Research Statistician

We are seeking a highly skilled and motivated Research Statistician to join our team at the International Society for Bayesian Analysis. The successful candidate will have a strong background in statistics and research design, with experience in developing and applying statistical models.

The role involves working closely with Prof Caitlin Buck and Professor Jeremy Oakley to develop Bayesian expert elicitation protocols and software, as part of research funded by The Leverhulme Trust project “Quantifying Uncertainty in Expert Archaeological Dating Evidence” (QUEADE).

Key Responsibilities:

• Develop new protocols and open-source software to allow experts in archaeological finds to formalise their knowledge about the dates of cultural objects that cannot readily be dated using scientific methods.
• Apply Bayesian inference techniques to quantify the expert knowledge using formal probability statements.
• Collaborate with researchers to improve the consistency and reusability of dating evidence for the most commonly dated finds from archaeological sites.

Requirements:

• PhD in Statistics, Science-based Archaeology, or a related subject.
• Confident programming skills, preferably with knowledge of R or Python.
• Background in expert elicitation, Bayesian inference, or qualitative data analysis is desirable but not essential.

The estimated salary for this position is £40,892 per annum, based on the UK national average salary for a Research Fellow in a similar field. We offer a competitive benefits package, including a generous pension scheme and access to professional development opportunities.