英国爱丁堡龙比亚大学计算机学院2022年招聘博士后

爱丁堡龙比亚大学（Edinburgh Napier University）是英国苏格兰地区最大的公立综合性大学之一，也是苏格兰最优秀的现代大学，在全英国年轻大学中排名前五。

据英国高等教育统计局(HESA)统计，爱丁堡龙比亚大学是英国“十大就业率最高的院校”，并多次被《金融时报》《卫报》等英国权威媒体评为“全英就业率最高的大学”之一。

大学始建于1964年，校名源自于16世纪的哲学家、数学家及对数公式的发明人——约翰·龙比亚（John Napier，又译约翰·奈皮尔）。大学位于苏格兰的首府爱丁堡市，这是一座拥有悠久历史的文明古城，环境优美、气候宜人，同时也是著名的旅游城市。爱丁堡不仅是欧洲重要的金融业、保险业中心，同时也是欧洲电子信息技术等高科技研究中心。

Research Fellow - Full-time, Fixed term for 24 months

Edinburgh Napier University

Job description

Edinburgh Napier University is seeking to appoint a full-time (or part-time) Postdoctoral 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 may 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. Amir 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 demonstrators by radically exploiting and integrating the transformative potential of privacy-assuring and explainable AI, 5G, IoT, wireless sensing and cybersecurity, coupled with flexible (skin-based) electronics. More details on: https:// 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 and conversational agents. Current priority areas for the Research Fellow include the followings:

Real-time audio-visual (AV) speech enhancement in multi-modal real-life and AR/VR environments, with a focus on privacy-preserving/federated and explainable machine/transfer learning models, 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-aware AV speech enhancement in real-life and AR/VR environments).

Real-time 5G-IoT and wireless sensing enabled AV hearing-aid prototype development, including exploring novel approaches to MEMS (micro- electromechanical systems) antenna integration and brain-inspired flexible/quantum-electronics based wearable implementations. (COG-MHEAR priority area - this work may involve stays at the Universities of Glasgow and 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

Undertake 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

A strong relevant publication 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 profilehere. Informal inquiries can be made to Prof Hussain (a.hussain@napier.ac.uk)

Benefits We Offer

Salary: £34,308 – £40,931 per annum / pro rata (Grade 5)

Global Talent Visa (where applicable): This position qualifies the successful applicant to apply for the prestigious Global Talent Visa under the fast-track route.

Further information about our benefits can be found here.

Additional Information

Application Closing Date: Wed, 30th Nov 2022

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