Assistant Teaching Professor - Quantitative Methods and Data Science Environmental Studies

UC Santa Barbara seeks an Assistant Teaching Professor in Quantitative Methods and Data Science for Environmental Studies, starting July 1, 2025. This tenure-track position involves teaching seven courses per year, including quantitative reasoning and environmental statistics, while fostering inclusive learning environments. The ideal candidate will develop courses on topics like geospatial analysis and data visualization, contributing to the academic community's diversity and excellence. Salary ranges from $60K to $80K annually.
Position: Assistant Teaching Professor - Quantitative Methods and Data Science for Environmental Studies
Location: California

The Environmental Studies Program at the University of California, Santa Barbara invites applications for an Assistant Teaching Professor (tenure track), to start July 1, 2025 or later. We seek a passionate instructor with demonstrated expertise in the use and teaching of quantitative analysis and data science tools to study the environment.

An Assistant Teaching Professor is a tenure-track faculty member whose primary responsibilities are teaching and pedagogical innovation. Other responsibilities include advising, academic program development, professional and/or scholarly activity, especially as they relate to instruction and pedagogy, and department, University and/or public service. Faculty in the Teaching Professor series are expected to maintain a continuous and current command of their subjects. They should, among other things, demonstrate the ability to foster inclusive, stimulating, and effective learning environments.

Specific areas of expertise are open but should involve the application of quantitative and data science methods to study environmental challenges and solutions. The successful candidate will teach the equivalent of seven, quarter-long courses per year, including an introductory course in quantitative reasoning, as well as an upper division course in environmental statistics. The instructor will have the opportunity to develop further courses that align with their areas of specialization.

These courses might cover topics such as geospatial analysis, programming, data science, data visualization, and/or machine learning. The ideal candidate would be excited to lead the coordination of quantitative curricular offerings across the department to ensure a more holistic and rigorous sequence of courses that empowers our undergraduate BA and BS majors to build proficiency in quantitative and data science techniques.

The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service as appropriate to the position.
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