Research Associate in Bayesian Non Parametric at Imperial College London
Jul 20, 2018
Research Associate in Statistics
Applications are invited for a Research Associate position in the Department of Mathematics at Imperial College London to work in the area of Bayesian Non-Parametric statistics. The position is funded through the EPSRC Grant EP/R /1. The Research Associate will work directly with Dr Sarah Filippi and in collaboration with Prof Chris Holmes (Alan Turing Institute).
The post holder will work on developing a novel Bayesian Non-Parametric Test for Conditional Independence. This is at the core of modern causal discovery, itself of paramount importance throughout the sciences and in Machine Learning. In particular, the discovery of causal relationships is fundamental in public health and epidemiology, in life and earth sciences, in sociological studies and in econometrics.
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Research Associate in Bayesian Non Parametric at Imperial College London employer: The International Society for Bayesian Analysis
Imperial College London is an exceptional employer, offering a dynamic and collaborative work culture that fosters innovation and research excellence. With strong connections to cutting-edge initiatives in data science and machine learning, employees benefit from ample opportunities for professional growth and development in a prestigious academic environment. Located in the heart of London, the college provides a stimulating atmosphere that encourages meaningful contributions to diverse fields such as astrophysics, biology, finance, and healthcare.
Contact Details:
The International Society for Bayesian Analysis Recruitment Team
