Overview
Applications are invited for a PhD studentship on the design and development of an intelligent system to enable ubiquitous monitoring and assessment of patients' pain-related moods and movements. Based at the UCL Interaction Centre (www.uclic.ucl.ac.uk), the student will be part of a multidisciplinary group within the EPSRC-funded project Emo&Pain (http://www.uclic.ucl.ac.uk/people/n.berthouze/EPain/).
Emo&Pain is a large EPSRC-funded research project that brings together researchers from UCL, Imperial College and Leicester University to improve self-management in patients with chronic pain. Chronic pain is one of the big challenges facing healthcare providers in the western world due to the rising number of people with chronic health problems.
Under the supervision of Dr Nadia Berthouze (main PI), and in collaboration with a team of psychologists, clinicians and computer scientists (e.g., machine learning), the student will develop a system to recognize patients' emotional states and pain level. This recognition will be based on body movement cues as well as EMG signals captured during self-directed physiotherapy sessions. The project will involve signal processing as well as the application of machine learning techniques. The recognition system will be integrated in a multi-modal (including face and voice) integration system to be developed as part of the Emo&Pain project. Applicants should have a first or upper-second (2:1) class honours degree in Computer Science, a strong background in Machine Learning (e.g., through a MSc programme) as well as excellent programming skills (Matlab, Java, C++, or C). Candidates should have excellent written and verbal communication skills. British and EU nationals who meet the UK residency requirements, as defined by EPSRC
(http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm), will receive a full award covering both tuition fees and a tax-free annual stipend starting at £15,590 per annum. The post is also open to overseas candidates, who will receive the annual stipend, however, only a portion of the total tuition fee, equivalent to the UK fee (£3,466 per annum), will be covered.
Instructions on how to apply: Please fill in the PhD application form available at http://www.ucl.ac.uk/admission/graduate-study/application-admission/. Indicate that you are applying for a PhD position at UCLIC, Computer Science Department under the supervision of Nadia Berthouze. Submit the application through the online service (or through the other options available) AND MAKE SURE you also email a copy of the application to Nadia Berthouze (n.berthouze@ucl.ac.uk) Please make sure you receive an acknowledgment that Nadia Berthouze has received your application. Informal queries can be directed to Nadia Berthouze (n.berthouze@ucl.ac.uk).
The studentship runs for 42 months full-time starting end of September 2010 or as soon as possible thereafter.
Closing date for applications is 19 August 2010.
Interviews will be held on or shortly after 27 August 2010.
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
Applications are invited for a PhD studentship on the design and development of an intelligent system to enable ubiquitous monitoring and assessment of patients' pain-related moods and movements. Based at the UCL Interaction Centre (www.uclic.ucl.ac.uk), the student will be part of a multidisciplinary group within the EPSRC-funded project Emo&Pain (http://www.uclic.ucl.ac.uk/people/n.berthouze/EPain/).
Emo&Pain is a large EPSRC-funded research project that brings together researchers from UCL, Imperial College and Leicester University to improve self-management in patients with chronic pain. Chronic pain is one of the big challenges facing healthcare providers in the western world due to the rising number of people with chronic health problems.
Under the supervision of Dr Nadia Berthouze (main PI), and in collaboration with a team of psychologists, clinicians and computer scientists (e.g., machine learning), the student will develop a system to recognize patients' emotional states and pain level. This recognition will be based on body movement cues as well as EMG signals captured during self-directed physiotherapy sessions. The project will involve signal processing as well as the application of machine learning techniques. The recognition system will be integrated in a multi-modal (including face and voice) integration system to be developed as part of the Emo&Pain project. Applicants should have a first or upper-second (2:1) class honours degree in Computer Science, a strong background in Machine Learning (e.g., through a MSc programme) as well as excellent programming skills (Matlab, Java, C++, or C). Candidates should have excellent written and verbal communication skills. British and EU nationals who meet the UK residency requirements, as defined by EPSRC
(http://www.epsrc.ac.uk/PostgraduateTraining/StudentEligibility.htm), will receive a full award covering both tuition fees and a tax-free annual stipend starting at £15,590 per annum. The post is also open to overseas candidates, who will receive the annual stipend, however, only a portion of the total tuition fee, equivalent to the UK fee (£3,466 per annum), will be covered.
Instructions on how to apply: Please fill in the PhD application form available at http://www.ucl.ac.uk/admission/graduate-study/application-admission/. Indicate that you are applying for a PhD position at UCLIC, Computer Science Department under the supervision of Nadia Berthouze. Submit the application through the online service (or through the other options available) AND MAKE SURE you also email a copy of the application to Nadia Berthouze (n.berthouze@ucl.ac.uk) Please make sure you receive an acknowledgment that Nadia Berthouze has received your application. Informal queries can be directed to Nadia Berthouze (n.berthouze@ucl.ac.uk).
The studentship runs for 42 months full-time starting end of September 2010 or as soon as possible thereafter.
Closing date for applications is 19 August 2010.
Interviews will be held on or shortly after 27 August 2010.
Please kindly mention Scholarization.blogspot.com when applying for this scholarship
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