From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.
Senior Research Associate in Statistical Evidence Synthesis for Complex Systems
The post holder will be expected to conduct research on the synthesis of evidence from multiple models and data sources, to understand the interactions between food systems, the environment and human health. The research will contribute to the Sustainable and Healthy Food Systems (SHEFS) research programme, which is funded by the Wellcome Trust. This programme is a collaboration between the London School of Hygiene and Tropical Medicine (LSHTM), University College London (UCL), the University of Aberdeen and several other institutions in London, along with collaborators in South Africa (UKZN, Durban) and India.
The main purpose of the role is to provide a statistical framework for integrating the evidence from the different strands of the SHEFS programme, accounting appropriately for uncertainties in the underlying data and models and delivering results in a form that is appropriate for the evaluation of policy options. The post holder will help to co-ordinate the activities of the other London-based research team members, and will collaboratively write-up research for publication in international, peer-reviewed journals.
Candidates should hold a PhD (or equivalent qualification) in Statistics, or equivalent experience relevant to the role. It is essential that the successful candidate has the proven ability to formulate, implement and evaluate appropriate statistical solutions to complex applied problems; excellent programming skills in one or more modern computing environments (e.g., R, C#, Python); experience of working effectively in an interdisciplinary environment and the ability to communicate complex concepts across disciplines. Applications are particularly welcome from candidates who have experience in the use of Bayesian methods.
The post is available from 1 May 2018 and is funded until 31 March 2021 in the first instance. Further funding may be available.
Closing date: 26 March 2018