Research Scientist(Postdoc) in Quantitative Psychology for Educational Data
Requisition Number:
Location:
City
State
Employment Type:
Schedule:
Posting Close Date:
Date Posted:
Job Summary
The Institute of Cognitive Science at the University of Colorado Boulder anticipates hiring a full time postdoctoral fellow in quantitative psychology. The project focuses on analyzing data pertaining to improving educational outcomes for historically marginalized youth and involves research-practice partnerships where projects are co-designed, deployed, and tested in conjunction with practitioners.
In this position, you will develop and apply analytical techniques to analyze data pertaining to student learning, engagement, and discourse during small group human tutoring and collaborative problem solving. In addition to correlational studies, you will also examine the impacts of interventions to improve various educational outcomes.
For early career scholars, this position offers a unique training experience and unsurpassed publishing opportunities within multi-department and multi-institution grant-funded projects. You will be encouraged to develop advanced technical skills, conduct real-world impactful research, strengthen your research portfolio via publications, gain interdisciplinary experience by working with a diverse team, develop leadership skills, and gain expertise in co-authoring grant proposals. More experienced researchers will have the opportunity to hone their skills within a world-class research environment offering outstanding professional development options and an exceptional collaborative environment.
Who We Are
You will work with Dr. Sidney D’Mello (www.sidneydmello.com) and will play a collaborative and co-leadership role in a vibrant research team encompassing researchers in Computer Science, Cognitive Science, and Education. We are housed in the Institute of Cognitive Science (ICS; https://www.colorado.edu/ics/ ), whose mission is to enhance human cognition, learning, and development through the creation of interdisciplinary partnerships. ICS fosters rich scientific interchange across researchers from a broad range of fields including Artificial Intelligence, Linguistics, Psychology, Neuroscience, Computer Science, Philosophy, and Education. ICS serves as an incubator of research centers and institutes such as the NSF National AI Institute for Student-AI Teaming (www.isat.ai) and the Learning Engineering Virtual Institute (LEVI - https://learning-engineering-virtual-institute.org/).
What Your Key Responsibilities Will Be
- Preparing large datasets for analysis by merging data from multiple sources and checking data integrity
- Developing and applying statistical techniques for modeling large longitudinal, multilevel, multivariate datasets
- Converting research questions into representative statistical models
- Maintaining and applying current best practices in open science
- Dissemination of results by leading publication efforts and assisting with reporting
- Managing projects including supervising project staff and students
What You Should Know
- 1-3 year position. Initial contract is for one year pending a six-month probationary period
- Contract is renewable annually based on performance and availability of funds
- Start date Fall 2025 (desired) but Winter 2025 if needed.
- This is a hybrid position encompassing both in-person and work-from-home but the candidate must be located in the Denver Metro Area.
What We Can Offer
- 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 for monthly vacation and sick leave accruals.
Benefits
Be Statements
What We Require
- Ph.D. in Quantitative Psychology or a related technical field (at the time of appointment)
- Strong writing skills and ability to conduct independent research as evidenced by first author publications
What You Will Need
- Demonstrated expertise in analysis of complex multivariate datasets using advanced methods including structural equation modeling, instrumental variable analysis, mixed-effects modeling, longitudinal data analysis, and multivariate time series modeling as evidenced by peer-reviewed publications
- Expertise in statistical modeling software (R and Python preferred)
What We Would Like You to Have
- Experience in Bayesian analysis, latent growth curves analysis, multilevel modeling, data wrangling, missing data analysis, network modeling, multivariate time series and dynamical systems modeling, mediation and moderation analysis, multiple group modeling
- Experience working within large, interdisciplinary teams and evidence of leadership
Special Instructions
To apply, please submit the following materials:
- Resume/CV
- Cover Letter
- Two or three representative publications [as one pdf]
If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit a translated version as an optional attachment.
For full consideration, please apply by 8/1/25.
Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs.
Posting Contact Information
Posting Contact Name: Boulder Campus Human Resources
Posting Contact Email: Recruiting@colorado.edu