Postdoctoral Associate

Postdoctoral Associate

Organization: University of Florida

Location: Gainesville, Florida, USA

Title: Postdoctoral Associate in Deep Learning and Medical Image Analysis

About the Mentor: Dr. Shao obtained his PhD degree in Electrical and Computer Engineering from the University of Iowa in 2019, under the supervision of Dr. Gary E. Christensen (IEEE Fellow, AIMBE Fellow). From 2019 to 2022, Dr. Shao worked as a postdoctoral researcher at Stanford University, USA, in the research group led by Dr. Mirabela Rusu. Dr. Shao's research mainly focuses on developing machine learning and deep learning methods for medical image analysis. His research findings have been published in top-tier journals and conferences, e.g., IEEE TMI, MedIA, MICCAI, and CVPR.

Job Description: Dr. Shao’s lab 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 deep learning methods to solve challenging problems in medical image analysis, for example, image registration, image segmentation, image denoising, image super-resolution, image reconstruction, cancer detection, and image-to-image translation. The successful candidate will have exclusive access to at least 10 NVIDIA A100 GPUs and will work closely with a multidisciplinary team consists of computer 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 2023-2024 U.S. News and World Report, the University of Florida tied for 28th best overall among national universities. 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.

Required Qualifications:
• 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.
• At least one first-author publication in top-tier conferences or journals in the field.
• Strong communication skills and the ability to work independently.

Desired Skills:

• Experience with medical imaging data, e.g., MRI, CT, and ultrasound.
• Experience with SimpleITK.
• Candidates with experience in variational diffusion models are strongly encouraged to apply.

Please attach curriculum vitae, a cover letter describing your past research experience, career goals, and future research interests, and also contact information of three references.

Final candidate will be required to provide official transcript to the hiring department upon hire. A transcript will not be considered "official" if a designation of "Issued to Student" is visible. Degrees earned from an education institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by the National Association of Credential Evaluation Services (NACES), which can be found at http://www.naces.org/ .

The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.

Application must be submitted by 11:55 p.m. (ET) of the posting end date.