Collegiate Assistant Professor, Environmental Informatics

Blacksburg, VA
Commensurate with education and experience
January 08 2019
Posting number TR0180206
Position Type
Full Time
Organization Type
Job Type

The Department of Forest Resources and Environmental Conservation at Virginia Tech seeks applicants for a collegiate assistant professor position in the area of Environmental Informatics. Collegiate faculty members have a primary commitment to the instructional mission of the department, including undergraduate teaching, curricular and program development, and the design and integration of innovative and inclusive pedagogy. Candidates for this position should provide evidence of potential leadership in promoting teaching excellence and enhancing curricula.

The individual will be a core member of the faculty team responsible for teaching in our Environmental Informatics major. This teaching role includes four undergraduate courses: Digital Planet, Introduction to Environmental Informatics, Information Technologies for Natural Resources Management, and a senior-level experiential learning course in environmental informatics. More information about these courses can be found in the undergraduate catalog ( Additional responsibilities will include: engaging in curricular updates and course transformations, mentoring undergraduate students majoring in environmental informatics, and fostering diversity and an inclusive atmosphere in the curriculum and department. The candidate is expected to remain current in environmental informatics and related fields, and to serve on departmental, college, or university committees as a contributing member of the department and the broader university community.

The collegiate faculty rank is a non-tenure-track position that offers a clear promotion path through assistant, associate, and professor levels. Appointment at the collegiate assistant professor rank is for three years and renewable without limit. With promotion to associate or professor collegiate ranks, contracts are renewable without limit with increasingly longer-term appointments. Collegiate faculty are full members of the department faculty, and are expected to participate in department and professional service. Collegiate faculty members may conduct research on the scholarship of teaching and learning and/or on disciplinary topics and present their findings in professional venues, but there are no expectations for an extensive research program as is typical of tenure-track faculty appointments.

Required Qualification

  • Ph.D. with emphasis on applications of environmental analytics to forest and/or other ecosystem sciences and management 
  • Demonstrated commitment to teaching excellence through experience and/or training with strong promise for being a leader in the instructional mission

Preferred Qualifications

  • Expertise in geospatial analysis and data science for forest and/or other environmental applications with a record of research achievements
  • Demonstrated ability in the design and integration of innovative and inclusive pedagogy including experiential learning opportunities
  • Vision, creativity, and leadership skills relevant to instruction and technology related to instruction
  • Scholarship in the area of pedagogy
  • Experience in mentoring undergraduate students

Candidates must apply online at, posting #TR0180206.
Application materials should include the following information: 

  • Curriculum vitae
  • Cover letter expressing a statement of interest in the position
  • Statement of teaching experience, philosophy and interests
  • Statement of experiences and interests in the field of Environmental Informatics
  • Names, titles, and complete contact information for three references

An official transcript for highest degree earned is required prior to the start of employment for the selected candidate.

Questions and inquiries may be addressed to Dr. Kevin McGuire (, Search Committee Chair.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.