Postdoctoral Research Assistant in Computer Vision

University of Oxford - The Department of Engineering Science

Parks Road, Oxford

We are seeking an experienced full-time postdoctoral research assistant to join the active vision research group at the Department of Engineering Science (central Oxford). The appointment is fixed-term for 1 year (possible extension) from 2016. The post is funded by Huawei Technologies Co. Ltd. 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. More information can be found here:

This is a bleeding-edge research project that aims to extend the state-of-the-art in volumetric dense SLAM, by tackling issues such as tracking drift, dynamic changes in the scene and the need for highly accurate depth sensing equipment. 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 responsible for developing and implementing novel computer vision algorithms to build and track dense and sparse 3D geometry. You will write reports, perform demonstrations and contribute documented software to the group library.

You should possess (or be about to complete) a doctorate in computer vision, 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).

Informal enquiries may be addressed to:

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 11 November 2016 can be considered.

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

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South East England