We are in search of a colleague who is excited about teaching and helping students learn. We are interested in candidates who can teach in one or more of the areas of data science, computer science, or information systems. We have several broad areas of interest, including but not limited to software development, data science and big data. A record of teaching effectiveness and/or relevant industry experience is expected.
In the role of Teaching Post-Doc, the successful candidate will have the responsibility to teach 3 courses over the span of the academic year 2020-2021. The candidate will have the opportunity to work with learning science experts at CMU’s Eberly Center to develop evidence based pedagogical approaches.
We welcome applications with a Ph.D. in Computer Science, Information Systems, or a closely related field. ABD candidates nearing completion of their degrees may be considered for conditional appointment.
A complete application packet will include the following: cover letter; Curriculum Vitae; a statement of teaching philosophy; contact information for three or more references; and any additional supporting documentation which may include evidence of teaching effectiveness and/or representative of scholarly work.
Review of applications will begin immediately and continue till the position is filled.
About Carnegie Mellon University
Carnegie Mellon University is a research and education leader in the intersection of technology, organizations, and society. We prepare students to creatively identify and analyze data to form actionable insights, to develop information technology to support mission objectives, to maintain high levels of information security, and to lead change in managerial and policy contexts. Carnegie Mellon University is multidisciplinary to the core, and the Information Systems programs draw from the best of our Heinz College and Dietrich College. As a community, we are grounded in real-world problem solving, drive innovation, nurture diversity, and develop compassionate leaders.