart Infrastructure and Construction (CSIC) and the Laing O'Rourke Centre for Construction Engineering and Technology, and will be encouraged to build collaborations with the CV4DT robotics team. Applicants should have a strong background in mathematics, physics, and programming (Python/C++), with education or experience in computer vision, robotics, computer science, or information engineering. Publications in top-tier venues are highly valued. The position is fully funded, covering tuition and providing a stipend. To apply, send your CV and a 1-page research proposal to [email protected], cc [email protected] and [email protected] by 31 October 2025. For more information on ongoing projects, visit http://cv4dt.github.io/projects.

A fully funded PhD position is available at the University of Cambridge (Department of Engineering) within the Computer Vision for Digital Twin (CV4DT) team. The research will focus on leveraging computer vision, robotics, large language models (LLMs), diffusion models, and reinforcement learning to advance digital twins and revolutionize construction through robotics and AI. The successful candidate will join a collaborative environment, working with the Smart Infrastructure and Construction (CSIC) group and the Laing O'Rourke Centre for Construction Engineering and Technology. Applicants should have a strong background in mathematics, physics, and programming (Python/C++), with education or experience in computer vision, robotics, computer science, or information engineering. Publications in top-tier venues are highly valued. The position is fully funded, though specific stipend and tuition details are not provided. To apply, candidates should send their CV and a 1-page research proposal to Brian Sheil ([email protected]), cc Guangming Wang ([email protected]) and Yixiong Jing ([email protected]) by 31 October 2025. More information about ongoing projects can be found at http://cv4dt.github.io/projects.