We are seeking a highly motivated postdoctoral researcher in the field of biomedical engineering, computer science, computer vision, computational medical image analysis or a related field to join the laboratory of Donald Robinson Cantrell, M.D., Ph.D. Dr. Cantrell is a clinical Interventional Neuroradiologist at Northwestern Memorial and Lurie Childrens Hospital. The Cantrell research lab operates within the Radiology Department, Northwestern University Feinberg School of Medicine in Chicago, IL, USA, and develops novel computer vision techniques with deep learning that provide real-time assistance during imaging-guided interventional procedures. Currently, the lab primarily focuses on (1) the optimization of X-ray angiographic images using deep learning, and (2) algorithms for interventional trajectory planning and real-time image-guided decision support. The fellow will develop state-of-the-art advanced AI computer vision algorithms for a broad range of modalities, including X-ray fluoroscopy, CT/CTA, MRI/MRA, and CT/MR Perfusion Weight Imaging. The applicant will develop an expertise in Tensorflow, Convolutional Neural Networks, DICOM interfaces, Parallel/Concurrent programming, and Real-Time optimization of computer vision algorithms. The successful applicant will join a vibrant world-class research environment blending clinical studies with active interdisciplinary translational research to solve critical problems in image-guided minimally-invasive intervention. The Cantrell lab works in close collaboration with multiple world-class clinicians and Ph.D. imaging scientists in the Northwestern Department of Radiology and the Institute for Artificial Intelligence in Medicine. Responsibilities:
The postdoc fellow responsibilities include but are not limited to:
- Conducting cutting-edge interventional biomedical imaging research.
- Developing and implementing novel AI computer vision algorithms that enhance interventional imaging and offer real-time image-based decision support.
Disseminating results as publications in high-impact journals and presentations at top international conferences. Requirements:
- Ph.D. in Biomedical Engineering, Computer Science, Medical Imaging and Image Analysis, Physics, Mechanical Engineering, or related fields.
- At least 2-years of experience of quantitative and computational Medical Image Analysis.
- Strong Programming skills (Python, C/C++, Comfortable with Object Oriented Programming Concepts, etc.).
- Track record of publications in top-tier journals and conferences.
- Efficient English communication skills.
- Experience in Deep Learning with Tensorflow or PyTorch.
- Familiarity with Software/Project Management tools (Git, Docker/Singularity Containers, Linux Command Line)
- Experience with algorithms for Image Segmentation, Registration, and Transformation
- Prior exposure to inter-modality data fusion
- Familiarity with parallel/concurrent programming techniques
The Radiology research group at Northwestern University is multidisciplinary, including computer scientists, engineers, and diagnostic and interventional radiologists. Additional expertise spans the fields of informatics, biostatistics, cardiology, neuroradiology, and cardiac surgery, among others. Further, Northwestern Memorial Hospital and Lurie Children's Hospital foster close research collaborations with Siemens and Visage to provide a unique opportunity to translate novel imaging techniques into clinical applications.
Northwestern University is an Equal Opportunity, Affirmative Action Employer of all protected classes, including veterans and individuals with disabilities. Women, racial and ethnic minorities, individuals with disabilities, and veterans are encouraged to apply. Hiring is contingent upon eligibility to work in the United States. To apply:
please email a CV and a one-page cover letter (please use the position title above as the email subject) to:
Donald R Cantrell, M.D., Ph.D.
Assistant Professor of Radiology
Northwestern University, Feinberg School of Medicine
737 N. Michigan Avenue Suite 1600
Chicago Illinois 60611