Fwd: Job opening: Research Assistant / Postdoctoral Research Assistant in machine learning and music

---------- Forwarded message ---------
From: Emmanouil Benetos <emmanouil.benetos@qmul.ac.uk>
Date: Wed, 7 Aug 2024, 15:00
Subject: Job opening: Research Assistant / Postdoctoral Research Assistant in machine learning and music
To: <MUSIC-AND-SCIENCE@jiscmail.ac.uk>

At the Centre for Digital Music of Queen Mary University of London we are recruiting for a Research Assistant / Postdoctoral Research Assistant in machine learning and music, as part of an Innovate UK funded project in collaboration with Algorivm Ltd and Edinburgh Napier University. This is a 14-month position and the closing date for applications is 31 August. Please forward the information below to any colleagues who may be interested.

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Research Assistant or Postdoctoral Research Assistant

School of EECS, Queen Mary University of London, UK
Annual Salary: 36,572 - 37,182 GBP (Research Assistant), 40,223 - 44,722 GBP (Postdoctoral Research Assistant)
Closing Date: 31 August 2024

https://qmul-jobs.tal.net/vx/mobile-0/appcentre-ext/brand-4/candidate/so/pm/1/pl/3/opp/2984-Research-Assistant-or-Postdoctoral-Research-Assistant

We are looking to appoint a Research Assistant or Postdoctoral Research Assistant in music information research to work on the project "Maestro - AI Musical Analysis Platform". The role involves investigating, developing and evaluating deep learning technologies for music performance analysis and music education, and will cover MIR tasks including automatic music transcription and audio-to-score alignment.

Applicants must hold a degree (PhD for postdoctoral level) in Computer Science, Electric/Electronic Engineering, Physics, Maths, or a related field. Able to work both independently and as part of a team, applicants will have experience with deep learning methods, music information retrieval or audio processing together with strong programming skills in Python. Applicants should have experience with conducting research, understanding the research process and summarising findings.

We offer competitive salaries, pension scheme, 30 days' leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme, staff networks and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities.

The post is based at the Mile End Campus in London. It is a full-time, fixed term appointment for 14 months, with an expected start date in September 2024 or soon after. For a Research Assistant the annual starting salary will be in the range of £36,572-£37,182; for a Postdoctoral Research Assistant it will be £40,223-£44,722. Salaries are inclusive of London allowance.

Queen Mary's commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We have policies to support our staff throughout their careers, including arrangements for those who wish to work flexibly or on a job share basis, and we provide support for those returning from long-term absence. We particularly welcome applications from under-represented (BAME) groups, and from women in all stages of life, including pregnancy and maternity leave.

Informal enquiries should be addressed to Emmanouil Benetos at emmanouil.benetos@qmul.ac.uk.  Details about the School can be found at www.eecs.qmul.ac.uk , and details about the Centre for Digital Music can be found at www.c4dm.eecs.qmul.ac.uk .

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Dr Emmanouil Benetos

Reader in Machine Listening, RAEng / Leverhulme Trust Research Fellow, Turing Fellow
Director of Research, School of Electronic Engineering and Computer Science
Deputy Director, UKRI Centre for Doctoral Training in AI and Music

Queen Mary University of London
T + 44 (0) 20 7882 6206
emmanouil.benetos@qmul.ac.uk
http://www.eecs.qmul.ac.uk/~emmanouilb/