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PhD in Computational Imaging at University of North Carolina at Charlotte

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: PhDFinder
Full Time position
Listed on 2026-03-08
Job specializations:
  • Engineering
    Research Scientist, Computer Science, Artificial Intelligence
  • Research/Development
    Research Scientist, Artificial Intelligence, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: USA – Fully Funded PhD in Computational Imaging at University of North Carolina at Charlotte

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 & Field

University: University of North Carolina at Charlotte

Country: USA

Fields: Electrical Engineering, Computer Engineering, Biomedical Engineering, Applied Physics, Medical Imaging

Deadline: Not specified

About the University

UNC 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 Focus

The 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 Details

The 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 Profile

The 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 Process

For 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:

Conclusion

This 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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