Pegah Khosravi
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PhD Opportunities in Computer Science and AI for Precision Medicine at University of Central Florida University of Central Florida in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Jul 1, 2026
Country
United States
University
University of Central Florida

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Keywords
About this position
PhD opportunities are available in Computer Science at the University of Central Florida for Fall 2026 in the AI MIND Lab led by Pegah Khosravi (Associate Professor, UCF Institute for Artificial Intelligence).
The lab focuses on AI for precision medicine and medical AI, with research directions including multimodal foundation models, vision-language models, longitudinal medical AI, clinical AI reasoning, AI agents for healthcare, and medical image analysis. The accompanying project graphic highlights kidney-focused multimodal AI themes such as imaging, pathology, genomics, clinical data integration, federated learning, and AI-assisted oncology and surgery.
This call is for two exceptional PhD students. Competitive applicants should already hold a Master's degree in Computer Science, be eligible to apply as a domestic PhD applicant for Fall 2026, and have a strong research profile with first-author publications in top AI / ML / vision / medical AI venues. Strong hands-on experience building and training deep learning models, preferably in PyTorch, is expected.
The position is described as research-intensive and fast-paced, with ambitious milestones and a need for independent contribution. Applicants are asked to submit an official UCF PhD application and list Dr. Pegah Khosravi as the intended faculty advisor. The post notes that individual emails about fit or eligibility will not be answered and that graduate admission requirements are set by the university and cannot be waived by the faculty member.
Deadline: July 1, 2026 for domestic applicants.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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