- Manage a team of research scientists and software engineers, providing career guidance, regular feedback and tracking performance.
- Plan and direct cutting-edge applied research to define sensor performance requirements as well as characterize the dependencies between sensors and overall system performance.
- Collaborate closely with hardware, algorithms, and user experience research teams to develop performant wearable devices with integrated biosensors.
- Use quantitative research methods to define, iterate upon, and advance key areas of our research agenda.
- PhD in electrical engineering, mechanical engineering, physics, materials science, applied math, statistics, signal processing, control theory, or a related technical field
- Track record of research excellence as demonstrated by peer-reviewed publications
- 4+ years of experience after PhD in related industry R&D setting
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- 2+ years experience managing a team of research scientists
- Expertise in sensor characterization and requirement-setting, including use of numerical simulation and statistical signal processing methods
- Experience partnering with sensor hardware engineering teams
- Experience working with time-series data from sensor arrays, e.g. audio, physiological, radar, sonar, lidar, computer vision, medical imaging (like MRI or CT) or other signal modalities
- Research-oriented software engineering skills, including fluency with libraries for scientific computing (e.g. SciPy ecosystem)
- Experience with development of wearable biosensors (e.g. PPG, ECG, EMG, IMU)
- Experience with design and analysis of human-in-loop testing experiments
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