Postdoctural Research Assistant in Computer Vision


Grade 7: £32,236 - £39,609 p.a.

Closing date

Sep 12, 2019 12:00PM


We are seeking an experienced full-time Postdoctoral Research Assistant in Computer Vision to join Professor Victor Adrian Prisacariu’s research group at the Department of Engineering Science (central Oxford). This post is fixed-term for 2 years. The group is an internationally leading research group that has numerous scientific awards and has close links with some of the top industrial research labs.

This is a bleeding-edge research project that aims to link 3D object reconstruction using SfM and/or depth fusion with 3D deep learning, with a strong focus on accuracy. Lambertian-constrained approaches have shown that, given enough sensor data, the visible shape of 3D objects can be recovered quickly and with high accuracy. At the same time, deep learning has become the go-to strategy for visual tasks such as object detection and recognition. Small steps have already been taken towards augmenting geometric 3D reconstruction with deep learning, but the focus is often on simple objects and coarse accuracy. This project aims to dramatically increase the accuracy of the reconstructions, while, at the same time, addressing some of the most difficult corner cases in 3D reconstruction (e.g. transparent objects). Importantly, the work is to be done jointly with a renowned industrial partner and is likely to see widespread adoption in society.

You will be required to develop and implement novel computer vision and learning algorithms to reconstruct 3D object geometry whilst also contributing documented software to the group library. You will also write reports on your research, and publish these as papers in leading conferences and journals.

You should possess a doctorate, or be near completion of a doctorate, in computer vision or machine learning, together with a strong publication record at principal computer vision conferences (CVPR, ECCV, ICCV and BMVC), with a background 3D geometry (depth fusion/SLAM/object tracking and reconstruction) and/or deep learning.

Informal enquiries may be addressed to the email address below.

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.

Only applications received before 12.00 midday on Thursday 12 September 2019 can be considered.

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Contact name

Professor Victor Adrian Prisacariu

Contact email



Closing date