We are seeking a full-time Postdoctoral Research Assistant in Computer Vision to join Professor Torr’s research group at the Department of Engineering Science (central Oxford). The post is funded by Huawei and is fixed-term until 24 December 2019, with the potential 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 objective of the project is to further the state of the art in part and instance segmentation in images. Automatically delineating object instances in images is a fundamental research area in computer vision, with far-reaching applications. Instance segmentation poses a greater challenge than semantic segmentation because it additionally involves separating out the different objects within each object category, some of which may be occluding each-other. It is also more complex than classical bounding-box object detection because it requires that each object is pixel-wise segmented. In fact, many previous attempts have combined semantic segmentation and detection to find instances, with promising results.
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, 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; 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 Professor Philip Torr using the email address below.
Only applications received before 12.00 midday on Wednesday 4 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