Stellenbosch University in South Africa is inviting applications for an exciting Postdoctoral Research Fellowship focused on One Health, pathogen genomics, climate, environmental data and infectious disease modelling across Africa.
The fellowship is hosted by the Centre for Epidemic Response and Innovation (CERI) at Stellenbosch University and provides an opportunity for an experienced early-career researcher to work at the intersection of genomic epidemiology, infectious diseases, climate science, environmental modelling, data science and public health.
The successful fellow will investigate how environmental and climate-related factors influence the emergence, transmission, persistence and resurgence of cholera and other climate-sensitive infectious diseases across Africa. The project will combine pathogen genomic information with environmental, climatic, demographic and human-related data to develop models that can help improve disease surveillance, outbreak preparedness and public-health decision-making.
The fellowship offers a competitive tax-free stipend and can run for up to three years. It also provides opportunities to collaborate with major international research partners, including the University of Oxford and Cornell University.
Overview of the Stellenbosch University Postdoctoral Fellowship
This is a highly interdisciplinary research opportunity designed for researchers who want to contribute to understanding and predicting infectious disease outbreaks in Africa.
The fellowship brings together several rapidly developing areas of science, including:
- Pathogen genomics
- Genomic epidemiology
- Phylogenetics
- Phylodynamics
- Phylogeography
- Infectious disease epidemiology
- Climate-health research
- Environmental science
- Disease ecology
- Spatial epidemiology
- Geospatial modelling
- Machine learning
- Bayesian statistics
- Data science
- One Health
- Public health
Rather than examining infectious diseases through a single discipline, the project takes an integrated approach. Researchers will combine pathogen genomic information with environmental and climate data and other factors that can influence how diseases emerge and spread.
This makes the fellowship particularly relevant to researchers interested in understanding how climate change, environmental disruption and human activity can alter infectious disease risks across African populations.
About the Host Institution
The fellowship is based at the Centre for Epidemic Response and Innovation (CERI) at Stellenbosch University in South Africa.
CERI is an academic and research centre focused on strengthening Africa’s ability to identify, monitor and respond to epidemics and pandemics. The centre combines genomics, data science, epidemiology and other disciplines to address infectious disease threats.
The successful candidate will become part of the centre’s One Health Program and Data Science Unit and will participate in the CLIMADE consortium.
CLIMADE focuses on understanding diseases that are amplified or influenced by climate and environmental changes. Its research brings together pathogen genomics, epidemiology, environmental information and modelling to better understand and respond to climate-sensitive epidemics.
What Will the Postdoctoral Fellow Research?
The central research theme involves understanding the relationship between pathogens, climate, environmental conditions and human populations.
The researcher will work particularly on cholera and other infectious diseases whose emergence or transmission can be influenced by environmental and climate conditions.
The project aims to develop models that can help answer questions such as:
- Where are climate-sensitive disease outbreaks most likely to occur?
- How do pathogens move between different populations and geographical regions?
- How do flooding, rainfall, drought and temperature influence disease transmission?
- How do human movement and displacement affect the spread of pathogens?
- How do environmental changes influence pathogen persistence?
- How can genomic information reveal transmission pathways?
- How can genomic and environmental information be combined to improve outbreak prediction?
- How can scientific evidence support disease surveillance and outbreak preparedness?
The fellow will therefore work with complex datasets covering both biological and environmental information.
Integrating Pathogen Genomics With Climate and Environmental Data
One of the most important features of this fellowship is its emphasis on data integration.
Pathogen genomes can provide information about how infectious organisms evolve and spread. However, genomic information alone may not fully explain why outbreaks occur in particular locations or at particular times.
The project therefore seeks to combine genomic data with other forms of information, including:
- Climate data
- Rainfall
- Temperature
- Flooding
- Drought
- Environmental data
- Land-use change
- Urbanisation
- Mining
- Human mobility
- Population and demographic information
- Human displacement
- Conflict
- Healthcare access
- Epidemiological information
By combining these datasets, researchers can build a more comprehensive understanding of disease dynamics across different African settings.
Focus on Cholera and Other Climate-Sensitive Diseases
Cholera is a major component of the research focus.
The disease is particularly relevant to climate and environmental research because factors such as rainfall, flooding, water availability, sanitation and environmental conditions can influence transmission patterns.
The research will not necessarily be limited to cholera. The broader focus includes other infectious diseases whose emergence, transmission or persistence can be influenced by climate and environmental conditions.
This provides an opportunity for researchers with backgrounds in infectious diseases, epidemiology, environmental health, disease ecology, genomics and quantitative modelling to contribute to a broader One Health research agenda.
Key Responsibilities of the Postdoctoral Fellow
The successful candidate is expected to undertake substantial independent research while contributing to the wider activities of the research team.
Key responsibilities include:
1. Integrating multiple datasets
The researcher will work with genomic, epidemiological, environmental, climatic, demographic and anthropogenic datasets.
This will require the ability to manage and analyse large and complex datasets and identify relationships between biological, environmental and population-level factors.
