Job Information
Texas A&M University Post-Doctoral Research Associate-Agricultural Data Analytics in United States
Job Title
Post-Doctoral Research Associate-Agricultural 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
Texas A&M AgriLife Research at Corpus Christi is seeking a highly motivated scientist specializing in Data Analytics and Artificial Intelligence (AI). 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 predictive models for agriculture applications.
Duties and Responsibilities:
One of the goals of Digital Agriculture Program at Texas A&M AgriLife Research center at Corpus Christi is to develop and apply new and emerging technologies, including big data analytics, artificial intelligence (AI), remote data transfer, and cloud computing to help solve complex agricultural problems.
-The candidate will work on the synthesis, integration, and analysis of large, diverse datasets obtained from Unmanned Aerial System (UAS), Satellite imagery, ground sensors, and field measurements.
-The candidate will work on Texas Climate Smart Initiative’s measuring, monitoring, reporting and verification (MMRV) part of the project and is expected to use their expertise to develop tools for monitoring climate smart practices and develop AI models for estimating benefits of these practices using the huge amount of data generated from this project.
-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.
-The candidate should be willing to work with scientists from crop physiology, agronomy, Extension, plant breeding, mechanical engineering, and computer science fields, and is expected to work in a team and independently as needed.
-Other job related duties as needed.
Required Education and Experience:
PhD in engineering, computer science, data science, geospatial statistics, or related discipline.
Required Knowledge, Skills and Abilities:
Familiarity with remotely sensed geospatial data products (UAS and satellite imagery).Experience in building data models using Python or other statistical and/or mathematical programming packages. Proficiency in developing machine learning algorithms to analyze spatial-temporal data for predictive modeling.Strong written and oral communication skills, including a demonstrated ability to publish in high‐quality peer‐reviewed journals.
Ability to multi-task and work cooperatively with others.
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/Affirmative Action/Veterans/Disability Employer.