Research Associate in Complex Systems Modelling
Salary: Grade 7 £31,302 - £39,609 per annum.
Hours: Full time
Closing Date: 8th June 2019
Contract Type: Fixed-term until 31 August 2022 to start as soon as possible.
We have an exciting research opportunity for someone looking to use their skills in data-driven modelling to make a positive difference to the health and wellbeing of our communities.
We are seeking to appoint a talented and highly motivated Research Associate in Complex Systems Modelling and Data Analytics to join the SIPHER Consortium – a large new UK public health research initiative which is being established with funding from the UK Prevention Research Partnership (UKPRP). SIPHER seeks to develop innovative research to prevent physical and mental ill health, and tackle persistent health inequalities. It will work across some of the most important social determinants of health: inclusive economic growth; decent and affordable housing; policies that promote mental wellbeing, and mitigating the long-term effects of adverse childhood experiences. SIPHER is a multidisciplinary, multi-institution partnership bringing together six universities, policy partners at local, regional and national scales of Government, as well as a large number of senior practice partners, e.g. Public Health England, Public Health Wales, the Local Government Association and NICE.
Holding, or being close to completing, a PhD in a quantitative subject of relevance to dynamic systems modelling (e.g. signal processing, control engineering, machine learning), you will have experience of using estimation and identification methods for developing models from data and ideally will have knowledge of statistical signal processing or Bayesian machine learning.
You will work in close dialogue with other SIPHER researchers and practice partners, to formulate and solve modelling
problems in the context of complex, open systems. Since this role will involve close working with other researchers and
practitioners from a range of disciplines and backgrounds, strong listening and communication skills are essential, together with an openness to alternative perspectives and worldviews.
Whilst attached to SIPHER, you will also be joining a highly active and stimulating group of researchers in the Signal and Information Processing Lab in the Department of Automatic Control & Systems Engineering, working on data driven nonlinear and spatio-temporal modeling and estimation methods and their applications across engineering, healthcare and the environment. If you are passionate about using your skills in systems modelling to make a difference to complex problems in the real world then we would love to hear from you.
The SIPHER consortium has further exciting vacancies across our collaborators’ sites in Sheffield, Glasgow and Leeds: a
Consortium Manager, Consortium Administrator, Research Associate in Policy Studies, Research Fellow in Data Synthesis and Simulation, and Research Associate in Decision Modelling and Data Analytics. For details see