A Postdoctoral Fellow position is immediately available to lead an NIH-funded collaborative project on real-time 3D ultrasound microbubble imaging with matrix-array transducer technology. Research focus is on analysis and quantification of 3D contrast-enhanced images derived from dynamic acquisitions and associations of imaging indices to clinical endpoints. The developed methods and techniques will be applied to data from ongoing, first in-human trial, as well as data from translation imaging experiment with molecularly targeted microbubbles. The successful applicant will work in close collaboration within a team of researchers from Stanford Radiology and Stanford Radiation Oncology.
Candidates with a doctoral degree in Radiological Sciences, Medical Imaging, Medical Physics, Physics, Computer Science, Electrical or Biomedical Engineering are welcome to apply. Strong mathematical and computational skills and demonstrated expertise in mathematical modeling of parametric image maps and/or ultrasound imaging is a must. Expertise in computer programming for image processing and manipulation (Bash, Python, C/C++/C# and Matlab) is necessary. A strong understanding of ultrasound physics, engineering and sources of errors are major assets. Additionally, the candidate should have good communication skills and a collaborative spirit.
Stanford University is an equal opportunity employer and is committed to increasing the diversity of its community. It welcomes applications from women and members of minority groups, as well as others who would bring additional dimensions to the university’s research, teaching and clinical missions.
The appointment is for one year with possibility of extension. Applications are invited from all qualified candidates for this position. Please submit a curriculum vitae, statement of work, along with the contact information for three referees to: