Postdoctoral Scholar – Data Science Education Researcher

This postdoctoral opportunity brings together faculty from UC Berkeley’s School of Education (BSE); the College of Computing, Data Science, and Society (CDSS); and the Social Science D‑Lab to support one (1) postdoctoral scholar as they study the teaching and learning of Data Science. Scholars will apprentice with multiple projects to develop and contribute expertise and scholarship in ethical data science teaching and learning across precollege, 2‑year college, and 4‑year university contexts.

A major goal is to prepare scholars who are conversant across sectors, in order to help create coherent and supportive data science learning trajectories for all students. (See full posting at: (Use the "Apply for this Job" box below)./JPF
05274)

We seek applicants with complementary relevant skill‑sets and training in data science and education. This includes applicants with different educational backgrounds (e.g. research, regional, or liberal arts colleges; technical and community colleges), methodologies (e.g. qualitative and quantitative approaches to social sciences research), and experiences related to teaching or educational research (e.g. tutoring, teaching, curriculum development). We hope scholars will all share commitments to contributing high‑quality, ethical Data Science Education teaching, curriculum, and scholarship.

Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.

The program will prepare postdoctoral scholars for a variety of careers such as entering Discipline‑Based Education Research or the Scholarship of Teaching and Learning of Data Science as research or teaching faculty at a range of colleges and universities; working for non‑academic organizations that design, develop, and study curricula, resources, and teacher learning for Data Science Education; or working with school districts or university systems to support student readiness, success, interest/confidence and career awareness in data science.

Year 1:
Researchers will work with specialists among the faculty in Computer Science, Data‑Intensive Social Science, Education, and Statistics in research rotations across departments; attend monthly workshops designed to develop the knowledge base required to conduct consequential research in this field; and become integral members of a growing community of practice at UC Berkeley and across the SF Bay Area.

Year 2:
Researchers will engage with a year‑long apprenticeship with a faculty mentor and will develop an independent project within the context of one of the many educational initiatives led by project personnel. Fellows will have the opportunity to teach workshops in Python/Jupyter, social science methodology, data literacy pedagogies, or data science curriculum development, and they may also teach undergraduate courses in Data Science/Statistics or STEM teacher preparation, no more than one course per year in the lecturer title.

They will present their independent work at campus colloquia and will engage the broader Data Science Education field through scholarly conferences, technical workshops, and UC Berkeley’s annual Data Science Education convening.