Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics
Role details
Job location
Tech stack
Job 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.
- 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.
Requirements
Do you have experience in Simulation systems?, Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Geospatial Data Analytics to work with the Digital Agriculture team. This position complements the strengths of Texas A&M AgriLife Research unit at Corpus Christi in Digital Agriculture. The incumbent is expected to work with a team of transdisciplinary scientists to develop near to develop multi-modal data pipelines for decision support systems., * 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 & conditions
Pulled from the full job description
- Vision insurance
- Dental insurance
- Paid sick time
- Disability insurance
- Paid holidays, Salary: Compensation for this position is commensurate based on the selected candidate's qualifications.
Why Work at Texas A&M AgriLife?
When you choose to work for Texas A&M AgriLife, you become part of an organization that is an established leader in agriculture and life sciences with a wide range of capabilities to meet the needs of our statewide, national, and international constituents.
In addition, Texas A&M AgriLife offers a comprehensive benefit package including the following:
- 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