[visionlist] Postdoctoral Research Assistant in Computer Vision at the University of Oxford

Victor Adrian Prisacariu victor at viprad.net
Mon Feb 13 12:23:28 EST 2017


Postdoctoral Research Assistant in Computer Vision
Department of Engineering Science, Parks Road, Oxford
Grade 7: ?30,738 - ?37,768 p.a.

We are seeking a 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 2 years. The post is
funded by the Horizon 2020 project MoveCare. 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: www.robots.ox.ac.uk/ActiveVision/.

This is a bleeding-edge research project that aims to extend the
state-of-the-art in volumetric dense SLAM, by using semantic knowledge
about the scene and the objects in the scene to both enrich the
reconstruction result and to tackle issues such as tracking drift.
Importantly, the work is to be done within a large consortium of industrial
and academic partners and is likely to see widespread adoption in society.
You will be responsible for developing and implementing novel computer
vision algorithms that (i) add semantic constraints to large scale dense
SLAM and (ii) learn to infer semantic context for 3D objects in the scene.
You will write reports, perform demonstrations and contribute documented
software to the group library.

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

Informal enquiries may be addressed to: victor at robots.ox.ac.uk.

Only applications received before 12.00 midday on Wednesday 1 March 2017
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.
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