USA – Fully Funded PhD in Computational Imaging at University of North Carolina at Charlotte
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Charlotte, NC
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Not Applicable
Posted April 4, 2026
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Responsibilities
Commitments
Responsibilities
- By developing more accurate and efficient imaging methods, the research contributes directly to improving patient outcomes, reducing healthcare costs, and advancing the frontiers of personalized medicine.
- The lab specializes in developing innovative computational solutions for complex imaging problems, leveraging expertise in signals and systems, optimization, scientific computing, machine learning, and numerical modeling.
- Mohammed, whose work is recognized for its impact in computational imaging and biomedical engineering.
Commitments
Deadline: Not specified
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Requirements
- The ideal applicant should demonstrate a strong background in at least two of the following areas:
- – Signals and systems / linear systems
- – Optimization and inverse problems
- – Scientific computing (Python / MATLAB)
- – Medical imaging (OCT, MRI, ultrasound)
- – Numerical modeling (finite elements, PDE-based modeling)
- Applicants should possess a genuine interest in interdisciplinary research, a collaborative mindset, and a drive to develop innovative solutions in computational imaging.
- Experience in handling complex datasets, developing algorithms, and implementing computational models will be highly valued.
Preferred Skills
- – Scientific computing (Python / MATLAB)
- – Machine learning / deep learning (with preference for experience in PyTorch)
- – Medical imaging (OCT, MRI, ultrasound)
- – Numerical modeling (finite elements, PDE-based modeling)
- Students from electrical engineering, biomedical engineering, applied physics, or closely related disciplines are encouraged to apply.
- Experience in handling complex datasets, developing algorithms, and implementing computational models will be highly valued.
Education
- (Not required) – The ideal applicant should demonstrate a strong background in at least two of the following areas:
- (Not required) – – Signals and systems / linear systems
- (Not required) – – Optimization and inverse problems
University: University of North Carolina at Charlotte
Country: USA
Deadline: Not specified
Fields: Electrical Engineering, Computer Engineering, Biomedical Engineering, Applied Physics, Medical Imaging
Are you passionate about using advanced computational techniques and artificial intelligence to revolutionize medical imaging and healthcare diagnostics? If you are eager to develop novel methods in computational imaging and contribute to impactful interdisciplinary research, the Biomechanical Imaging and Computation Lab at the University of North Carolina at Charlotte invites you to apply for a fully funded PhD position starting in Fall 2026. This opportunity is ideal for innovative thinkers who are ready to tackle complex scientific challenges at the intersection of engineering, computation, and medicine.
About The University Or Research Institute
The University of North Carolina at Charlotte (UNC Charlotte) is a prominent public research university located in Charlotte, North Carolina, USA. As one of the fastest-growing universities in the state, UNC Charlotte is renowned for its commitment to research excellence, interdisciplinary collaboration, and fostering innovation in science and engineering. The university is situated in a dynamic urban setting, providing students with a vibrant academic environment and access to a thriving technology and healthcare sector. UNC Charlotte’s Department of Electrical and Computer Engineering is recognized for its cutting-edge research and strong industry connections, making it an ideal place for graduate students seeking both academic rigor and real-world relevance.
Research Topic and Significance
The primary research focus of this PhD opportunity lies in the field of computational imaging, with applications in medical imaging modalities such as optical coherence tomography (OCT), ultrasound, and MRI. The integration of medical image reconstruction, artificial intelligence (AI), and physics-informed neural networks aims to push the boundaries of non-invasive diagnostic technologies. This research is highly relevant in today’s scientific landscape, where advanced imaging and AI-driven analysis are revolutionizing the early detection, diagnosis, and treatment of diseases. By developing more accurate and efficient imaging methods, the research contributes directly to improving patient outcomes, reducing healthcare costs, and advancing the frontiers of personalized medicine.
Project Details
The selected PhD student will join the Biomechanical Imaging and Computation Lab, a leading research group within the Department of Electrical and Computer Engineering at UNC Charlotte. The lab specializes in developing innovative computational solutions for complex imaging problems, leveraging expertise in signals and systems, optimization, scientific computing, machine learning, and numerical modeling. The projects are interdisciplinary, attracting students from electrical engineering, biomedical engineering, applied physics, and related fields. The research group is led by Dr. Mohammed, whose work is recognized for its impact in computational imaging and biomedical engineering.
Candidate Profile
The ideal applicant should demonstrate a strong background in at least two of the following areas:
– Signals and systems / linear systems
– Optimization and inverse problems
– Scientific computing (Python / MATLAB)
– Machine learning / deep learning (with preference for experience in PyTorch)
– Medical imaging (OCT, MRI, ultrasound)
– Numerical modeling (finite elements, PDE-based modeling)
Applicants should possess a genuine interest in interdisciplinary research, a collaborative mindset, and a drive to develop innovative solutions in computational imaging. Students from electrical engineering, biomedical engineering, applied physics, or closely related disciplines are encouraged to apply. Experience in handling complex datasets, developing algorithms, and implementing computational models will be highly valued.
Application Process
If you are interested in this opportunity, please refer to the official advertisement for application details.
