Open Postdoctoral position, faculty mentor Guolan Lu

Posted on Mon, 10/20/2025 - 08:12

Important Info

Faculty Sponsor First name: 
Guolan
Faculty Sponsor Last Name: 
Lu
Stanford Departments and Centers: 
Urology
Postdoc Appointment Term: 
The initial offer will be for a one-year term, with the possibility of annual renewal contingent upon performance
Appointment Start Date: 
February 1st, 2026 (flexible)
Group or Departmental Website: 
https://urology.stanford.edu/about.html
How to Submit Application Materials: 

email to guolanlu@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 FY25 minimum is $76,383.

Postdoctoral Fellow in AI for Spatial Biology

Description: 

The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform how we decode cancer biology from spatial multi-omics data. This position offers an exceptional opportunity to build next-generation generative models for complex biological systems, working with large-scale multimodal datasets and collaborating with leading experts in spatial biology, AI, and cancer research.

Responsibilities: 

  • Design and train state-of-the-art generative AI architectures (e.g., diffusion transformers, multimodal representation learning) for modeling high-dimensional biological images.

  • Develop computational methods to reconstruct and simulate 3D tissue architecture and dynamics.

  • Collaborate with an interdisciplinary team of engineers, biologists, and clinicians to interpret model outputs and guide new experiments.

Why Join Us:

  • Access to unique, large-scale spatial datasets generated in-house.

  • Work at the interface of AI and human biology in a highly interdisciplinary environment.

  • Define a new frontier in generative AI for spatial biology while developing your independent trajectory.

Required Qualifications: 

  • PhD in Computer Science, AI/ML, Computational Biology, or a related quantitative field.

  • Proven expertise in deep generative modeling and large-scale multimodal learning.

  • Experience with GPU-accelerated computation and high-dimensional data analysis.

  • Enthusiasm for applying AI innovations to real biological and medical challenges.

Required Application Materials: 

  • Cover letter describing relevant experiences, accomplishments, interests, and goals

  • Curriculum vitae

  • Name and contact information of three references

 

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.