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Statistical Computing Teaching Postdoctoral Associate
Job Description
| Position ID: | Duke -StatSci -SCTPA [#24850] |
| Position Title: | |
| Position Type: | Postdoctoral |
| Position Location: | Durham, North Carolina 27708, United States [map ] |
| Subject Area: | Statistics |
| Appl Deadline: | 2023/05/29 11:59PM (posted 2023/05/15, listed until 2023/11/15) |
| Position Description: | Apply |
| The Department of Statistical Science at Duke University is inviting applications for a Postdoctoral Associate to work in statistics and data science education under the direction of Professor of the Practice Mine Çetinkaya-Rundel and Associate Professor of the Practice Colin Rundel with a start date of July 1, 2023 (negotiable). The successful applicant will have strong skills in teaching statistics and data science as well as strong interests in developing pedagogy for teaching computational foundations and methods in statistics and data science. Experience teaching with both R and Python is strongly preferred. Applicants should be prepared to offer courses in computational methods for statistics and data science at the undergraduate and graduate (MS) level. Responsibilities include teaching two courses per year, contributing to development of open educational resources, and research in statistics and data science pedagogy. Applicants must have completed their Ph.D. in Statistics, Biostatistics, Data Science, or a closely related field prior to the date of appointment. Applicants should upload their CV, a teaching statement (outlining their teaching philosophy, interests, and experience), a research statement, and contact information for at least three references to AcademicJobsOnline.org (https://academicjobsonline.org/ajo/jobs/24850 ). All applications received by May 29th, 2023 will be fully considered, and the position will remain open until filled. The appointment will be for a two-year contract. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. |
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