Ewch i’r prif gynnwys

PhD in Engineering: Quantitative evaluation of creativity using computational semantics

Mae'r cyfle ariannu hwn wedi dod i ben.

Ffeithiau allweddol

Dyddiad cau cyflwyno cais 2 Gorffennaf 2019
Dyddiad dechrau Hydref 2018, Ionawr 2019, Ebrill 2019 or Gorffennaf 2019.
Hyd 4 years
Lefel astudio Ymchwil ôl-raddedig
Math o ddyfarniad Ysgoloriaeth PhD
Nifer o ysgoloriaethau ymchwil One

Creativity is regarded as one of the most desirable qualities; it involves divergent and convergent thinking.

Divergent thinking is particularly important in early stages of product design. It refers to associative and intuitive thought, and thinking that requires flexibility. It is the ability to develop many possible solutions to a problem, some of them unique and novel, which may, though, differ in their quality. Divergent thinking is measured using various models.

For example, the Guilford model uses fluency, flexibility, originality and elaboration to measure how creative a person is. On the other hand, the taxonomy of creative design assesses how creative a work is. It classifies creative work as an imitation of another work, a variation on a single work, a combination of two or more works, a transformation of a work into a completely new form, or a creation that is previously unrecognisable.

Project aims and methods

The aim of this project is to develop computational methods based on semantics to measure how creative a person is in the context of the Guilford model and how creative a work is in the context of the taxonomy of creative design.The main innovation is in using computer vision and computational semantics to measure the semantic distance between concepts used in the creative output.

You will be expected to produce high quality journal articles for scientific publication during the course of your PhD and would be expected to participate and present your research in international conferences.

You will benefit from an excellent research training environment provided by the High-Value Manufacturing group led by Professor Rossi Setchi.


Manylion ariannu

Cefnogaeth Ffioedd Dysgu Arall
Tâl Cynhaliaeth The PhD studentship is self-funded for a period of 4 years. Some funding might be made available for attending international conferences, travel and research consumables.

Meini prawf cymhwysedd

Preswylio Yn agored i bob myfyriwr o unrhyw genedl heb gyfyngiadau (DU/UE a Rhyngwladol)
Meini prawf academaidd

You are expected to fulfil the following criteria in order to be considered for this position:

  1. A four year bachelor degree or a master degree in Engineering or Computer Science. You should have obtained, or be about to obtain, a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK. Applicants with a Lower Second Class degree will be considered if they also have a Master’s degree.
  2. Excellent programming skills.
  3. Strong interest in AI and applying AI to practical engineering problems of industrial relevance.
  4. Excellent academic track record and communication skills. Relevant evidence includes a conference presentation or journal publication.

Please apply to the PhD in Engineering with a start date of October 2018, January 2019, April 2019 or July 2019.

In the “Research Proposal and Funding” section of your application, please specify the project title and supervisors of this project and copy the project description in the text box provided.

Please include a CV as a supporting document with your application.

Applications will be accepted all year round until a suitable candidate is found.

Rydym yn cadw'r hawl i gau cyfnodau ymgeisio’n gynnar, os bydd digon o geisiadau'n cael eu derbyn.

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