Posted on Tue, 08/27/2024 - 21:25

Important Info

Faculty Sponsor (Last, First Name): 
Vivek P. Buch
Other Mentor(s) if Applicable: 
Ehsan Adeli, PhD
Stanford Departments and Centers: 
Neurosurgery
Neuroscience Institute
HumanCentered Artificial Inte
Postdoc Appointment Term: 
2 year appointment with possibility of extension
Appointment Start Date: 
ASAP
Group or Departmental Website: 
http://www.similab.org
http://www.rnetlab.org
How to Submit Application Materials: 

Please send email to vpbuch@stanford.edu and jayjpark@stanford.edu

Does this position pay above the required minimum?: 
Yes. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications of the selected candidate, budget availability, and internal equity.
Pay Range: 
$73,800–$75,000

Project Title: Developing the Surgeon-Machine Interface (SMI) for real-time intraoperative surgical guidance

To mitigate surgical outcome variability and to strive for data-driven surgical decisions, we are developing a real-time surgical guidance system, namely the SMI. Our aim is to enable novel analytics and inference for surgeons whilst procedures are performed. We have established a global collaboration (SMART Surgeon Collaborative), to collect data from four different countries in nine different centres that are enrolled thus far.

The SMI involves an integration of segmentation of surgical video dataset, advanced data analytics, and 3D reconstruction. Currently we have multiple different CV tasks including the development of a state-of-the-art segmentation architecture,  novel algorithms to capture metrics within the surgical field, automating operative notes using vision language models, and 3D reconstruction of surgical scene, and surgical reasoning. We have an opening for a Postdoc in Computer Vision to lead innovation in segmentation, depth perception, and integrating multimodal approaches in transforming the surgical practice.

This position is ideal for someone with exceptional technical skills and interest in applying state-of-the-art computer vision technology to the surgical field. The Surgical Innovation & Machine Interfacing (SIMI) Lab is a translational lab that encourages the members to think in a product mind-set and drive the technology to directly improve patient care. 

Required Qualifications: 
  • Substantial experience with Python, OpenCV, Pytorch, TensorFlow.
  • Highly motivated and accountable postdoctoral researcher with extensive experience with machine learning, segmentation models, 3D perception, and 3D reconstruction. 
  • Demonstrated ability to bridge research (innovative ideas, writing papers, etc.) and practice (implementation of methods at scale for use in the real world)
  • Ph.D. in computer science (In computer vision domain)
  • Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize effectively. Strong management skills are also recommended. 
  • English proficiency:  Able to lead a team of engineers
Required Application Materials: 
  • Cover letter (1 page)
  • CV
  • Copies of two articles that demonstrate previous work.
  • Contact information for two letters of recommendation

 

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.