Three-year PhD scholarship is available to UK, EU and overseas students and will cover home tuition feesÂ plus a maintenance grant equivalent to the full UK Research Council rate.
The proposed research will be focused on applying data analysis methods for EEG (Electroencephalography) data analysis in investigating mental and physical fatigue. The aim is to investigate novel methods to extract neuro-markers from EEG for the identification of brain states. The discovery of neuro-markers will have great potential in a wide range of applications (i.e. military, sports and medical applications).
Key words: EEG, time-frequency analysis, phase synchrony, machine learning, pattern recognition, general linear model
Supervisor: Dr. Caroline Ling Li
Co-supervisors: Prof. Samuele Marcora, Prof. Howard Bowman
CriteriaÂ Applicant must have a good first degree or good Masterâs level degree. Ideally at Master level with relevant research experience. Strong programming or math skill is preferred. Previous research experience leading to publications would be an advantage.
How to apply Send covering letter and CV together with contacts of two referees to firstname.lastname@example.org, including contact detail, research interest and your suitability for this award. Please also include experience, if any, of academic or professional research; experience, if any, of teaching or mentoring.
You must also complete the online form for making a formal application for a PhD (Doctor of Philosophy Research) in Computer Science at the University of Kent via http://www.kent.ac.uk/courses/postgrad/apply/index.html
Successful candidate will be based at Medway Campus (40-50 mins from London by train). Information about Medway Campus can be found here: http://www.kent.ac.uk/locations/medway/campus/index.html
Deadline: 28 Oct, 2013.
For questions about applications, please contact email@example.com
Kent provides a dynamic and challenging academic environment and has an excellent reputation for collaborative research with universities around the world. For more information about Kentâs research portfolio see: www.kent.ac.uk/pg