Research Assistant/Fellow in Computational Statistics and Machine Learning Full-time

Research Assistant/Fellow in Computational Statistics and Machine Learning

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 tools 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 6B spine 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

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.