Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics

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

Job Description

About Texas A&M AgriLife

Texas A&M AgriLife is comprised of the following Texas A&M University System members:

• Texas A&M AgriLife Extension Service
• Texas A&M AgriLife Research
• College of Agriculture and Life Sciences at Texas A&M University
• Texas A&M Forest Service
• Texas A&M Veterinary Medical Diagnostic Laboratory

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:

- 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.

Required Qualifications:

- 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 d