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Image Sensor Scientist-UIUC Innovation Center

Monsanto Innovation Center -Let’s Reimagine Together

At the Monsanto Innovation Center, we use digital tools and data to drive agricultural innovations which increase efficiency and reduce the amount of water, land, and energy necessary to meet the world’s food, fuel, and fiber needs.

Monsanto is a global modern agriculture company. We develop products and tools to help farmers around the world grow crops while using energy, water, and land more efficiently. We believe innovation has the potential to bring humanity’s needs in balance with the resources of our planet. Monsanto is a Fortune 500 company with over 20,000 employees in 69 countries around the globe.

Employees will help accelerate Monsanto’s growth in emerging technologies and capabilities including engineering, data science, advanced analytics, operations research, phenomics, genomics, plant science and precision breeding technologies. At Monsanto, we believe connecting new talent, ideas and innovations accelerates the discovery needed to feed and sustain our world. Be part of the future of agriculture and identify exciting ways to visualize data to drive actions and decisions that impact product development and farmers globally.

Do you have a passion to:

  • Work with humongous data sets collected from around the world?
  • Investigate brand new sensor technologies?
  • Imagine better solutions for data capture and utilization?
  • Analyze data to identify trends that drive new strategic decisions?
  • Communicate observations from trends to a broad audience?

Would you like the opportunity to:

  • Innovate your own sensor platforms and solutions?
  • Challenge the norms in data capture?
  • Learn fast in an exciting, energetic environment?
  • Develop relationships with world class scientists?

Minimum Qualifications:

Must be registered as a full-time UIUC student

Must be able to commute to the work location daily

Must have a cumulative minimum GPA of 3.0/4.0, or equivalent

Available up to 20 hours/week during the academic year

Available up to 35 - 40 hours/week during the summer semester

The successful candidate will need to possess skills in at least two of the following areas: QGIS, Python, R, Image Data Science, Plant Breeding.