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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.