Texas A&M AgriLife Research is seeking an Assistant Research Scientist to advance climate-smart agricultural practices. In this role, you will integrate remote sensing, soil and crop modeling, and greenhouse gas monitoring, contributing to research, outreach, and mentoring within the Agroecology Laboratory.

What You'll Do

Design, conduct, and lead research projects focused on climate-smart agricultural practices.
Collect, process, and analyze large datasets from field and satellite sources.
Interpret results, prepare technical reports, and contribute to peer-reviewed publications and funding proposals.
Develop outreach materials, presentations, and decision-support tools to communicate findings to producers, stakeholders, and extension personnel.
Organize and participate in producer field days, workshops, and scientific meetings.
Collaborate with state and regional partners to advance adoption of sustainable agricultural practices.
Mentor graduate students and research technicians in data analysis, field methods, and scientific communication.
Oversee laboratory organization, safety, and standard operating procedures.
Coordinate data management, documentation, and quality assurance activities.
Assist in developing competitive grant proposals and project reports.
Coordinate with multidisciplinary research teams and external collaborators to ensure project milestones are met.
Perform other related duties and responsibilities as directed to support the mission of Texas A&M AgriLife Research.

What We're Looking For

Ph.D. in agronomy, remote sensing, soil science, environmental science, or a related discipline.
Good communication and computer skills.
Ability to multi task and work cooperatively with others.

Nice to Have

Experience conducting research in agronomy, soil science, environmental science, or related fields.
Experience in remote sensing, geospatial analysis, or modeling of agricultural or environmental systems.
Record of publication in peer-reviewed scientific journals.
Experience working collaboratively in multidisciplinary teams.
Experience with greenhouse gas measurements, eddy covariance, or soil gas flux systems.
Experience managing and analyzing large datasets using programming languages such as R or Python.
Experience in outreach, stakeholder engagement, or extension-type activities.
Experience mentoring graduate students or supervising technical staff.
Experience writing grant proposals and managing research projects.
Experience integrating field data with remote sensing or modeling approaches.