Research Fellow in Algorithmic Sensing for Music

Research Fellow in Algorithmic Sensing for Music

Full-Time 38784 - 46049 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and develop algorithms for innovative digital musical instruments using motion sensors.
  • Company: Join the University of the West of England's cutting-edge MICA Lab.
  • Benefits: Enjoy competitive salary, generous leave, and professional development opportunities.
  • Other info: Collaborate with disabled musicians and contribute to meaningful change in inclusion.
  • Why this job: Make a real impact in music technology and accessibility for diverse musicians.
  • Qualifications: PhD or equivalent experience in relevant fields like HCI or computer science.

The predicted salary is between 38784 - 46049 £ per year.

Applications are invited for the position of Research Fellow in Algorithmic Sensing for Music to create a new generation of expressive digital musical instruments. You will design, develop, and evaluate algorithms for detecting tactile interactions with objects and mechanisms using high‑fidelity hand‑worn motion sensors. Additionally, you will contribute to the organisation of user studies and workshops, for co‑designing and evaluating this technology with diverse participants, including disabled musicians. You will publish your work at major music technology and human‑computer interaction conferences and journals.

The successful candidate will be based in the School of Computing and Creative Technologies at The University of the West of England, Bristol. They will join the Music Interaction and Computational Arts (MICA) Lab working on the UK Research and Innovation (UKRI) funded Future Leaders Fellowship “Sensing Music Interactions from the Outside‑In: Accessible Innovation Fusing Wearable Technology and Physical Prototyping”. The project will examine technologies and methods to support the co‑design and development of bespoke and accessible digital musical instruments. Project partners include MiMU Gloves, x‑io Technologies, Watershed, and Drake Music.

We seek applications from enthusiastic individuals who are strongly motivated to help push the boundaries of research and technology in music and human‑computer interaction. As a Research Fellow you will hold (or be close to completion of) a PhD in signal processing, computer music, human‑computer interaction (HCI), computer science, artificial intelligence, electronic engineering, mechatronics, robotics, design engineering, or another relevant field with a suitable publication track record. Equivalent knowledge and experience gained through alternative pathways are also welcomed. You should have excellent communication skills, show a high level of initiative and be able to collaborate effectively with disabled and non‑disabled colleagues and participants.

The project and team are committed to meaningful improvement and change in terms of inclusion and accessibility. Diversity enhances research, and we welcome applications from those who will bring balance to our team, including those from communities who experience racism, sexism, ableism or any other barriers. The project includes collaborations with disabled musicians, and we are led by the social model of disability. Consequently, disabled researchers and those with lived experience of disability are encouraged to apply.

Candidates should be willing to occasionally work out of typical working hours (including weekends), for example, to attend performances or demonstrations, and to travel both nationally and internationally to conduct research and attend conferences.

The post will be located within a multidisciplinary space called The Bridge Studios, a cutting‑edge creative technology facility funded by the Arts and Humanities Research Council and the West of England Combined Authority. The Bridge is located on our lively Frenchay campus, adjacent to the Centre for Print Research and Bristol Robotics Laboratory.

We offer a wide range of employee benefits including progressive pay rates, generous annual leave and career average pension schemes as well as retail savings, onsite nursery and opportunities for training, personal and professional development. We also support access to work applications and will work flexibly to identify and remove disabling barriers.

This is a 24 month fixed‑term post and is full‑time working on a 1.0 FTE contract. The post is available on a job share basis for applicants wishing to work part‑time. Interviews are scheduled to take place at our Frenchay Campus on the week commencing 31/08/2026.

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Contact Details:

Midwifery at the University Recruitment Team

We think you need these skills to ace Research Fellow in Algorithmic Sensing for Music

Algorithm Design
Signal Processing
Human-Computer Interaction (HCI)
Computer Music
Artificial Intelligence
Electronic Engineering
Mechatronics