Applications are invited for the following DEL CAST studentship (Co-operative Awards in Science and Technology):
Title: Extraction and modelling of mental health data: big data analytics approach
With the increasing volume of datasets in neuroscience and mental health, data analytics and modelling will become indispensable. This project aims to use data analytics, probabilistic modelling, and high-performance computing to integrate and analyse available open but heterogeneous big data to extract patterns and predict Alzheimer’s disease.
This timely, exciting and high-impact project is available in the University of Ulster’ Computer Science Research Institute (in collaboration with Asystec Ltd) and is tenable in the Faculty of Computing and Engineering at the Magee Campus. The successful PhD candidate will join an externally funded multidisciplinary research team, and will benefit from the expertise of Ulster’s computational neuroscience and intelligence, and Asystec’s big data management and analytics. The student will also have the opportunity to interact with other biomedical and translational/clinical researchers in the team. The student will gain valuable knowledge in data analytics, high-performance computing, mathematics/statistics and brain sciences, which are all essential in many areas of science, engineering and biology. This training will provide wide opportunities for finding skilled work, especially in the burgeoning field of data analytics. The student will have the opportunity to learn first-hand about advanced software development, knowledge transfer and entrepreneurship with Asystec.
Applicants should hold ordinary UK residence to be eligible for both fees and maintenance. Non-UK residents who hold ordinary EU residence may also apply but if successful will receive fees only. All applicants should hold a first or upper second class honours (or equivalent) degree in Computer Science, Mathematics, Statistics, Engineering or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills across disciplines. Successful candidates will enrol on a full-time research programme, of up to three years subject to satisfactory progress, leading to the award of the degree of Doctor of Philosophy. The studentship will comprise tuition fees and a maintenance award (subject to UK residence status) of not less than £15,057 per annum, funded by DEL (the Department for Employment & Learning in NI) and Asystec Ltd.
The application process for the Ph.D. studentship is opened with a closing date for applications on the 30th April 2015, and interviews will be held in May 2015. The studentship is expected to start in September 2015.
Further details can be found at:
If you wish to discuss your proposal or receive advice on the research project please contact: Dr KongFatt Wong-Lin, tel: +44 028 7167 5320, email: firstname.lastname@example.org