|Salary:||£36,333 to £44,414 per annum (Grade 7)|
|Placed On:||21st March 2023|
|Closes:||18th April 2023|
Contract type: Fixed term – with a start date as soon as possible, and an end date of 30/09/2024
We are seeking a Research Associate in machine learning (ML) for hearing aid signal processing to work on an 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 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 claritychallenge.org.
You will have experience of Python software development, 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 work with the project team and members of the international research community to coordinate these challenges. You will conduct novel research in speech intelligibility enhancement and speech intelligibility prediction, developing novel approaches and building on techniques being pioneered within the project. 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.
You will be working in the Speech and Hearing Research Group (SPandH), an internationally-leading group for speech research. SPandH has a 30-year history and is one of the largest speech research centres in the UK with 9 academics and 8 additional full-time research staff. The group hosts the UKs Centre for Doctoral Training in Speech and Language Technology and is home to over 40 UK and International PhD students.
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.
When applying please make sure that your cover letter explains your suitability for the post in reference to the criteria specified in the “About The Job”. In particular, in addition to the technical skills, we are looking for applicants who can demonstrate an ability to work effectively in a multidisciplinary project, who have good communication skills and with software development skills that will allow them to work effectively with our existing Python code base.
Apply now by clicking on the Apply button located near the top of your screen.
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