Land Cover Classification using Machine Learning with Image Fusion

Project Title: Land Cover Classification using Machine Learning with Image Fusion

Duration: 2 years.

Location: UTAR Sungai Long Campus

Stipend: RM 2,000 per month, addition top up after proposal defense. (T&C applied)

Education Level: Bachelor's Degree in a field related to Engineering/Computer Science/Geographic Information System. Candidate will obtain a Master in Engineering Science at the end.

Specific Skills / Knowledge Required: Programming skills. Experience in Python/MATLAB is a plus.

Job Description: Doing research classifying land cover using Deep Learning framework alongside with satellite image data from Google Earth Engine.

How to apply: Drop your CV to Dr. Toh Chia Ming at tohcm@utar.edu.my