In recent years, the Centre for Health Economics (CHE) has significantly progressed its activities in global health economics, expanding our existing research strengths in this field by developing a portfolio of high quality methodological and applied research of national and international policy relevance. An important strand of Global Health Economics research at CHE is about policy impact evaluation using quasi-experimental research methods, with an increasing focus on the use of machine learning. We are seeking to appoint a Grade 6 Research Fellow to contribute to this research agenda, with a strong background in quantitative methods, such as econometrics, statistics and machine learning, and an interest in developing and applying those methods for the purpose of health policy impact evaluation.
The Research Fellow will be part of a new, methodologically focussed research project, led by Dr Noemi Kreif. The research project includes co-investigators and advisors from the Department of Economics at York, as well as the University of Indonesia, University of Sao Paolo, Harvard University and the University of Washington, among others. The researcher will have training opportunities to further develop analytical skills in causal inference and machine learning, by attending relevant summer schools and workshops.
Applicants are required to have the following qualifications:
Interview date: 6 October 2020
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