We are seeking a full-time postdoctoral research assistant to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). The post is funded by a CCAV Grant ‘StreetWise’ and is fixed-term until 29 February 2020 with the possibility of extension. 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 1
The objectives of the project are to deliver an autonomous car service in central London in collaboration with new British company FiveAI (2). 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 required to develop and implement novel computer vision and learning algorithms for autonomous vehicles. In addition to this you will 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. You should also have 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; as well as someone who has worked on holistic scene understanding but other top rated research will definitely be considered.
Informal enquiries may be addressed to Philip Torr using the email address below.
Only applications received before 12.00 midday on Wednesday 4th April 2018 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.
Contact: Philip Torr