|Title: Postdoctoral Research Assistant in Computer Vision||Posted: November 21, 2015|
|Company/Institution: University of Oxford|
|Location: Oxford University|
Description: We are seeking a full-time research assistant to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). The post is funded by an EPSRC/MURI award, as part of an Anglo-American multi university research initiative involving the University of Oxford, CMU, MIT, Stanford, UCLA, Yale and UIUC. It is a fixed-term for 2 years from any time soon after 1 February 2016. 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/~tvg/.
The work will be on computer vision with flexibility as to topic, broadly we are aiming to achieve wholistic scene understanding and reconstruction, more details are in the job description.
You should possess a doctorate, or be near completion of 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 in graphical models, combinatorial optimisation, segmentation and machine learning.
Informal enquiries may be addressed to Professor Torr using the email address below.
Only applications received before 12.00 midday on 18 January 2016 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.