Fully-funded PhD studentships – Topics focus in filed of Artificial Intelligence and Music

Outline

Fully-funded PhD studentships to start September 2022

Call open to International student applicants (+12 possitiong for UK home and International students)

Call opens on 1 December 2021 until 30 January 2022

What is funded

4-year fully-funded PhD studentships available

Covers fees and a stipend for four years

Duration

Four years (funding)

Eligibility

Successful applicants will have the following profile:

• Hold or be completing a Masters degree at distinction or first classlevel, or equivalent, in Computer Science, Electronic Engineering,Music/Audio Technology, Physics, Mathematics, or Psychology. We alsoaccept applicants holding or completing a Masters degree at distinctionor 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 degreewho do not hold a Masters degree, provided that applicants can provideevidence of equivalent research experience, industry experience, orspecialist training.

• Programming skills are strongly desirable; however we do notconsider 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.

The propsoed topics are listed here and the research focus is structured along three themes identified as requiring intensive attention and integration:

1. Music understanding, encompassing machinelistening, intelligent signal processing, and data- and knowledge-drivenapproaches to music content modelling and analysis;
2. Intelligent instruments and interfaces,encompassing embedded intelligence and intelligent sensing for music performance, production, listening and education, and applications of AIto human-computer interaction in creative contexts;
3. Computational creativity, encompassing generativemusic composition, automated accompaniment systems, and systems forexpressive musical performance and assisted production.

More information at https://www.aim.qmul.ac.uk/apply/