We are seeking an experienced Project Manager to support collaborative projects within the Centre for Vision, Speech, and Signal Processing (CVSSP) and the Surrey Institute for People-Centred Artificial Intelligence (PAI). This is a part time (21.6 hours/week), fixed term role up to January 2028.
The Role
This post will have particular responsibility for “Noise Network Plus”, a collaboration between the Universities of Surrey, Bath, Salford, and City St George's University of London, and funded by the Engineering and Physical Sciences Research Council (EPSRC). Noise Network Plus aims to bring together diverse teams and stakeholders, promote inclusive dialogue and co-design innovative solutions, to build unprecedented research capabilities to tackle the complex challenge of reducing noise and its impacts on people, the environment and the economy.
The candidate must have prior experience as a project manager and demonstrate relevant skills in planning, preparation, execution, and reporting of projects to ensure the operational aspects are clearly defined and achieved within the timelines, cost and quality guidelines. The Noise Network Plus will be hosting multiple events such as grant writing and impact workshops, summer schools and stakeholder engagement meetings. As such, event organisation experience is essential.
You will join an established research group within a highly rated research centre, with an excellent computing and software infrastructure for first class research, modern facilities and close links with industry. The Centre for Vision, Speech and Signal Processing (CVSSP) is an International Centre of Excellence for research in Audio-Visual Machine Perception. The Centre has state-of-the-art acoustic capture and analysis facilities and a Visual Media Lab with video and audio capture facilities supporting research in real-time video and audio processing and visualisation. The Surrey Institute for People Centred AI (PAI) builds on 38 years of work into foundational AI in 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).
How to Apply
Please apply with your CV and cover letter on the University website.
For informal enquiries related to the project, please contact the Principal Investigator, Professor Mark Plumbley, e-mail: m.plumbley@surrey.ac.uk.
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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