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Research Fellow in Computer Vision and Deep Learning

Employer
UNIVERSITY OF SURREY
Location
Surrey, United Kingdom
Salary
£45,585 to £54,395 per annum and dependent on level of appointment
Closing date
14 Jan 2024

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Vision, Speech & Signal Processing

Location: Guildford
Salary: £45,585 to £54,395 per annum and dependent on level of appointment
Fixed Term Contract to 31st January 2025
Post Type: Full Time
Closing Date: 23.59 hours GMT on Sunday 14 January 2024
Interview Date: Tuesday 30 January 2024
Reference: 061323

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. 

Our culture empowers people to achieve this aim and to collectively make a real difference.

About us

The Centre for Vision, Speech, and Signal Processing is seeking to recruit a full-time researcher to contribute to a number of projects including sign language data processing and recognition. 

You will join an established research group within a highly rated research department, with an excellent computing and software infrastructure for first class research, modern facilities and close links with industry.

About the role 

The work will involve the use of computer vision and machine learning for the identification, tracking and estimation of humans in video with specific application to the recognition of sign language. 

There are also opportunities to contribute to other projects including autonomous robotics, UAVs and autonomous vehicles subject to skill set. 

What we are looking for

  • A PhD in a related area with a track record of publishing high quality research.
  • Previous experience of sign language recognition and translation would be advantageous as is experience of supervising research. 
  • Good analytical and programming skills and experience of computer vision and machine learning. 
  • Experience of real time systems development C/C++/C#, Python, OpenCV, PyTorch, TensorFlow and deep learning are essential. 
  • Be self-motivated and proactive in approach to support other researchers.

The University of Surrey is a global university with a world-class research profile and an enterprising spirit, located in one of the safest counties in England, within 35 minutes of London by train and minutes away from the Surrey Hills, an Area of Outstanding Natural Beauty. Recent investments have seen the opening of a world-class Sports Park and important updates to central facilities.

We can offer a generous remuneration package, which includes relocation assistance where appropriate, an attractive research environment, the latest teaching facilities and access to a variety of staff development opportunities.

Informal enquiries related to the project to Professor Richard Bowden by e-mail: r.bowden@surrey.ac.uk.

This is a fixed term contract to 31st January 2025

Please submit your CV and a covering letter with your application.

Interview date planned Tuesday 30th January 2024

Further details:    Job Description    

For more information and to apply online, please download the further details and click on the 'apply online' button above.

In return we offer a generous pension, relocation assistance where appropriate , flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery.

Click here to find out more about the benefits we offer to support you.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.  We place great value on diversity and are seeking to increase the diversity within our community.  Therefore we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.

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