A position for highly motivated postdoctoral fellows is available immediately in the areas of Photon Counting CT and Artificial Intelligence in the Wang Lab for Advanced X-ray and CT Imaging. The lab's interests revolve around the following areas:
- Applications of artificial intelligence / machine learning / deep learning to x-ray/CT imaging
- Dual energy / spectral imaging, including photon counting CT
- Novel systems and methods for x-ray and CT imaging Lab resources include:
- Photon Counting CT Lab, a prototype whole-body deep-silicon PCCT scanner with high spatial and spectral resolution, dedicated to human subjects research and technical research projects
- Zeego Lab, a robotic C-arm that supports interventional imaging, animal studies, and more
- Tabletop Cone-Beam CT Lab, for prototyping novel systems, custom geometries, and phantom experiments
- Access to clinical systems, large-scale computational resources, 3D printing, machine shop, and more The Wang lab is in the Radiological Sciences Laboratory in the Department of Radiology. The successful applicant will work in close collaboration within a team of researchers from Stanford Radiology and other departments. This position will remain open until filled and is available for a minimum of 1 year, with the possibility of extension. The expected base pay range for this position is $71,650 - $76,000. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity. Benefits and other information for postdoctoral fellows can be found here: . Requirements:
- PhD in Electrical or Biomedical Engineering, Computer Science, Medical Physics, or similar
- Strong mathematical and computational skills, with demonstrated expertise in medical imaging
- Strong understanding of x-ray CT physics, reconstruction, and experimentation
- Proficient in image processing, manipulation, and analysis tools (Python and/or Matlab)
- Track record of productive research and publications
- Collaborative team spirit; strong interpersonal, communication, and writing skills; attention to detail
- Demonstrated ability to work independently, be self-motivated, and an eagerness to learn #J-18808-Ljbffr