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ENGINEERING SCIENCE

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Postdoctoral Research Assistant in Computer Vision

Salary

Grade 7 £32,817 - £33,797 p.a.

Closing date

Apr 21, 2021 12:00PM

Description

We are seeking an experienced full-time Postdoctoral Research Assistant’s in Computer Vision to join Prof Victor Adrian Prisacariu’s and Prof Philip Torr’s research groups at the Department of Engineering Science (central Oxford). This is a fixed term role until 31st August 2022 with funding provided by industry. Both groups are internationally leading research groups that have numerous scientific awards and have close links with some of the top industrial research labs.

 

This is a research project that aims to link 3D object reconstruction using SfM and/or depth fusion with 3D deep learning, with a strong focus on accuracy.

 

You will be required to develop and implement novel computer vision and learning algorithms to reconstruct 3D object geometry whilst also contributing documented software to the group library. You will also write reports on your research, and publish these as papers in leading conferences and journals.

 

You should possess a doctorate, or be near completion of a doctorate, in Computer Vision, Machine Learning or a relevant subject, together with a strong publication record at principal computer vision conferences (CVPR, ECCV, ICCV and BMVC), with a background 3D geometry (depth fusion/SLAM/object tracking and reconstruction) and/or deep learning. 

 

Informal enquiries may be addressed to victor@robots.ox.ac.uk or philip.torr@eng.ox.ac.uk

 

Only applications received before midday on the 21st April 2021 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 name

Professor Philip Torr

Contact email

philip.torr@eng.ox.ac.uk

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