Successful candidates must possess a Ph.D. in Learning Sciences, Computer Science, Data Science, Education Policy, Curriculum Theory, or related fields by the effective appointment date.
ABD applicants will be considered if Doctoral will be in hand by the effective appointment date.
Appointee must also have evidence of research productivity in topics related to education theory, practice or policy in K-12 computer science teaching and learning, research practice partnerships, constructionism, data science, machine learning, artificial intelligence, learning analytics, educational data mining, and/or related fields. This evidence can include experience with academic writing, successfully securing approval for human subjects research, success fostering constructive collaborations, and well-developed experiences using qualitative and/or quantitative methodological approaches to study either student learning, teaching practices or policies related to K-12 computer science education processes and outcomes.
Due to eligibility requirements from the funding agency, Postdoctoral Research Associate supported through organizational awards must:
1. Be a U.S. citizen, national, or permanent resident;
2. Have earned the 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 no more than 24 months prior to start date.