Full-Time

Assistant Professor Forestry

Texas A&M University System

Texas A&M University System

Texas public university system

No salary listed

Temple, TX, USA

In Person

PhD

Category
Academic & Institutional Research (1)
Required Skills
Biometrics
Data Structures & Algorithms
Data Analysis
Requirements
  • A Ph.D. in an area of forest science or a closely related field by the hire date; candidates with a closely aligned degree must demonstrate a strong academic background or research program explicitly focused on forestry applications.
  • Strong knowledge of forest ecology and related fields of study.
  • Research experience in forest modeling, including expertise in biometrics and geospatial analysis.
  • Evidence of, or the ability to produce, peer-reviewed publications of original research.
  • A valid driver’s license or the ability to obtain a valid driver’s license.
  • Excellence in verbal and written communication.
  • Team-building skills, collaboration capacity, and project management abilities.
  • Strong communication skills.
  • Highly organized.
  • Professional demeanor.
  • Ability to multi-task and work cooperatively with others.
  • Ability to establish effective working relationships.
  • Knowledge and understanding of the mission and role of the Land Grant University System.
Responsibilities
  • Establish and lead a nationally recognized, externally funded, and self-sustaining research program focused on the sustainability, health, productivity, and marketability of forested landscapes.
  • Conduct research addressing forest ecosystem health and sustainability; forest management systems to produce forage for domestic livestock and wildlife; strategies to protect forested landscapes from invasive species, wildfire, pests, extreme weather events, and other destructive agents; watershed management and water quality in forested areas; forest management for recreational purposes; and utilization of non-traditional forest products.
  • Design each research initiative to assess environmental sustainability, including atmospheric emissions and soil health metrics.
  • Leverage and contribute to data, models, and algorithms sourced from government, academic, and industry partners, including collaboration with other Blackland/Grassland research teams and their national and international networks.
  • Develop and improve simulation models, secure extramural funding, train graduate students, and actively disseminate findings.
  • Publish research results in peer-reviewed journals and technical reports and share models and tools with relevant stakeholders, land managers, and the broader scientific community.
  • Engage with forest industry professionals, community service providers, and entrepreneurs, and participate in outreach activities to ensure research relevance and applicability to stakeholders.
  • Collaborate with the Texas A&M Forest Service, Texas Forestry Association, county Extension agents, statewide faculty, and other forestry professionals to support applied research and outreach addressing regional needs.
  • Contribute to programming efforts that yield tangible, measurable impacts on the economic and ecological viability of forested landscapes across the region.
  • Direct the work of support staff, technical personnel, and graduate students assigned to the project.
Desired Qualifications
  • Prior academic, post-doctoral, or professional experience.
  • Experience working with federal agencies or in other multi-agency collaborative settings.
  • Modest teaching experience that will enhance graduate student success.
  • Modest outreach experience with stakeholder interaction.
  • Grant writing experience and evidence of the ability to attract external funding.
Texas A&M University System

Texas A&M University System

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Texas A&M University System is a statewide public university system combining higher education, research, and public-service agencies. The system coordinates universities and state agencies that deliver teaching, research, extension, engineering, health, and community programs. It serves students, faculty, researchers, public agencies, industries, and communities throughout Texas. Its operating model centers on autonomous member institutions connected through system governance, shared services, public funding, and statewide missions. Teams work across instruction, research, healthcare, extension, engineering, technology, administration, facilities, and public service. Teams support coordinated daily delivery.

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