About the role
The post is an exciting opportunity for a researcher with a strong background in statistics or machine learning who would like to grow that skill set further. They will build hands on experience in developing methodology for machine learning methods and their intersections with causal inference and healthcare applications. The postholder will interact closely with members of the EPSRC Causality in Healthcare AI Hub (CHAI, an international consortium of universities, industry partners, government bodies, and regulatory entities to develop cutting-edge innovations to enhance patient care and outcomes.
This post is available from 1st of April (flexible later starting dates are possible), and funded full time for up to 24 months in first instance.
About you
A PhD or equivalent qualification in statistics, computer science or a closely related field is essential. Experience of statistical or machine learning programming is essential. Experience in causal modelling and/or healthcare applications is desirable.
What we offer
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
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