Postdoctoral Fellow in Motion Tracking, Wearable Sensors, Estimation, Machine Learning

The Harvard Biodesign Lab invites applications for an immediate opening on a research project focused on connected systems for tracking strength training exercises. The role will involve being part of a multidisciplinary team working on a connected fitness project using wearable sensors to estimate amount and quality of motions for upper and lower bodies during strength training. Experience with machine learning is a big plus. A candidate would be expected to work with the team of engineers and an exercise scientist to develop algorithms and help administering user testing.

The candidate should have:

• A Ph.D. in computer science, mechatronics, or biomechanics.
• Extensive experience using IMUs, signal processing, calibration and data fusion for motion tracking.
• Strong organizational, motivation, and communication skills are strongly preferred. A passion for sports, biomechanics and technology is also highly desired.

Application materials include an updated CV, a cover letter describing research interests and goals, a full list of publications, and up to three relevant scientific papers. Please submit the names and contact information for up to three references. 

Please click here to apply.