Location
Brighton, UK
Hours
Full-time considered up to a maximum of 1.0 FTE (37.5 hours). Requests for flexible working options will be considered (subject to business need).
Salary
Grade 7 starting at £38,784 per annum, pro‑rated if part‑time.
Contract Type
Fixed Term Contract
Responsibilities
- Assess potential zoonotic disease transmission pathways between bats and humans as part of the OneBAT consortium funded by Horizon Europe.
- Collaborate with an interdisciplinary network of researchers in ecology, epidemiology, and public health.
- Analyse a unique longitudinal dataset from maternity roosts in five European countries, integrating molecular and serological data to characterise infection dynamics of lyssaviruses, filoviruses, and coronaviruses.
- Apply advanced statistical and mechanistic modelling approaches, including fitting compartmental (SIR‑type) models to real‑world surveillance data from wild animal populations.
- Work closely with field ecologists and laboratory scientists across the consortium.
- Contribute to understanding how viruses persist and spread in natural host populations, with implications for predicting and mitigating zoonotic risks.
Qualifications
- PhD or equivalent experience in infectious disease modelling with strong quantitative skills.
- Experience fitting compartmental models to surveillance data and working with complex longitudinal datasets.
- High competency in R; familiarity with Python and efficient data‑management workflows is advantageous.
- Ability to interpret molecular and serological data and communicate research methods clearly to non‑specialists.
- Strong track record of effective teamwork and excellent interpersonal skills.
- Under‑standing of infectious disease epidemiology in wild populations and ecological or epidemiological modelling approaches is preferred.
Equality and diversity
The University is committed to equality and valuing diversity, applications are particularly welcomed from women and black and minority ethnic candidates, who are under‑represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex. The University of Sussex values the diversity of its staff and students, and we welcome applicants from all backgrounds.
Visa and sponsorship
Visa Sponsorship Queries: This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full‑time and appointed at Grade 7.4. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship. This position may be subject to ATAS clearance if you require visa sponsorship (code: CAH03‑01‑03 – Ecology and Environmental Biology). The University requires that work undertaken for the University is performed in the UK.
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