Lecturer in Data Science

Newcastle University

Newcastle upon Tyne, UK

Application Deadline
£37,474 to £46,047

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social, and cultural development of the Northeast of England. Attracting and retaining high-calibre people is fundamental to our continued success.

What’s in it for you? Newcastle University is a great place to work, with excellent benefits. We have a generous holiday package; plus, the opportunity to buy more, great pension schemes and several health and wellbeing initiatives to support you, discounted travel for the Metro and local bus services; and discounts for national retailers.

We are committed to building and maintaining a fair and inclusive working environment and we would be happy to discuss arrangements for flexible and/or blended working.

Applications are invited for multiple vacancies for Lecturer in Data Science within the School of Mathematics, Statistics & Physics, with a flexible start date to be agreed. The successful candidate will be expected to carry out excellent research and teaching in an area of data science which compliments and strengthen our existing activities.

The successful candidate will benefit a thriving environment in data science. The School’s research activities in statistics, pure and applied mathematics, and physics span the theory and methods underpinning data science through to data-driven applications in the life sciences, the cosmos and industry. Data science is one of the key research themes of Newcastle University. We are part of the Alan Turing Institute and collaborate with the £30 million Newcastle-based National Innovation Centre for Data (NICD). We are partners with the School of Computing in the delivery of an MSc in Data Science and the development of an online version of this programme. Our NUdata Centre for Doctoral Training in Data Intensive Science for Astrophysics is now recruiting its second cohort and will run until 2028

We particularly seek candidates whose research aligns to one of the following areas of activity in the School: Statistical data science, astrostatistics, mathematical biology & epidemiology, and mathematical data science.

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