About Inari...

Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 300 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!

About the role....

The Remote Sensing intern will be responsible for imagery collection and processing from UAV’s, Satellite, and other sources. This position will be responsible for the collection of imagery from research trials from across the US over the summer. The position will also be responsible for the organization and processing of the imagery after acquisition. This job is located in West Lafayette, Indiana.

As Remote Sensing Intern, you will…

• Setup and conduct flight plan across multiple research trail locations

• Pilot a UAV (part 107 license needed)

• Create and maintain flight data logs and documentation

• Operate and acquire data from multiple sensor modalities

• Use processing software to convert raw imagery into Orthomosaics

• Create plot boundaries from imagery, maps, etc. and extract plot level data

• Troubleshoot issues as they arise

• Travel to fields across the US, often requiring multiple days on the road to acquire data

• Work with key stakeholders to understand what types of sensor data needs to be acquired and when to enable desired analysis.

You Bring…

· Working toward a degree in UAS, ABE, Remote Sensing, Agronomy, or related discipline

· Hold a valid part 107 FAA license

· Good operational working knowledge of UAV’s and multiple sensor modalities (RGB, LiDAR, Hyperspectral, etc.)

· Experience with flight planning and imagery processing software

· Ability to travel with Inari personnel to field trial location across the US (might include overnight trips)

· A valid driver’s license and reliable personal vehicle that is able to transport equipment (drone, base station, etc.).

· Experience in small plot field testing is desirable

· Working knowledge of GIS software (QGIS, ArcGIS, etc.) is desirable

· Understanding of vegetation indices (e.g., NDVI) and their agricultural applications is a plus.

· Ability to work both independently and deliver on responsibilities within a highly collaborative environment.

· Ability to effectively communicate with a diverse range of individuals and audiences.

· A strong sense of purpose and drive to develop unique, high impact solutions.

· Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning.

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FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.