Overview:
The TES Research Associate will work with scientists and students under the supervision of Dr. Chen - to support research related to AI-driven modeling of forestry systems, plant physiological processes, and ecological traits. The position will focus on developing computational models integrating multi-source datasets, including remote sensing, field measurements, environmental variables, and biological trait data.
Temporary Employment Services (TES), a unit of the Auburn University Department of Human Resources, is an in-house support center established to meet the temporary employment needs of the university. TES provides qualified and dedicated temporary employees in a wide variety of occupations to meet the staffing needs throughout the campus. Temporary employees are hired for a variety of reasons with the most common being:
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Assistance in the place of a regular employee who is absent for a specified period of time
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Additional assistance during periods of abnormal or peak workloads
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Assistance with special projects
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Seasonal work
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Emergencies
If you are looking for an employment opportunity, TES is a great way to showcase your professional skills and assist Auburn University while gaining valuable work experience within higher education.
AU students are not eligible for TES.
Responsibilities:
- Developing and implementing machine learning and deep learning models to analyze forestry, physiological, and ecological datasets
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Modeling plant growth, carbon allocation, stress response (e.g., drought, salinity), and ecosystem productivity using AI-based approaches
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Integrating multi-modal datasets (remote sensing, UAV/drone imagery, field inventory data, soil and climate parameters, and genomic/trait data)
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Conducting statistical modeling, feature selection, and predictive analytics for forest health, resilience, and biomass estimation
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Supporting data preprocessing, cleaning, normalization, and database organization
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Assisting in the preparation of research reports, manuscripts, and grant proposals
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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:
Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
Pay Range: USD $20.00 - USD $20.00 /Hr.
