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Assistant Professor, Teaching Track, in Data Science

University of Washington

University of Washington


Application Deadline: 25 October 2024


The University of Washington Information School (iSchool) seeks an Assistant Teaching Professor in Data Science. This position will be expected to teach primarily in our Informatics program, which includes the study, design, and development of information technology for the good of people, organizations, society, and the environment. 

 

We encourage applicants from all disciplines related to Data Science, including social and behavioral science, healthcare, computer science and engineering, and information and library sciences. This position will be expected to teach in one or more of the following areas:

           

  • Data Visualization

  • Artificial Intelligence       

  • Applied Data Science including Business Intelligence, Machine Learning, Deep Learning

  • Networking and Cloud Privacy in Data Science

  • Data Engineering 

           

The successful candidate will be expected to engage in teaching that demonstrates how technology can be designed to minimize and mitigate its harm to people, societies and the environment (e.g., via inaccessible user interfaces, exclusionary data schemas, misleading data visualizations, exploitative data collection practices, learned discrimination in machine learning). 

                    

Teaching professors are an integral part of the faculty of the iSchool. We provide mentorship, a career path, and opportunities for leadership in the school. This is a full-time appointment at the rank of Assistant Teaching Professor. University of Washington teaching professors engage in teaching, mentorship, and service. This position includes faculty voting rights but is not tenure eligible. The University of Washington is on the quarter system (autumn, winter, spring) and teaching professors typically teach two courses per quarter (6 courses over 9 months) with summers off. Opportunities for summer teaching are often available.      

      




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