Important Info
Interested applicants should submit the required application materials to Adam Wang, PhD: adamwang@stanford.edu
A position for highly motivated postdoctoral fellows is available immediately in the areas of Artificial Intelligence and Photon Counting CT. The lab's interests revolve around the following areas:
• Applications of artificial intelligence / machine learning / deep learning to x-ray/CT imaging
• Photon counting CT and spectral / dual energy imaging
• 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 (zeegolab.stanford.edu), 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 (med.stanford.edu/wanggroup.html) is in the Radiological Sciences Laboratory (rsl.stanford.edu) in the Department of Radiology. The successful applicant will work in close collaboration within a team of researchers from Stanford Radiology and other departments.
- 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
- CV
- Brief introduction