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Computational Creativity: Locating Computer Generated Art

  • School: School of Art & Design
  • Study mode(s): Full-time / Part-time
  • Starting: 2022
  • Funding: UK student / EU student (non-UK) / International student (non-EU) / Fully-funded


Computational Creativity: Locating Computer Generated Art

Project ID: AAD1

The proposed project will be an investigation and exploration of the relatively new subfield of computational creativity, a specialist academic area within machine learning and Artificial Intelligence (AI).

Although relatively new in its widespread application, machine learning/A.I. is already significant in its impact upon society. This impact will become even more significant as the technologies involved further develop. This is an exciting opportunity to consider, explore and analyse the implications of this challenging, disruptive, and potentially subversive technology, in particular the effects on human creativity within art and design. The exploration will be through practice-based research as well as investigations into machine learning/A.I. theory. In addition, it can be used as an opportunity to explore other implied philosophical questions, such as the nature of creativity, the place of the artist in society, and the ethical responsibilities of the creator.

School strategic research priority

This project will align with the Design Research Centre and its research goals.

Entry qualifications

For the eligibility criteria, visit our studentship application page.

How to apply

For guidance and to make an application, please visit our studentship application page. The application deadline is Friday 14 January 2022.

Fees and funding

This is part of NTU's 2022 fully-funded PhD Studentship Scheme.

Guidance and support

Download our full applicant guidance notes for more information.

Still need help?

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