Postdoctoral Researcher (PIER - Environmental Data Science and Artificial Intelligence)

Job Title

Postdoctoral Researcher (PIER - Environmental Data Science and Artificial Intelligence)

Agency

Prairie View A&M University

Department

College Of Engineering

Proposed Minimum Salary

Commensurate

Job Location

Prairie View, Texas

Job Type

Staff

Job Description

The Postdoctoral Researcher will develop and apply AI and data analytics tools to integrate and interpret complex environmental datasets for sustainable resource management. The position will develop predictive frameworks that connect field observations, remote sensing, and modeling to inform decisions on water, soil, plant, and energy systems at multiple scales.

The appointment is a one-year, full-time position in residence at Prairie View A&M University. The university retains the option to renew the appointment for a second year based on performance, research progress, and availability of funding. The maximum term is two years.

 

This position is funded by restricted funds or a grant. Continued employment is contingent upon the renewal of restricted or grant funds.

The salary is determined in accordance with the University’s compensation structure and will be commensurate with the candidates’ education and experience, within the assigned salary range for this position. ​

Responsibilities:

• Develop an Integrated Environmental Data Repository combining soil, water, vegetation, energy, crop production, and atmospheric datasets.

• Apply AI algorithms for environmental pattern detection and forecasting, including drought severity, vegetation stress, crop yield, and water contamination.

• Construct predictive models to support sustainable resource management and decision-making.

• Collaborate closely with the FEW Systems Postdoctoral Associate to link data analytics with field pilot systems and sustainability metrics.

• Contribute to proposal development, peer-reviewed publications, and interdisciplinary grant initiatives.

• Teach one to two courses in the combined specialization related to one of the above-stated expertise's.

• Engage students and community partners through data literacy and sustainability workshops.

• Performs other duties as assigned.

Required Education & Experience:

• Ph.D. in Environmental Data Science, Geospatial Analytics, Computer Science (AI/ML), or a closely related field (earned within the past three years).

• Demonstrated experience in AI, predictive modeling, and environmental data systems.

• Strong programming skills in Python, R, or MATLAB, and familiarity with AI frameworks such as TensorFlow or PyTorch.

• Excellent teamwork and communication skills with evidence of interdisciplinary collaboration.

 

Preferred Qualifications:

• Experience managing environmental data repositories or cloud-based data infrastructures.

• Familiarity with remote sensing platforms, environmental modeling, or data fusion techniques.

• Record of publications in environmental analytics or sustainability modeling.

• Interest in applying AI tools to climate equity and limited-resource community resilience.

Job Posting Close Date:  

• 01/18/2026 

 

Required Attachments: 

Please attach all required documents listed below in the attachment box labeled as either “Resume/CV or Resume/Cover Letter” on the application. Multiple attachments may be included in the “Resume/CV” or Resume/Cover Letter” attachment box.  Any additional attachments provided outside of the required documents listed below are considered optional. 

• Resume or Curriculum Vitae 

• Cover Letter 

 

Application Submissi