PhD positions

CS at Heriot Watt offers many opportunities for PhD research. Please contact Mike Chantler if you are interested in applying for a PhD position with us.

Below is a selection of our staff and the areas in which they supervise PhD projects. Please also check our staff profiles

  • Ruth Aylett: Interactive narrative; synthetic characters; affective computing; human-robot interaction; cognitively/affectively-based agent architectures; virtual, augmented and mixed reality
  • Albert Burger: Distributed Biomedical Informatics, Argumentation Systems for Inconsistent and Incomplete Biomedical Data, Semantic Web for the Life Sciences, Interoperability across Biomedical Images, Atlases and Movies.
  • Mike Chantler: Combining interaction technologies (haptics, multi-touch, computer vision, interactive video, 3D graphics, audio, stereo, head-tracking etc.) for presentation and collaborative design of commodities with complex surfaces and complex surface textures.
  • David Corne: Optimisation and machine learning, particularly evolutionary computation (genetic algorithms, genetic programming, etc.), multi-objective optimisation, hybrids of learning and optimisation, hyper-heuristics, super-heuristics. Applications in, e.g., web intelligence, finance, scheduling, telecommunications, bioinformatics, data-mining.
    •  Former students are now at Manchester, Oxford, UCL, Bank of China, PriceWaterhouseCoopers
  • Murdoch Gabbay: Lambda calculus, formal logic, set theory, models, categories, nominal techniques.
  • Lilia Georgieva: Formal methods in software engineering, knowledge representation and reasoning, cryptography. Applications in security and business.
    • Former students work at IBM, University of Athens
  • Helen Hastie: Predicting affect and personality for optimising multimodal interaction. Combining chatbots with  context aware spoken dialogue interaction strategies. Situation-aware spoken dialogue systems- making use of physical location and environment to optimise multimodal interaction. User modeling to optimise multimodal interaction.
  • Fairouz Kamareddine:  Logics, Types, Rewriting, and Automation.
  • Oliver Lemon: machine learning; multimodal interfaces; conversational agents; Natural Language Processing; Spoken Dialogue Systems; Human-Robot Interaction; Natural Language Generation. 
    • Former students have worked at: Google, MIT, Stanford, IBM, Edinburgh, CNRS
  • Greg Michaelson: programming language design & implementation; program cost models/analyses; multi-processor systems; functional programming;  limits to computability; gender and computer mediated communication; psychology of programming
    • Former students have worked at: UBS, Codeplay, Yarmouk University, Sage, University of Edinburgh, Medical Research Council, BBC, Motorola, Lasmea/Blaise-Pascal University, JIST.
  • Verena Rieser: Interaction modelling and statistical Machine Learning techniques. Speech and language technology (mostly dialogue systems), Natural Language Generation, data-driven dialogue policy optimisation, non-cooperative strategic communication and grounded language learning. Intelligent assistants for Decision Support Tools, e.g. communicating uncertainty. Computational models for optimising sustainability outcomes, e.g. land use optimisation.
  • Hamish Taylor: Distributed systems design, peer to peer architectures, mobile network applications, applied computer security, automated practical reasoning
  • Nick Taylor: Machine Learning, Personalisation, Pervasive Computing