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Washington State University

Land-grant university in Pullman, WA

Postdoctoral Research Associate

Life Sciences ResearchConfirmed live in the last 24 hours
Full-timeProsser, WA, USA$62.2k - $70k /yr

About the Job

Requirements

  • A Ph.D. in Biological Engineering, Agricultural Engineering, Electrical Engineering, Computer Engineering, Computer Science, Horticulture Engineering, or a related field is required by the time of hire.
  • Demonstrated experience in sensor systems, wireless sensor networks or Internet of Things, or data acquisition for agricultural or environmental monitoring, and data analysis using Python, R, or MATLAB, as evidenced by peer-reviewed publications.
  • Ability to conduct field research under variable conditions and communicate results effectively in writing and orally while working collaboratively in interdisciplinary teams.
  • Proficiency in at least one programming language for data processing, modeling, and analysis; Python is preferred.
  • Hands-on experience deploying, calibrating, or troubleshooting sensors, data loggers, or embedded systems in the field.
  • Ability to perform field work in orchards and field crops, including working outdoors in heat, cold, and variable weather and lifting up to 50 pounds of equipment.
  • Willingness to travel regularly to field sites across Central Washington, with occasional overnight travel.
  • Must have or be able to obtain by the time of hire a valid driver's license and meet requirements under SPPM 7.10 and departmental driving standards.
  • Ability to work independently, manage multiple project components, and meet deadlines.

Responsibilities

  • Conduct independent and collaborative research on Smart Farm technologies for tree fruit and irrigated field crops, leading defined project components while contributing to team-wide goals.
  • Design, deploy, and maintain low-power, long-range wireless sensor networks, including LoRaWAN, NB-IoT, cellular, and mesh networks, with attention to node placement, power management, and edge computing.
  • Measure localized soil, plant, and weather conditions, extending approaches to frost, heat, nutrients, and disease stress as projects require.
  • Implement precision, variable-rate, and closed-loop control of irrigation and crop-protection systems, including heat-stress cooling and frost protection, in drip, micro-sprinkler, and center-pivot systems.
  • Integrate ground sensor data with UAV and satellite multispectral and thermal imagery.
  • Analyze and interpret data from sensors, weather, and imagery time-series datasets.
  • Develop AI/ML-driven and process-based models, such as fruit or berry temperature and crop phenology or growth-stage models, to predict stress onset and mitigation needs.
  • Build cloud data pipelines and APIs connecting sensor networks, models, and control systems.
  • Develop web and mobile apps and dashboards for real-time decision support and remote system control.
  • Prepare manuscripts, reports, and presentations, including first-author peer-reviewed papers and talks at national and international conferences such as ASABE.
  • Assist with grant reporting and proposal development for federal, state, and commodity funders.
  • Mentor undergraduate and graduate students in field, lab, data analysis, and programming work.
  • Coordinate project meetings and activities, including field-season planning, equipment and sensor logistics, and data management.
  • Develop extension, outreach, and educational materials, including field-day demonstrations, workshops, extension publications, and app user guides.
  • Collaborate with stakeholders, industry partners, and research teams, including growers, crop consultants, commodity groups, technology companies, and WSU faculty.

Desired Qualifications

  • Hands-on experience with LoRaWAN or other low-power wide-area networks, microcontrollers such as Arduino, ESP32, or Raspberry Pi, and embedded firmware.
  • Knowledge of plant-water relations, evapotranspiration, and irrigation scheduling methods.
  • Experience with tree fruit such as apple, cherry, or pear; grapes; or irrigated row crops.
  • Familiarity with UAV-based thermal or multispectral imaging, GIS, and remote sensing data processing.
  • Experience with AI/ML frameworks such as scikit-learn, PyTorch, or TensorFlow; time-series modeling; cloud data platforms; RESTful API development; and web or mobile app development.
  • Experience with irrigation hardware and automation, including drip, micro-sprinkler, center-pivot, and variable-rate irrigation controllers.
  • Track record of peer-reviewed publication, student mentoring, or extension/outreach to growers.

About the Company

Washington State University

Land-grant university in Pullman, WA

Washington State University is a public land-grant research university based in Pullman, Washington. It provides undergraduate, graduate, and professional education across a statewide campus system.

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