Apply by: February 8th, 2023
Starting date: ideally 1st April or sooner
Duration: 18 months
Location: Sheffield, UK
Salary: £35,333 to £40,931 to per annum, according to experience
The University of Sheffield is seeking a postdoctoral Research Associate in machine learning for hearing aid signal processing to join the Clarity project team. You will be joining a large, established, 5-year EPSRC project that is seeking to develop transformative approaches to hearing aid speech processing through the organisation of a series of open challenges (the 'Clarity Challenges'). The project is a running across the Universities of Sheffield, Cardiff, Nottingham and Salford, with industrial support from Amazon and the Hearing Industry Research Consortium. It provides excellent opportunities for collaboration both in the UK and internationally. For further details, visit http://claritychallenge.org/.
We welcome applicants with Python software development experience and a PhD in Speech and Hearing Technology, Machine Learning or a related area. Your role will involve authoring open-source tools and baseline systems for use in future Clarity Challenge rounds. You will then be working with the project team and members of the international research community to coordinate these challenges. You will also have the opportunity for conducting novel research in speech intelligibility enhancement and speech intelligibility prediction. The role will place you at the centre of a rapidly growing community of researchers who are using machine learning approaches to improve hearing aid performance.
For more details and to apply
For informal inquiries, please contact: Jon Barker, [email protected]
Please feel free to circulate this advert to anyone who you feel may be interested.