The appointment needs to start as soon as possible. We will assess the applicants in a weekly basis (10, 17, 24, 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.
About the Role
We are seeking to appoint a Research Assistant or 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 earliest appointment will be 1 April 2024, with an initial duration of 12 months. We offer very competitive salaries, in the range of £49,000-£54,000 for post-doctoral level.
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
Please apply by sending email to Dr Lin Wang (lin.wang@qmul.ac.uk) with your CV and cover letter, indicating your earliest start time.
Certificates, references and research papers should not be provided at this stage.