Dr N Boulgouris
No more applications being accepted
Funded PhD Project (UK Students Only)
About the Project
Brunel University London (BUL) is recruiting to EPSRC Doctoral Training Partnership (DTP) PhD studentships effective 1 October 2020. Applications are invited for the following specific project called “Machine learning for Radio-frequency (RF) based human motion and gesture recognition”. Successful applicants will receive an annual stipend (bursary) of £17,285 plus payment of their full-time home tuition fees for a period of 36 months (3 years). Applicants must be eligible for home tuition fees either through nationality, residency (living in the UK for at least three years and not wholly for educational purposes) or other connection to the UK.
The successful applicants will join the internationally recognised researchers in the Department of Electronic and Electrical Engineering. This exciting research project is focused on the analysis and recognition of WiFi signals for the recognition of human motion. WiFi infrastructure is everywhere and any urban public space is most probably filled with WiFi signals. These WiFi signals however are affected by the presence and motion of individuals. This is because the paths along which the signals propagate change when there is a moving object in an area covered by WiFi. These changes in WiFi signals are detectable and measurable and can be used for some advanced applications. The project will develop an intelligent receiver that will detect WiFi signals, and use machine learning for their analysis and for reaching conclusions about the motion that takes place in a given area. The developed technologies will be applied in practical applications in collaboration with industry.
Applicants will be required to demonstrate their ability to work on Signal Processing for Communications. The successful applicant is expected to be highly proficient in computer programming. Additionally, applicants should have experience or be willing to learn and work on Machine Learning based Artificial Intelligence (AI).
Please contact Dr Nikolaos Boulgouris at [Email Address Removed] for an informal discussion about the studentship.
Eligibility
Applicants will have or be expected to receive a first or upper-second class honours degree in an Engineering, Computer Science, Design, Mathematics, Physics or a similar discipline. A Postgraduate Masters degree is not required but may be an advantage.
Ideally, the successful candidate should be research-orientated, academically-inclined, and determined to break technological barriers in his/her area of research. In addition, applicants should be highly motivated, able to work independently and as part of a team, collaborate with others and have good communication skills.
How to Apply
Please submit your application documents (see list below) by Noon on Friday 26 June 2020 to [Email Address Removed] Interviews will take place in July 2020.
• Your up-to-date CV;
• Your personal statement (300 to 500 words) summarising your background, skills and experience;
• Your Undergraduate/Postgraduate Masters degree certificate(s) and transcript(s);
• Evidence of your English language skills to IELTS 6.5 (or equivalent, 6.0 in all sections), if appropriate;
• Contact details for TWO referees, one of which can be an academic member of staff in the College.
Remember to state the title of the project at the top of your personal statement.