Post Doctoral Associate

Dr. Shao’s lab within the Intelligent Critical Care Center (IC3) in the Department of Medicine at the University of Florida is seeking a highly creative and motivated postdoctoral researcher in the areas of deep learning and medical image analysis. The candidate will be responsible for developing machine learning methods to solve challenging problems in medical image analysis, including (1) multi-modal image registration, (2) 2D and 3D image segmentation, and (3) image-based disease diagnosis and prognosis. The project has the potential for very productive findings in terms of publications and innovative clinical implications. The successful candidates will work with a multidisciplinary team consisting of imaging scientists, radiologists, pathologists, urologists, and surgeons at the University of Florida, UCLA, and UCSC.

University Overview: The University of Florida is a top-ranked public research university located in Gainesville, Florida. According to the 2022-2023 U.S. News and World Report, the University of Florida tied for 29th best overall among national universities and tied for 5th overall for any public university in the United States. Recently, the University of Florida launched a $1 billion initiative to establish itself as one of the country’s most preeminent institutions of higher education in artificial intelligence. In 2021, the University of Florida announced a $70 million artificial intelligence partnership with NVIDIA, the partnership will be central to University of Florida’s vision to be a national leader in the application of AI, including an expansive plan to elevate its reach and impact in research, teaching, and economic development.

• A PhD degree in Electrical Engineering, Computer Science, Biomedical Engineering, Bioinformatics, or related fields.
• Research experience in deep learning and image processing.
• Familiar with PyTorch or Tensorflow.
• One first-author publication in renowned conferences or journals in the field.
• Strong communication skills and the ability to work independently.

• Experience with medical imaging data, e.g., MRI, ultrasound, CT, X-ray, ultrasound, histopathology.
• Experience with ITK and SimpleITK.
• Experience with 3D Slicer.
• Candidates with experience in medical image registration are strongly encouraged to apply.

In order to be considered, you must upload your cover letter (describing your past research experience, career goals, and future research interests), resume, and the names and contact information of three professional references.