WATS is Hiring For Two Tenure-Track Assistant Professor Positions
The Department of Watershed Sciences at Utah State University is seeking applications for a full-time 12-month tenure-track Assistant Professor Extension Specialist position in Climate Resiliency and a full-time 9-month tenure-track Assistant Professor position in Climate Data Analysis.
Assistant Professor, Climate Resiliency Extension Specialist
We seek an individual with expertise in climate mitigation, adaptation, and resilience science alongside a depth of knowledge in any related natural resource management field (e.g., water resources and conservation, water quality, aquatic ecology, fish ecology, fisheries management, plant, riparian, and wetland management, biogeochemistry). Successful candidates must have a commitment to stakeholder engagement, co-production of knowledge, collaborative decision-making, teamwork, and communication, as well as strong interpersonal skills. We are particularly interested in innovative candidates committed to helping natural resource managers adapt to and mitigate climate change impacts. The primary clientele for this Extension Specialist will be local, federal, and state agency staff and/or industry partners charged with managing natural resources in Utah and throughout the Intermountain West.
The position consists of 60% extension, 30% research, and 10% service, with an anticipated start date of August 1, 2022.
Assistant Professor, Climate Data Analysis
We seek an engaging educator and researcher with the technical proficiency and broader conceptual awareness of climate science who can help position and adapt watershed science research and management within the realities of the climate emergency. Other valuable characteristics include experience working with large, multi-dimensional data (e.g., netCDF, HDF, GRIB, TIFF), climate model outputs (i.e., CMIP GCMs, downscaled data), translating gridded climate data into other formats for hydroclimate and ecological analysis, uncertainty and risk quantification, meteorological station time series data, and/or making climate data tools for policymakers and decisionmakers. Other preferred characteristics include proficiency in Python and/or R, strong data visualization and communication skills, and experience leading collaborative efforts
The position consists of 60% teaching, 30% research, and 10% service, with an anticipated start date of August 1, 2022.
Review of applications begins October 4. Open until filled.