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Postdoc Position in Statistical Modelling for Global Health

Imperial College London is pleased to invite applicants to apply for a new opening postdoctoral researcher position in computer science. This position is available for two years in the first instance. The deadline to apply is February 20, 2019.

How many people in the world today are visually impaired? Which countries are on track to reach the VISION 2020: The Right to Sight target of eliminating avoidable blindness by the year 2020? What are the causes of vision loss and how does this vary globally?

We are seeking an outstanding candidate to work as a Research Associate in Statistical Modeling for Global Health on the data science and statistical challenges of synthesizing a wealth of public health surveys to measure visual impairment in every country of the world over the last three decades. Working closely with Dr Seth Flaxman (Department of Mathematics and Data Science Institute, Imperial College London) and Professor Rupert Bourne (Anglia Ruskin University, Cambridge), you will liaise with epidemiologists and ophthalmologists who are providing data sources. You will undertake the Bayesian statistical approaches to modelling, understanding, and deriving insights from this data. A number of publications are envisioned in top public health journals, updating the estimates and methodologies of Flaxman et al. , (2017) and Bourne et al. , (2017). Final results from this research are expected to be adopted by the World Health Organisation as their official estimates, and a large global outreach effort is planned through the IAPB Vision Atlas, to coincide with a global focus on Vision 2020 in the year 2020.

- Use data science approaches to combine summary statistics and individual data from a variety of public health surveys into a single dataset for statistical modelling; - Use Bayesian hierarchical statistical modelling approaches to develop models for the prevalence and causes of visual impairment and blindness in every country in the world over the last 30 years; - Investigate the use of machine learning and computational statistics approaches for probabilistic modelling, to develop new methods for the joint modelling of the causes of visual impairment and blindness and to include flexible temporal and spatial effects. Additionally, the post includes teaching cover on undergraduate and master level programmes. The post holder will also carry out personal tutoring and project supervision work within the Department of Mathematics.

- PhD (or equivalent) in a quantitative subject such as statistics or computer science - To have, or to be working towards a recognised teaching qualification, or be able to demonstrate experience in a formal teaching environment - Evidence of promise and originality of research, and a publication record commensurate with career stage - Deep understanding of applied Bayesian statistics (e.g. experience with Stan) - Experience of dealing with real-world datasets and an understanding of the challenges associated with these datasets Background in biostatistics, public health, or global health - Excellent programming skills in python or R - Knowledge of data visualization techniques for exploratory data analysis - Expertise in data cleaning, wrangling, and transformation expertise *Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range 33,380 – 35,061 per annum.

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