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Research Infrastructure Coordinator

1 week ago

Toronto, Ontario, Canada University of Toronto Full time

Job Description

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The University of Toronto is seeking a highly skilled Research Associate to join its team at the Centre for Robotics Observations of the Biosphere and the Environment (CROBE). The successful candidate will play a crucial role in ensuring the effective operation and utilization of CROBE's research infrastructure, while supporting the program's administrative and technical needs.

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Key Responsibilities

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  • Establish and manage CROBE's research infrastructure program, ensuring efficient operations and optimal utilization of equipment and resources.\
  • Coordinate the deployment and maintenance of research equipment and infrastructure, overseeing equipment inventory and maintenance schedules.\
  • Process and coordinate equipment usage requests, maintain booking schedules for all research equipment, and track equipment utilization and generate usage reports.\
  • Serve as primary liaison with equipment vendors and service providers, lead the negotiation of service agreements and maintenance contracts, and manage procurement processes in coordination with university purchasing systems.\
  • Support bi-monthly CROBE Governing Board meetings, track and implement Board decisions regarding equipment allocation, document and maintain equipment usage guidelines and procedures, and assist in coordinating annual stakeholder meetings.\
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Qualifications

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To be successful in this role, you will possess a Master's or PhD degree in a relevant field such as Engineering, Remote Sensing, Geography, Biological Sciences, Environmental Sciences, or related. You will also have at least three years' experience in technical or research equipment management or equivalent.

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Preferred Qualifications

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Experience processing and managing remote sensing data, demonstrated experience operating drones for data collection purposes, hands-on experience with one or several types of remote sensing equipment, particularly LiDAR, Solar-Induced Fluorescence (SIF) sensors, Hyperspectral sensors, Thermal sensors, RGB cameras, experience troubleshooting and resolving complex electronic and mechanical issues with field research equipment and drone systems, and familiarity with research infrastructure management.