Chair or Readership in Statistics at Imperial College London (permanent)

The International Society for Bayesian Analysis; City Of London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A prominent academic institution in London seeks a qualified individual for a Chair or Readership in Statistics to conduct impactful research and contribute to teaching in multiple MSc programmes. Ideal candidates will be experts in statistical learning and Bayesian methods, engaging in diverse, interdisciplinary collaborations across fields such as finance, medicine, and public policy.

Qualifications

• Outstanding individual for a Chair or Readership in Statistics.
• Expertise in statistical learning and Bayesian methods.

Responsibilities

• Conduct interdisciplinary research in Statistical Science.
• Develop methods for applied statistical problems.
• Engage in research collaborations across various fields.

Job description

Chair or Readership in Statistics at Imperial College London (permanent)

Oct 5, 2021

Applications are invited from outstanding individuals for a Chair or Readership in Statistics, to start from October 2022, or sooner.

The Statistics Section in the Department of Mathematics is committed to research in Statistical Science, broadly interpreted. We undertake rigorous interdisciplinary research, developing methods for applied problems, and the statistical theory underpinning these methods. Expertise in statistical learning, Bayesian, computational, time series, spatio-temporal, and applied-probabilistic methods is deployed to a rich array of interdisciplinary collaborations, ranging from cyber-security, to astrostatistics, the mathematics of planet earth, biomathematics, medicine and epidemiology, public policy, energy, finance, and data-centric engineering.

The Section offers two MSc programmes, one in Statistics and a new online programme in Machine Learning and Data Science. It also leads the EPSRC-funded Centre for Doctoral Training in Modern Statistics and Statistical Learning (joint with Oxford Statistics and Imperial Computing). Our new online MSc is enabling significant expansion in the Section over the next several years, including multiple staff hires. With 29 academic staff, many postdoctoral researchers, and over 50 PhD students the Section offers an engaging, diverse, and lively research culture. The Statistics Section is a key player in IX: an exciting new strategic initiative providing an environment for research, education and entrepreneurship across artificial intelligence, data science and digital technologies based at Imperial’s White City campus. Further details of the Section and its activities are available on Statistics Section’s website.