²ÝÝ®ÊÓÆµ AI Research PhD Fellowship
Program overview.
The ²ÝÝ®ÊÓÆµ AI Research PhD Fellowship supports exceptional doctoral students working at the intersection of AI and enterprise software.
Fellows receive funding, direct research collaboration with ²ÝÝ®ÊÓÆµ AI researchers, and a clear pathway into full-time roles at ²ÝÝ®ÊÓÆµ.
This fellowship is designed for PhD students who want their work to matter at scale¡ªin systems used by tens of thousands of organizations and hundreds of millions of workers worldwide.
Explore the program¡¯s benefits, research focus areas, and eligibility criteria.
$50,000 unrestricted fellowship per year for up to two years (total $100,000), provided as a gift to the student¡¯s faculty advisor to support the student; renewal for the second year is at ²ÝÝ®ÊÓÆµ¡¯s discretion.
Optional 12?week, paid summer internship at ²ÝÝ®ÊÓÆµ between the first and second fellowship years, subject to mutual interest and hiring needs; internship compensation is separate from the fellowship, and participation in the internship is not required for fellowship renewal.
Dedicated ²ÝÝ®ÊÓÆµ AI Research mentor for the duration of the fellowship
Early-access pipeline to various full-time roles at ²ÝÝ®ÊÓÆµ (e.g., AI engineers, AI scientist, and software engineers)
We welcome submissions in all areas related to ²ÝÝ®ÊÓÆµ AI. Examples include:
Ethical and Responsible AI ¡ª Fairness, governance, auditability, and explainability in AI systems operating in compliance-heavy environments (HR, Finance, legal)
Human-Agentic Workforce Co-optimization ¡ª How enterprises staff, manage, and evolve alongside AI agents; modeling mixed human-agent teams
Data Integration and Semantic Data Modeling ¡ª Making heterogeneous enterprise data AI-ready; semantic representations for structured, policy-governed domains
Business and Agentic Process Automation ¡ª Goal-driven agents that reason and execute across enterprise systems; governance frameworks for auditable, enterprise-grade agent execution
Enterprise AI Evaluation and Benchmarking ¡ª Task accuracy, regulatory compliance, and fairness benchmarks for AI systems in HCM and Finance domains
PhD students in their 3rd year or later at an accredited university at the time of grant.
Advised by a faculty member willing to co-engage with a ²ÝÝ®ÊÓÆµ AI Researcher on a shared research problem
Proposals must describe a research problem of mutual interest ¡ª we are looking for true collaboration, not consulting engagements
We will distribute this call for submission to invited faculty and universities.
Applications are evaluated on technical merit and novelty, alignment with ²ÝÝ®ÊÓÆµ's research themes, feasibility of collaboration with the ²ÝÝ®ÊÓÆµ AI Research team, and potential for publication at a top venue.
How to apply and timeline.
Submission Deadline: Email the following materials to workday-ai-research@workday.com by Aug?1,?2026.
The submission should be done by the student¡¯s PhD advisor, and each submission is tied to a pair. Therefore, it is possible for an advisor to make multiple submissions for different students.
1. 2-page max research proposal covering problem statement, methodology, expected contributions, and why a ²ÝÝ®ÊÓÆµ collaboration is the right fit
2. Student CV
3. Faculty advisor endorsement letter for the student
Decision Date: ²ÝÝ®ÊÓÆµ AI Research will make funding decisions by Aug?15,?2026.
Fellowship Start Date: The program is expected to start Sep?1,?2026