Course summary
4-year fully-funded PhD studentship 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 personalised programme Partnerships with over 20 companies and cultural institutions in the music, audio and creative sectors
Modules
Please refer to our website
Assessment method
Please refer to our website
How to apply
International applicants
Please see: www.qmul.ac.uk/international-students
Entry requirements
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. 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 the above PhD topic, we are offering a scholarship to both ordinarily resident in the UK and international students.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Sponsorship information
Please see: www.qmul.ac.uk/scholarships
Provider information
Queen Mary University of London
Admissions and Recruitment Office
Mile End Road
Tower Hamlets
London
E1 4NS