• Salary Range:

• USD $20.00/Hr. - USD $20.00/Hr.

• Locations:

• Auburn University, AL

• Job Type:

• Temporary

• Department:

• Forestry Wildlife and Environment

• Associated Division:

• College Forestry Wild Environment

• Req ID:

• 8023
• 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: + Assistance in the place of a regular employee who is absent for a specified period of time + Additional assistance during periods of abnormal or peak workloads + Assistance with special projects + Seasonal work + 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 + 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
• Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
• Minimum Knowledge, Skills, and Abilities
• + Experience in machine learning, deep learning, and statistical modeling + Strong programming skills (e.g., Python, R, TensorFlow/PyTorch) + Experience handling large-scale ecological, biological, or remote sensing datasets + Strong scientific writing and communication skills + Interest in interdisciplinary research in forestry, plant physiology, and ecosystem science
• Why Work at Auburn?
• + •

Life-Changing Impact:

• Our work changes lives through research, instruction, and outreach, making a lasting impact on our students, our communities, and the world. +

• Culture of Excellence:

• We are committed to leveraging our strengths, resources, collaboration, and innovation as a top employer in higher education. +
• We're Here for

You:

• Auburn offers generous benefits, educational opportunities, and a culture of support and work/life balance. +

• Sweet Home Alabama:

• The Auburn/Opelika area offers southern charm, vibrant downtown scenes, top-ranked schools, and easy access to Atlanta, Birmingham, and the Gulf of Mexico beaches. +
• A Place for

Everyone:

• Auburn is committed to fostering an environment where all faculty, staff, and students are welcomed, valued, respected, and engaged. +
• Ready to lead and shape the future of higher education? Apply today! War Eagle!

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