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

The International Society for Bayesian Analysis; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

The International Society for Bayesian Analysis invites applications for a permanent Chair or Readership in Statistics at Imperial College London. This role focuses on research in Statistical Science with an emphasis on interdisciplinary collaboration across fields such as cyber-security, medicine, and finance.

Qualifications

• Expertise in statistical learning and Bayesian methods.
• Leadership experience in an academic or research-oriented environment.
• Strong collaborative skills across interdisciplinary domains.

Responsibilities

• Conduct research in Statistical Science and applied fields.
• Lead the Statistics Section and engage in teaching and mentorship.
• Develop interdisciplinary collaborations in various sectors.

Skills

Statistical Learning

Bayesian Methods

Computational Methods

Time Series Analysis

Spatio-Temporal Methods

Applied-Probabilistic Methods

Job description

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

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 the Statistics Section’s website.