Research Fellow

Edinburgh, City of Edinburgh (GB)
£33,309 - £39,739 per annum, pro-rata
28 Jun 2022
End of advertisement period
10 Jul 2022
Contract Type
Fixed Term
Full Time

Job title: Research Fellow - COG MHEAR - Full Time, up to 30 months Fixed Term

Job reference: 0000215757

Date posted: 28/06/2022

Application closing date: 10/07/2022

Salary: £33,309 - £39,739 (Grade 5) per annum, pro-rata

Package: Excellent Benefits Package

Contractual hours: 35

Basis: Full Time

Job description
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 priority COG-MHEAR and NATGEN project areas, involving development of trustworthy machine learning approaches for audio-visual speech enhancement, intelligibility prediction and conversational agents. Current priority areas for the Research Fellow include the following:
    • Real-time audio-visual (AV) speech enhancement models for personalised multi-modal hearing-assistive technologies, with a focus on federated and explainable machine/transfer learning, AV beamforming and large-scale optimisation for low-energy, mobile/edge and on-chip systems. (COG-MHEAR priority area)
    • Emotion-sensitive, multi-modal natural language processing/generation and evaluation of conversational agents in low-resource domains. (NATGEN priority area with links to related COG-MHEAR projects on multi-modal cognitive load/listening effort detection and intelligibility prediction to enhance AV speech enhancement models).
    • 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. (COG-MHEAR priority area - this work may involve external stays at the University of Manchester).
  • 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 funding.

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)

For general recruitment queires, please contact recruitment@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 10 July @ 11:59pm

Interviews: Tuesday 19 July

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.