Research Fellow in Multimodal Hearing Assistive Technology

Full-time - Fixed term for up to 16 months

Edinburgh Napier University is seeking to appoint a full-time Research Fellow for the prestigious EPSRC funded Programme Grant: COG-MHEAR, led by Programme Director: Professor Amir Hussain.

As a Research Fellow, you will have the opportunity to work alongside renowned academics and researchers in the School of Computing, Engineering and the Built Environment.

COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized multimodal hearing assistive technology. It includes academic partners from 6 other UK Universities and a strong User Group comprising industrial and clinical collaborators, and end-user engagement organisations. For more details, visit our website: cogmhear.org.uk

Further information about the School of Computing can be found here. Additional facts and figures on the University can be found here.

The role

The role involves taking a leading role in COG-MHEAR under the direction of Prof. Hussain, working on privacy-preserving and explainable AI and multimodal speech enhancement for next-generation hearing-aids and assistive technology. This will also involve management, supervision and administrative responsibilities associated with research duties.

Main Duties and Responsibilities

• Undertake world-leading research in developing and evaluating real-time multi-modal machine learning models for hearing-aid speech enhancement and naturalistic evaluation in real-world environments.
• Manage, supervise, and administer research duties.
• Prepare peer-reviewed publications for high-impact journals and conferences.
• Collaborate with other COG-MHEAR project teams
• Liaise with project researchers, collaborating companies, clinicians and end-users in the User Group, to ensure overall COG-MHEAR programme goals are met
• Contribute to proposals to secure future research funding
• Undertake other relevant activities under the direction of the Programme Director

Who we are looking for

A highly motivated and enthusiastic individual who brings:

• Must be awarded a PhD degree in a closely relevant field (e.g. Machine Learning, Speech Processing, Systems Engineering)
• Expertise in low-latency machine learning, audio-visual speech processing, hearing-aid signal processing, multi-modal speech and natural language processing, Edge AI or related areas.
• Strong publication record in top journals and conferences
• Proven ability to solve real-world problems independently and make original contributions to collaborative research
• Excellent programming, quantitative research and teamworking skills

For a detailed list of the requirements, please read the full role profile here. Informal inquiries can be made to Prof Hussain (a.hussain@napier.ac.uk)

Benefits we offer

Salary: £36,924 - £41,421 (Grade 5)

Further information about our benefits can be found here.

Additional Information

Application Closing Date: 17^th October at 11:59pm

Interviews are likely to be held on 25^th October 2024

The University may be able to sponsor the employment of international workers in this role. This will depend on several factors specific to the successful applicant. Check salary criteria for the visa on www.gov.uk/skilled-worker-visa. Contact us to discuss individual circumstances on recruitment@napier.ac.uk.

Edinburgh Napier is committed to creating an environment where everyone feels proud, confident, challenged and supported and are holders of Disability Confident, Carer Positive and Stonewall Diversity Champion status. Please see here for more information.

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