Shape the Future of Healthcare: Fully Funded Fellowship in Digital Health and AI

Aspiring leaders in global health innovation have a unique opportunity to contribute to the rapidly evolving fields of digital health and artificial intelligence (AI). The Center for Global Digital Health Innovation is offering a fully funded 8-month fellowship designed to provide hands-on research experience, mentorship from expert faculty, and financial support to students passionate about transforming healthcare delivery worldwide.

Key Takeaways

14 fully funded fellowships available.
Each fellow receives $1,000 in financial support.
Program duration is approximately 8 months.
Focus on cutting-edge research in digital health and AI applications.
Tangible research outputs such as reviews, briefs, or reports are expected.

Fellowship Overview

The fellowship aims to bridge the gap in research on the effectiveness, scalability, and ethics of digital health and AI in healthcare. It offers a structured mentorship program where students collaborate with faculty, engage in evidence synthesis or primary data collection, and produce high-quality research deliverables. This comprehensive support allows fellows to concentrate fully on learning and innovation.

Fellowship Benefits and Structure

This program provides significant advantages for participants:

Mentorship: Tailored guidance from faculty mentors matched to individual interests.
Research Experience: Practical involvement in cutting-edge projects.
Financial Support: $1,000 per student to remove financial barriers.
Career Development: An ideal pathway for those seeking careers in health innovation, AI research, and global health systems strengthening.

Fellowship Topics and Application Details

Fellows can choose from a variety of research topics, including AI-based tools for data analysis, chatbots for infoveillance, mobile phone surveys for RMNCAH&N, evaluating AI-assisted ambient scribing models, AI-enabled approaches to improve survey data quality, digital health in humanitarian emergencies, data pipelines for structural health inequities, and AI-enabled vector surveillance.

Interested students are required to submit a Curriculum Vitae (CV) and a two-page proposal by Friday, September 12, 2025. The proposal should demonstrate an understanding of the chosen topic, identify key issues, and outline a proposed approach and expected outputs. While LLMs can be used as tools for idea structuring, all final submissions must reflect independent thinking and analysis. Applications are accepted via the official Google Form.