Fakrul Islam Tushar
1 week ago
Fully Funded PhD Positions in Medical Imaging AI, Electrical & Computer Engineering, University of Arizona University of Arizona in United States
Degree Level
PhD
Field of study
Computer Science
Funding
1–2 fully funded PhD students are being recruited. The post states full PhD funding with close, hands-on research mentorship.
Deadline
Dec 1, 2026
Country
United States
University
University of Arizona

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About this position
Fully funded PhD positions in Medical Imaging AI at the University of Arizona
Tushar Lab at the University of Arizona is recruiting 1–2 fully funded PhD students to start in Fall 2027. The students will pursue a PhD in Electrical & Computer Engineering through the School of Electrical, Computing, and Software Engineering (ECSE), with close collaboration with the Department of Radiology and Imaging Sciences.
Research areas include trustworthy medical AI, evaluation and reproducibility of medical imaging AI and foundation models, virtual imaging trials, digital twins, generative CT synthesis, simulation-based AI evaluation, cancer screening, personalized medicine, multimodal AI, vision-language models, and AI agents for radiology workflows.
Ideal applicants come from Computer Science, Electrical & Computer Engineering, Biomedical Engineering, Physics, Applied Mathematics, or related fields. Strong machine learning and deep learning foundations, strong programming skills, and interest in rigorous, reproducible research are emphasized.
Funding is fully covered for the PhD positions, with hands-on mentorship and an interdisciplinary, open-science environment.
How to apply: complete the Tushar Lab interest form and also apply to the official ECSE PhD program at the University of Arizona. The priority deadline mentioned is December 1, 2026. Applicants should mention interest in Tushar Lab in their Statement of Purpose.
Contact: [email protected]
Funding details
1–2 fully funded PhD students are being recruited. The post states full PhD funding with close, hands-on research mentorship.
What's required
Applicants should have a background in Computer Science, Electrical & Computer Engineering, Biomedical Engineering, Physics, Applied Mathematics, or a related field. Strong foundations in machine learning and deep learning are expected, along with strong programming skills and comfort working with AI coding agents. The post also looks for curiosity, independent thinking, and a commitment to rigorous, reproducible research.
How to apply
Complete the Tushar Lab interest form, then submit the official University of Arizona ECSE PhD application by the December 1, 2026 priority deadline. Mention your interest in Tushar Lab in your Statement of Purpose.
More information can be found here
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