The Transfyr AI Fellowship is a one-year, full-time paid research opportunity for graduate students, recent PhDs, and postdoctoral researchers. Applications are reviewed on a rolling basis, but you should apply by August 15, 2026, for full consideration.
The program focuses on multimodal AI for scientific execution. Fellows are expected to lead focused research projects with access to mentorship, compute resources, and Transfyr datasets.
Key Details:
Application Deadline: Apply by August 15, 2026, for full consideration; rolling review (applications reviewed as they arrive)
Eligible Countries: Worldwide
Program Duration: Full-time for 12 months; start around September 2026
Program Location: Boston/Cambridge full-time; remote by exception
Funding/Benefits: $125K + benefits + compute / other resources
Award Provider: Transfyr
About this Program
The fellowship supports researchers who want to work on multimodal AI for scientific execution in physical environments. Fellows will define a research question and lead a focused project over 12 months.
In addition, selected fellows will work closely with scientists, operators, and machine learning researchers. The program is expected to start around September 2026.
Eligibility Criteria
- Current graduate students can take leave
- Recent PhDs
- Postdoctoral researchers
- Applicants from machine learning, computer science, computational biology, robotics, HCI, statistics, or adjacent fields
- Ability to commit full-time for 12 months and start around September 2026
- Selected fellows are expected to be based in Boston/Cambridge full-time; remote participation is by exception
- International applicants are welcome; visa support is available for selected fellows
What Fellows Receive: $125,000 annual compensation, benefits (unspecified), access to compute, GPUs, data, and project support; direct mentorship from Transfyr founders, technical team, and advisors; opportunity to work with Transfyr datasets and implement solutions into real-world contexts; visa support for selected fellows; and publication support, subject to confidentiality and IP review
Program Components
Define a research question and lead a focused research project.
Build prototypes and analyze real multimodal scientific-execution data.
Design and pressure-test evaluation ideas and benchmarks.
Produce a publishable or demo-grade research artifact.
Work closely with scientists, operators, and ML researchers; potentially implement solutions into real-world contexts/products.
How to Apply
Applicants should complete the online application form and submit the required materials. First, prepare a 1-page application describing your proposed work and resource needs. Then include links to relevant work such as papers, code, or demos. References are requested from finalists.
Before applying, review the program expectations, location requirements, and timeline carefully on the official page.
👉 Visit the official fellowship page for details
