Pvamu

Pvamu

Research Assistant/Associate Professor (Agro-Ecology)

Prairie View, TX · Contract

Sponsorship not specifiedDetected 1 day ago
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Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • Please be advised that Texas A&M University will NOT pay 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.
  • This position may also involve teaching, advising students, and mentoring graduate research assistants.

Responsibilities

  • Develop and submit competitive grant proposals, establish industry and research partnerships, and secure external funding to support research initiatives.
  • Collaborate with multidisciplinary researchers, including climatologists, agronomists, data scientists, hydrologists, and policy experts, to develop data-driven strategies for climate-resilient and sustainable agriculture.
  • Performs other duties as assigned.
  • Excellent communication skills, including the ability to write scientific publications, deliver presentations, and communicate research findings to a variety of audiences.
  • Ability to collaborate effectively with interdisciplinary teams and external stakeholders, including government agencies, industry partners, and the agricultural community.
  • Strong project management, organizational, and leadership skills, with the ability to manage multiple research projects and funding portfolios.
  • Ability to establish collaborative partnerships and maintain effective professional relationships with students, faculty, and external stakeholders.
  • The Research Assistant/Associate Professor in Agro-ecology will lead advanced research and project initiatives focused on natural resources and environmental sciences (NRES) and agricultural systems.

Requirements

  • Any additional attachments provided outside of the required documents listed below are considered optional.
  • All applicants are required to apply via our Career Site on or before the closing date indicated on the job posting.
  • 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.

Nice to have

  • At least five years of research experience in Natural Resources and Environmental Sciences, ecology, modeling, AI/ML and data science.
  • Proven experience in securing extramural grant and leading research projects.
  • Proven record of peer-reviewed publications in Natural Resources and Environmental Sciences (NRES), ecology, modeling, AI/ML and data science.
  • Experience in teaching undergraduate and graduate courses.
  • Background in Geospatial Technology, AI/ML and NRES research.
  • Other Requirements:
  • May work on weekends or in various weather conditions.
  • Job Posting Close Date:

Skills

  • Ability to apply machine learning and artificial intelligence tools and techniques to address critical issues of agriculture and NRES.
  • Demonstrated ability to contribute to the University's land-grant mission through integrated research, teaching, and outreach activities.

Compensation

  • Proposed Minimum Salary

Benefits

  • 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.
  • Proven track record of peer-reviewed publications in fields related to agro-ecology, soil health, natural resources and environmental sciences (NRES), and greenhouse gas analysis.
  • Lead and conduct research on agricultural greenhouse gas emissions, agro-ecological variables, soil health, crop productivity, climate extremes, soil amendment technologies, and mitigation strategies.

Visa & Work Authorization

  • 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.

This listing is sourced directly from Pvamu's careers page and normalized into a canonical job model.