PhD in Studentship in Artificial Intelligence and Music at Queen Mary University of London - UCAS

Course options

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

Additional fee information

Students enrolling on a postgraduate degree programme are charged tuition fees each year by Queen Mary. The rate you will be charged depends on whether you are assessed as a Home/EU or Overseas student. www.qmul.ac.uk/postgraduate/taught/tuitionfees/

Sponsorship information

Please see: www.qmul.ac.uk/scholarships

PhD in Studentship in Artificial Intelligence and Music at Queen Mary University of London - UCAS