Deadline: October 26, 2025
Are you passionate about using data science and artificial intelligence (AI) to shape public policy and create real social impact? The Policy Innovation Lab Postdoctoral Fellowship in Data Science and Policy Innovation 2026–2027 at Stellenbosch University, South Africa, offers an exceptional opportunity for emerging researchers to work at the intersection of technology and policy.
This fully funded two-year fellowship is designed to equip postdoctoral researchers with the skills, environment, and resources to explore responsible AI applications that can drive meaningful policy change.
About the Fellowship
The Policy Innovation Lab Postdoctoral Fellowship in Data Science and Policy Innovation 2026–2027 is hosted by Stellenbosch University’s School for Data Science and Computational Thinking. Fellows will work in a dynamic, interdisciplinary environment to conduct innovative research, shape responsible AI policies, and collaborate with policymakers and practitioners to solve real-world challenges.
- Host Institution: Stellenbosch University, School for Data Science and Computational Thinking
- Location: Stellenbosch, South Africa
- Fellowship Duration: 2 years
- Annual Stipend: R420,000 (tax-free)
- Application Deadline: 26 October 2025
Please note that fellows are not considered employees, and therefore are not entitled to standard employee benefits.
Fellowship Objectives
The fellowship is focused on harnessing Responsible AI to improve policy-making. Fellows will engage in research and practical policy innovation activities that involve both:
- Applying AI and data science tools to enhance policy processes
- Contributing to the development of policies that promote responsible and ethical use of AI
Eligibility Criteria
To be eligible for the fellowship, applicants must meet the following requirements:
- Hold a PhD in engineering, data science, statistics, computer science, mathematics, economics, or a related field.
- Demonstrate a strong interest in using technology for societal impact.
- Possess strong programming skills and quantitative research abilities.
- Be able to work collaboratively in a fast-paced, interdisciplinary environment.
- Be willing to relocate to Stellenbosch and work on campus during regular working hours.
Roles and Responsibilities
Successful fellows will be expected to contribute to the Policy Innovation Lab through a mix of research, engagement, and capacity-building activities, including:
- Conducting high-quality, peer-reviewed research aligned with the Lab’s mission.
- Using data science and responsible AI tools to address real policy challenges.
- Supporting training and capacity-building programmes.
- Collaborating with experts, policymakers, funders, and civil society actors across sectors.
Application Requirements
Applicants must submit the following documents to be considered:
- A succinct cover letter outlining motivation and suitability for the role.
- A current curriculum vitae (CV).
- Certified proof of qualifications (e.g. PhD certificate).
- A reference letter from the doctoral supervisor.
Why Apply?
This fellowship offers numerous benefits for researchers interested in making a tangible societal impact:
Key Benefits
- Opportunity to work at the intersection of data science, AI, and policy.
- Contribute to shaping real policy reforms in South Africa.
- Competitive, tax-free annual stipend.
- Exposure to a vibrant academic and policy network.
Things to Consider
- Fellows must relocate to Stellenbosch and be based on campus.
- No employee benefits are included, so you should plan accordingly.
- Competition is expected to be strong, so a solid track record in responsible AI, policy innovation, or societal impact projects will strengthen your application.
Tips for a Strong Application
To increase your chances of success, consider the following:
- Align your research proposal with the fellowship’s core theme of responsible AI and policy innovation.
- Showcase your impact by highlighting previous projects that addressed societal or policy challenges.
- Demonstrate technical excellence, such as publications, coding expertise, and applied AI work.
- Secure a strong reference from your doctoral supervisor, emphasising your research quality and collaborative skills.
- Plan relocation early, considering visa, housing, and living costs.
Important Links
👉 Read more about the programme
For expert support with proposal drafting, refining, and review, contact us today to strengthen your application and increase your chances of success.
