Postdoctoral Fellow - Epidemiology & Spatial Modelling

SACEMA (South African Centre for Epidemiological Modelling and Analysis)

Stellenbosch

On-site

ZAR 520,000 - 700,000

Full time

2 days ago
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Job summary

SACEMA at Stellenbosch University invites applications for postdoctoral fellowships at the interface of epidemiology, spatial analysis and infectious disease modelling. Fellows will contribute to ambitious, policy-relevant research with large-scale health data and cross-disciplinary collaboration.

Successful candidates will develop an independent research profile, publish in leading journals, and help translate modelling insights into public health impact in Africa.

Qualifications

  • PhD in epidemiology/biostatistics/statistics/spatial analysis or quantitative discipline relevant to population health research.
  • Experience in epidemiological analysis, biostatistics or infectious disease modelling.
  • Strong programming skills (R, Stata, Python) or equivalent.
  • Ability to lead independent research and collaborate across a multidisciplinary team.
  • Excellent scientific communication and academic writing with peer‑reviewed publications.

Responsibilities

  • Conduct quantitative research at the interface of epidemiology, spatial analysis and infectious disease modelling.
  • Evaluate interventions and contribute to policy-relevant public health insights.
  • Publish in leading scientific journals and present findings to collaborators.

Skills

Epidemiological analysis
Biostatistics
Spatial epidemiology
Infectious disease modelling
Academic writing

Education

PhD in epidemiology/biostatistics/quantitative population health

Tools

R
Stata
Python

Job description

SACEMA at Stellenbosch University invites applications for postdoctoral fellowships at the interface of epidemiology, spatial analysis and infectious disease modelling. Fellows will contribute to ambitious, policy-relevant research with large-scale health data and cross-disciplinary collaboration.

Successful candidates will develop an independent research profile, publish in leading journals, and help translate modelling insights into public health impact in Africa.

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