Google Higher Ed Faculty AI Fellowship 2026 for University and college faculty members.

Introduction

Applications are now open for the 2026 Google for Education Higher Ed Faculty AI Fellowship. This fellowship supports those who are thoughtfully integrating AI to advance research and discovery while elevating the student experience.

Program Description

The Google Higher Ed Faculty AI Fellowship is a program designed for university faculty who are integrating artificial intelligence into teaching, research, and institutional innovation. Fellows join a global community of academic leaders working to advance responsible AI and improve student outcomes across higher education.

Benefits

• As pioneers of AI, fellows are empowered to champion innovation not only for their institution, but also for higher education at large.

Eligibility Criteria

The fellowship is ideal for:

• University and college faculty members
• Academic researchers integrating AI into their work
• Educators leading curriculum innovation
• Institutional leaders interested in AI policy and strategy Applicants should already have hands-on experience with AI and a clear vision for how it can transform higher education.

Virtual Sessions and In-Person Event

• Virtual Sessions:
  • Tue, May 19
  • Tue, June 9
  • Tue, June 30
• In-Person Event:
  • Fri, Oct 23, 2026 | London

Benefits of the Fellowship

• Lead institutional transformation by addressing the most pressing AI challenges at your institution
• Amplify your professional impact by joining an exclusive global network of pioneers
• Master advanced skills and tools to enhance your instructional practice and lead innovation

Application Process

The Fellowship cohort is selected through a highly curated process designed for faculty already pioneering AI in their disciplines and research. The application process involves 4 steps:

Step 1: Application Pathways

There are two pathways to apply:

• Nomination Route: Receive a formal invitation through nomination by a Google leader
• Direct Application: Submit your application independently through the official platform

Step 2: Portfolio of Innovation

Applicants must submit a Portfolio of Innovation, which may include:

• AI-related academic projects
• Research publications
• Redesigned courses incorporating AI
• Case studies or practical implementations

Step 3: Real-World Challenge

A critical component of the application is identifying a real-world challenge you intend to address during the fellowship. This challenge should be relevant to:

• Assessment and evaluation methods
• Institutional AI policy or governance
• Student learning outcomes

Step 4: Formal Endorsement

Applicants must include a formal endorsement from a:

• Dean
• Program Chair The letter should:
• Support your participation in the fellowship
• Highlight your leadership potential
• Confirm institutional backing for your proposed work