We are seeking three full-time postdoctoral research assistants to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). The posts are funded by a CCAV Grant ‘StreetWise’. It is fixed-term for 2 years. 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 objectives of the project are to deliver an autonomous car service in central London in collaboration with new British company FiveAI (www.five.ai/). This throws up a large number of fundamental problems in computer vision and reinforcement learning, within which there is large scope for academic freedom, the applicant would be advised to study the groups recent research publications to get an idea of the work directions which include, object recognition, tracking, 3D reconstruction, navigation and reinforcement learning. You will be responsible for the development and implementation of novel computer vision and learning algorithms to automate semantic SLAM via reinforcement learning. In addition you will be required to write timely reports on your research, and publish these as papers in leading conferences and journals.
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 or machine learning conferences, with a background in one of graphical models, combinatorial optimisation, semantic segmentation and machine learning. In particular we are looking for someone who has worked and innovated in reinforcement learning or holistic scene understanding but other top rated research will definitely be considered.
Informal enquiries may be addressed to Professor Phil Torr using the email address below.
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 Thursday 4 January 2018 can be considered.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Please note that the University of Oxford's retirement policy has changed. With effect from 1 October 2017, all employees at Grade 8 and above have a retirement age of the 30 September before the 69th birthday. All employees at Grades 1-7 do not have a set retirement age. Further details are available here: www.ox.ac.uk/about/jobs/preemploymentscreening.
Contact: Professor Philip Torr