2. Applying advanced analytical methods
The fellow may use several analytical approaches, depending on their expertise and the research question.
These include:
- Phylogenetic analysis
- Phylodynamic modelling
- Phylogeographic analysis
- Geospatial analysis
- Statistical modelling
- Ecological modelling
- Bayesian methods
- Machine learning
- Spatial modelling
- Climate-health modelling
Applicants do not necessarily need to be experts in every method. The advertised requirements indicate expertise in at least one relevant area is important.
3. Modelling pathogen movement
An important part of the research will involve understanding how pathogens move through populations and geographical areas.
This can include investigating:
- Transmission corridors
- Human mobility
- Population displacement
- Pathogen persistence
- Spillover
- Disease resurgence
- Cross-border transmission
4. Developing predictive frameworks
The research will contribute to spatially explicit and predictive frameworks capable of linking genomic epidemiology with climate, environmental and human-related factors.
The ultimate objective is to generate evidence that can support practical public-health activities such as surveillance, preparedness and resource allocation.
5. Publishing research
The fellow will be expected to contribute to and lead scientific publications arising from the research.
This is an important opportunity for researchers seeking to strengthen their publication record and establish themselves as independent researchers.
6. Contributing to grant development
The position may also involve contributing to research funding applications and broader grant-development activities.
7. Mentoring students
The fellow may contribute to student mentorship and research training within the programme.
8. Stakeholder engagement
The researcher will have opportunities to engage with stakeholders and research partners, helping translate scientific findings into useful evidence for public health.
9. International collaboration
The project involves African and international research partners, creating opportunities for collaboration beyond South Africa, including links with the University of Oxford and Cornell University.
Fellowship Duration
The fellowship is available for up to three years.
This relatively long duration is significant for a postdoctoral research position because it can provide sufficient time to:
- Develop the research programme.
- Analyse complex datasets.
- Build and test models.
- Produce scientific publications.
- Develop international collaborations.
- Contribute to grant applications.
- Build an independent research profile.
The exact continuation of the fellowship will be subject to the applicable fellowship and institutional conditions.
Stipend and Financial Support
The position offers a competitive tax-free fellowship stipend.
The tax-free nature of the stipend can make the opportunity particularly attractive to researchers considering an international postdoctoral appointment.
However, applicants should carefully review the official fellowship terms and application information for the complete financial conditions before making relocation or financial decisions.
Academic Eligibility and Qualifications
The fellowship is primarily intended for researchers who have already completed doctoral-level training.
According to the current CERI announcement, applicants should normally hold a PhD or equivalent qualification obtained within the past five years. Relevant disciplines include:
- Bioinformatics
- Computational biology
- Epidemiology
- Data science
- Disease ecology
- Geography
- Public health
- Or another closely related field
This means the opportunity is particularly suitable for researchers whose doctoral research involved quantitative analysis, infectious diseases, genomics, environmental health or related areas.
Quantitative and Programming Skills
Applicants should have strong quantitative abilities.
The fellowship specifically identifies proficiency in R and/or Python as an important requirement, particularly for analysing large and complex datasets.
Experience in programming and data analysis can therefore be an important component of a competitive application.
Researchers who have worked with large genomic, epidemiological, environmental or spatial datasets may be particularly well positioned for the role.
Relevant Research Expertise
Applicants should have expertise in at least one relevant research area.
These may include:
- Genomic epidemiology
- Phylogenetics
- Phylodynamics
- Spatial modelling
- Climate-health analysis
- Ecological modelling
- Bayesian statistics
- Machine learning
The interdisciplinary nature of the project means that candidates may enter from different academic backgrounds, provided their expertise can contribute meaningfully to the research programme.
Additional Experience That Can Strengthen an Application
While some experience is described as desirable rather than essential, applicants may strengthen their profile through experience with:
- BEAST or related phylodynamic tools
- GIS
- Remote sensing
- Reproducible research workflows
- Climate-sensitive diseases
- Environmental surveillance
- Humanitarian settings
- Infectious disease research in Africa
- Collaborative or multidisciplinary research
Experience in these areas can demonstrate that the applicant is prepared to work across disciplines rather than focusing exclusively on one type of dataset.
Research Independence and Publications
The fellowship is aimed at postdoctoral researchers who can demonstrate scientific independence.
Applicants should therefore be prepared to demonstrate:
- Independent research experience
- Peer-reviewed publications
- Quantitative research experience
- Strong scientific writing
- Ability to work collaboratively
- Ability to communicate research findings effectively
A strong CV should clearly demonstrate what the applicant personally contributed to previous research projects rather than simply listing the projects they participated in.
International Collaboration and Research Exposure
Another major attraction of this fellowship is its international research environment.
The fellow will work alongside African and international partners and will have opportunities for collaboration involving institutions such as the University of Oxford and Cornell University.
This can provide valuable exposure to:
- International research networks
- Multidisciplinary scientific teams
- Global infectious disease research
- Genomic epidemiology
- Climate-health research
- Advanced computational methods
- Collaborative publications
- International scientific communication
For researchers planning an academic career, this type of international collaboration can be valuable for developing a strong research network.
