We are seeking
a postdoc to support our ongoing work on improving disease surveillance for emerging and endemic pathogens. This work utilizes advanced epidemiological modelling combined with AI methods for adaptive rather than static surveillance design. This project is particularly exciting because it combines new advances in methodologies with direct applications in public health and biosecurity. For example, how shall we allocate sparse resources to detect pathogens early, characterize their growth and key parameters, and track their evolution and spatial spread? This post is full time and fixed-term for 12 months. Prior work on the topic from our team is available at:. About you The postholder will have a strong quantitative background with application to infectious diseases. They will be able to perform advanced modelling for informing biosecurity risk assessments and be skilled at communicating their research to stakeholders across multiple sectors. The University of Oxford is committed to equal opportunity, and to being a place where everyone belongs and is supported to succeed. We recognise how the diversity of our community enriches our ability to deliver on our academic mission. We welcome applications from individuals from all backgrounds, including those under-represented within higher education. No applicant or members of staff shall be unlawfully discriminated against on the basis of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation.