PhD studentships in Artificial Intelligence and Music (AIM) at Queen Mary University of London

(apologies for cross-postings)

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


12+ fully-funded PhD studentships to start September 2022
Covers fees and a stipend for four years
Application deadline: 30 January 2022

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 25 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 outstanding 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, Music 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.
  *   Musical training (any of performance, production, composition or theory) is desirable but not a prerequisite.

For this call we are inviting applications from UK Home students and International students, as well as students supported by national and international funding bodies, such as the China Scholarship Council (CSC), CONACYT, and the Commonwealth PhD Scholarship scheme. 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.

Funding
For this call we offer 12+ fully-funded 4-year PhD studentships available for students starting in September 2022 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£17,609 in 2021/22). 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 students 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: 30 January 2022
For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@qmul.ac.uk<mailto:aim-enquiries@qmul.ac.uk>


—
Dr. George Fazekas,
Senior Lecturer (Assoc. Prof.) in Digital Media
Programme Coordinator, Sound and Music Computing (SMC)<http://bit.ly/smc-qmul>
Centre for Digital Music (C4DM)
School of Electronic Engineering and Computer Science
Queen Mary University of London, UK
FHEA, M. IEEE, ACM, AES
email: george.fazekas@qmul.ac.uk<mailto:g.fazekas@qmul.ac.uk>
web: c4dm.eecs.qmul.ac.uk<http://c4dm.eecs.qmul.ac.uk/> | semanticaudio.net<http://semanticaudio.net/> | audiocommons.org<http://audiocommons.org/> | bit.ly/smc-qmul<http://bit.ly/smc-qmul> | aim.qmul.ac.uk<http://aim.qmul.ac.uk/>