Postdoctoral Research Scientist in Statistical Modeling of Educational Data

Job Summary

The Institute of Cognitive Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow forstatistical modeling of educational data. The project focuses onanalyzing data pertaining to improving educational outcomes for students. In this position, you will develop and apply analytical techniques to analyze data pertaining to student learning,engagement, and collaborative discourse during small group humantutoring and collaborative problem solving.

You will also examine the impacts of interventions to improve various educationaloutcomes.

For early career scholars, this position offers a unique training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. Youwill be encouraged to develop advanced technical skills, conductreal-world impactful research, strengthen your research portfoliovia publications, gain interdisciplinary experience by working witha diverse team, develop leadership skills, and gain expertise inco-authoring grant proposals. More experienced researchers willhave the opportunity to hone their skills within a world-classresearch environment offering outstanding professional developmentoptions and an exceptional collaborative environment.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governingnondiscrimination in employment. We are committed to creating aworkplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds toapply, including protected veterans and individuals with disabilities.

You play a collaborative and co-leadership role in a vibrantresearch team encompassing researchers in Computer Science,Cognitive Science, and Education. We are housed in the Institute of Cognitive Science (ICS; https://(Use the "Apply for this Job" box below).), whose mission is to enhance human cognition, learning, and development through the creation of interdisciplinary partnerships.

ICS fosters rich scientific interchange across researchers from abroad range of fields including Artificial Intelligence,Linguistics, Psychology, Neuroscience, Computer Science,Philosophy, and Education.

ICS serves as an incubator of researchcenters and institutes such as the NSF National AI Institute for Student-AI Teaming () and the Learning Engineering Virtual Institute (LEVI - ).

• Preparing large datasets for analysis by merging data from multiple sources and checking data integrity.
• Developing and applying statistical techniques for modelinglarge longitudinal, multilevel, multivariate datasets.
• Converting research questions into representative statisticalmodels.
• Maintaining and applying current best practices in openscience.
• Dissemination of results by leading publication efforts and assisting with reporting.
• Managing projects including supervising project staff and students.

• 1-3 year position. Initial contract is for one year.
• Contract is renewable annually based on performance and availability of funds.
• Start date Fall 2026 (desired).
• This is a hybrid position encompassing both in-person andwork-from-home but the candidate must be located in the Denver Metro Area.

• Salary ranging from $65,000 to $85,000 based on experience and qualifications.
• This position is eligible for medical, dental and life insurance, retirement benefits programs, and is eligible frommonthly vacation and sick leave accruals.
• May offer relocation expense reimbursement of up to $2500.

At the University of Colorado Boulder , we are committed to supporting the holistic health and well-being of our employees. Our comprehensive benefits package includes medical,dental, and retirement plans; generous paid time off; tuition assistance for you and your dependents; and an ECO Pass for localtransit. As one of Boulder County’s largest employers, CU Boulderoffers an inspiring academic community and access to world-classoutdoor recreation.

Explore additional perks and programs through the CU Advantage program.

• Ph.D. in Quantitative Psychology, Statistics, Education or arelated technical field (at the time of appointment).
• Strong writing skills and ability to conduct independent research as evidenced by multiple first author publications.

• Demonstrated expertise in analysis of complex multivariatedatasets using advanced methods including structural equationmodeling, instrumental variable analysis, mixed-effects modeling,longitudinal data analysis, and multivariate time series modelingas evidenced by peer-reviewed publications.
• Experience in cluster RCTs or quasi-experimental design anddata analysis.
• Expertise in statistical modeling (R and Python preferred).

• Theoretical foundation in the learning science and cognitivescience of learning.
• Experience in Bayesian analysis, latent growth curves…