Data Science Education Postdoctoral Scholar

$70,000 yearly
  • North Carolina State University, Data Science Academy
  • Hybrid (Raleigh, NC, USA)
  • Feb 08, 2024
Fellowship / PostDoc Education: (i.e. Schools/Colleges of Education) Engineering & Applied Sciences Mathematics & Statistics Sciences and Technology: other

Job Description

About the NC State Data Science Academy
The Data Science Academy is a university-wide effort to advance data science across all colleges of the university, as well as centers and institutes in all three pillars of the university’s land-grant mission: education, research and service to the state of North Carolina. The DSA aims to engage learners at any level and with varying career goals by offering data science courses, analytics consulting and research enablement. DSA 1-credit courses are based on the All-campus Data science through Accessible Project-based Teaching and learning (ADAPT) model, which is designed to support all learners by eliminating barriers to entry, providing genuine choices to build data science identity, and creating a high probability of success. Instructors come from industry, government and academia to broaden participation in data science and welcome learners from disciplines across the university.
About the Project
Research-informed methodologies for data science teaching and learning are essential to build the workforce needed in data science, which is growing as a career path, a professional skill, and a component of literacy. To this end, the NC State Data Science Academy (DSA) is creating a model for training postdoctoral scholars in education research.
This program will bring together a cohort of four postdoctoral scholars who are committed to broadening participation in data science through education research that centers diversity, equity and inclusion. The DSA offers a unique environment for these postdoctoral scholars to conduct research in data science education through the study of the Data Science Academy’s ADAPT course design model (described below and on the DSA website).
The postdoctoral scholars will work with mentors who have varied backgrounds, have a known-record of mentoring diverse trainees, and have professional expertise to support them in developing their own data science education research.
We have posted materials on our website ( that may assist you in the application process, including a recording of an information session. You can also find information about our courses and the ADAPT course model.
Duties and Responsibilities 
Scholars will develop a research project focused on the teaching and learning in progress through the Data Science Academy at NC State University. The research will investigate aspects of the ADAPT model (described above and online).

The scholars will participate as a cohort in research and professional development activities such as weekly mentor meetings, leadership development, teaching meetings, a data science education journal club, brown bag lunches, presentations, workshops and a data science education conference. Fellows may also access NC State professional development programs and funding for travel and professional memberships.

Each postdoctoral scholar will be expected to teach one course per semester for the Data Science Academy at the undergraduate or graduate level. They may develop a new course or teach an existing course.

The postdoctoral scholars will provide input that helps identify a primary and secondary research mentor. The goal is to create interdisciplinary teams.
NC State University and the Data Science Academy are especially interested in qualified candidates who can make contributions through their experience, research, teaching and/or service that demonstrate NC State’s goals and values as described in the Wolfpack 2030 Powering the Extraordinary Strategic Plan:
Other duties as assigned.

Preferred and Required Qualifications

Department Required Skills
Equivalent education/experience can substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.

  • Must be a U.S. citizen, national, or permanent resident when the application is submitted.
  • Must have earned a doctoral degree, or expect to have earned the doctoral degree in a field of Science, Technology, Engineering, or Mathematics (STEM), STEM Education, Education, or a related discipline prior to the start date of the position. The start date must be no later than two years after the conferral of the doctoral degree.
  • Must not hold a tenure-track position.
  • Experience with data science, data science education and/or data science education research.
  • At least 3 years of relevant teaching experience in high school, postsecondary level or as an instructional trainer.
  • Relevant research experience. We encourage applications from a broad range of disciplines, including statistics, mathematics, computer science, education, engineering, policy, ethics, communications, arts and humanities, physical and social sciences, or related fields.
  • Strong communication and writing skills.

Preferred Years Experience, Skills, Training, Education
Qualified applicants may not have all of the following:

  • Record of research or professional publication and presentation, commensurate with experience.
  • Prior work in research projects with human subjects.
  • Experience with accessibility practices in communication.
  • Experience with project-based teaching and learning.
  • Experience broadening participation in STEM education and STEM fields.
  • Experience with quantitative and/or qualitative data analysis and communication tools.
  • Demonstrated success working in collaborative teams.

Application Details (to apply use the Apply Now button below.)

Required Applicant Documents

1. Cover Letter. In the letter, please explain how this postdoctoral position is a
good fit for your research and professional goals.

2. Resume/CV that helps us connect your prior work experience with this postdoc.
Please include any metrics you used to evaluate the success or impact of this
prior work.

3. A 1-2 page research vision statement describing an idea for the data science
education research you could conduct in this two year position. Please describe
how this research would be conducted within the Data Science Academy courses
and focus on one or more aspects of the ADAPT course design model and its
implementation (
Please address broadening participation in data science within this statement.
There will be additional information linked from the DSA postdoc webpage that
will provide some context to help you complete this section.

4. A 1-2 page teaching vision statement describing the data science curriculum
development and/or teaching that you would like to accomplish within the ADAPT course design model in this two year position. Please address broadening participation in data science within this statement. Information about DSA
courses can be found on the DSA website.


5. Contact Information for References

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