美国斯坦福大学医学院招聘医学成像分析方向的博士后

We are looking for a postdoctoral research fellow at Stanford University School of Medicine, within the Department of Radiation Oncology. My group focuses on cutting-edge research at the intersection of imaging science and biomedical informatics. We are developing quantitative imaging biomarkers for cancer prognosis and prediction of response to therapy based on PET, CT, and/or MRI. We analyze and integrate imaging data with clinical and/or molecular information, with the goal of discovering the molecular basis of cancer and transforming clinical care through translational research. There are multiple ongoing projects on several cancers, including brain, lung, head/neck, and pancreatic cancers. For more information about our research, see http://med.stanford.edu/lilab

Candidates with a Ph.D. in biomedical engineering, electrical engineering, computer science, physics, or a related area are invited to apply. Prior experience with medical imaging (in particular, image processing and analysis) is required. Familiarity with mathematical or statistical modeling, machine learning and data mining is highly desired. Strong programming skills in MATLAB are required. We are seeking a highly motivated individual with well-developed communication skills and the desire and talent to tackle challenging technical problems in medicine.

I’m dedicated to mentoring and educating the future leaders in biomedical research. One of my postdocs has recently won the highest award available to trainees (Resident Clinical/Basic Science Research Award) from ASTRO, world’s largest professional society for radiation oncologists.

Interested applicants should send Curriculum Vitae with publications and research experience/skills, and the names and contact information of 3 referees to:

Ruijiang Li, PhD, DABR