Organisation/Company: UNIVERSITY OF SURREY
Research Field: Computer science
Researcher Profile: Recognised Researcher (R2), First Stage Researcher (R1)
Country: United Kingdom
Application Deadline: 2 Mar 2025 - 00:00 (UTC)
Type of Contract: Permanent
Job Status: Full-time
Offer Description
The Centre for Vision, Speech, and Signal Processing is seeking to recruit several posts to support a new project in generative AI, computer vision and LLM development. These posts include research fellowships, Research Software Engineers, and Project Management. 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. Surrey's Institute for People Centred AI builds on 38 years of work into foundational AI at the Centre for Vision, Speech and Signal Processing (CVSSP), which is ranked 1st in the UK for Computer Vision and in the top-5 for both Audio-Visual AI and Robotics (CS Rankings, Sept 2024).
These posts are part of a new five-year project “SignGPT” which will build tools to allow spoken language to be automatically translated into photo-realistic sign language and video of sign language to be translated into spoken language. The project is a collaboration between the University of Surrey (Prof Bowden), the University of Oxford (Prof Zisserman), and UCL (Prof Cormier and Woll).
We are seeking two research fellows to undertake the core research within the project, although they will also contribute to other related research projects within the group. Subject to skills, we will be allocating one post to video recognition/translation and one to video production.
The applicant should have a PhD in a related area with a strong track record of publishing high-quality research. Previous experience of sign language recognition and translation would be advantageous, as would experience of supervising research. The candidate should have good analytical and programming skills and experience of computer vision and machine learning. Previous experience of real-time systems development in Python, OpenCV, PyTorch, and deep learning are essential. Experience of computational linguistics, C/C++/C#, TensorFlow would be beneficial. Knowledge of sign language and awareness of Deaf culture would be advantageous. Applicants are expected to be proactive, to support other researchers, and to be self-motivated. The post will be for up to 3 years in the first instance with a possible extension of up to another 3 years.
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.
Please upload your CV and a covering letter on the University website.
The University of Surrey reserves the right to close this vacancy early based on the volume and calibre of applications.
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.
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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