Ref Number B04-07507 Professional Expertise Research and Research Support Department UCL BEAMS (B04) Location London Working Pattern Full time Salary See advert text Contract Type Fixed-term Working Type Hybrid Available for Secondment No Closing Date 27-Jul-2026 About us
The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject since its foundation in 1911. It is one of nine departments in the UCL Faculty of Mathematical and Physical Sciences and has close links with many other departments, both within the Faculty and outside of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In the last Research Excellence Framework exercise (2021/22), over 97% of our output was classified as “world-leading” or “internationally excellent” in terms of originality, significance and rigour. We consistently score highly in the National Student Survey in the Postgraduate Taught Experience Survey.
The post is an exciting opportunity for a researcher with a background in mathematics, statistics or machine learning who would like to grow that skill set further. They will build hands on experience in developing novel computational tool to enable the use of large-scale models and will have the opportunity to develop their expertise on dissemination of research. The postholder will be expected to join, and be an active member in, the Fundamentals of Statistical Machine Learning research group. This post is funded by the Engineering and Physical Sciences Research Council, grant EP/Y022300/1 and applicants are recommended to look at the grant description. In addition, further details on Prof Briol’s work on this topic to date can be found on the following webpage.
The post is funded for 8 months and available from the 1st of January 2027, although an earlier start date may be possible subject to approval from the funder. The role is suitable at either Research Assistant level (grade 6B; i.e. an applicant with an MSc degree) or Research Fellow level (grade 7; i.e. an applicant with a PhD degree).
Salary grade 6Bspine point 25 £39,148 per annum to spine point 28 £41,833 per annum
Salary grade 7 spine point 31 £45,103 to spine point 37 £52,586 per annum
The successful candidate must have a MSc or a PhD in statistics, mathematics or machine learning and strong programming skills in Python or R. They will also have a good understanding of the main computational methods used to compute intractable expectations and a strong mathematical background.
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
Additional 5 days’ annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Immigration loan
Relocation scheme for certain posts
On-Site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
The department holds a Silver Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. We strongly support UCL’s Equalities and Diversity Strategy and encourage applications to our vacancies from under-represented groups.
EuroStaffs operates in 19+ countries with around 150 staff and generates multi-million dollar annual revenue. It serves as a vertical search engine aggregating jobs, CV tools, career blogs, and admissions. Revenue comes from premium services for employers and institutions, while job seekers and students access applications, resume tools, and ads for free.
Arabic
Chinese
French
Russian
Spanish