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Research Assistant – Remote Sensing, UAV/Satellite Image Processing, Computer Science
The College of Education at The University of Texas at Austin. Develop machine learning and deep learning pipelines to process drone and satellite imagery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing machine learning and deep learning models for processing drone and satellite imagery, with strong skills in Python and data science methodologies. Capable of conducting remote sensing image processing and statistical analyses while adhering to laboratory protocols.
Highest-signal resume keywords
Machine LearningDeep LearningImage ProcessingPython ProgrammingRemote Sensing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningImage ProcessingStatistical AnalysisData ScienceComputer VisionLarge Language ModelsRemote Sensing Image ProcessingField Data CollectionSpectral Measurements
Tools & Technologies
DatabasesSmartphone AppsWeb Development
Industry Keywords
Drone ImagerySatellite ImageryAgricultural ApplicationsEnvironmental ApplicationsGeospatial ScienceGeographyGeosciences
Tech Stack
Tools & technologiesPythonRemote Sensing
About the role
Key responsibilities & impact- 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 lab spectral measurements, field data collection, and drone flights
- Conduct remote sensing image and spectra processing
- Develop machine learning and deep learning models
- Perform statistical analyses and write reports
- Work independently under the supervision of Prof. Phuong Dao, graduate students, and postdoctoral researchers
- Follow laboratory and field sampling protocols
- Work at UT Austin and its field sites, with some remote work possible
Requirements
What you’ll need- Current UT student in an undergraduate program related to Computer Science, Data Science, Remote Sensing, Geospatial Science, Geography, or Geosciences
- Completed the first year of an undergraduate program
- Required to work at least 10–15 hours per week
- Strong machine learning, deep learning, computer vision, large language models, image processing, and data science skills
- Well-versed in Python or similar programming languages
- Experience in databases, smartphone apps, and web development is an advantage
- Letter of interest stating availability (dates and hours/week)
- CV with relevant coursework, GPA, and research experience
- Names and contact information of at least 2 references
- Must meet required qualifications and perform essential functions with or without reasonable accommodation
- Criminal history background check required for finalists
- Must complete the federal Employment Eligibility Verification I-9 form and present original documents proving identity and authorization to work in the United States
Benefits
Comp & perks- Students may choose to enroll in the UTSaver voluntary retirement programs
- Possibility of extension to Spring 2027 and beyond
- Training to assist with drone flights, follow lab and field sampling protocols, and use advanced sensors and equipment
- Learn how to translate fundamental research into real-world applications
- Lead an independent research project
- Build skills related to data management and interpretation
- Some remote work may be possible