Training and Mentorship
The fellowship also offers access to research training and mentorship.
According to the CERI announcement, fellows will receive hands-on exposure to infectious disease genomic epidemiology and will be mentored by researchers working at a high level of international scientific research. The programme notes researchers publishing in journals including Science, Nature, Cell and The Lancet.
This makes the opportunity particularly attractive to researchers seeking to deepen their expertise in genomic epidemiology and quantitative infectious-disease research.
Where Is the Fellowship Based?
The fellowship is based at Stellenbosch University in Stellenbosch, South Africa, through CERI.
The position may also provide opportunities for fieldwork and international collaboration.
Applicants outside South Africa should therefore consider the practical requirements associated with relocating to South Africa if selected.
Why This Fellowship Is Important for Africa
Africa continues to face substantial infectious disease challenges, while climate and environmental changes are creating additional complexities for disease prevention and control.
Understanding these challenges requires more than traditional epidemiological surveillance.
Researchers increasingly need to combine:
Genomics + Epidemiology + Climate Data + Environmental Science + Human Mobility + Data Science
This fellowship is designed around precisely that type of integrated approach.
The research could contribute to better understanding of where and when outbreaks are likely to occur, how pathogens move between populations, and which environmental or human factors may contribute to disease emergence and resurgence.
Importantly, the project seeks to translate research findings into evidence that can support surveillance, preparedness and resource allocation.
Career Benefits of the Fellowship
A successful postdoctoral fellow could gain several important professional benefits, including:
- Up to three years of postdoctoral research experience.
- A competitive tax-free fellowship stipend.
- Experience at a major African research institution.
- Exposure to pathogen genomic research.
- Experience combining genomic and environmental datasets.
- Training in infectious disease genomic epidemiology.
- Opportunities to strengthen scientific publications.
- International research collaboration.
- Exposure to interdisciplinary research.
- Experience in advanced quantitative modelling.
- Opportunities for student mentorship.
- Experience contributing to grant development.
- Opportunities to build a global scientific network.
- Experience addressing major public-health challenges affecting Africa.
Who Should Consider Applying?
This fellowship could be particularly suitable for researchers who have recently completed a PhD and want to build a career in areas such as:
- Infectious disease research
- Genomic epidemiology
- Bioinformatics
- Computational biology
- Public health
- Epidemiology
- Climate and health
- Disease ecology
- Environmental health
- Spatial epidemiology
- Data science
- Machine learning
- Pathogen surveillance
- One Health research
Researchers with interdisciplinary backgrounds may be particularly interested because the project brings biological, environmental, computational and public-health approaches together.
Application Deadline
Deadline: 25 September 2026 at 22:00 SAST.
Applicants should avoid waiting until the final day because they may need time to prepare a strong CV, cover letter and supporting information.
How to Apply
Interested researchers should review the official CERI announcement and application instructions carefully before submitting their application.
The application requires a cover letter explaining the applicant’s motivation, expertise and career goals.
APPLY HERE
Applicants should ensure that their application clearly demonstrates the connection between their previous research and the proposed fellowship.
Recommended application preparation
Before applying, candidates should:
- Update their academic CV.
- Highlight their PhD research.
- Clearly list relevant publications.
- Highlight programming experience in R and/or Python.
- Explain experience with genomic, epidemiological or environmental datasets.
- Identify relevant modelling or statistical expertise.
- Highlight interdisciplinary research experience.
- Explain their interest in climate-sensitive infectious diseases.
- Prepare a focused cover letter.
- Demonstrate how the fellowship fits their long-term research career.
Learn more about this opportunity HERE
Application Tip
One of the strongest ways to approach this application is to connect your previous research directly to the fellowship’s research objectives.
For example, instead of simply stating that you have experience in Python, R, epidemiology or genomics, explain what you have actually used those skills to accomplish.
An effective application should make it easy for the selection team to see:
Your previous research → your technical skills → your publications → your research interests → how they fit this fellowship.
Candidates should also demonstrate that they understand the importance of integrating genomic data with environmental and climate information rather than presenting themselves as interested in only one component of the project.
Conclusion
The Stellenbosch University Postdoctoral Fellowship in One Health Genomic and Environmental Modelling of Infectious Diseases in Africa represents an important opportunity for researchers working at the intersection of infectious diseases, genomics, climate, environmental science and data analytics.
With a tax-free stipend, a duration of up to three years, international collaboration opportunities and access to CERI’s One Health and Data Science research environment, the fellowship can provide a strong platform for researchers seeking to develop an independent scientific career.
The research focus is especially relevant to Africa because it seeks to understand how pathogens interact with changing environmental and climatic conditions and how these relationships can influence outbreaks.
Researchers with a PhD in a relevant discipline, strong quantitative skills, R and/or Python experience, relevant expertise in areas such as genomic epidemiology, phylodynamics, spatial modelling, climate-health research or machine learning, and evidence of scientific independence should consider this opportunity.
The application deadline is 25 September 2026 at 22:00 SAST.
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