[ES_JOBS_NET] aded Postdoctoral Researcher (PIER - Environmental Data Science and Artificial Intelligence), Prairie View A&M University

[Christine Wiedinmyer]

https://tamus.wd1.myworkdayjobs.com/en-US/System-wide_External/job/Prairie-View-TX/Postdoctoral-Researcher--PIER---Environmental-Data-Science-and-Artificial-Intelligence-_R-089857

aded
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
Adloc Cooperative Agriculture And Research Center

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). Candidates that have finished all required coursework and exams
   but have not completed or defended their final dissertation may be
   considered but must have a conferred Doctoral Degree at the time of
   appointment.
   -

   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:

   -

   Until Filled



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 Submission Guidelines:



All applicants are required to apply via our Career Site on or before the
closing date indicated on the job posting. Applicant inquiries received via
email and websites such as Indeed, HigherEdJobs, etc. will not be
considered unless the individual has applied to the available position via
the PVAMU Career site.



The required documents listed in the above "Required Attachments" section
must be attached to the application prior to the job closing date indicated to
ensure full consideration for the application submitted. Please contact the
Office of Human Resource on or before the closing date indicated above at
936-261-1730 or jobs at pvamu.edu should you need assistance with the online
application process.



Background Check Requirements:

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.
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