Postdoctoral Research Assistant in Computer Vision & Machine Learning
Grade 7 £32,817 - £33,797
Nov 19, 2020 12:00PM
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 31st December 2021 with funding provided by The University of Oxford's COVID-19 Research Response Fund.
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 http://www.robots.ox.ac.uk/~tvg/.
The project focuses on developing an early-warning system with machine learning techniques to predict COVID-19 malignant progression. The project investigates deep learning to analyse the clinical information and imaging data of outpatients. You will be responsible for the development and implementation of novel computer vision and learning algorithms.
You should possess a doctorate, or be near completion of doctorate, in Computer Vision ,Machine Learning or a relevant subject 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 email@example.com.
Only applications received before midday on the 19th November 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.
Professor Philip Torr
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