Research Fellow or Senior Research Fellow in AI in Audiology

Job reference: BMH-027644
Salary: Grade 7: £46,485 - £56,921 / Grade 8: £58,596 - £76,125 per annum, dependent on relevant experience
Faculty/Organisational unit: Biology, Medicine Health
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Division of Psychology, Communication and Human Neuroscience
Hours per week: Part time or Full time (1 FTE)
Closing date (DD/MM/YYYY): 24/02/2025
Contract duration: 36 months from 01/04/2025
School/Directorate: School of Health Sciences

About the post:

The post is for a Research Fellow or a Senior Research Fellow to establish and lead a programme of research in AI in Audiology for the Hearing Heath Theme of the Manchester BRC at the Manchester Centre for Audiology and Deafness (ManCAD). We are looking for an individual who has creative ideas for incorporating AI and machine learning (ML) into audiological research, clinical practice and teaching, and who can support and advise on ongoing research at ManCAD that would benefit from use of AI/ML.  We expect this individual to seek out collaborations with auditory researchers around the world, and to apply for research funding that will support a thriving programme of research. The role can be  full-time or part-time.  

This is a fixed-term contract for 36 months in the first instance, but depending on funding and success of the programme there might be the opportunity for continued employment at ManCAD.

What you will get in return:

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, 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: Gabrielle Saunders, Professor of Audiology

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.

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