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/
What you will get in return:
As an equal opportunities employer we support an inclusive working environment and welcome applicants from all sections of the community regardless of age, disability, ethnicity, gender, gender expression, religion or belief, sex, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working – you can find out more here
Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any CV’s submitted by a recruitment agency will be considered a gift.
Enquiries about the vacancy, shortlisting and interviews:
Name: Prof Gabrielle saunders
Email: gabrielle.saunders@manchester.ac.uk
General enquiries:
Email: People.recruitment@manchester.ac.uk
Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
Please be aware that due to the number of applications we are unfortunately not able to provide individual feedback on your application.
