Job Description
About the Role
The Department of Mathematics at the University of Sussex is seeking a Research Fellow to contribute to an international, interdisciplinary project focused on modelling the spread and dynamics of tick-borne diseases.
This role sits within a collaborative research programme exploring how ecological and social factors influence the distribution of ticks, their hosts, and associated pathogens across different environmental and urbanisation gradients.
You will play a key role in developing and applying mathematical models to understand disease risk and inform strategies for managing and reducing infection spread.
Key Responsibilities
- Develop mathematical models, including metapopulation and network-based approaches
Analyse ecological and epidemiological data related to tick-borne diseases
Integrate spatial and temporal datasets from international research partners
Investigate environmental and social drivers of disease risk
Contribute to identifying intervention points for disease management
Collaborate with researchers at UK and international partner institutions
Communicate findings through publications, reports, and academic presentations
About the Project
This position is part of a four-year research initiative titled Eco-social dynamics of tick-borne pathogens along urbanisation gradients: establishment, spillover, and management, jointly funded by UKRI and the US National Science Foundation.
The project brings together researchers from the UK and USA, including collaborations with institutions such as the University of Bath and Columbia University, to improve understanding of how environmental change affects disease transmission.
About You
You will be a mathematically trained researcher with a strong interest in ecology, epidemiology, or applied modelling.
Essential requirements:
- PhD in Mathematics, Applied Mathematics, or a related discipline (or near completion at start date)
Strong background in mathematical biology, ecological modelling, or dynamical systems
Experience working with large and complex datasets
Proficiency in programming languages such as Python, MATLAB, or R
Desirable:
- Interest in interdisciplinary research linking mathematics with environmental or biological systems
Experience working in collaborative or international research environments
Strong communication skills for academic and cross-disciplinary engagement
You should be capable of conducting independent research while contributing effectively within a team.
About the School
The School of Mathematical and Physical Sciences at Sussex is a research-led academic environment committed to excellence in both teaching and research.
The School focuses on advancing knowledge across mathematics and physics, with strong emphasis on collaboration, interdisciplinary work, and real-world impact. It is home to an active research community that works closely with international partners and external organisations.
Why Join Sussex?
- Work on a globally relevant interdisciplinary research project
Collaborate with leading international institutions
Access strong research support and academic networks
Enjoy a supportive and inclusive academic environment
Work from a scenic campus near the South Downs
Visa and Work Eligibility
This role may be eligible for sponsorship under the UK Skilled Worker visa route and may also qualify for the Global Talent visa, depending on individual circumstances.
For official guidance, please refer to:
- Skilled Worker visa
Eligibility requirements
Salary and job criteria
Global Talent visa
ATAS clearance (if applicable)
Additional Information
- Application requires CV, personal statement (max 500 words), transcripts, referees, and application form
All work must be undertaken in the UK
Applications are encouraged from underrepresented groups in STEM