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Submit your Research - Make it Global News🌟 Unveiling the Ruwwad AI Scholars Fellowship
The Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), the world's first dedicated graduate research university focused on artificial intelligence, has announced the launch of the Ruwwad AI Scholars (RAIS) Postdoctoral Fellowship. This initiative, revealed on February 27, 2026, marks a significant step in nurturing homegrown talent to lead the United Arab Emirates' (UAE) ambitious AI landscape. Named 'Ruwwad,' meaning 'pioneers' in Arabic, and acronymically echoing 'Ra’is' or 'leader,' the program targets exceptional Emirati Ph.D. graduates, offering them two-year fully funded postdoctoral positions at top global research institutions.
MBZUAI's Vice Provost of Faculty Excellence and Advancement, Thamar Solorio, emphasized the program's transformative potential: "RAIS is more than a fellowship – it is a national investment in the scholars who will define the UAE’s research identity for decades to come." This pilot program aligns with the UAE's National Artificial Intelligence Strategy 2031, which aims to position the nation as a global AI powerhouse by fostering local expertise amid a growing demand for AI professionals.
Program Overview and Objectives
The Ruwwad AI Scholars Fellowship is designed to bridge the gap between advanced doctoral research and faculty leadership. Participants engage in uninterrupted, high-impact research under world-leading principal investigators (PIs) at prestigious institutions worldwide. The fellowship welcomes scholars from diverse disciplines, including core artificial intelligence and machine learning, physical and natural sciences, biological and life sciences, engineering, applied sciences, and social sciences. No prior AI specialization is required; instead, it encourages innovative intersections of expertise with computational methods.
Key objectives include amplifying research productivity, providing dual mentorship—from host PIs for technical guidance and MBZUAI's team for career development—and preparing fellows for tenure-track positions at MBZUAI or peer UAE institutions. By investing in Emiratis, the program supports Emiratization efforts in higher education, ensuring a sustainable pipeline of national AI leaders. This is particularly vital as MBZUAI plans to expand its faculty from around 116 to over 300 by 2030, amid UAE's broader goal to develop a robust AI talent ecosystem.
Eligibility Criteria for Emirati Ph.D. Graduates
To qualify for the Ruwwad AI Scholars Fellowship, candidates must be UAE nationals who have completed their Ph.D. between Spring 2024 and Spring 2026. The program is open to graduates from any institution, whether UAE-based or international, as long as they demonstrate a strong foundation in computational or quantitative methods and a vision for AI integration in their field. Examples include economics, computational biology, data science, statistics, epidemiology, and global health.
- UAE citizenship (mandatory).
- Recent Ph.D. completion (2024–2026).
- Research independence and technical prowess evidenced in doctoral work.
- Alignment with MBZUAI's priorities, such as next-generation algorithms or AI-informed policy.
This inclusive approach democratizes access, allowing scholars from AI-adjacent fields to pivot toward computational innovation without prerequisite expertise.
Generous Benefits and Support Package
Fellows receive comprehensive financial and professional support, ensuring focus on research without external pressures. The package includes a competitive monthly stipend, pension matching, family allowances, relocation assistance, health insurance, research funds, and conference travel reimbursements. Host institutions bear no costs, as MBZUAI fully funds the positions.
| Benefit | Description |
|---|---|
| Stipend & Pension | Competitive salary with matching contributions |
| Family & Relocation | Support for dependents and moving expenses |
| Research Funds | Dedicated budget for projects and equipment |
| Travel & Insurance | Conferences, health coverage |
This holistic support enables fellows to bring families, fostering long-term commitment to UAE academia upon return.
Learn more on the official MBZUAI pageStep-by-Step Application Process
Applications are submitted via Interfolio, requiring a confirmed commitment from a host PI at submission. Those needing assistance can email RAIS@mbzuai.ac.ae for outreach support. Required documents include:
- Curriculum vitae (PDF).
- 3–5 page research statement outlining proposed work.
- 1–2 page personal statement (500–1,000 words).
- Host PI support letter.
- Transcripts.
- Two recommendation letters.
Timeline: Portal opens January 28, 2026; virtual info sessions March 9 and 26; priority review by April 15; offers in May; start Fall 2026. Rolling reviews prioritize early applicants.
Pro tip: Secure a host PI early by networking at conferences or via MBZUAI faculty connections. Tailor your research statement to demonstrate independence and UAE impact.
MBZUAI's Growth and UAE AI Landscape
Since its founding in 2021, MBZUAI has rapidly expanded, boasting 116 faculty from top global institutions and over 700 students from 59 nationalities. Ranked 10th worldwide in AI by CSRankings, it offers specialized programs in computer vision, NLP, robotics, and more. The Ruwwad fellowship complements this by building Emirati faculty, addressing the 80% international student/faculty ratio and supporting Emiratization.
In the UAE, AI adoption surges—80% of organizations prioritize it, yet talent shortages persist in data science and related fields. Programs like this pipeline Emiratis into leadership roles, aligning with visions like the UAE AI Council and Strategy 2031.
Tackling the AI Faculty Shortage in UAE Higher Education
UAE universities face acute shortages in AI expertise, with demand outpacing supply. Reports highlight data science as a top-10 skill gap, exacerbated by global competition for talent. MBZUAI's strategy—hiring 225 more faculty soon—relies on initiatives like RAIS to localize expertise. Successful fellows return equipped for tenure-track roles, reducing reliance on expatriates and boosting research sovereignty.
Real-world impact: Fellows could advance UAE priorities in healthcare AI, sustainable energy, and smart cities, contributing to GDP growth projected at 14% from AI by 2030.
Browse faculty openings in UAE higher edCareer Pathways Post-Fellowship
Completion significantly enhances prospects for faculty positions at MBZUAI, Khalifa University, or NYU Abu Dhabi. Quarterly development plans and MBZUAI check-ins ensure alignment with UAE needs. Alumni networks provide lifelong support, positioning pioneers as department heads or AI policy advisors.
For aspiring applicants, building a strong publication record and interdisciplinary projects is key. Consider crafting a standout academic CV to impress host PIs.
Stakeholder Perspectives and Future Outlook
While reactions to the launch are emerging, experts praise MBZUAI's talent strategy. Prof. Eric Xing, MBZUAI President, has highlighted global recruitment alongside local development. Industry leaders from ADNOC and Mubadala anticipate collaborations with returning fellows.
Looking ahead, RAIS could scale, integrating with UAE's 8 exaflop supercomputer initiatives and AI for global south projects. This fosters a virtuous cycle: more Emirati faculty attracts top students, elevating UAE as the 'Stanford of the Gulf.'
Actionable Insights for Prospective Fellows
To succeed:
- Identify host PIs via Google Scholar or conferences.
- Craft statements showing AI vision and independence.
- Leverage MBZUAI networks for endorsements.
- Prepare family relocation logistics early.
Emiratis eyeing AI careers should view RAIS as a golden gateway. Pair with postdoc success tips.
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