AIM chapter contribution in “Handbook of Artificial Intelligence for Music”

The “Handbook of Artificial Intelligence for Music” is now available online, with a printed version due on 3rd August. The handbook, published by Springer and edited by Eduardo Miranda, covers 34 chapters and over 1,000 pages, providing a comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music.

The AIM CDT has a contribution in the newly published handbook, through the chapter entitled “From Audio to Music Notation“, authored by Lele Liu and Emmanouil Benetos, focusing on automatic music transcription, the process of automatically converting music audio into musical notation, its challenges and opportunities for research in AI and music.


PhD studentships in Artificial Intelligence and Music (AIM) – September 2020 start

UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), Queen Mary University of London
https://www.aim.qmul.ac.uk/

Up to 12 fully-funded PhD studentships to start September 2020
Covers fees and a stipend for four years
Application deadline: 31 January 2020

Why apply to the AIM Programme?

  • 4-year fully-funded PhD studentships available
  • Extensive choice of projects, drawing on a supervisory team of over 30 academics
  • Access to cutting-edge facilities and expertise in artificial intelligence (AI) and music/audio technology
  • Comprehensive technical training at the intersection of AI and music through a personalized programme
  • Partnerships with over 20 companies and cultural institutions in the music, audio and creative sectors

More information on the AIM Programme can be found at: https://www.aim.qmul.ac.uk/

Programme structure
Our Centre for Doctoral Training (CDT) offers a four year training programme where students will carry out a research project in the intersection of AI and music, supported by taught specialist modules, industrial placements, and skills training. Find out more about the programme structure at: http://www.aim.qmul.ac.uk/about/

Who can apply?
We are on the lookout for the best and brightest students interested in the intersection of music/audio technology and AI. Successful applicants will have the following profile:

  • Hold or be completing a Masters degree at distinction or first class level, or equivalent, in Computer Science, Electronic Engineering, Music/Audio Technology, Physics, Mathematics, or Psychology. In exceptional circumstances we accept applicants with a first class Bachelors degree who do not hold a Masters degree, provided that applicants can provide evidence of equivalent research experience, industry experience, or specialist training.
  • Programming skills are strongly desirable; however we do not consider this to be an essential criterion if candidates have complementary strengths.
  • Formal music training is desirable, but not a prerequisite.

For this round of applications we are offering a number of scholarships to applicants who are ordinarily resident in the UK (i.e. have lived and studied/worked in the UK at least the last three years – this includes EU nationals) and a smaller number of scholarships to international students.

Funding
We have a large number of 4-year PhD studentships available for students starting in September 2020 which will cover the cost of tuition fees and will provide an annual tax-free stipend  (£17,009 in 2019/20). The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events.

The AIM programme also welcomes applications from students who have sponsorship for PhD study from numerous international funding agencies and also accepts self-funded students. For more information on external PhD studentships and self-funded please visit http://www.aim.qmul.ac.uk/apply .

Apply Now
Information on applications and PhD topics can be found at: http://www.aim.qmul.ac.uk/apply
Application deadline: 31 January 2020
Application deadline for China Scholarship Council applicants only: 12 January 2020
For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@qmul.ac.uk