Research Associate in Probabilistic Machine Learning for Modelling Biological Systems

The successful applicant will have a PhD (or equivalent) with a significant computational and/or statistical element and will have experience of probabilistic modelling and/or machine learning. A strong interest in biology is essential. The candidate should also have a good scientific publication record given career stage and be self-motivated, hard-working and able to work in a team.

The University will actively foster a culture of inclusion and diversity and will seek to achieve true equality of opportunity for all members of its community.

What you will get in return:

• Fantastic market leading Pension scheme


• Excellent employee health and wellbeing services including an Employee Assistance Programme


• Exceptional starting annual leave entitlement, plus bank holidays


• Additional paid closure over the Christmas period


• Local and national discounts at a range of major retailers


As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working you can find out more here

Hybrid working arrangements may be considered.