Auburn is seeking a TES Research Associate to support research in AI-driven modeling of forestry systems at Auburn University. This role includes developing computational models utilizing various datasets and conducting statistical analyses. A master's degree in Computer Science, Artificial Intelligence, or a related field is required. Candidates will gain hands-on experience in AI applications relevant to forest productivity and climate resilience, while enjoying generous benefits and a supportive work environment.
Qualifications
Strong background in machine learning and deep learning techniques.
Experience with integrating multi-modal datasets.
Knowledge of statistical modeling and predictive analytics.
Responsibilities
Develop machine learning models for forestry datasets.
Conduct statistical modeling and predictive analytics.
Assist in research report preparation.
Skills
Machine learning
Deep learning
Statistical modeling
Education
Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
Job description
Auburn is seeking a TES Research Associate to support research in AI-driven modeling of forestry systems at Auburn University. This role includes developing computational models utilizing various datasets and conducting statistical analyses. A master's degree in Computer Science, Artificial Intelligence, or a related field is required. Candidates will gain hands-on experience in AI applications relevant to forest productivity and climate resilience, while enjoying generous benefits and a supportive work environment.