Postdoctoral Fellowship: Digital Human Modeling

A team of researchers at Stanford University, including Scott Delp, Garry Gold, Karen Liu, Akshay Chaudhari, Ellen Kuhl, Jennifer Hicks, and Kayvon Fatahalian is accepting applications for a postdoctoral fellowship in digital human modeling. Individuals with a background in computational biomechanics are welcome to apply.

Our team is developing and applying biomechanics and machine learning methods to study how humans move to achieve athletic performance, recover from injuries, and improve health and wellbeing. For example, we develop OpenSim (opensim.stanford.edu), a freely available software system that is used by researchers around the world to develop models of musculoskeletal structures and create dynamic simulations of movement. Our team is supported the Wu Tsai Human Performance Alliance, a major interdisciplinary initiative to study human athletic performance and health, as well as the Mobilize Center (mobilize.stanford.edu), the FAIR Center (faircenter.stanford.edu) and other funding sources.

We are searching for outstanding individuals to join our team and develop new methods to simulate and analyze human movement. Our interdisciplinary approach will leverage novel data sources, such as real-world wearable sensors and video, advanced biomedical imaging, multi-scale modeling, and state-of-the-art models of neural control. 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, biomechanics, or related fields
• Strong research skills
• Experience in development of computational methods of movement

Experience in one or more of the following areas is also desirable; experience in all of these areas is not required: sports science, neural control of movement, wearable sensors, musculoskeletal modeling/OpenSim, biomedical imaging, computer vision, reinforcement learning, machine learning, computer graphics, physics-based simulation, robotics and controls.

SUBMIT APPLICATION

Application Submission Details

You will be asked to upload a letter indicating their interest and experience, a CV, and copies of two representative publications. Please also include in your letter the names of 1 to 3 faculty members you are interested in working with at Stanford.

You must also arrange for two letters of reference to be submitted in Slideroom within two weeks of submitting your application.

We encourage applicants to include links to software or simulations that they have developed as part of their CV.

Deadline

To receive full consideration, applications should be submitted by May 5, 2026. Applications will be considered until the position is filled.