full-time/permanent Lecturer/Senior Lecturer (equiv Assistant/Associate Professor) in Statistic[...]

full-time/permanent Lecturer/Senior Lecturer (equiv Assistant/Associate Professor) in Statistics at Imperial College London

Jan 30, 2024

I am excited to announce that Imperial College London invites applications for one full-time permanent faculty member position at the Lecturer (equivalent to Assistant Professor) level, based both in the Statistics Section of the Math Department.

Imperial College London is a world-leading university whose reputation for excellence in research and teaching attracts students and staff of the highest international quality. Our three Faculties, Engineering, Natural Sciences and Medicine, together with the Imperial College Business School, explore the interface between science, medicine, engineering, and management.

We offer an attractive salary package (including a pension scheme with significant employer contributions) as well as generous terms and conditions of service. The post is a permanent position (comparable to tenured faculty positions). Other benefits to our staff are subsidised childcare on campus, flexible and family-friendly working policies, opportunities for further professional development, periodic sabbaticals, and free healthcare through the National Health Service. We can provide support and advice on the dual-career needs of candidates and their partners.

The Statistics Section acts as a focal point for coordinating data science research at Imperial College, supporting data-driven research in various application domains, including astrophysics, particle physics, biology, meteorology, medicine, finance and healthcare social sciences. The Section provides in particular a strong and interdisciplinary research network covering all aspects of big data analysis and machine learning, through links to Imperial’s Data Science Institute, the Mathematics in Medicine initiative; Imperial’s Machine Learning Initiative, Imperial’s Artificial Intelligence Network, Imperial X to tackle the world’s greatest challenges in collaboration with large cooperations and start-ups. The Statistics section comprises 34 members of staff, 60 PhD students, and 8 postdoctoral researchers or research fellows, providing a vibrant research environment across all aspects of statistics, especially for young scientists to realize their full potential.

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