TES Research Associate
Core
Develop AI-driven computational models integrating multi-source datasets to model forestry systems, plant physiological processes, and ecological traits.
Role type
Research Associate (AI/ML for Ecology)
Builds
Computational models for forest health, carbon allocation, and ecosystem productivity
Domain
Forestry, Plant Physiology, Ecology, Remote Sensing
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Statistical modeling, Python, R, TensorFlow/Pytorch, Large-scale dataset handling, Data preprocessing
Preferred skills
Scientific writing, Interdisciplinary research interest
Technologies
Python, R, TensorFlow, PyTorch, Remote sensing, UAV/drone imagery, Genomic data
Responsibilities
Develop and implement ML/DL models for ecological datasets; Model plant growth and stress response; Integrate multi-modal datasets; Conduct statistical modeling and predictive analytics; Support data preprocessing and database organization; Assist in preparing research reports and manuscripts.
