The Data Science Academy (DSA) offers Postdoctoral Fellowship opportunities based on specific research projects, academy goals and grant funding.
Data Science Education Research on the ADAPT Course Model
With data science growing as a career path, professional skill and component of literacy, the NC State Data Science Academy (DSA) is creating a model for training postdoctoral fellows that centers diversity, equity and inclusion. This program will bring together mentors with varied backgrounds, professional expertise and research interests with postdoctoral fellows from groups that are underrepresented in STEM and education (e.g. women, BIPOC) and may have limited experience in data science or education research. 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 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 with low barriers to entry, multiple elements of choice and high probability of success. The DSA is expanding course offerings and its roster of instructors while launching an ADAPT model study.
The DSA will train a cohort of four postdoctoral fellows, connecting them with mentors who specialize in education research and can support them in developing their own research. Research and professional development activities will include: 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.
The postdoctoral cohort will have the opportunity to develop competencies in STEM research methods by building their own areas of focus in an ongoing research study to better understand the impact of the ADAPT course design model on student identity, affinity for data science and intent to pursue future courses, internships and data science-related jobs.
The DSA will create a model for training postdoctoral scholars in data science education research and successfully inducting them into the data science education and STEM-Ed research community. This model will be developed with a focus on diversity, equity and inclusion to support specifically the training and professional development of women and other groups who are currently underrepresented in STEM and STEM education. As the postdoctoral fellows enter the workforce, this project can be expected to inform the induction of data science education research, curriculum development and student experience. The ADAPT course model, which will be continuously improved by research, can be adopted and studied at other institutions and in other disciplines.
Applicants for the DSA Postdoctoral Program will need to provide a long Curriculum Vitae, along with a single integrated teaching and research statement. In this statement, candidates should describe five projects (e.g. research, teaching, curriculum development, industry/government work experience or outreach) that demonstrate their readiness for postdoctoral work and how their research interests will align with DSA goals and objectives. This statement will also need to clearly demonstrate how their projects, methods and evaluation are informed by and support Accessibility, Diversity, Equity, and Inclusion. Applications will be evaluated on the following criteria, which will be shared with the applicants:
Why is the applicant interested in a postdoc with the DSA?
How do the five projects demonstrate the applicant’s skills as a communicator?
Are the applicant’s projects and evaluation metrics informed by goals and practices of accessibility, diversity, equity, and inclusion?
What is the impact of this work, and how is impact measured?
How is the applicant’s work grounded in data science and/or data science education? If not, how did past projects prepare the applicant to engage with data science?
How do the applicant’s projects connect to STEM-Ed and STEM-Ed research?
Are the interests of the applicant in areas the DSA mentors are well-prepared to mentor?
Applications will be accepted via https://jobs.ncsu.edu/postings/190794.
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 (datascienceacademy.ncsu.edu) 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.
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 ?eld 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 ?elds.
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 ?elds.
Experience with quantitative and/or qualitative data analysis and communication tools.
Demonstrated success working in collaborative teams.
NC State University is based in Raleigh, North Carolina, about halfway down the East Coast of the United States. Since 1887, we’ve strived to offer world-class teaching and research. Today, we’re ranked in the top 1% of universities on the planet.NC State is a land-grant institution, which means we have a duty to open the doors of education for everyone. We’re a Research 1 university, recognized worldwide for our big ideas and bigger impact. And we’re a public university — one that believes in community, equity, sharing what we learn and serving the greater good.