The School of Electrical and Electronic Engineering is looking for a Research Assistant (RA) who can work as a Data Scientist, Machine Learning (ML) Researcher and ML Engineer working in collaboration with external NUS and NParks cross-functional teams.
This is a full-time Research Assistant (with Honours degree) position at the School of Electrical and Electronic Engineering (EEE) under Dr. Sit Ji-Jon and A/P Lee Yee Hui. In this project, the RA must fill the 3 roles of Data Scientist, Machine Learning (ML) Researcher and ML Engineer at a proportion of 2:5:3 respectively.
Key Responsibilities:
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Perform fieldwork
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Curation of remote sensing data from UAV mapping missions across multiple forested sites.
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Explore and implement biodiversity classification and canopy analysis algorithms based on UAV remote sensing data.
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Build the system infrastructure for serving the UAV data to the research methods
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Provide data visualization for end-users.
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Build a ML model that integrates the results from Phase 1 with data from NUS Ecology and Geospatial teams for forecasting forest growth and recovery
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Construct a professional data portal for multiple users to conveniently enter the data and view the results using industry-standard software engineering practices.
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Liaise work between NTU, NUS and NParks to bring the project to a successful ending.
Job Requirements:
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Bachelor’s degree or Honours degree in Computer Science or related with relevant research/work experience.
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Academic background in remote sensing, machine learning or data science
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Experience in software engineering (from industry or equivalent)
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Excellent written and oral communication skills.
We regret that only shortlisted candidates will be notified.
