Course summary
As a research student, you are associated with one or more research groups in the Department of Informatics and allocated a computer and working area in comfortable shared offices. You have full access to your research group’s specialist facilities and laboratories. The Department is engaged in a wide range of research, covering many areas of artificial intelligence, computer science and cognitive science. We can supervise in all areas of faculty specialism. Applicants wishing to pursue interdisciplinary research involving artificial intelligence (AI), including computational philosophy of mind or AI of biology, may apply to do research degrees in cognitive science. Students are assigned 2 supervisors for the duration of their studies; they meet their primary supervisor regularly on an informal basis, and for a documented review meeting every month. A formal review of progress is conducted each year. Students admitted to research courses take a Research Skills Development module in their first 2 terms, which is specifically designed for students in the School of Engineering and Informatics. In addition, specific MSc modules may be recommended to enhance your subject knowledge where necessary.
Modules
Recent thesis titles: A framework for the design, prototyping and evaluation of mobile interfaces for domestic environments; an inertial motion capture framework for constructing body sensor networks; automated reasoning for reflective programs; bio-inspired approaches to the control and modelling of an anthropomimetic robot; biometric storyboards: a games user research approach for improving qualitative evaluations of player experience; chaotic exploration and learning of locomotor behaviours; cognitive modelling of complex problem-solving behaviour; data-driven techniques for animating virtual characters; evaluating computational creativity: a standardised procedure for evaluating creative systems and its application; evaluation of the usability of constraint diagrams as a visual modelling language; graph-based approaches to word sense induction; individual differences in synaesthesia: qualitative and fMRI investigations on the impact of synaesthetic phenomenology; model development and analysis techniques for epidemiological and neurobiological dynamics on networks; module hierarchy and centralisation in the anatomy and dynamics of human cortex Neuronal oscillations, information dynamics, and behaviour: an evolutionary robotics study; video analytics for security systems.
Assessment method
Research project
Entry requirements
A 1st or upper 2nd Class undergraduate Honours degree in a subject relevant to your chosen area of research. English language requirements: IELTS 6.0, with not less than 6.0 in each section; internet TOEFL with 80 overall including 22 in speaking and 24 in writing.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Please click on the course URL to see up-to-date fee information.
Sponsorship information
A limited amount of funding from the EPSRC and the University is available for outstanding research students.
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH