Applications are invited for a 2-year Research Fellow in Design Research for Sound Sensing, to work full-time on an EPSRC-funded Fellowship project “AI for Sound”, to start on 12 December 2022 or as soon as possible thereafter. The aim of the project is to undertake research in computational analysis of everyday sounds, in the context of a set of real-world use cases in assisted living in the home, smart buildings, smart cities, and the creative sector.
The post holder will be responsible for participative engagement with domain experts and users, including assessing user requirements, running and engaging in design workshops, and conducting evaluation studies on the project, both to drive the technology research, and to ensure successful development and application of the project technology. The postholder will be based in CVSSP and work under the direction of PI (EPSRC Fellow) Prof Mark Plumbley.
The successful applicant is expected to have a PhD (gained or near completion) in Design Research, Human Computer Interaction, Interaction Design, Service Design, or a closely-related discipline, or equivalent professional experience, and experience in assessing user requirements, conducting evaluation studies, and using participatory research methods. Experience of running and/or engaging in design workshops, research experience in design for human interaction with sounds and/or soundscapes is desirable; as is experience in the organisation of public engagement activities. Interests related to noise and soundscapes and the role of sound in society is also desirable.
CVSSP is an International Centre of Excellence for research in Audio-Visual Machine Perception, with 125 researchers, a grant portfolio of £24M (£17.5M EPSRC) from EPSRC, EU, Innovate UK, charity and industry, and a turnover of £7M/annum. 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. CVSSP has a compute facility with 120 GPUs for deep learning and >1PB of high-speed secure storage.
Applications are encouraged from women, disabled and Black, Asian and minority ethnic candidates, since these groups are currently underrepresented in our area.
For more information about the post and how to apply, please visit:
Deadline: Wednesday 23 November 2022 (23:59 BST)
For informal inquiries about the position, please contact Prof Mark Plumbley (firstname.lastname@example.org).