This position was advertised by Dr. Mohammed on LinkedIn. For more information and updates, please visit the LinkedIn post:
https://www.linkedin.com/posts/shahedmohammed_phd-computationalimaging-oct-activity-7432043222186483712-z4ri
Conclusion
This fully funded PhD position at the University of North Carolina at Charlotte offers an exceptional opportunity to engage in high-impact research at the intersection of computational imaging, artificial intelligence, and biomedical engineering. If you are eager to contribute to scientific advancements that have real-world applications in healthcare and diagnostics, we encourage you to apply and take the next step in your academic journey. Stay tuned for more such opportunities and follow this post for updates on similar positions.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!
Also See
Comprehensive Guide to Graduate Application Deadlines for US Universities (Fall 2026 Intake)
USA – Fully Funded PhD in Rail Safety at University of North Carolina at Charlotte
USA – Fully Funded PhD and Postdoc in Neural Computation at University of Illinois Urbana-Champaign
USA – PhD in Power Systems at University of South Carolina
Canada – PhD in Biomedical Engineering at University of Calgary
Country: USA
Deadline: Not specified
Fields: Electrical Engineering, Computer Engineering, Biomedical Engineering, Applied Physics, Medical Imaging
Are you passionate about using advanced computational techniques and artificial intelligence to revolutionize medical imaging and healthcare diagnostics? If you are eager to develop novel methods in computational imaging and contribute to impactful interdisciplinary research, the Biomechanical Imaging and Computation Lab at the University of North Carolina at Charlotte invites you to apply for a fully funded PhD position starting in Fall 2026. This opportunity is ideal for innovative thinkers who are ready to tackle complex scientific challenges at the intersection of engineering, computation, and medicine.
About The University Or Research Institute
The University of North Carolina at Charlotte (UNC Charlotte) is a prominent public research university located in Charlotte, North Carolina, USA. As one of the fastest-growing universities in the state, UNC Charlotte is renowned for its commitment to research excellence, interdisciplinary collaboration, and fostering innovation in science and engineering. The university is situated in a dynamic urban setting, providing students with a vibrant academic environment and access to a thriving technology and healthcare sector. UNC Charlotte’s Department of Electrical and Computer Engineering is recognized for its cutting-edge research and strong industry connections, making it an ideal place for graduate students seeking both academic rigor and real-world relevance.
Research Topic and Significance
The primary research focus of this PhD opportunity lies in the field of computational imaging, with applications in medical imaging modalities such as optical coherence tomography (OCT), ultrasound, and MRI. The integration of medical image reconstruction, artificial intelligence (AI), and physics-informed neural networks aims to push the boundaries of non-invasive diagnostic technologies. This research is highly relevant in today’s scientific landscape, where advanced imaging and AI-driven analysis are revolutionizing the early detection, diagnosis, and treatment of diseases. By developing more accurate and efficient imaging methods, the research contributes directly to improving patient outcomes, reducing healthcare costs, and advancing the frontiers of personalized medicine.
Project Details
The selected PhD student will join the Biomechanical Imaging and Computation Lab, a leading research group within the Department of Electrical and Computer Engineering at UNC Charlotte. The lab specializes in developing innovative computational solutions for complex imaging problems, leveraging expertise in signals and systems, optimization, scientific computing, machine learning, and numerical modeling. The projects are interdisciplinary, attracting students from electrical engineering, biomedical engineering, applied physics, and related fields. The research group is led by Dr. Mohammed, whose work is recognized for its impact in computational imaging and biomedical engineering.
Candidate Profile
The ideal applicant should demonstrate a strong background in at least two of the following areas:
– Signals and systems / linear systems
– Optimization and inverse problems
– Scientific computing (Python / MATLAB)
– Machine learning / deep learning (with preference for experience in PyTorch)
– Medical imaging (OCT, MRI, ultrasound)
– Numerical modeling (finite elements, PDE-based modeling)
Applicants should possess a genuine interest in interdisciplinary research, a collaborative mindset, and a drive to develop innovative solutions in computational imaging. Students from electrical engineering, biomedical engineering, applied physics, or closely related disciplines are encouraged to apply. Experience in handling complex datasets, developing algorithms, and implementing computational models will be highly valued.
Application Process
If you are interested in this opportunity, please refer to the official advertisement for application details.
This position was advertised by Dr. Mohammed on LinkedIn. For more information and updates, please visit the LinkedIn post:
https://www.linkedin.com/posts/shahedmohammed_phd-computationalimaging-oct-activity-7432043222186483712-z4ri
Conclusion
This fully funded PhD position at the University of North Carolina at Charlotte offers an exceptional opportunity to engage in high-impact research at the intersection of computational imaging, artificial intelligence, and biomedical engineering. If you are eager to contribute to scientific advancements that have real-world applications in healthcare and diagnostics, we encourage you to apply and take the next step in your academic journey. Stay tuned for more such opportunities and follow this post for updates on similar positions.
Want to calculate your PhD admission chances? Try it here:
https://phdfinder.com/phd_admission_chance_calculator/
We’re an independent team helping students find opportunities.
Found this opportunity helpful? Support us with a coffee!
Also See
Comprehensive Guide to Graduate Application Deadlines for US Universities (Fall 2026 Intake)
USA – Fully Funded PhD in Rail Safety at University of North Carolina at Charlotte
USA – Fully Funded PhD and Postdoc in Neural Computation at University of Illinois Urbana-Champaign
USA – PhD in Power Systems at University of South Carolina
Canada – PhD in Biomedical Engineering at University of Calgary