Carbon Mapping Student Research Assistant

Engage in cutting-edge research as a Student Research Assistant focusing on Carbon and Wetland Mapping at Environment and Climate Change Canada. Embrace this opportunity to apply machine learning techniques while working part-time in a collaborative environment.

This role is ideal for graduate students enrolled in programs related to Remote Sensing, Geomatics, Data Science, or Geography. As a research assistant, you will assess Earth Observation data, investigate methodologies for machine learning, and design experiments utilizing remote sensing and bioclimatic variables. This position is aimed at full-time students, requiring 10-20 hours of commitment weekly.

Key Responsibilities:

• Assess bioclimatic predictor variables for wetland identification

• Investigate machine learning methodologies for classifications

• Design remote sensing experiments and research protocols

• Script and refine data processing in Python and R

• Analyze data and effectively communicate research findings

Requirements:

• Enrolled in a relevant graduate MSc program

• Experience with satellite imagery processing

• Background in Canadian wetland ecosystems

• Proficient in Python and R scripting

• Familiarity with machine learning algorithms in image analysis

Utilize your data science skills to contribute to vital environmental research at Environment and Climate Change Canada.
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