Organization: William & Mary
Title: Visiting Instructor or Visiting Assistant Profess of Data Science with emphasis on Geospatial Analysis
Location: William & Mary
Visiting Instructor or Visiting Assistant Professor of Data Science with emphasis on Geospatial Analysis
Unit Mission Statement William & Mary is a public institution with approximately 6300 undergraduates and 2100 graduate students, with a strong liberal arts tradition and a commitment to teaching excellence.
The Data Science unit is the home of teaching, research and outreach activities in Data Science, while the
Center for Geospatial Analysis is focusing on a subset of these activities that relate to the many forms and uses of geospatial information.
Position Summary: The Data Science unit at William & Mary invites applications for an one-year, non-tenure eligible Visiting Instructor or Visiting Assistant Professor of Data Science with emphasis on Geospatial Analysis, beginning August 10, 2022. We are seeking a colleague with a commitment to excellence in teaching with the ability to attract, motivate, retain, and mentor students. The position carries a load of six courses for academic year 2022-23 (three per semester).
Four of these courses will be taught for the Center for Geospatial Analysis. Courses will include an Introduction to Geographic Information Systems and additional courses that could include an Introduction to Remote Sensing, Advanced Topics in GIS, Python for GIS Scripting and Digital Cartography depending on the expertise of the successful applicant.
Two additional courses will be taught as a part of the Data Science unit at William & Mary. The successful applicant will illustrate an ability to teach students a breadth of methodological approaches to the use of data in a coding environment, as well as facilitate discussions on the societal implications of “big spatial data.”
Information on the Data Science unit may be found at https://ds.wm.edu and information on the Center for Geospatial Analysis may be found at https://www.wm.edu/as/cga/.
William & Mary is located in Williamsburg, Virginia, convenient near Richmond (the state capital) and Washington, DC.
For questions please contact Anthony Stefanidis, Director of Data Science (email: [email protected]).
Required Qualifications Required Proficiency in ESRI GIS products (e.g., ArcGIS, ArcPro and ArcGIS
Online). An M.S. degree in a related field is the minimum requirement.
Preferred Qualifications ABD or Ph.D. in a related field is preferred by the time of appointment. Prior university teaching experience and/or applied experience outside of academic settings is also preferred. Expertise with R or Python is preferred.
Applicants must apply online at https://jobs.wm.edu. Submit a curriculum vitae, a cover letter, a statement describing previous professional experience or future plans (or both) that demonstrate a commitment to diversity and inclusion, a statement of teaching experience and interests. You will be prompted to submit online the names and email addresses of three references who will be contacted by the system with instructions on how to submit a letter of reference.
For full consideration, submit application materials by the review date from live posting. Applications received after the review date will be considered if needed.
William & Mary values diversity and invites applications from underrepresented groups who will enrich the research, teaching and service missions of the university. The university is an Equal Opportunity/Affirmative Action employer and encourages applications from women, minorities, protected veterans, and individuals with disabilities. William & Mary conducts background checks on applicants for employment.
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