Postdoctoral Research Assistant in Audio Signal Processing

Organization: Queen Mary University of London

Department: School of Electronic Engineering & Computer Science

Salary: £49,000-£54,000

Duration: 12 months

Application deadline: 1 April 2024

About the Role

We are seeking to appoint a Postdoctoral Research Assistant for the project “Deep learning for Audio Source Separation”. The responsibilities of the role are to investigate, evaluate and implement deep learning technologies for audio and music source separation; lead and co-author publications; and collaborate with project partners.

The project will be conducted at Centre for Digital Music (C4DM), supervised by Dr Lin Wang and Prof Mark Sandler. The project is closely collaborating with an industry partner specialized in audio source separation.

The role will be funded for 12 months in the first instance, with an expected start date of 1st April 2024. The role will be jointly employed by QMUL and the industry partner, with a very competitive salary totalling in the range of £49,000-£54,000.

About You

Applicants must hold a degree (PhD for post-doctoral level) in Computer Science / Electronic Engineering, or a related field. It is essential for candidates to have experience with deep learning methods, specifically audio source separation, music information retrieval, audio processing or a related discipline and strong programming skills in Python. Candidates will have a demonstrable ability to work independently and as part of a team, as well as experience with conducting research, understanding the research process and summarising findings.

How to Apply

The appointment needs to start as soon as possible. We will assess applications every day (20-31 March) until the position is filled. The best-qualified candidates will be invited for an interview. Please apply as early as possible in order to be considered.

Please apply by sending email to Dr Lin Wang ( AT with your CV and cover letter, indicating your earliest start time.

Certificates, references and research papers should not be provided at this stage.