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

For this post, we particularly welcome applications by women and ethnic minorities

Department of Statistics

Assistant Professor in Data Science

Salaries will be on the appropriate salary scale and will be commensurate with experience, taking into account pay equity within the Department. 

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. The successful candidate will join an established and successful department and contribute to its research and teaching in data science and contribute to the general work of the department.

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 post is tenable from 1^st September 2020.

You will have an established track record or trajectory of research at a level of international excellence and proven ability, as evidenced by existing publications, or potential to publish in top journals in data science. You will also have a clear, well developed and viable strategy for future outstanding research that has the potential to result in world-leading publications.

You must have a completed (or nearly completed) PhD in computer science, mathematics, statistics or other related area by the post start date. You will maintain an active research programme and contribute to the general work of the Department, including teaching of computing and machine learning courses. You will have the ability to teach data science courses at both undergraduate and postgraduate level. In particular, the teaching may include courses on the existing MSc in Data Science and planned new 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 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.

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 Friday 6^th December (23.59 UK time). We are unable to accept any late applications.