PhD in Computational Imaging at University of North Carolina at Charlotte
Listed on 2026-03-08
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Engineering
Research Scientist, Computer Science, Artificial Intelligence -
Research/Development
Research Scientist, Artificial Intelligence, Data Scientist
Position Summary
Fully funded PhD position starting in Fall 2026 in the Biomechanical Imaging and Computation Lab at the University of North Carolina at Charlotte (UNC Charlotte). This opportunity is ideal for innovative thinkers interested in computational imaging, artificial intelligence, and biomedical engineering.
Institution & FieldUniversity: University of North Carolina at Charlotte
Country: USA
Fields: Electrical Engineering, Computer Engineering, Biomedical Engineering, Applied Physics, Medical Imaging
Deadline: Not specified
About the UniversityUNC Charlotte is a prominent public research university known for interdisciplinary collaboration and innovation in science and engineering. Its Department of Electrical and Computer Engineering is recognized for cutting‑edge research and strong industry connections.
Research FocusThe primary focus is computational imaging for medical modalities such as optical coherence tomography (OCT), ultrasound, and MRI. The work integrates medical image reconstruction, artificial intelligence (AI), and physics‑informed neural networks to advance non‑invasive diagnostic technologies.
Project DetailsThe selected PhD student will join the Biomechanical Imaging and Computation Lab, which specializes in signals and systems, optimization, scientific computing, machine learning, and numerical modeling to solve complex imaging problems. The lab is led by Dr. Mohammed.
Candidate ProfileThe ideal applicant should demonstrate a strong background in at least two of the following areas:
- Signals & systems / linear systems
- Optimization & inverse problems
- Scientific computing (Python / MATLAB)
- Machine learning / deep learning (prefer experience with PyTorch)
- Medical imaging (OCT, MRI, ultrasound)
- Numerical modeling (finite elements, PDE-based modeling)
Applicants should have a genuine interest in interdisciplinary research, a collaborative mindset, and a drive to develop innovative computational imaging solutions.
Application ProcessFor application details, refer to the official advertisement. The position was advertised by Dr. Mohammed on Linked In. For more information and updates, visit the Linked In post:
ConclusionThis fully funded PhD position offers an exceptional opportunity to engage in high‑impact research at the intersection of computational imaging, AI, and biomedical engineering. If you are eager to contribute to scientific advancements with real‑world healthcare applications, we encourage you to apply.
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