Job Summary:
Auburn University is looking for a TES Research Associate to support research in AI-driven modeling of forestry systems. The role involves developing computational models and integrating multi-source datasets to advance understanding in ecological traits and plant physiological processes.
Responsibilities:
• Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets
• Modeling plant growth, carbon allocation, stress response (e.g., drought, salinity), and ecosystem productivity using AI-based approaches
• Integrating multi-modal datasets (remote sensing, UAV /drone imagery, field inventory data, soil and climate parameters, and genomic/trait data)
• Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation
• Supporting data preprocessing, cleaning, normalization, and database organization
• Assisting in the preparation of research reports, manuscripts, and grant proposals
• This position will provide hands-on experience in applying artificial intelligence and computational modeling techniques to complex biological and ecological systems, with applications in forest productivity, climate resilience, and sustainable resource management.
Qualifications:
Required:
• Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
Company:
Auburn University is an institute of higher learning that offers undergraduate and graduate courses. Founded in 1856, the company is headquartered in Auburn University, USA, with a team of 5001-10000 employees. The company is currently Late Stage.