Assistant Research Scientist - Remote Sensing​/Geospatial Data Analytics

## Assistant Research Scientist - Remote Sensing/Geospatial Data Analytics Apply locations:
Corpus Christi, TXtime type:
Full time posted on:
Posted Todayjob requisition :
R-094059
** 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 Agri Life
** Texas A&M Agri Life is comprised of the following Texas A&M University System members:
* Texas A&M Agri Life Extension Service
* Texas A&M Agri Life 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 Agri Life 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 Agri Life is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.

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** Position Information
** Texas A&M Agri Life 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 Agri Life 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 Agri Life 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 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…