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Field
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individual is required to: • Perform field experiments on installation and operations of smart pavements including sensor installation, data acquisition, camera system development, edge device management
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aquatic ecosystems, including mangroves peatlands, and streams, as natural climate solutions. The lab integrates field-based experiments, high-frequency sensor networks, stable isotope approaches, and
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programming skills, with proficiency in C++ / C# / Python. Demonstrated hands-on experience in hardware prototyping, including: • microcontroller platforms (e.g., Arduino, ESP32, STM32) • sensor
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control, sensor fusion, LiDAR and depth sensing, robot hardware and system integration, good programming skills in C++ and/or Python. Experience with edge computing platforms, cameras, LiDAR, IMUs, or
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sensors, actuators, and circuit design. Experience with fabrication techniques such as flexible substrates, and microelectronics. Familiarity with sensor integration and characterization methods
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 6 hours ago
devices in the home, non-clinical approaches for characterizing wearable sensor data, and developing computational modeling and cyber-physical testing for automated devices. Learning Objectives: As a
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contributions and publishable outcomes Develop principled approaches to robustness challenges such as sensor noise, partial observability, contact dynamics, and environment variability Oversee the research
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. In this role, you will investigate how emerging on-farm sensor technologies, particularly virtual fencing, can support more precise and informed livestock, grazing and landscape management decisions
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clouds and radiation, to laboratory chemistry and water-tank experiments. As a background for these experiments, students will receive training on sensor principles and measurement error analysis
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interests and expertise: IoT research and development, including sensor integration and communication improvement. Mechanism research and algorithm development for real-time monitoring and early warning to