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Geoai Jobs in Texas (NOW HIRING)

Lumen Solutions Group Inc.

ArcGIS Architect

Austin, TX · On-site

$62.50 - $82.25/hr

... GeoAI for spatial data analysis and prediction and/or generative AI to enhance geospatial analytics platforms. • Experience with Snowflake Data Warehouses, especially as a source/target for ArcGIS ...

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Geoai information

What is GeoAI?

GeoAI, or Geographic Artificial Intelligence, refers to the integration of artificial intelligence (AI) techniques with geographic information systems (GIS) and spatial data. GeoAI leverages machine learning, deep learning, and other AI methods to analyze and interpret geospatial data, such as satellite imagery, maps, and sensor data. This technology is used in a variety of fields including urban planning, environmental monitoring, disaster response, and transportation. By automating the analysis of large and complex spatial datasets, GeoAI helps organizations make more informed decisions and discover patterns that would be difficult to detect manually.

What are the key skills and qualifications needed to thrive as a GeoAI specialist?

To thrive as a GeoAI Specialist, you typically need a background in geospatial science, data analysis, and machine learning, often supported by a degree in GIS, computer science, or a related field. Familiarity with tools such as Python, ArcGIS, QGIS, and machine learning libraries like TensorFlow or PyTorch is essential, along with experience using spatial databases. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These abilities are crucial for leveraging AI to extract actionable insights from geospatial data, enabling data-driven decision-making and innovation.

How do GeoAI professionals typically collaborate with domain experts like urban planners or environmental scientists?

GeoAI professionals regularly work alongside domain experts such as urban planners, environmental scientists, and policy analysts to ensure that spatial data analyses and AI-driven insights are relevant and actionable. Collaboration often involves joint project meetings, data sharing, and iterative feedback loops to refine models and interpret results in the context of real-world applications. This interdisciplinary teamwork helps translate complex geospatial data into practical solutions for urban development, resource management, and disaster response. Effective communication and a willingness to learn from other fields are key to success in these collaborative environments.

What are popular job titles related to Geoai jobs in Texas?

For Geoai jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Geoai jobs in Texas look for?

The top searched job categories for Geoai jobs in Texas are:

What cities in Texas are hiring for Geoai jobs?

Cities in Texas with the most Geoai job openings:

Geoai jobs near you
Infographic showing various Geoai job openings in Texas as of August 2026, with employment types broken down into 2% Internship, 92% Full Time, and 6% Contract. Highlights an 88% Physical, 6% Hybrid, and 6% Remote job distribution.

POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934

Dallas, TX • On-site

UT Southwestern Medical Center
Hospitals • 10K+ employees

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

106th of 894 rated healthcare providers

People enjoy working here

Good employer

Recommended by students

Learn more about UT Southwestern Medical Centerexternal

Full-time

Re-posted 8 days ago

Job description

Description
POSTDOCTORAL RESEARCHER - We invite applications for a Postdoctoral Researcher position focused on applying LLMs and GeoAI in geospatial health data analysis. This position will involve training and fine-tuning LLMs and GeoAI models to analyze geospatial health datasets on different topics (e.g., HIV, cardiology, and cancer) from various data sources (e.g., longitudinal health surveys, Electronic Health Record, open data). The successful candidate will also help develop an LLM-based spatial analysis tool, promote its use by public health researchers and practitioners, and assess the tool's acceptability and feasibility.
Description of Duties and Responsibilities:
• Train and fine-turning LLMs and GeoAI models for geospatial health data analysis.
• Develop an LLM-based spatial analysis tool and assess its acceptability and feasibility.
• Collaborate with experts in epidemiology, health data science, and computer science.
• Prepare manuscripts for peer-reviewed journals.
• Present research at academic conferences.
• Assist and develop new grant proposals on related topics for submission to funding agencies.
• Mentor graduate students in the research team.
Term: One year with potential extension based on performance and funding availability
Visa sponorship: J-1 if needed
Qualifications
Required Qualifications:
• A Ph.D. in Computer Science, Health Informatics, Geospatial Data Science, Statistics, or a related field.
• Strong background in (geospatial) AI and generative AI/LLM.
• Strong R or Python programming skills.
• Proven ability to publish in high-impact academic journals.
• Strong written and oral communication skills.
Desired Qualifications
• Experience with GeoAI applications in Street View Images and Remote Sensing
• Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization
• Knowledge of spatial epidemiology
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references.

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