Research Assistant (Remote Sensing and Machine Learning)

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:

• Perform fieldwork

• Curation of remote sensing data from UAV mapping missions across multiple forested sites.

• Explore and implement biodiversity classification and canopy analysis algorithms based on UAV remote sensing data.

• Build the system infrastructure for serving the UAV data to the research methods

• Provide data visualization for end-users.

• 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

• Construct a professional data portal for multiple users to conveniently enter the data and view the results using industry-standard software engineering practices.

• Liaise work between NTU, NUS and NParks to bring the project to a successful ending.

Job Requirements: 

• Bachelor’s degree or Honours degree in Computer Science or related with relevant research/work experience.

• Academic background in remote sensing, machine learning or data science

• Experience in software engineering (from industry or equivalent)

• Excellent written and oral communication skills.

We regret that only shortlisted candidates will be notified.