Research Associate (AI for Nature Based Climate Solutions)
Core
Collect, curate, and validate large-scale multimodal ecohydrological remote sensing datasets; train and evaluate models on high-performance computing systems to monitor tropical ecohydrological processes.
Role type
Research Associate (AI for Nature Based Climate Solutions)
Builds
Integrated assessment models for land, water, carbon, energy, climate, ecosystems, and human systems interactions
Domain
Environmental science, remote sensing, computer vision, climate change
Deliverable
production ML models
Required skills
Python, MATLAB, PyTorch, Linux, high-performance computing, 3D point-cloud processing, remote sensing data processing, model design, experimental design, scientific writing
Preferred skills
CCF Rank A publication record (e.g., CVPR), IEEE TGRS publication record, first- or co-first-author papers
Technologies
PyTorch, Linux, high-performance computing
Responsibilities
Collect and validate large-scale multimodal ecohydrological remote sensing datasets; Train and evaluate models on large datasets and high-performance computing systems; Apply developed datasets and models to monitoring and analysis of tropical ecohydrological processes
Seniority
Mid-level, hands-on IC