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

[Ignatius S. Condro Atmawan B.]

-------- Forwarded Message --------
Subject:        PhD studentships in Artificial Intelligence and Music (AIM) at
Queen Mary University of London
Date:   Mon, 2 Dec 2019 12:37:40 +0000
From:   Mathieu Barthet <m.ba...@QMUL.AC.UK>

*

(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/


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-en...@qmul.ac.uk <mailto:aim-en...@qmul.ac.uk>*

Best wishes,

Mathieu Barthet
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

E-mail: m.ba...@qmul.ac.uk

http://c4dm.eecs.qmul.ac.uk/
http://www.mat.qmul.ac.uk/ 
https://www.aim.qmul.ac.uk/
https://www.audiocommons.org/<https://www.audiocommons.org/>
http://www.iomut.eu/