The Schmidt Science Fellows program is now accepting applications for its 2027 cohort, offering an exceptional postdoctoral opportunity for PhD students interested in AI for Science, including Computational Physics, Mechanics, and Medicine. The fellowship is designed to support major interdisciplinary pivots in postdoctoral research, providing a unique platform for collaboration across scientific disciplines and fostering scientific leadership.

Applicants must be enrolled at a Schmidt nominating partner institution and expect to complete their PhD between May 1, 2026 and July 30, 2027. Nomination by the PhD awarding institution is required, and each institution selects a small number of exceptional candidates through its own internal process. Once nominated, candidates must submit a comprehensive application, including academic history, transcripts, CV, publications, recommendation letters, a personal statement, a description of their PhD research, and a proposal for future research plans. The application process involves academic review and, for finalists, an online interview with senior figures from academia, business, and society.

The fellowship provides a generous stipend of US$110,000 per year for up to two years, supporting postdoctoral research worldwide. Successful fellows will work with the program team to identify and finalize their postdoctoral placement, with the possibility of joining research groups such as CoMSAIL at Cornell University under the supervision of Associate Professor Jian-Xun Wang. The program is particularly interested in candidates excited about leveraging AI for advances in computational science and medicine.

Key research areas include AI for Science, Computational Physics, Computational Mechanics, and Computational Medicine. The fellowship encourages interdisciplinary approaches and aims to accelerate the scientific impact of its fellows. The application window for the 2027 cohort opens on May 19, 2026, with a full application deadline of July 13, 2026. For more information, applicants can visit the official program website or contact [email protected]. Interested candidates are also encouraged to reach out to Prof. Jian-Xun Wang at Cornell University to discuss potential fit and hosting opportunities.