Research Assistant (Remote Sensing and Machine Learning)

NANYANG TECHNOLOGICAL UNIVERSITY; Remote; SGD 60,000 - 80,000; Full time

Job summary

A leading educational institution in Singapore seeks a researcher to fill roles in Data Science, Machine Learning Research, and Engineering. Responsibilities include curating UAV remote sensing data, developing classification algorithms, and constructing a professional data portal. A Master's or Honours degree is required, along with strong skills in remote sensing, machine learning, and software engineering. Excellent communication skills are also essential. This role offers a chance to work on impactful research projects.

Qualifications

• Master's or Honours degree with relevant research/work experience.
• Strong academic background in remote sensing, machine learning or data science.
• Proven experience in software engineering.
• Excellent written and oral communication skills.

Responsibilities

• Perform fieldwork and curation of remote sensing data from UAV mapping missions.
• Develop biodiversity classification and LIDAR canopy analysis algorithms.
• Build infrastructure for serving UAV data and provide data visualization.
• Construct a professional data portal for stakeholders.
• Liaise work between NTU, NUS and NParks.

Skills

Remote sensing

Machine learning

Data science

Software engineering

Communication skills

Education

Master’s or Honours degree

Job description

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With more than 130 faculty members and an enrolment of more than 4,000, of which close to 1,000 are graduate students, it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2021 QS World University Rankings by Subjects.

Key responsibilities

In this project, the researcher must fill the 3 roles of Data Scientist, Machine Learning (ML) Researcher and ML Engineer at a proportion of 2:5:3 respectively.

• Data Scientist: perform fieldwork and curation of remote sensing data from UAV mapping missions across multiple forested sites.
• ML Researcher: develop biodiversity classification and LIDAR canopy analysis algorithms based on UAV remote sensing data.
• ML Engineer: the system infrastructure for serving the UAV data to the research methods and provide data visualization for end-users.
• Construct a professional data portal for stakeholders to input 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

• Successful candidate should have a Master’s or Honours degree with relevant research/work experience.
• Strong academic background in remote sensing, machine learning or data science.
• Proven experience in software engineering (from industry or equivalent).
• Excellent written and oral communication skills.

We regret to inform you that only shortlisted candidates will be notified.