Geospatial AI Research Assistant – Land Cover

University of Georgia; Kentucky; On-site; USD 25,000 - 35,000; Part time

Job summary

The University of Georgia is seeking a Research Assistant to work under Dr. Tao Liu. This role involves conducting research on AI applications using remote sensing data, developing geospatial models for land cover classification, and preparing manuscripts for publication. Ideal candidates are graduate students in relevant fields, with proficiency in deep learning frameworks like PyTorch, programming skills in Python, and familiarity with remote sensing data analysis. This position promotes collaboration and independent research in a scholarly environment.

Qualifications

• Experience developing deep learning models using PyTorch.
• Experience applying machine learning or deep learning methods to remote sensing imagery.

Responsibilities

• Conduct comprehensive literature reviews and identify research gaps.
• Design and implement the proposed model and conduct experiments.
• Prepare and write the manuscript for submission to a peer-reviewed journal.

Skills

Deep learning frameworks (preferably PyTorch)

Remote sensing data processing and analysis

GIS concepts and workflows

Programming skills (Python)

Education

Graduate student (Master’s or Ph.D.) in Computer Science, Engineering, Artificial Intelligence, Geospatial Science, or a related field

Tools

PyTorch

GeoTIFF

Shapefiles

Job description

The University of Georgia is seeking a Research Assistant to work under Dr. Tao Liu. This role involves conducting research on AI applications using remote sensing data, developing geospatial models for land cover classification, and preparing manuscripts for publication. Ideal candidates are graduate students in relevant fields, with proficiency in deep learning frameworks like PyTorch, programming skills in Python, and familiarity with remote sensing data analysis. This position promotes collaboration and independent research in a scholarly environment.