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

Subject: [AUDITORY] PhD studentships in Artificial Intelligence and Music (AIM) at Queen Mary University of London

From: Mathieu Barthet <m.barthet@xxxxxxxxxx>

Date: Thu, 1 Dec 2022 23:36:47 +0000

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Thread-topic: 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 2023

Covers fees and a stipend for four years
Application deadline: 31 January 2023

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, 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. 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 accepting 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 Scholarships 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 2023 which will cover the cost of tuition fees and will provide an annual tax-free stipend (£19,668 in 2022/23). 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: 31 January 2023

For further information on eligibility, funding and the application process please visit our website. Please email any questions to aim-enquiries@xxxxxxxxxx

Best wishes,

Mathieu

Mathieu Barthet

Senior Lecturer in Digital Media

Technical Director of the qMedia Studios

Programme Coordinator MSc in Media and Arts Technology

Industry Partnerships AI & Music Centre for Doctoral Training

Centre for Digital Music (Room Eng 111)

School of Electronic Engineering and Computer Science

Queen Mary University of London

Mile End Road, London E1 4NS

Tel: +44 (0)20 7882 7518 - Fax: +44 (0)20 7882 7997

E-mail: m.barthet@xxxxxxxxxx

http://www.mat.qmul.ac.uk/

https://www.aim.qmul.ac.uk/