Research Fellow (Tropical Ecosystem Monitoring and Simulations)
Core
Advance Earth system modeling and understand interactions among land, water, carbon, energy, atmosphere, ecosystems, and human systems in tropical regions.
Role type
Research Fellow (Earth system modeling & remote sensing)
Builds
Model simulations and multi-source observations for diagnosing land-atmosphere feedbacks
Domain
Geosciences, Ecology, Climate Change, Tropical Ecosystems
Deliverable
production ML models
Required skills
PhD in physical geography/remote sensing/ecology, machine/deep learning workflows, remote sensing data processing (satellite/airborne/ground), tropical climate studies, Python programming, scientific computing, HPC, quantitative analysis of climate model datasets, scientific publication record
Preferred skills
Experience in ecosystem monitoring, manipulation experiments, diagnosis frameworks (knowledge-guided ML, causal inference, Bayesian neural networks), evaluation of simulation results (climate extremes, precipitation patterns, land-atmospheric interactions), analysis of model improvement mechanisms (via careerplan.io/jobs/R00025934-research-fellow-tropical-ecosystem-monitoring-and-simulations-at-ntu)
Technologies
Python, R, NCL, MATLAB, Bash, CDO/NCO, optical sensors, radar, lidar
Responsibilities
Collect, validate, and harmonize field and remote sensing imagery for ecosystem monitoring; Develop machine/deep learning-based workflows to interpret ecosystem disturbance; Synthesize model simulations and multi-source observations to diagnose land-atmosphere feedbacks; Participate in mentoring RAs and students
Seniority
Mid-level Research Fellow (1-year appointment)
