Key Facts

Subject area: Computer Science
Faculty: Faculty of Natural Sciences
Research Institute: Environment, Physical Sciences & Applied Mathematics
Type of Programme: PhD / MPhil
Duration: PhD – 3 years full-time, 6 years part-time
MPhil – 1 year full-time, 2 years part-time
Starting Date: Any time of the year
Entry Requirements: See here
International entry requirements We accept a range of qualifications from other institutions. Details here.
Standard English Language requirements apply. Details here

PhD and MPhil projects are available across a range of areas including Software Engineering, Computational Intelligence and Cognitive Science, Knowledge Modelling and Visualisation & Distributed Security Architectures.  PhD projects are usually for 3 years (full time) and MPhil projects for 1 year (full time).  Part time study is also possible.  For further information see the School of Computing & Mathematics website.

 

Some specific topics, based on our recent research, are outlined below, however, this is a fast moving discipline and we are happy to discuss other projects in the areas listed above.

Software engineering

  • Empirical evaluation of software development techniques, processes and tools
  • Distributed databases
  • Evidence-based research and practice

Knowledge Modelling

  • Critical reassessment of expert reasoning
  • Cognitive and computational modelling of judgements
  • Computational models of complexity and innovation

Computational Intelligence & Cognitive Science

  • Capturing expertise for more effective automated interrogation of large datasets
  • Development of models that improve medical diagnosis and prognosis
  • Development of software tools for the estimation and simulation of human performance
  • Extending the capabilities of neuro-evolutionary systems
  • Determining requirements for open-ended evolution, and analysing emergent behaviours
  • Robots (analytical and cognitive)
  • Biologically inspired robotics (particularly biological mechanisms of robot navigation)
  • Human-computer interaction
  • Computer vision
  • Modelling of complex (non-linear systems)
  • Data mining
  • Novel methods of teaching computer programming

Visualisation and Distributed Security Architectures

  • Visualisation methodologies for building large scale distributed systems
  • Digital encryption technologies augmented with biometrics

 

Contact Details

Administrator Ann Billington
Tel : (+44) 01782 734071
E-Mail : epsam.enquiries@keele.ac.uk