Research Assistant: Remote Sensing, UAV/Satellite Image Processing, and Computer Science

The University of Texas at Austin • Austin, UT

7d • Hybrid

About The Position

The Dao Lab in the Department of Integrative Biology seeks undergraduate research assistants/interns to support projects developing machine learning and deep learning methods for analyzing drone and satellite remote sensing data in agricultural and environmental applications. Work includes lab and field spectral measurements, assisting with drone flights, processing remote sensing imagery and spectra, developing machine learning and deep learning models, conducting statistical analyses, and writing reports. Students work independently and under the supervision of Prof. Phuong Dao, graduate students, and postdoctoral researchers. Training is provided in drone flight assistance, lab and field sampling protocols, and the use of advanced sensors and equipment. The position is based at UT Austin and field sites, with the possibility of some remote work. Applicants are required to work at least 10–15 hours per week, with a schedule based on their availability. The position is expected to continue through December 31, 2026, with possible extension to Spring 2027 and beyond.

Requirements

• Must be a current UT student in an undergraduate program related to Computer Science, Data Science, Remote Sensing, Geospatial Science, Geography, or Geosciences.
• Must have completed the first year of an undergraduate program.
• Must be able to work at least 10–15 hours per week.
• Submit a letter of interest, availability (dates and hours per week), a CV with relevant coursework, GPA, and research experience, and names and contact information for at least two references.

Nice To Haves

• Strong skills in machine learning, deep learning, computer vision, large language models, image processing, and data science.
• Proficiency in Python or a similar programming language.
• Experience with databases, smartphone applications, or web development.

Responsibilities

• Develop machine learning and deep learning pipelines to process drone and satellite imagery.
• Analyze drone and satellite imagery for agricultural and environmental applications.
• Assist with laboratory spectral measurements, field data collection, and drone flights.
• Process remote sensing images and spectra, conduct statistical analyses, and write reports.
• Follow laboratory and field sampling protocols and use research sensors and equipment.

Benefits

• Students may choose to enroll in UTSaver voluntary retirement programs.
• Training in drone flights, lab and field sampling protocols, and use of advanced sensors and equipment.
• Opportunity to learn how to translate fundamental research into real-world applications.
• Opportunity to lead an independent research project.
• Opportunity to build data management and interpretation skills.

What This Job Offers

• Job Type: Part-time
• Career Level: Intern
• Education Level: No Education Listed