Postdoctoral Research Associate in Data Analytics and Modelling of Mental Health at the University of Ulster
Applications are invited for the following post: Postdoctoral Research Associate in Data Analytics and Modelling of Mental Health at the University of Ulster With the increasing volume and complexity of datasets in neuroscience and mental health, data analytics and modelling will become indispensable. This project aims to use data analytics, computational modelling, and cloud/high-performance computing to integrate and analyze available but heterogeneous 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 applicant will utilize knowledge in data analytics, cloud/high-performance computing, mathematical/statistical modelling, and brain sciences in the research. The postholder 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 postholder will also have the opportunity to interact with other biomedical and translational/clinical researchers in the team, and learn about advanced software development, knowledge transfer and entrepreneurship with Asystec. All applicants should hold or about to obtain a Ph.D. degree in Computing, Engineering, Computational Neuroscience, Computational Sciences, Neuroscience, Statistics, Mathematics, Physics, or a related discipline. Applicants must be highly motivated and willing to pursue research and develop skills and knowledge across disciplines. The application process for the post is opened with a closing date for applications on the 20th May 2015, and interviews will be held shortly after. The successful applicant is expected to start in July 2015. Further details can be found at: http://www.jobs.ac.uk/job/AKY928/research-associate-in-data-analytics-and-mo... We prefer to issue and receive applications via our on-line recruitment website at www.ulster.ac.uk/jobs<http://www.ulster.ac.uk/jobs> If you wish to discuss further regarding this post or the research project, please contact: Dr. KongFatt Wong-Lin, tel: +44 028 7167 5320, e-mail: k.wong-lin@ulster.ac.uk ________________________________ This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster@ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The University of Ulster was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA
participants (1)
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Wong-Lin, Kongfatt