Remote Sensing Scientist

POSTED: February 9, 2021
START DATE: Immediate Availability

Seeking to hire a highly motivated scientist/engineer to support collection, analysis, and interpretation of remote sensing data acquired from multi-sensor aerial and ground-based platforms in agriculture. The successful candidate will support system calibration of remote sensing platforms with RGB/LiDAR/HS-VNIR/HS-SWIR/thermal cameras, processing, and analysis of remote sensing data.

The position also includes development, implementation, and evaluation of algorithms for analysis of multi-sensor data. Experience in development of interfaces for remote sensing and plant phenotyping data is desirable. The candidate will also engage with installation, calibration, and training of customers.

Key Qualifications

  • MS/PhD in Electrical or Civil Engineering, Geomatics, Computer Science, Robotics, or related fields
  • Advanced understanding of photogrammetry and image/signal processing
  • Technical knowledge of Inertial Navigation System (INS), Inertial Measurement Units (IMU) and Global Positioning System (GPS) applications.
  • Must be able to research and fix problems efficiently and independently.
  • Must be able to work well in a group and have strong communication skills.
  • Expertise in python, C/C++ programming languages
  • In-depth experience with machine learning, data mining, Python, R, SQL, GIS and data visualization / interpretation methods is required.
  • Demonstrated expertise in applying state-of-the-art data analytics for research problems.
  • Critical thinking and strong problem-solving skills.
  • Strong communication skills
  • Ability to understand and participate in developing the company business plan and strategies
Key Responsibilities
  • Lead data processing, algorithm development, and analytical processing.
  • Contribute to strategy and execution of software roadmap and development.
  • Provide statistical and machine learning expertise, and collaborate to improve experimental design, data collection, modeling, process design and interpretation of complex datasets to enable data-driven decisions.
  • Analyze and organize large data sets, identify relevant variables and define solutions for company use.
  • Use high-performance machine learning algorithms (decision trees, neural networks, etc.) and apply them on range of research and business projects.
  • Explore computer vision and image processing analysis algorithms, using tools like RGB, hyperspectral, fluorescence, LIDAR, and 3D imaging for detecting and classifying objects in variable resolution datasets.
  • Develop and deploy end-to-end data engineering and data science pipelines at scale for users with diverse backgrounds.
  • Support company goals and objectives, policies and procedures.
  • Perform other duties as may be required by supervisor.


Interested candidates should send a resume/CV and Cover Letter to

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