The Department of Geosciences at Virginia Tech (http://geos.vt.edu) invites applications for a tenure-track faculty position in the broad area of Earth and Planetary Data Analytics. We anticipate hiring an Assistant Professor; however, candidates at a higher rank may be considered. The successful candidate will have a research and teaching portfolio centered in data science with a focus on problems in the Earth, planetary, environmental, or climate sciences. This may include the development and/or application of data analytics, machine learning, artificial intelligence, information theory or similar cutting-edge methods for making novel advances in Earth and planetary sciences.
Candidates must hold a Ph.D. in earth science, planetary science, data science, applied math,computational science, or a closely related field at the time of appointment and have demonstrated experience in the application of data analytics, analysis or machine learning, or artificial intelligence to earth or planetary science problems. Preference will be given to candidates who demonstrate: (1) a strong commitment to principles of diversity, equity, inclusion, and accessibility in research, teaching, and university service; (2) the potential to establish a strong research program and attract external funding; (3) how their teaching and mentoring will benefit our student community.
Candidates should apply online in response at Details | Assistant, Associate, or Full | Careers | Division of Human Resources | Virginia Tech
Application materials include: (1) cover letter, (2) curriculum vitae, (3) statement of research interests, (4) statement of teaching philosophy, (5) statement articulating the candidate’s vision to enhance diversity in geo- and planetary sciences, (6) one research product that illustrates the quality and potential of the applicant’s work (e.g., peer-reviewed journal article that is published or in-press), and (7) names and contact information for three references. Each statement should not exceed two pages, and the teaching statement should address both undergraduate and graduate teaching.
Review of applications will begin on December 6, 2021 with an anticipated start of employment in August 2022. The successful candidate will be required to have a criminal conviction check as well as documentation of COVID-19 vaccination or receive approval from the university for a vaccination exemption due to a medical condition or sincerely held religious belief. For further information, please contact the Chair of the Search Committee, Scott King, at firstname.lastname@example.org
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