Summary
The Dai Lab (Intelligent Image-Guided Intervention Lab) in the Department of Radiation Oncology at Stanford University is seeking multiple Postdoctoral Scholars. The lab focuses on developing next-generation AI and imaging technologies for image-guided interventions and precision radiation oncology.
Postdoctoral Scholars – Intelligent Image-Guided Intervention Lab, Stanford University, USA
Job Details
| Category | Details |
| Designation | Postdoctoral Scholar |
| Faculty Mentor | Xianjin Dai |
| Stanford Departments | Radiation Oncology, Radiation Physics |
| Location | Stanford University, Stanford, California 94305 |
| Appointment Term | One year, renewable for up to five years |
| Start Date | Flexible, though preferably by August 2026 |
| Expected Base Pay | FY27 Stanford University required minimum ($79,056) |
Research Areas & Job Description
Applicants will join one of the following two primary research tracks:
- Position 1: AI for Medical Imaging (1–2 positions)
- Focus: Developing next-generation AI technologies for precision radiation oncology.
- Key Domains: Foundation Models, Agentic AI, Reinforcement Learning, and Medical Image Analysis.
- Position 2: Intelligent Imaging Systems (1–2 positions)
- Focus: Advancing advanced imaging modalities for guided interventions.
- Key Domains: Ultrasound/Photoacoustic Imaging. Experience with imaging system development is preferred but not required.
Eligibility & Qualifications
- Education: Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, Medical Physics, Mathematics, or a related field.
- Skills: A strong publication record and robust programming skills.
How to Apply
Interested candidates should submit their application materials via email to xjdai@stanford.edu with the subject line ‘Postdoc Application’.
Required Application Materials:
- Current CV
- One representative publication
- A research statement (maximum of one page)
Last Date to Apply
Applications will be reviewed on a rolling basis until all positions are filled. (There is no fixed deadline, but early submission is encouraged as the preferred start date is August 2026).
