PhD Studentships - in Artificial Intelligence and Music at the UKRI Centre for Doctoral Training in QMUL (starting Sept 2021)

Outline

UKRI Centre for Doctoral Training in Artificial Intelligence and Music (AIM), Queen Mary University of London

Our 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.

What is funded

• Fully-funded PhD studentships to start in September 2021
• Covers fees and a stipend for four years

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/

Eligibility

• Call open to UK resident applicants
• Application deadline: 19 April 2021

The call is for UK residents. For this call we are accepting applications from UK resident applicants. Candidates must meet one of the following criteria:

• Be a UK National (meeting residency requirements), or
• Have settled status in the UK, or
• Have pre-settled status in the UK (meeting residency requirements), or
• Have indefinite leave to remain or enter the UK.

Eligibility guidelines are included in full at https://www.aim.qmul.ac.uk/apply/ .

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.