Research Fellow, COG MHEAR

Edinburgh, United Kingdom
£33,309 - £39,739 (Grade 5) per annum, pro-rata
27 Apr 2022
End of advertisement period
22 May 2022
Contract Type
Fixed Term
Full Time

Edinburgh Napier University is looking to appoint a full-time Research Fellow for the prestigious EPSRC funded Programme Grant: COG-MHEAR, led by Programme Director (PD): Professor Amir Hussain, based in the School of Computing. The work will involve conducting related research as part of the EPSRC funded project on Natural Language Generation for Low-Resource Domains (NATGEN), jointly led by Dr Dimitra Gkatzia and Prof Hussain.

COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. It aims to develop the world’s first multi-modal hearing-aid demonstrator by radically exploiting and integrating the transformative potential of privacy-assuring and explainable AI, 5G, IoT and cybersecurity, coupled with flexible (skin-based) electronics. More details on: http://cogmhear.org.uk

NATGEN is pioneering the development of privacy-preserving and emotion-sensitive conversational agents for natural language dialogue in low-resource domains. This is aimed at helping improve the mental health of young people.

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 research role in one or more individual, collaborative project in COG-MHEAR and supporting priority NATGEN project areas, under the direction of Prof Hussain. Flexible part-time appointments may also be considered.

Main Duties and Responsibilities

Reporting to Prof Hussain, the post-holder will:

  • Undertake world-leading research in one or more individual COG-MHEAR project and priority NATGEN project areas, involving development of responsible/trustworthy machine learning approaches for audio-visual speech enhancement, intelligibility prediction and conversational agents. Priority research areas for the research fellow will include one or more of the following:
    • Audio-visual (AV) speech enhancement for multi-modal hearing-assistive technologies, with a focus on federated/distributed machine learning and optimisation for mobile/edge and on-chip systems
    • Emotion-sensitive natural language processing/generation and evaluation of conversational agents in low-resource domains.
    • Real-time 5G-enabled AV hearing-aid prototype development, including exploring novel approaches to MEMS (micro-electromechanical systems) antenna integration and brain-inspired flexible/quantum-electronics based implementations.(This work will involve external stays at the University of Manchester). 
    • Embedded system design and high-performance computing with a focus on hardware reconfiguration techniques for full-system-on-chip implementation of brain-inspired computing architectures for real-time AV speech enhancement. (This work will involve external stays at the University of Wolverhampton and University of Edinburgh).
  • Undertake management, supervision and administrative responsibilities associated with research duties
  • Preparation of peer-reviewed publications for high-impact journals, conferences, and dissemination of research results at international and national conferences.
  • Plan and manage own research activity in collaboration with other COG-MHEAR project teams
  • Regular liaison with other COG-MHEAR and NATGEN project researchers, our collaborating companies, clinicians, and end-users in the User-Group to ensure overall programme goals are met
  • Develop and contribute to proposals to secure future research fundingUndertake other activities as appropriate to COG-MHEAR and NATGEN, under the direction of the PD

Who We Are Looking For

A highly motivated, dynamic, and enthusiastic individual who brings:

  • World-class research experience in machine learning, audio-visual speech processing, hearing-aid signal processing, natural language processing/generation, high performance computing or related areas
  • Strong relevant publications record in top journals and conferences.
  • A track-record of contributing to funding proposals and making effective independent contributions to collaborative research teams
  • A demonstrated ability to solve real-world problems independently and make original contributions to research
  • Excellent programming and 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: £33,309 - £39,739 (Grade 5) per annum, pro-rata

Further information about our benefits can be found here

Additional Information

Application Closing Date: Sunday 22 May

Interviews: Monday 30 May, with a start date as soon as possible thereafter.

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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