Graduate Student Opportunity

We seek a highly motivated and research-driven student with a background in Remote Sensing, Computer Science, Mechatronics (robotics), Geographic Information Systems (GIS) or a related field for a Master of Environmental Studies program beginning September 2024.

Project: Digital agriculture: Non-destructive Phenotyping and Disease Symptom Monitoring using Remote Sensing

A transition towards sustainable crop production depends on reliable information. As traditional monitoring methods are time- and cost-consuming, this project proposes an autonomous robotic monitoring system that uses remote sensors to deliver farmers robust phenotypic information and 3D plot views, enabling variable-rate input applications and proactive crop management. This MES student project aims to design and build a prototype autonomous robotic system that moves two cameras over a farm plot to acquire vertical stereo images and create three-dimensional photogrammetric models of the farm plot. The student will also perform trial imaging and image analysis for plant phenotyping. The student will be trained to support a multi-stakeholder environment through engagement with Mechanical Engineering, Computer Science and Geomatics and apply strategies that improve communication with different audiences through collaboration, public speaking, presentations, and technical writing.    

The potential MES student should have the following experience/skills: Remote Sensing image processing skills; Computer programming in the Linux environment; Hands-on experience with designing/building structures (robotic system frame), fixing different sensors and testing;   Experience with developing robotic systems would be an asset

Funding will include a stipend of $10,000 per year for two years, conference travel, and publication assistance. Additional financing may be available for domestic students in the form of Graduate Assistantships and summer fieldwork.

Applicants should submit a CV, transcript, short cover letter and two references to Dr. Muditha Heenkenda (muditha.heenkenda@lakeheadu.ca).

The successful applicant will be invited to apply to the MES Program (https://www.lakeheadu.ca/programs/graduate/programs/masters/environmental-studies-northern/node/7266).