R&D Environmental Sensing, UAV & Data Analytics Intern

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R&D Environmental Sensing, UAV & Data Analytics Intern####

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** Join Vylor - Powering the Future of Agriculture
** Join us to help scale innovation globally and shape what's next in crop science.

Vylor is seeking a highly motivated 6-month
** R&D Environmental Sensing, UAV & Data Analytics Intern
** to join our team at the Johnston, Iowa Global Campus. This role sits at the intersection of environmental physics, unmanned aerial systems (UAS), Internet of Things (IoT) technologies, and data science. The position provides a unique, hands-on opportunity to evaluate cutting-edge environmental data streams, operate advanced remote sensing payloads, and explore how novel field sensors impact plant breeding, crop health, and predictive crop modeling.

The successful candidate will work in both laboratory and field environments, deploying advanced sensors and developing data pipelines to ensure high-fidelity environmental data is available for downstream agronomic modeling.
** Key Responsibilities**
* ** UAV & Thermal Remote Sensing Operations:
** Plan, coordinate, and execute UAV flights to capture high-resolution thermal and multispectral imagery. Manage the end-to-end photogrammetric and thermal calibration processing workflows to translate raw aerial imagery into actionable crop water-use and stress analytics.
* ** Novel Soil Moisture & Environmental Sensor Evaluation:
** Help investigate, deploy, and benchmark next-generation soil moisture sensing technologies, exploring novel methods such as cosmic ray neutron sensing (CRNS), ground- or satellite-based radar, and IoT-enabled environmental probes.
* ** Data Quality Control & Pipeline Automation:
** Develop and implement automated data quality control (QC) scripts using Python or R to ingest raw sensor data, identify sensor drift, flag outliers, and handle transmission gaps across various field sites.
* ** Hardware Troubleshooting & Calibration:
** Assemble, calibrate, test, and troubleshoot field-sensing equipment and environmental stations. Optimize station siting, evaluate sensor performance, and perform routine maintenance to ensure data integrity.
* ** Geospatial & Statistical Analysis:
** Utilize GIS and remote sensing tools (e.g., QGIS, ArcGIS, or Google Earth Engine) to analyze the spatial representativeness of weather stations and integrate geospatial layers with in-field meteorological observations.
* ** Cross-Disciplinary

Collaboration:

** Partner with breeders, agronomists, data scientists, and crop modelers to communicate how environmental data quality and spatial variability impact downstream predictive models.
* ** Dedicated Research Project:
** Design, execute, and present a dedicated research project focused on UAV thermal imaging analytics or soil moisture sensor network optimization to Vylor R&D leadership.
* ** Field &…