Education and Experience: Master's degree and 4 to 5 years related experience. Supervisory experience preferred. Employees in this classification are required to have a minimum of a Bachelor's degree in a recognized field of science or learning which is directly related to the duties of the position.
Research Skills: Coursework or hands-on experience using data acquisition equipment, sensors, or movement/biomechanics measurement tools. Familiarity with prosthetics and orthotics.
Technical Skills: Proficiency in MATLAB, Python, and C coding; signal processing and filtering; CAD software for mechanical design and 3D printing; AI tools including Claude, Codex, or Cursor.
Human Subjects & Safety: Basic understanding of human subjects research protocols, basic lab safety guidelines, and data confidentiality standards.
Operational & IT Skills: Familiarity with basic IT asset care, file management systems, and shared storage (e.g., cloud storage, network drives).
Communication & Organization: Strong organizational and time management skills, with the ability to maintain open communication, ask targeted clarifying questions, and work constructively with student researchers and leadership. Strong writing skills.