A team of faculty at Stanford University, including Professors Scott Delp, Garry Gold, Karen Liu, Akshay Chaudhari, and Ellen Kuhl is accepting applications for Postdoctoral Fellows in digital human modeling. Individuals with backgrounds in biomechanics, computer science, imaging, robotics, and machine learning are welcome to apply.
Our team is developing and applying biomechanics, AI, imaging, and machine learning to study how humans move to achieve athletic performance, recover from injuries, and improve health and wellbeing. Our team is supported by the Digital Athlete Moonshot of the Wu Tsai Human Performance Alliance (humanperformance.stanford.edu), a major interdisciplinary initiative to study human athletic performance and health, the Mobilize Center (mobilize.stanford.edu), the Restore Center (restore.stanford.edu), Stanford’s HAI project (hai.stanford.edu), and other funding sources.
We are searching for outstanding individuals to join our team and develop new methods to simulate, generate, and understand human movement. Fellows will be co-advised by two or more members of the faculty team. Funding is available to support fellows for two or more years. Fellows will have the opportunity to build an interdisciplinary scientific network, participate in mentoring graduate and undergraduate students, and present their work at international scientific meetings.
Candidates must have:
- A PhD in engineering, computer science, or related fields
- Strong research and communication skills
- Experience in development of state-of-the-art computational methods
Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. We encourage applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university’s research and teaching mission.