UNIVERSITY OF TEXAS AT AUSTIN logo

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

Part-time

UNIVERSITY OF TEXAS AT AUSTIN

Austin, TX · HybridPart-time$15/hrSeen 1 day agoSeen in employer's feed 1 day ago

Most applications go out cold — see where you stand first. No sign-up to start.

Watch jobs like this.

At a glance

Compensation
$15/hr
Location
Austin, TXHybrid
Role Type
Research
Schedule
Part-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Research Assistant will support research involving agricultural and environmental remote sensing. The work includes processing drone and satellite imagery, developing machine learning and deep learning pipelines, analyzing imagery, and assisting with lab measurements, field data collection, and drone flights. The role is based at UT Austin and field sites, with some remote work possible, and is scheduled for 10–15 hours per week during Fall 2026, with possible extension.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningDeep LearningComputer VisionLarge Language ModelsImage ProcessingData SciencePythonDatabase ExperienceSmartphone App DevelopmentWeb Development

Qualifications

Current UT StudentFirst Undergraduate Year CompletedComputer Science or Related

Full job description

include lab and field spectral measurements, drone flight assistance, remote sensing image and spectra processing, machine learning and deep learning model development, statistical analyses, and report writing. The students are required to work between 10-15 hours per week. The students are expected to work independently and under the supervision of Prof. Phuong Dao and graduate students and postdoctoral researchers in the group. The students will be trained to assist with drone flights, follow lab and field sampling protocols, and use advanced sensors and equipment in Daos research group. More details about our groups research can be found at https://daolab.weebly.comJob Responsibilities:Develop machine learning and deep learning pipelines to process drone and satellite imagery.Analyze drone and satellite imagery for agricultural and environmental applications.Help with lab spectra measurements, field data collection, and drone flights.Qualifications: Current UT student in undergraduate programs related to Computer Science, Data Science, Remote Sensing, Geospatial Science, Geography, Geosciences, and has completed the first year of an undergraduate program.Desired Skills: The student should have strong machine learning, deep learning, computer vision, large language models, image processing, and data science skills and be well-versed in Python or similar programming languages. Experience in databases and smartphone apps and web development is an advantage.What You Will Gain:Learn how to translate fundamental research into real-world applicationsLead an independent research projectMake decisions and solve problems using sound, inclusive reasoning and judgmentBuild skills related to data management and interpretationWork Schedule: Based on applicant availability. Required to work at least 10-15 hours/week.Duration: Fall 2026 (October December), with a possibility of extension to Spring 2027 and beyond.Location: UT Austin and its field sites, with the possibility of some remote workSalary: $15.00/hourRequired Application Materials:Letter of interest, state availability (dates and hours/week)CV with relevant coursework, GPA, research experienceNames and contact information of at least 2 references

Similar jobs, posted recently

Open roles like this one, listed in the last 30 days.

You've read the whole posting — now see how you match it.