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AI POLICY FELLOWSHIP SPRING 2027 – The Institute for AI Policy and Strategy (IAPS)

The Institute for AI Policy and Strategy (IAPS) is inviting applications for the AI Policy Fellowship Spring 2027 .

Title: AI Policy Fellowship – Spring 2027
Location: Washington, D.C., London, or Remote
Closing Date: September 27, 2026
Work Format: Full-time; in-person or remote

This is a fully funded three-month programme for professionals from varied backgrounds seeking to strengthen practical policy skills and contribute to a positive future in a world with powerful AI.

The Spring 2027 Fellowship will run from February 22 to May 14, 2027 , with participants able to choose between the Washington, D.C., London, or Remote tracks.

All fellows must attend the initial two-week in-person event in Washington, D.C., from February 22 to March 5, 2027 .

Job Summary

  • Employer: The Institute for AI Policy and Strategy (IAPS)
  • Job Type: Full-time
  • Location: Harare, Zimbabwe
  • Category: Policy
  • Salary: $18,000 – $24,000 stipend
  • Closing Date: 2026-09-27

Key Responsibilities

  • Drafting briefings and proposals
  • Organising ambitious convenings
  • Advancing research to support actionable policy
  • Reviewing legislative drafts
  • Working on technical guidelines
  • Scope a research question with their supervisor during the first weeks
  • Take primary ownership of analysis and writing
  • Receive regular feedback on research direction, methods and drafting
  • Develop the ability to take a research project from an open question to evidence-based conclusions
  • Produce a publishable policy research output

Requirements

  • Applicants with policy, technical, academic, and government backgrounds are strongly recommended to apply.
  • The Fellowship is open to people from a wide variety of backgrounds.
  • Applicants are encouraged to familiarise themselves with IAPS’s areas of focus by reviewing its research.

Salary

$18,000 – $24,000 stipend

How to Apply

Apply by email: yuthaxis@gmail.com

Frequently Asked Questions

What qualifications or educational background are typically required for the AI Policy Fellowship at IAPS?

Usually a postgraduate degree in public policy, law, economics, or computer science with a focus on AI ethics. Candidates should have research experience in AI policy or related fields. Demonstrated knowledge of Zimbabwean regulatory frameworks is highly valued.

What are the typical day-to-day responsibilities of an AI Policy Fellow?

Conducting policy analysis and drafting briefs on AI governance for Zimbabwean stakeholders. Engaging with government ministries, NGOs, and industry partners to gather input. Supporting the development of national AI strategy documents and monitoring implementation.

How does the work culture in Zimbabwe influence expectations for this fellowship?

Work hours are generally flexible but deadlines are tight, especially during policy review cycles. Collaboration across sectors is encouraged, with frequent meetings in Harare or regional hubs. Respect for hierarchy and clear communication are valued in Zimbabwean professional settings.

What career progression can a fellow expect after completing the fellowship?

Fellows may move into senior policy analyst roles within government ministries or international NGOs. Opportunities exist to lead AI ethics committees or advisory boards in Zimbabwe. Continued engagement in research can lead to academic or consultancy positions.

What benefits and support are typically offered to fellows in Zimbabwe?

Fellows receive a stipend that covers living expenses and travel to meetings. Health insurance coverage is often provided through partner organizations. Paid leave and professional development allowances are common, though specifics vary by sponsor.

How should a job seeker apply for this fellowship and what qualities do Zimbabwean employers look for?

Submit a CV, cover letter, and two research samples through the IAPS portal by the application deadline. Employers value analytical skills, familiarity with AI policy debates, and the ability to communicate complex ideas to non-experts. Demonstrating prior collaboration with local stakeholders and a commitment to ethical AI practices strengthens the application.

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