The post is working as a Research Associate at the Manchester Centre for Audiology and Deafness (ManCAD). You will work full-time on a research study funded by the William Demant Foundation examining listening intentions in everyday life and how they shape hearing aid outcomes with the ultimate aim of using the information to personalise hearing aid settings and thus improve hearing aid outcomes. We plan to use machine-learning to identify markers of listening intentions from data collected via sound recordings, photographs, ecological momentary assessments (EMA), and passively monitored behavioural, physiological, and environmental acoustic variables.
This post would suit someone with a PhD in biomedical engineering, data science, machine learning, experimental psychology, audiology, cognitive science, computational neuroscience, computer vision, or other relevant discipline.
This is a fixed-term contract for 24 months in the first instance, but depending on funding there might be the opportunity for further work on other research projects at ManCAD.
The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Silver Award which recognises their good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. We particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit: https://www.bmh.manchester.ac.uk/about/equality/

Please refer the Job description for details