Note: The job is a remote job and is open to candidates in USA. Texas A&M AgriLife is a leading organization in agriculture and life sciences, seeking a highly motivated Assistant Research Scientist specializing in Geospatial Data Analytics. The role involves leading remote sensing and geospatial analytics for conservation initiatives, developing data integration systems, and collaborating with interdisciplinary teams.

Responsibilities

• 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
• The candidate will 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
• Publish peer-reviewed papers and support grant writing
• Work with scientists from crop physiology, agronomy, extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in team and independently as needed
• Mentor graduate students learning to conduct geospatial science/engineering, remote sensing
• Perform other job-related duties as assigned

Skills

• 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