Who We Are:

We are a multidisciplinary team of engineers who collaboratively solve client driven problems primarily related to the human musculoskeletal system. We combine advanced experimental and computational methods applied to challenging problems to improve human health, performance, and safety.

Objectives of this Role:

• Join our team to conduct innovative research for a wide range of commercial and military biomechanics and human performance applications utilizing advanced computational and experimental techniques.
• Work in a highly collaborative team to develop and apply advanced markerless motion capture systems using computer vision, AI, and biomechanical modeling to assess human performance in rehabilitation, athletic training, and performance applications.
• Collaborate in a dynamic team to develop and apply advanced technology for creating human digital twins, enhancing understanding of human performance and biomechanics.
• Interact and engage with commercial and government clients to develop solutions that fit their requirements.

Daily and Monthly Responsibilities:

• Use advanced computational and experimental techniques and facilities to address a wide range of biomechanics, injury analysis, and human performance applications.
• Interact and engage with commercial and government clients to develop solutions that fit their requirements.
• Write and present reports and technical papers, and manage the technical and financial performance of projects.
• Participate in and eventually lead individual and collaborative research projects as well as develop, promote, and write proposals for research and development programs.

Requirements:

• Requires a Masters or a PhD in Mechanical Engineering, Biomedical Engineering or Engineering Mechanics.
• 0-5 years: Must have experience in developing multi-body dynamics models of musculoskeletal systems
• 0-5 years: Experience with commercial motion capture systems, force plates, wearable sensors, and EMG
• 0-5 years: Experience with commercial and open source software and programming languages such as OpenSim, AnyBody, Python, or Matlab.
• Experience and interest in advanced data analysis methods, uncertainty analysis or probabilistic mechanics, experimental methods and data collection.
• A valid/clear driver's license is required.