[visionlist] Postdoctoral Research Assistant in Computer Vision at the University of OxfordPosted: February 13, 2017
Postdoctoral Research Assistant in Computer VisionDepartment of Engineering Science, Parks Road, OxfordGrade 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: http://ift.tt/1UrAuiC.
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: firstname.lastname@example.org.
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.