Departmental Lecturer in Computer Vision
Grade 8 - £40,792 - £49,533 p.a with a discretionary range up to £54,131
Mar 19, 2021 12:00PM
We are seeking a full-time Departmental Lecturer in Computer Vision to join the Visual Geometry Group at the Department of Engineering Science (central Oxford). The post is funded by ERC, EPSRC and industrial sponsorship and is fixed-term for 4 years.
The main research focus of the role is to lead a team of PDRAs and DPhil students within the Oxford Visual Geometry Group in developing computer vision technologies. We invite applications of candidates with an expertise at the intersection of computer vision and deep learning, with a strong emphasis on unsupervised learning and 3D reconstruction.
As well as supervising the work of the other team members and managing some of these projects, this job involves helping to develop the long-term vision for computer vision systems, establishing and answering new research questions and providing both thought and technical leadership.
You should hold a relevant PhD/DPhil, with post qualification research experience in computer vision and deep learning. In particular, we encourage applicants with a strong background in the AI areas of Image-Based and Unsupervised 3D Reconstruction, Representation of 3D Geometry, Unsupervised Representation Learning and Unsupervised Perception. Strong candidates will also have substantial and proven experience in deploying these AI-based methods on computer vision systems at scale.
Informal enquiries may be addressed to Prof Andrea Vedaldi (email:firstname.lastname@example.org)
For more information about working at the Department, see
Only online applications received before midday on 19th March 2021 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV and the details of two referees as part of your online application.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Prof Andrea Vedaldi