ENGINEERING SCIENCE

Careers

Postdoctoral Research Assistant in Computer Vision (2 posts)

Salary

Grade 7: £32,817 - £40,322 p.a.

Closing date

Feb 13, 2020 12:00PM

Description

We are seeking two full-time Postdoctoral Research Assistants (PDRA) to join the Visual Geometry Group at the Department of Engineering Science in central Oxford. The post is funded by Continental Corporation and is fixed-term to 31 December 2021 with the possibility to extend to 31 December 2022.


The successful candidates will have an opportunity to work on cutting-edge computer vision and machine learning research projects. You will develop new deep learning algorithms for highly reliable visual object detection, semantic image segmentation, human pose and action understanding, and similar. You will write algorithms and manage your own academic research. The successful candidates will be embedded in Oxford Information Engineering group, home to some of the most successful international computer vision groups. While the aim is to develop core machine learning algorithms for core computer vision problems, the candidates can expect the research to be a major innovation driver for Continental’s applications to automotive.


Candidates should have (or be about to complete) a PhD in a relevant field. Candidates are expected to have a solid background in deep learning and computer vision, a strong personal drive towards innovation and leadership, and the ability to develop high-performance algorithms both theoretically and practically. A solid publication record in top-tier computer vision and machine learning conferences is expected.


Informal enquiries may be addressed to Andrea Vedaldi using the email address below (with subject “Continental PDRA”).


Further information can be found at: www.eng.ox.ac.uk/jobs/home


Only applications received before 12.00 midday on 13 February 2020 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how your past experience fits 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

Andrea Vedaldi

Contact email

vedaldi@robots.ox.ac.uk

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