Renee Zhao

Stanford ARMLab is recruiting a postdoctoral scholar for a new ARPA-H collaborative project focused on robotic automation for stroke intervention . The project sits at the intersection of robotics , medical imaging , controls , and interventional medicine . The team is developing autonomy for a magnetically actuated micro-robot that can navigate complex vasculature under pulsatile blood flow, perform clot retrieval, return to the catheter, and verify treatment success within a clinically relevant time window. Research topics include robotic perception using visual imaging and fluoroscopy/X-ray, motion planning , decision-making , robust control for magnetic micro-robot navigation, automated angiography and clot-removal verification, and autonomous systems for preclinical animal studies. The post is especially relevant for candidates with strong technical backgrounds in robotic perception and control and an interest in deploying robotics for real-world clinical impact. The lab emphasizes interdisciplinary research and life-saving stroke care that could improve access for rural communities while reducing occupational X-ray exposure for clinicians. Timeline: earliest start date July 2026 , latest start date September 2026 . Duration is 2+ years . The post does not specify a stipend amount or detailed funding package, but it is presented as a postdoctoral opening within Stanford ARMLab. Applicants should complete the provided intake/application form and contact Monroe Kennedy III directly. The ARMLab website also notes that postdoc positions are on a rolling basis and that eligible postdocs must have completed their PhD within 3 years of the Stanford postdoc start date.

Stanford University’s Zhao Lab is recruiting three Postdoctoral Scholars for an ARPA-H project on magnetic milli-spinner microbots for endovascular intervention . The project focuses on next-generation robotic microdevices for minimally invasive vascular procedures, including clot debulking, navigation in tortuous vasculature, and autonomous control. Research directions include computation-guided design and optimization of milli-spinner geometries and operating parameters, machine learning and optimization for design/control acceleration, benchtop experimental validation, vascular flow modeling, magnetic actuation, robotic hardware and imaging integration, and ex vivo/in vivo studies. A second track emphasizes robotic control and autonomy , including motion planning, localization, state estimation, closed-loop control, and AI-enabled autonomous endovascular intervention. The lab’s research page highlights the broader milli-spinner platform for medical devices, including applications in stroke, heart attack, aneurysm treatment, and kidney stone-related technologies. This makes the opportunity especially relevant for candidates interested in biomedical engineering , robotics , computer science , medical science , and related areas. Applicants should submit a CV, a brief statement of research interests, up to three representative publications, and contact information for three references. Review begins immediately and continues until all positions are filled. Contact: [email protected] .