英国牛津大学计算机视觉研究博士后职位招聘

　　POSTDOCTORAL RESEARCH ASSISTANT IN COMPUTER VISION

　　University of Oxford

　　Oxford OX1 2JD, UK

　　Job Description

　　Postdoctoral Research Assistant in Computer Vision

　　Department of Engineering Science, Parks Road, Oxford

　　Grade 7: £32,817 - £33,797 p.a.

　　We are seeking a full-time Postdoctoral Research Assistant to join Professor Torr's research group at the Department of Engineering Science (central Oxford). This post is fixed-term to the 31 May 2021 with funding provided by Innovate UK.

　　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 research that will be carried out within this project requires application and advancement of the most recent techniques in the subjects of Image based 3D reconstruction, Human body statistical analysis, and Deep Learning of 3D shapes. These are all active research areas, and we have an opportunity to both collate the current state of the art and to drive the direction of future research. You will be responsible for the development and implementation of novel computer vision and learning algorithms to automate 3D reconstruction of humans from video.

　　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 (NIPS, ICLR, ICML, CVPR, ECCV, ICCV), with a background in machine learning.

　　Informal enquiries may be addressed to: philip.torr@eng.ox.ac.uk.

　　Only applications received before 12.00 midday on 27 April 2020 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 Person :

　　Professor Philip Torr

　　Vacancy ID :

　　145974

　　Contact Phone :

　　Closing Date & Time :

　　27-Apr-2020 12:00

　　Contact Email :

　　philip.torr@eng.ox.ac.uk

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