Assistant Professor, Teaching Track, in Data Science

About the role

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.

Responsibilities

• Teach primarily in the Informatics program, focusing on areas such as Data Visualization, Artificial Intelligence, Applied Data Science, Networking and Cloud Privacy in Data Science, and Data Engineering.
• Engage in teaching that demonstrates how technology can be designed to minimize and mitigate its harm to people, societies, and the environment.
• Participate in mentoring and providing career guidance to students.
• Contribute to the school's leadership and service activities.

Requirements

• PhD in a relevant field such as Data Science, Computer Science, Information and Library Sciences, or a related discipline.
• Experience in teaching and mentoring students.
• Strong background in Data Science, including knowledge of Data Visualization, Artificial Intelligence, Applied Data Science, Networking and Cloud Privacy, and Data Engineering.
• Ability to teach effectively in a diverse educational setting.

Qualifications

• Commitment to teaching and engaging in teaching that promotes social justice and equity.
• Experience working with diverse student populations.
• Excellent communication and interpersonal skills.

Skills

• Effective teaching and mentoring skills.
• Experience with data science methodologies and technologies.
• Ability to work collaboratively with colleagues and students.

Benefits

• Mentorship and career development opportunities.
• Career path within the iSchool.

Pay

• This is a full-time appointment at the rank of Assistant Teaching Professor.

Schedule

• The University of Washington operates on a quarter system (autumn, winter, spring), with teaching professors typically teaching two courses per quarter (6 courses over 9 months).
• Opportunities for summer teaching are often available.