Snabbfakta
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- London
Ansök senast: 2024-06-13
Lecturer in Statistics or Machine Learning
The role
The School of Mathematics is seeking to appoint a Lecturer (analogous to Assistant Professor) in Statistics or Machine Learning, to be interpreted as broadly including Statistics, Data Science, statistical Machine Learning and Artificial Intelligence, or closely related disciplines. We are looking for a world-class researcher in any of these areas.
The School is one of the UK’s leading centres for mathematics (ranked 4th for research intensity and joint 5th for GPA in the national REF2014 assessment). Comprising over 150 academic, research and professional services staff, the School has moved to its new home in the historic Grade II-listed Fry Building in the heart of the University precinct. Following a £33 million three-year renovation project, the Fry Building provides state-of-the-art facilities for mathematics teaching and research. Research in the School is organised around five research institutes and this position is attached to the Institute of Statistical Science. The Institute is a thriving research centre with expertise ranging from the theoretical foundations of Statistics, Machine Learning and Artificial Intelligence to high-impact, cross-disciplinary science and partnerships with industry. Major initiatives lead by members of the Institute include the recently awarded, UKRI-funded INFORMED-AI and Probabilistic AI (Prob-AI) hubs; Compass, our centre for Doctoral Training in Computational Statistics and Data Science; and our BSc programme in Data Science.
What will you be doing?
The post-holder will be responsible for developing their own internationally leading, independent research programme and supervising postdoctoral researchers and postgraduate students. The post-holder with take on teaching duties, both undergraduate and postgraduate, within the School of Mathematics, as required. They will also take on take on appropriate administrative duties within the School of Mathematics and the University, as required.
You should apply if
Applicants should be able to demonstrate or evidence strong potential for excellence in world-class research and the ability to deliver high-quality teaching.
