ScHARR |
We are seeking high-calibre graduates from disciplines including mathematics, statistics, epidemiology, psychology, sociology, politics, economics, systems engineering, business studies or geography who want to make a difference in the area of population health.
This four year programme enables five of the most promising postgraduate students to undertake multidisciplinary, collaborative doctoral research in public health, economics, statistics and mathematical modelling.
About the programme
Generously funded by the Wellcome Trust, our four-year unique interdisciplinary training to equip graduates to be public health leaders and decision scientists of the future.
Wellcome Trust |
Rotations through three “research attachments” will allow students to experience research in multiple topic areas with potential supervisors before finalising the topic of the research project they will complete during years two to four.
Join the research effort to reduce the burden of chronic disease
Chronic disease accounts for the majority of the burden of disease in the developed world. This burden can be reduced through well-targeted and co-ordinated public health policies. Public Health Decision Science explicitly seeks to identify which combinations of interventions to prioritise for action, and to estimate their return on investment. This programme will prepare graduates for rewarding careers in academia or stakeholder organisations allowing them to contribute to public health decision making to reduce the burden of disease in the UK and internationally.
Funding
There are five studentships available (three funded by the Wellcome Trust and two by the University of Sheffield). Applications are welcome from Home/EU and International candidates.
Each studentship provides
- tuition fees for 4 years
- an annual stipend for four years at Wellcome Trust rates
- a generous training, research cost and travel fund
Eligibility
You will…
- be an academic high achiever
- have completed an undergraduate degree (equivalent to 2.1 or above) in a relevant discipline (e.g. mathematics, statistics, epidemiology, psychology, quantitative sociology, politics, economics, systems engineering, business studies, or geography)
- have a relevant Masters degree or experience working in a health-related or operational research/decision modelling or economics environment
- have quantitative maths skills equivalent to A at A-Level
- be highly motivated to make a significant scientific contribution to tackling chronic disease burden through well-evidenced, cost-effective public health strategies
- be able to demonstrate your enthusiasm to work collaboratively in an interdisciplinary environment
- have excellent verbal and written communication skills, and excellent problem solving skills assessed through written application and, if shortlisted, interview
Closing date for September 2018 entry - 11th December 2017
Interviews will take place in the week of 15th to 19th January 2018
More details can be viewed here