Assistant Research Scientist – Remote Sensing, Geospatial Data Analytics

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🔥 7 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🗺️ GIS

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Texas A&M University System

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1876

📚 Education

🔬 Science

🤝 Non-profit

Education • Science • Non-profit

Texas A&M University System is a network of higher education institutions and agencies focused on providing quality educational programs, research initiatives, and public service. It includes eleven universities, research facilities, and various agencies dedicated to enhancing the educational landscape in Texas. The System emphasizes innovation and community engagement while addressing critical societal issues through its educational and research programs.

📋 Description

• Lead the remote sensing and geospatial analytics component of the Texas Conservation & Sustainability Initiative (TCSI)-monitoring, measuring, reporting and verification (MMRV) component of the project and is expected to use their expertise on remote sensing and AI to develop MMRV tools for assessing conservation outcomes using the huge amount of data generated from this project • Work on the synthesis, integration, and analysis of large datasets obtained from remote sensing platforms such as Satellite imagery, online databases, and ground sensors and develop pipelines for multi-source data integration systems in agriculture • Publish peer-reviewed papers and support grant writing • Support projects on the development of digital twin systems, models, and user interfaces for visualizations, mapping, predictions, and prescriptions • Mentor graduate students learning to conduct geospatial science/engineering, remote sensing • Perform other job-related duties as assigned

🎯 Requirements

• Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline • Relevant professional experience • Experience in processing, analyzing, and modeling remote sensing data, particularly satellite imagery (optical and radar/SAR) • Proficiency in artificial intelligence, machine learning, and geospatial data analytics • Experience with cloud computing platforms, geospatial databases, and large-scale data processing workflows is desirable • Strong written and oral communication skills, including a demonstrated ability to publish in high‐quality peer‐reviewed journals • Ability to work collaboratively in interdisciplinary research environments and contribute to team-based projects

🏖️ Benefits

• Health, dental, vision, life and long-term disability insurance with Texas A&M AgriLife contributing to employee health and basic life premiums • 12-15 days of annual paid holidays • Up to eight hours of paid sick leave and at least eight hours of paid vacation each month • Automatic enrollment in the Teacher Retirement System of Texas • Employee Wellness Initiative for Texas A&M AgriLife