Job Title
Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics
Agency
Texas A&M Agrilife Research
Department
Corpus Christi
Proposed Minimum Salary
Commensurate
Job Location
Corpus Christi, Texas
Job Type
Staff
About Texas A&M AgriLife
Texas A&M AgriLife is comprised of the following Texas A&M University System members:
As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System. With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
Click here to learn more about how you can be a part of AgriLife and make a difference in the world!
Position Information
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.
One of the goals of Digital Agriculture Research Lab at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.
Responsibilities:
- L ead 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.
Required Qualifications:
- Ph.D. in Remote Sensing, Geospatial Science, Computer Engineering, Data Science or a closely related discipline
- Relevant professional experience.
- E xperience 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
What You Need to Know
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:
Applicant Instructions
Applications received by Texas A&M AgriLife must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to prepopulate the online application.
All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.
Equal Opportunity/Veterans/Disability Employer.
