The Johns Hopkins University Applied Physics Laboratory (APL) is seeking a Biomechanical Signals & Analysis Engineer to advance processing approaches and sensing technologies related to war-fighter protection, resilience, and enhancement by analyzing biomechanical data.
Requirements
- 1+ year demonstrated hands-on experience collecting and analyzing data from sensors.
- Documented experience with statistics, signal processing, and algorithm development.
- Deep proficiency in Matlab or Python.
- Understanding of acoustics and optics.
- Knowledge of biomechanics and physiology.
- Experience applying machine learning or deep learning techniques to noisy or complex sensor data.
- Expertise using object-oriented programming.
Responsibilities
- Be responsible for designing, implementing, and evaluating algorithms to extract relevant biomechanical signatures from physiological sensors, remote sensing systems, and other modalities.
- Work across teams to develop novel methods for combining and analyzing signal data to extract actionable information.
- Have an opportunity to execute complex experiments, collecting unique value.
Other
- Are a problem-solver, are a self-starter, and thrive in team environments.
- Are able to obtain a Secret level security clearance.
- Eligibility requirements include U.S. citizenship.
- Demonstrated experience in working in an interdisciplinary research environment.
- Experience with animal or human subjects research.
