Postdoctoral Research Assistant in Computer Vision

Postdoctoral Research Assistant in Computer Vision

Posted by Rebecca Martin on Mon, 03/02/2014 - 10:30

We are seeking a full-time research assistant to join a new research group at the Department of Engineering Science (central Oxford). The post is funded by the European Union, as part of a European Research Council Advanced Investigator Award, and is fixed-term for 2 years starting as soon as possible.

The topic of the research is natural language description of scenes (see a video here) and will involve elements of machine learning, natural language processing and computer vision. There will be a particular emphasis on developing this technology so that it might be useful in assistive technologies for the blind and partially sighted. The methodology will build heavily on our previous work on Markov Random Fields and optimisation. You will be responsible for the development and implementation of novel computer vision and learning algorithms to automate natural language descriptions of scenes. You will also be responsible for preparing research reports and presentations and documenting software.

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 queries can be addressed to Philip Torr at the email address below.

Only applications received before 12.00 midday on 27 February 2014 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.