Drone Imaging & ML Research Assistant (Remote)

University of Texas at Austin; United States; Hybrid; USD 17,000 - 24,000; Part time

Job summary

The Dao Lab at UT Austin is seeking Undergraduate Research Assistants/Interns to develop ML/DL methods for drone and satellite data used in agricultural and environmental projects.

Responsibilities include lab and field spectral measurements, drone flight support, imagery processing, model development, and report writing under supervision of Prof. Phuong Dao and team. Remote work possible for some tasks.

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.
• 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.

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.

Skills

Machine learning

Deep learning

Computer vision

Large language models

Image processing

Data science

Python

Education

Undergraduate student (first year completed)

Tools

Python

Databases

Web development

Mobile apps

Job description

The Dao Lab at UT Austin is seeking Undergraduate Research Assistants/Interns to develop ML/DL methods for drone and satellite data used in agricultural and environmental projects.

Responsibilities include lab and field spectral measurements, drone flight support, imagery processing, model development, and report writing under supervision of Prof. Phuong Dao and team. Remote work possible for some tasks.