North Carolina State University — Data Science Education Postdoctoral Scholar

Data Science Education Postdoctoral Scholar

NC State University

Data Science Academy (DSA)

Raleigh, NC

Description: The NC State University Data Science Academy (DSA) is hiring a cohort of four postdoctoral fellows for two year appointments funded by the National Science Foundation. A primary goal of the DSA is to broaden participation in data science and to enhance data science across the whole university. We, along with the university, champion a culture of equity, diversity, inclusion, and belonging and are seeking a postdoctoral cohort that supports this mission who have varied backgrounds, professional experience and research interests to engage in Data Science education research focused on the DSA All-Campus Data Science Accessible Project-based Teaching and Learning (ADAPT) course design model. Postdocs will be mentored by a group of professors with varied backgrounds, professional expertise and research interests. Applicants who support the mission of equity, diversity, inclusion, and belonging and applicants who have limited experience in either data science education or education research are encouraged to apply.

Link to Apply:

NC State University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, gender identity, age, sexual orientation, genetic information, status as an individual with a disability, or status as a protected veteran. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-515-3148 to speak with a representative at the Office of Institutional Equity and Diversity.
Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit.
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