Artificial Intelligence and Music
The UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM) is a leading PhD research programme aimed at the Music/Audio Technology and Creative Industries.
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 personalised 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: www.aim.qmul.ac.uk/
Our Centre for Doctoral Training (CDT) offers a four year training programme where students will carry out a PhD in the intersection of AI and music, supported by taught specialist modules (6 modules in years 1-2 to a total of 90 credits), industrial placements, and skills training. Find out more about the programme structure at: www.aim.qmul.ac.uk/about/
Research groups and prospective supervisors
All academics based at the School of Electronic Engineering and Computer Science can be supervisors for the programme, as long as the PhD topic falls into the research focus of the AIM CDT. See the EECS website for more information the School's Research Groups and on prospective supervisors: http://eecs.qmul.ac.uk/research/research-groups/
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. We also accept applicants holding or completing a Masters degree at distinction or first-class level, or equivalent, in Music Performance/Composition or Musicology, provided that the applicant has a suitable technical background to undertake a PhD in AI and Music.
- 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.
We are accepting offers from UK Home students and International students, as well as students supported by national and international funding bodies, for more information on other funding opportunities, see QMUL PhD Fees and Funding. Queen Mary’s commitment to our diverse and inclusive community is embedded in our student admissions processes. We particularly welcome applications from women and under-represented groups, and from applicants in all stages of life.
We have a number of fully-funded 4-year PhD studentships available for students starting in every September which will cover the cost of tuition fees and will provide an annual tax-free stipend. The CDT will also provide funding for conference travel, equipment, and for attending other CDT-related events.
Information on applications and PhD topics can be found at: www.aim.qmul.ac.uk/apply. For further information on eligibility, funding and the application process please visit our website. Please email any questions to email@example.com.