A position for highly motivated postdoctoral fellows is available immediately in the Wang lab for Advanced X-Ray and CT Imaging at Stanford University. The lab's interests revolve around the following areas:
Novel systems and methods for x-ray and CT imaging
Dual energy / spectral imaging, including photon counting detectors
Monte Carlo and Deterministic methods for x-ray imaging and radiation dose
Model-based image reconstruction
Applications of machine learning / deep learning to medical imaging
Lab resources include:
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 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.
This position will remain open until filled and is available for a minimum of 1 year, with the possibility of extension. Salary will be determined based on the experience of the candidate and the University guidelines for Postdoctoral Fellows (postdocs.stanford.edu).
Cover letter, including your research interests and career goals
Contact information for 3 references
- 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 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; and attention to detail - Demonstrated ability to work independently, be self-motivated, and an eagerness to learn