Analysis Skills, Artificial Intelligence (AI), Biomass, Computer Science, Data Cleaning, Data Science, Data Sets, Deep Learning, Ecosystems, Forestry, Genomics, Grant Writing, Machine Learning, Predictive Modeling, Resource Management, Staff Requirements, Statistical Modeling, Training Data Sets, Unmanned Aircraft Systems (UAS)
Auburn University, Alabama
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.
Pay Range:
USD $20.00 - USD $20.00 /Hr.A
Auburn University
Welcome to Auburn University, a
comprehensive land, space and sea grant research institution blending arts and applied sciences. The University
continuously changes to accommodate today's needs, while still respecting the traditions and spirit of Auburn. As we grow and change, Auburn will always continue its tradition of excellence.
The main campus had an enrollment during fall of 2007 of 24,137. Auburn University offers degrees in 13 schools and colleges at the undergraduate,
graduate and professional levels.
Auburn University is known not only for its academic excellence, but for its impact on Alabama as well. A recent study
determined AU had nearly $ 4 billion
economic impact on the state of Alabama, including a $ 1.5 billion impact on the economy and a $ 2.4 billion impact in "human capital." AU's Technical Assistance Center, a collaborative Engineering / Business outreach unit, performs hundreds of projects annually for state industry, generating millions of dollars in increased efficiencies and saving or creating hundreds of jobs statewide.
Auburn University has developed into one of the largest universities in the South, remaining in the educational forefront with its traditional blend of arts and applied science, and changing with the needs of today while living with a respect for the traditions and spirit that are Auburn.