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Open Postdoctoral position, faculty mentor Joseph Liao

Important Info

Faculty Sponsor (Last, First Name): 
Liao, Joseph
Other Mentor(s) if Applicable: 
Lei Xing
Stanford Departments and Centers: 
Urology
Postdoc Appointment Term: 
1-year term, with possibility of extension
Appointment Start Date: 
ASAP
Group or Departmental Website: 
https://urology.stanford.edu/
https://med.stanford.edu/liaolab.html
https://med.stanford.edu/xinglab.html
How to Submit Application Materials: 

If interested in this role, please send all application materials to: jliao@stanford.edu

Does this position pay above the required minimum?: 
No. The expected base pay for this position is the Stanford University required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY24 minimum is $71,650.

We are inviting applications for a full-time postdoctoral scholar with a strong computational background and interest in leading the development of clinical deep learning and other machine learning models to enable improved diagnosis, prognostication, and prediction of treatment response for bladder cancer, specifically related to endoscopic imaging and surgery.  The postdoctoral scholar will be co-mentored by Professor Joseph Liao in the Department of Urology and Professor Lei Xing in the Department of Radiation Oncology.  Creative, highly motivated individuals with strong problem-solving skills, a record of scholarly productivity, and the ability to work independently, yet collaboratively, in a multidisciplinary environment with clinicians, computer scientists, and statisticians, are strongly encouraged to apply. Previous experience working with optical imaging and computer vision is a strong plus.
 
The successful candidate will be jointly based in the Department of Urology at the Stanford University School of Medicine and will be affiliated with Department of Radiation Oncology and the Center for Artificial Intelligence in Medicine & Imaging (AIMI), with opportunities to work with a diverse and dynamic group of researchers applying AI to solve clinically important problems in healthcare.

Required Qualifications: 
  • PhD and/or MD with a background in Computer Science, Informatics/Biomedical Data Science, Engineering, Statistics, Computational Biology, or a related field
  • Prior experience in computer vision, with application of deep learning to medical images
  • Excellent communication skills and fluency in both spoken and written English
Required Application Materials: 
  • CV
  • Contact information for three references
  • Brief cover letter describing research interests and career goals

 

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.