Prospective Collaborators: We will be happy to discuss any new potential research opportunities with you in the areas of AI/ML, biomedical imaging, computer vision, and several other areas of our mutual interest. 

Prospective Graduate Student: 

We are looking for one talented and motivated PhD student to join our team in SPRING 2026 to perform exciting research in the area of AI/ML for biomedical imaging.

Ideal candidates should have a solid background in biomedical imaging, image processing and analysis, and deep learning implementation with CNN and transformer models. We are particularly interested in candidates who have strong programming skills with Tensorflow, Pytorch, Caffe, or other similar frameworks for deep learning implementation. Strong proficiency in Python, MATLAB, and other similar programming languages is required. Some experience with image segmentation and classification will be a plus. 

If you have an undergraduate (or master's) degree in computer engineering/science, electrical engineering, bioengineering/biomedical engineering, or a related field and are interested in contributing to this exciting,  high-impact, interdisciplinary project, please feel free to contact me [skgaire [at] ncat [dot] edu] to discuss this opportunity.  Please include CV, cover letter, transcript, a sample paper (if you have any), GRE, and IELTS/TOEFL scores in your email. 

Additional criteria:

• Undergraduate GPA: 3.5+ 

• GRE, IELTS/TOEFL, and English translation and course-by-course evaluation of transcripts are required for international applicants (mandatory). 

Please check the program and university-specific requirements (links below) before making an inquiry: 

• NCAT graduate admission page

• Electrical engineering admission requirement page

• Electrical engineering graduate program page

Additionally, we always look for talented and motivated graduate students in the area of  AI/ML with a wide range of applications, including computer vision, biomedical imaging, and any other related areas. If you have a strong interest, motivation, and background in contributing to these areas, please feel free to contact me to discuss the research opportunity. 

Prospective Undergrad Student: Please reach out to me to discuss any potential projects.