Assistant Professor in Data Science

LSE is committed to building a diverse, equitable and truly inclusive university.

For this post, we particularly welcome applications from women and people from minority ethnic groups.

Salary is no less than £64,552 per annum and the salary scale can be found on the  LSE website

Based in the Department of Statistics, the post holder will contribute to the intellectual life of the School through conducting and publishing outstanding quality research, engaging in high quality teaching as instructed by the Head of Department, and participating in the School and wider Department activities.

Applications for this new post are invited from outstanding candidates in the field of data science, with a focus on its computational, machine learning, or computational statistics aspects. Successful candidates will join an established and successful department and contribute to its research and teaching in data science. The post is tenable from 1^st September 2025.

You should have an established track record of research at a level of international excellence as well as a completed (or nearly completed) PhD in computer science, mathematics, statistics or other related area. You will maintain an active research programme and contribute to the general work of the department, including teaching of computing and machine learning courses. In particular, the teaching may include courses on the MSc in Data Science and the BSc in Data Science programmes, both run by the Department of Statistics. Candidates should have experience of undertaking research on data science methodology, with a focus on its computational, machine learning, or computational statistics aspects. The successful candidate will join a vibrant research environment in the Department of Statistics. Data science is a key priority area in the LSE 2030 strategy, which provides exciting opportunities for creating new initiatives, collaborations, and making an impact in this area.

The other criteria that will be used when shortlisting for this post can be found in the person specification, which is attached to this vacancy on the LSE’s online recruitment system.

In addition to a competitive salary the benefits that come with this job include an occupational pension scheme, a research incentive scheme with personal reward options, generous research leave (sabbatical) entitlement, a collegial faculty environment and excellent support, training and development opportunities.

For further information about the post, please see the how to apply document, job description and the person specification.

To apply for this post, please click the 'Apply' button above. If you have any technical queries with applying on the online system, please use the “contact us” links at the bottom of the LSE Jobs page. Should you have any queries about the role, please email i.noble-andolfo@lse.ac.uk  

The closing date for receipt of applications is Sunday 8 December 2024 (23.59 UK time). We are unable to accept any late applications.

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