Research Fellow in Computer Vision and Deep Learning

Vision, Speech & Signal Processing

Location: Guildford

Salary: £39,347 to £49,794 per annum and dependent on level of appointment

Fixed Term for 24 months.

Post Type: Full Time

Closing Date: 23.59 hours BST on Friday 12 April 2024

Interview Date: To be confirmed

Reference: 061323-R

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 translation. 

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 Natural Language Processing (NLP), Computer Vision (CV) and Machine Learning (ML) for the translation between spoken Language and Sign Languages. It will include the application of NMT techniques and Large Language Models (LLMs). 

There are also opportunities to contribute to other projects including data collection, text simplification, video generation and sign language recognition. 

What we are looking for

• A PhD in a related area with a track record of publishing high quality research.
• Experience of Natural Language Process (NLP), Neural Machine Translation (NMT) or Large Language Models (LLMs) would also be advantageous. 
• 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 an initial fixed term contract for 24 months.

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

Interview date to be confirmed.

Further details: Job DescriptionJob 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.