Postdoctoral Researcher (Sustainable Agricultural Systems & Wastewater Management)
Tamus
·Today
- Location
- Prairie View, TX, United States of America
- Type
- Full-time
- Department
- Education
- Education
- PhD
- Closing date
- Today
- Source
- Workday
Description
Job Title
Postdoctoral Researcher (Sustainable Agricultural Systems & Wastewater Management)Agency
Prairie View A&M UniversityDepartment
Cooperative Agricultural Research CenterProposed Minimum Salary
CommensurateJob Location
Prairie View, TexasJob Type
StaffJob Description
Important Immigration information:
A Presidential proclamation issued on September 19, 2025, imposes a $100,000 fee on new H-1B petitions filed after September 21, 2025. Please be advised that Texas A&M University will NOT pay this fee. Therefore, if you need immigration sponsorship for your employment, we recommend that you consult with your private immigration counsel at your own expense to ascertain whether your current immigration status would make a potential offer of employment from Texas A&M University subject to this fee.
In addition, on January 27, 2026, Texas Governor Abbot issued a moratorium on the filing of any new H-1B unless approved by the Texas Workforce Commission. Accordingly, if you will now or in the future require sponsorship for employment visa status this moratorium may affect our ability to employ you should you be selected as the final candidate.
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The postdoctoral Researcher will join an interdisciplinary research program in livestock waste and wastewater management, focusing on developing sustainable agricultural solutions in Texas. The primary research focus includes livestock waste treatment, nutrient recovery, algae-based systems, composting, soil amendments, and the fate of manure-borne emerging pollutants in soil and water systems.
The Researcher will also have opportunities to contribute to complementary research areas such as AI/ML applications, watershed hydrology, climate-smart agriculture, and extreme event analysis (floods and droughts). The role involves addressing complex soil–water–waste interactions using experimental, field-based, and data-driven approaches.
This position is funded by a grant or restricted funds. Continued employment is contingent on the renewal of grant or restricted funding.
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:
- Supports the Principal Investigator in research on livestock waste management, nutrient recovery, algae-based systems for biofertilizer and soil health improvement, and the fate of emerging pollutants in soil and water.
- Conducts research on soil–water–waste interactions using field, laboratory, and modeling approaches, including data-driven methods such as AI/ML.
- Prepares scientific reports, peer-reviewed publications, and research proposals.
- Contributes to related efforts in watershed processes, climate-smart agriculture, and sustainable resource management.
- Participates in outreach, training, and demonstration activities; Participates in all college-wide events; presents findings at conferences and workshops; collaborates with researchers and technical staff; and mentor students.
- Supports the university’s mission of excellence in research, teaching, and service through active engagement in interdisciplinary and applied research programs.
- Performs other duties as assigned.
Required Education and Experience:
- Ph.D. in Environmental Science, Hydrology, Civil Engineering, Agricultural Engineering, Data Science, Computer Science, or a closely related field.
- No prior experience required.
Required Knowledge, Skills and Abilities:
- Demonstrated background in areas such as soil and water systems, environmental modeling, wastewater or livestock waste management, or data analytics.
- Strong quantitative and analytical skills relevant to environmental systems.
Preferred Qualifications:
- Experience with laboratory analytical techniques and/or field research design and implementation across different scales.
- Strong computational skills, including programming experience in Python, R, MATLAB, C/C++, or similar languages.
- Familiarity with artificial intelligence/machine learning and spatial and temporal data analysis.
- Experience with field and laboratory instrumentation (e.g., soil moisture sensors, data loggers, sensor networks, automated data acquisition systems).
- Demonstrated ability to publish in peer-reviewed journals or strong potential to do so.
- Excellent scientific writing and communication skills.
- Ability to work effectively in multidisciplinary teams.
- Highly motivated and capable of working independently
Job Posting Close Date:
08/31/2026
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 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 [email protected] 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.
