Research Fellow, Centre for Public Health
Application closing date 07/08/2019
Salary £33,199 per annum
Job category/type Research
Queen's University Belfast is one of the leading universities in the UK and Ireland, with a distinguished heritage and history. With over 24,000 students, 4,200 staff and an annual turnover of some GBP 300m, Queen's University Belfast plays a unique leadership role in Northern Ireland. As a member of the Russell Group of UK research-intensive universities, Queen's University Belfast combines excellence in research and education with a student centred ethos.
Queen's University has generous terms and conditions of employment underpinned by excellent benefits. We also provide attractive well-being, family friendly and other lifestyle benefits.
Our five core values (Integrity, Connected, Ambition, Respect, Excellence) have been developed by staff and students. They express our shared understanding of what we believe, how we aim to behave and what we aspire to be as an international organisation.
The Centre for Public Health (CPH) sits within the School of Medicine, Dentistry and Biomedical Sciences (MDBS) at Queen's University Belfast. The Centre aims to advance the health of the public at a regional, national and international level, by increasing knowledge and influencing clinical and public health practice and policy.
We are recruiting for a Research Fellow to join the recently established Health Data Research Wales Northern Ireland Substantive Site, one of only six sites in the UK as part an initial overall investment of GBP 54M by Health Data Research UK (HDR-UK). Particular thematic areas include Modernising Public Health and Enabling Precision Medicine. The successful candidate will become a member of the QUB HDR-Wales Northern Ireland research team assisting Professor Frank Kee, Dr Ruth Hunter and academic colleagues in Institute of Electronics, Communications and Information Technology (ECIT) in a programme of research focused on using public health datasets and data from wearable sensors and cameras, GPS and telecommunications data and other digital footprints from social media and GIS platforms to better define the socioecological determinants that shape health related behaviours and health and wellbeing outcomes in the population. The post will involve the application of hypothesis-driven computational approaches (including statistical, machine learning, graph-based or other approaches) for the discovery and validation of novel behavioural phenotypes, their mediators and predictors of their health outcomes, as appropriate for the interrogation and analysis of population level "Big Data" and "Small Data" (the quantified self). The applicant will also use the intelligence from such datastreams and Ecological Momentary Assessments to design and test interventions using novel designs such as SMART, Just in Time and MOST. The applicant will have the opportunity to conduct high quality research that will resonate at local, national and global levels.
Informal enquiries can be directed to Dr Dermot O'Reilly via email to D.Oreilly@qub.ac.uk