The Department of Environmental Sciences (EVSC) and the School of Data Science (SDS) at the University of Virginia invite applicants for an Assistant Professor in the area of environmental data science. We seek applicants whose research and teaching focus on advancing knowledge of environmental systems and solving problems of societal relevance using novel approaches to the data cycle. Approaches of interest include, but are not limited to, data acquisition, analytical workflows, and data-driven computational methods (e.g. machine-learning, statistical or simulation approaches). The ideal candidate is data-oriented, has a track record of open collaborative, cross-disciplinary work, and holds a PhD or equivalent in a relevant field. This position is open to all areas of the environmental sciences, prioritizing data science research and teaching in the domains of ecology, hydrology, atmospheric sciences, or geosciences.
The successful candidate will be cross-appointed in Environmental Science and Data Science and is expected to develop an externally funded and internationally recognized research program, manage and mentor a diverse research group, and teach undergraduate and graduate courses. They will take a central role that bridges and leverages research strengths between both programs and will incorporate data science computation in the undergraduate and graduate curriculum. Opportunities for collaboration/affiliation with other units in the University include the Environmental Resilience Institute and the Department of Engineering Systems and Environment. Environmental Resilience, and Digital Technologies and Society have been named as two of the five priority initiatives in the new University Strategic Plan, emphasizing the importance of this collaboration.
EVSC, in the College of Arts and Science, was formed in 1969, with research and teaching interests that span ecology, hydrology, atmospheric science, and geoscience (https://evsc.as.virginia.edu/research). The School of Data Science is the 12th and newest school at the University of Virginia, formed with the largest gift in the University’s history. The School covers all aspects of the data life cycle and emphasizes interdisciplinary, open, ethical research and education that address societal challenges. Environmental Data Science is one of the priority areas for the School.
Please apply online at https://uva.wd1.myworkdayjobs.com and attach the following required applicant documents:
1- A cover letter, two-page maximum, including a summary of research interests and accomplishments, and potential collaborations within UVA.
2- A detailed curriculum vitae, including a link to a full ORCID Profile.
3- A one-page summary of your five-year research plan.
4- A one-page statement of teaching philosophy.
5- A one-page statement describing your experience working with a diverse student body, as well as your past, present, and/or future contributions to creating/advancing a culture of diversity, equity and inclusion.
Please note that multiple documents can be uploaded in the link referenced above.
Review of applications will begin on December 15, 2022, but the position will remain open until filled.
The University will perform background checks on all new faculty hires prior to making a final offer of employment.
For questions about the application process, please contact Rich Haverstrom, Faculty Search Advisor, at firstname.lastname@example.org.
The University assists UVA faculty spouses and partners seeking employment in the Charlottesville area. To learn more about these services, please see http://provost.virginia.edu/dual-career.
COVID Vaccination Requirement and Guidelines
Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.