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Computational Aesthetics

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  • Full or part time
    Prof King
  • Application Deadline
    Applications accepted all year round
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

All human societies have art, and the study of beauty is termed aesthetics. The traditional approach to studying art and aesthetics has been based around the subjective judgment of human critics, and this is fundamentally limited. I hold the philosophical position that we only fully understand a phenomenon when we can build a machine that reproduces it.

The proposal is to use computers as an operational and objective approach to art aesthetics. One such approach would be to use predictive machine learning to understand art and aesthetics, and this removes personal opinions and expectations in the art because all decisions are made by machine. I have applied this approach to understanding music from around the world. It could also be applied to other art forms such as paintings.

Funding Notes

The School has full scholarship opportunities for home and EU students. For international students, the School has fees contribution awards. These awards are awarded on a competitive basis.

Further information on funding can be found here: http://www.cs.manchester.ac.uk/study/postgraduate-research/programmes/phd/funding/

References

The minimum requirements to get a place in our PhD programme are available from:
http://www.cs.manchester.ac.uk/phd/entryrequirements/

Related Subjects

How good is research at University of Manchester in Computer Science and Informatics?

FTE Category A staff submitted: 44.86

Research output data provided by the Research Excellence Framework (REF)

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