Earth System Modeling Research Fellow

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

NTU Singapore invites applications for a Research Fellow to advance Earth system modeling and ecosystem monitoring under an NRF-funded project hosted by ASE. The role focuses on integrating land, water, carbon, energy, atmosphere, and human system interactions for Southeast Asia and beyond.

The position is a one-year appointment with potential renewal based on performance and funding availability. Strong programming and publishing credentials are essential.

Qualifications

• A PhD in physical geography, remote sensing, and ecology.
• Several years of relevant experience in ecosystem monitoring and manipulation experiments.
• Familiar with remote sensing data from satellite, airborne, and ground sensors (optical, radar, lidar).
• Proficient in Python; knowledge of R, NCL, MATLAB.
• Strong HPC, scripting (Bash, CDO/NCO), and scientific computing skills.
• Strong quantitative and analytical skills with climate model and observational datasets.
• Excellent written and spoken English; track record of published papers.

Responsibilities

• Collect, validate, and harmonize field and remote sensing imagery for ecosystem monitoring.
• Develop machine/deep learning workflows to interpret ecosystem disturbance.
• Synthesize model simulations and observations to diagnose land–atmosphere feedbacks.
• Mentor RAs and students at ASE.

Skills

Python

R

NCL

MATLAB

Bash

CDO/NCO

HPC

Bayesian networks

Remote sensing data processing

Education

PhD in physical geography, remote sensing, or ecology

Job description

NTU Singapore invites applications for a Research Fellow to advance Earth system modeling and ecosystem monitoring under an NRF-funded project hosted by ASE. The role focuses on integrating land, water, carbon, energy, atmosphere, and human system interactions for Southeast Asia and beyond.

The position is a one-year appointment with potential renewal based on performance and funding availability. Strong programming and publishing credentials are essential.