The Centre for Vision, Speech, and Signal Processing is seeking to recruit a full-time research assistant 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.
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. You will be assisting in data curation, processing and analysis. But there will be opportunities to contribute to other projects subject to skill set. Previous experience of sign language recognition, translation and linguistics are essential. Candidates should have good analytical and programming skills and some experience of computer vision and machine learning. Previous experience of real time systems development C/C++/C#, Python, OpenCV, PyTorch and deep learning would be advantageous.
What we can offer
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, an attractive research environment, the latest teaching facilities and access to a variety of staff development opportunities.
Further Information
To apply please upload your CV and a cover letter outlining your suitability for the position.
Informal enquiries related to the project should be directed to Professor Richard Bowden by email: r.bowden@surrey.ac.uk.
The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We value everyone in our community and are seeking to increase the diversity. Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.