Connectionists: University of Oxford, Postdoctoral Research Assistant in Computer Vision

Joanna Zapisek joanna.zapisek at eng.ox.ac.uk
Mon Feb 21 05:51:57 EST 2022


Hello,

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 (University of Oxford). This is a fixed term role for 18 months 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 at robots.ox.ac.uk or philip.torr at eng.ox.ac.uk

Only applications received before midday on the 28th February 2022 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.

The University of Oxford is committed to equality, diversity and inclusivity. We welcome applications from everyone, regardless of the categories they put themselves in.
We are keen to offer opportunities, where possible, to people from groups who are currently underrepresented in science, technology, engineering and mathematics (STEM) in the UK, such as women and individuals from black or Asian backgrounds.

To apply go to https://my.corehr.com/pls/uoxrecruit/erq_jobspec_version_4.display_form?p_company=10&p_internal_external=E&p_display_in_irish=N&p_process_type=&p_applicant_no=&p_form_profile_detail=&p_display_apply_ind=Y&p_refresh_search=Y&p_recruitment_id=155875


Thank you,
Joanna

[cid:694DA3CF-6F66-4FBC-A3E2-A0586029DE1B]Joanna Zapisek
Senior Research Manager
Professor Torr Vision Group
University of Oxford
Department of Engineering Science
Parks Road, Oxford, OX1 3PJ
t: +44 (0) 1865 273130 e: Joanna.zapisek at eng.ox.ac.uk<mailto:Joanna.zapisek at eng.ox.ac.uk>
w: https://torrvision.com/

I'm working part time (Mon, Wed, Fri full day; Tue and Thurs mornings)

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