Deadline: January 23, 2026
The Johns Hopkins University DSAI Postdoctoral Fellowship 2026–2027 offers a unique opportunity for outstanding early-career researchers to engage in cutting-edge research in data science and artificial intelligence (AI). This prestigious fellowship is designed for scholars who have recently earned their PhD and are passionate about advancing innovative methods and applications of data science and AI across multiple disciplines, including health, medicine, science, engineering, policy, humanities, and governance.
About the Fellowship
The Johns Hopkins University DSAI Postdoctoral Fellowship 2026–2027 is hosted by the Johns Hopkins University Data Science and AI Institute (DSAI). The program aims to foster a new generation of interdisciplinary researchers capable of driving transformative discoveries through data and AI.
Fellows will have the opportunity to:
- Join a growing interdisciplinary cohort of DSAI researchers.
- Collaborate closely with faculty and researchers across Johns Hopkins University campuses and divisions — including Homewood, East Baltimore Health & Medicine, the Applied Physics Laboratory, and the Washington, D.C. campus.
- Contribute meaningfully to the Institute’s research, educational, policy, and outreach missions.
Key Dates
- Application Deadline: January 23, 2026
(Applications will be considered until all positions are filled.)
Fellowship Focus Areas
The program supports research that advances both foundational methods and applications in:
- Data Science
- Artificial Intelligence
- Computational Science
- Policy and Governance
- Health, Medicine, and Ethics
- Humanities and Social Impact
Fellows will engage in projects that align with the Institute’s commitment to responsible, impactful AI and data-driven innovation.
Eligibility Criteria
To be considered for this competitive fellowship, applicants must meet the following requirements:
- Hold a PhD in a relevant discipline such as computer science, statistics, engineering, mathematics, social sciences, policy, or medicine.
- Be prepared to engage in a two-year full-time research fellowship, with potential extension based on performance and funding.
- Demonstrate a strong interest in interdisciplinary collaboration and AI-driven discovery.
Fellowship Benefits
Selected fellows will receive a comprehensive package designed to support their academic growth and research excellence:
- Competitive salary
- Academic travel stipend
- Mentorship from DSAI-affiliated faculty and leading researchers
- Access to advanced computing resources
- Opportunities to participate in center-supported educational and collaborative initiatives
This fellowship provides an outstanding environment for early-career researchers to develop independence while contributing to large-scale, high-impact projects.
Application Requirements
Applicants are required to submit the following documents:
- Curriculum Vitae (CV) – including educational background and research experience.
- Research Statement – 1–2 pages describing research interests, achievements, and goals.
- Cover Letter – indicating 2–3 potential DSAI faculty mentors whose work aligns with the applicant’s research interests.
- 2–3 Reference Letters – from academic or professional referees familiar with the applicant’s research capabilities.
All materials must be submitted through the official online application system.
Program Duration
The Johns Hopkins University DSAI Postdoctoral Fellowship 2026–2027 is a two-year program with the possibility of renewal, subject to satisfactory performance and continued funding availability.
Why Apply?
This fellowship offers a rare chance to join one of the world’s leading research institutions and to contribute to breakthroughs that will shape the future of artificial intelligence and data science. The program not only provides funding and resources but also offers access to a vibrant community of innovators dedicated to tackling global challenges through data and AI.
How to Apply
Interested candidates can apply through the official application portal or learn more about the program using the links below:
👉 Read More About the Programme
Contact us for proposal drafting, refining, and review.
