FDA Artificial Intelligence and Machine Learning Fellowship

How to Apply

To submit your application, scroll to the bottom of this opportunity and click APPLY.

• An application
• Transcripts –  for detailed information about acceptable transcripts
• A current resume/CV, including academic history, employment history, relevant experiences, and publication list
• One educational or professional recommendation

All documents must be in English or include an official English translation.

If you have questions, send an email to ORISE.FDA.CDRH including the reference code for this opportunity in your email.

U.S. Food and Drug Administration (FDA)

FDA-CDRH-

3/31/2026 3:00:00 PM Eastern Time Zone

• Applications will be reviewed on a rolling‑basis.

Up to 14 research fellowships are available with the Food and Drug Administration (FDA), Center for Devices and Radiological Health (CDRH) located in White Oak, Maryland.

The Artificial Intelligence Regulatory Science Program conducts regulatory science research ensuring safe and effective AI/ML‑enabled medical devices across rapidly expanding healthcare applications including image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including the unique nature of clinical medical data with low disease prevalence and difficulty obtaining ground truth data.

Major regulatory science gaps include lack of methods for AI algorithm training with limited data, bias analysis and minimization, performance metrics and uncertainty quantification, evaluation of continuously learning algorithms, and post‑market monitoring.

• Gain comprehensive understanding of regulatory science approaches for AI/ML‑enabled medical devices, including performance assessment methodologies and uncertainty quantification methods.
• Acquire specialized skills in addressing critical data challenges in medical AI, including methods for training algorithms with limited datasets, synthetic data evaluation, and approaches to minimize algorithmic bias.
• Develop expertise in evaluating AI devices that can adapt and learn post‑deployment, including understanding evolving algorithms and creating methodologies to assess algorithm performance changes over time.

The mentor(s) for this opportunity are Ravi Samala (ravi.samala.gov) and Aldo Badano (aldo.badano.gov). If you have questions about the nature of the research, please contact the mentor(s).

Spring 2026. Start date is flexible and will depend on a variety of factors.

The appointment will initially be for one year, but may be renewed upon recommendation of FDA and is contingent on the availability of funds.

The appointment is full time.

The participant will receive a monthly stipend commensurate with educational level and experience.

This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non‑U.S. citizen applicants should refer to the Guidelines for Non‑U.S. Citizens Details page of the program for information about the valid immigration statuses that are acceptable for program participation.

Proof of health insurance is required for participation in this program. Participants do not become employees of FDA, DOE or the program administrator, and there are no employment‑related benefits.

Completion of a successful background investigation by the Office of Personnel Management is required for an applicant to be on‑boarded  can complete a background investigation only for individuals, including non‑US Citizens, who have resided in the US for a total of three of the past five years.

If an ORISE Fellow, to include their spouse and minor children, reports what is identified as a Significantly Regulated Organization (SRO) or prohibited investment fund financial interest in any amount, or a relationship with an SRO, except for spousal employment with an SRO, and the individual will…