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Carnegie Mellon University
Posted Yesterday
AI4BIO Postdoctoral Fellowship in AI and Computational Biology Carnegie Mellon University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
The fellowship is a one-year appointment, renewable for one additional year following a satisfactory annual review. The advertisement does not specify a stipend, salary, tuition coverage, or other financial amount.
Deadline
Nov 15, 2026
Country
United States
University
Carnegie Mellon University
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About this position
The AI4BIO Fellows Program at Carnegie Mellon University’s Center for AI-Driven Biomedical Research offers an opportunity for an early-career researcher to develop an independent program at the intersection of artificial intelligence, machine learning, biology, and medicine.
Fellows will be based in the Ray and Stephanie Lane Computational Biology Department within CMU’s School of Computer Science and embedded in the broader AI4BIO community. Each Fellow will be jointly mentored by two CMU faculty members with complementary expertise in areas such as AI, machine learning, computational biology, robotics, human-centered AI, or systems engineering.
The research agenda is intended to bridge disciplines and extend beyond work within a single laboratory. Potential directions include AI models for genomics, molecular and cellular modeling, AI-enabled experimental design, autonomous discovery systems, trustworthy and agentic AI for science, and computational systems that connect biological experimentation with data-driven methods.
The program provides an interdisciplinary research environment spanning computer science, artificial intelligence, computational biology, robotics, engineering, and AI-enabled scientific discovery. Fellows will engage with faculty groups, students, collaborators, seminars, workshops, and community-building activities, while pursuing high-impact research, publications, collaborations, and student mentorship. They may also interact with the CMU AI Science Foundry, which advances autonomous laboratories, AI models, and data-driven experimentation.
Funding details
The fellowship is a one-year appointment, renewable for one additional year following a satisfactory annual review. The advertisement does not specify a stipend, salary, tuition coverage, or other financial amount.
What's required
Applicants must hold a Ph.D. in computer science, machine learning, computational biology, bioengineering, statistics, applied mathematics, or a related field. By the anticipated fellowship start date, applicants must have received the Ph.D. no more than two years earlier or expect to complete all degree requirements before the fellowship begins. Applicants should demonstrate exceptional research creativity, technical depth, independence, and leadership potential at the interface of AI and biology. Strong AI, machine learning, statistics, computational, biological, or biomedical backgrounds are encouraged, particularly with substantial computational expertise or a compelling plan to develop AI-driven research directions. Applications require a curriculum vitae, research statement of up to three pages excluding references, short cover letter identifying potential CMU faculty mentors and shared research interests, up to three representative publications or preprints, and three reference letters submitted directly by referees.
How to apply
Submit the application through Interfolio at the provided application link. Upload a CV, research statement, cover letter, up to three representative publications or preprints, and arrange for three confidential reference letters to be submitted directly by referees. Applicants are encouraged to contact potential CMU faculty mentors before the deadline.
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Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.