Research Associate in Machine Learning for Hearing Aid Signal Processing

Contract Type: Start date as soon as possible with a duration of 18 months. However, if the start date is 1st April 2023 or later, then the post will have a fixed end date of 30th September 2024.

Faculty: Faculty of Engineering

We are seeking a postdoctoral Research Associate in machine learning (ML) for hearing aid signal processing. 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. 

The Department of Computer Science was established in 1982 and has since attained an international reputation for its research and teaching. In the 2021 Research Excellence Framework (REF) exercise, 99% of our research was rated as either ‘world leading’ or ‘internationally excellent’. Much of our research spans the boundaries between engineering, medicine and the life sciences. Research in the Department is organised into a number of groups: Machine learning, Algorithms, Complex systems modelling, Natural language processing, Speech and hearing, Organisations, information and knowledge (OAK), Verification and testing, Visual computing, and Security of Advanced Systems. We attract substantial external funding from UK Research Councils, the European Union and industry. Our record for

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development. 

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience. 

To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information. 

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