Opportunities
I strive to have a diverse lab. I welcome potential students regardless of race, religion, gender identification, sexual orientation, age, or disability status. As long as you are respectful to others, you are welcome here.
Dr. Hart will be considering graduate student applications for Fall 2026!
The application cycle for the 2025-2026 school year is complete. Prospective graduate students to begin Fall 2026 can apply to the Hart lab through the School of Psychology at the University of Waterloo. Please also contact Dr. Hart directly with any questions.
Potential Postdoctoral Scholars
Prospective postdocs are always welcome to reach out to Dr. Sara Hart via email at sara.hart@uwaterloo.ca
Current Openings
Additional opportunities to join the Hart Lab are posted below. Make sure to check out the available positions, and apply by email at hartlab@uwaterloo.ca
Avaliable Positions
Postdoctoral Scholar in Open Science Infrastructure and Data Integration
Postdoctoral Scholar in Open Science Infrastructure and Data Integration
Hart Lab / LDbase, School of Psychology, University of Waterloo | Waterloo, Ontario, Canada
Position Description
A Postdoctoral Scholar position is available with Sara Hart, Canada Excellence Research Chair in Developmental Science and Professor of Psychology, in the Hart Lab in the School of Psychology at the University of Waterloo. This position is funded through a new five-year NIH-supported project to expand LDbase.org, the domain-specific data repository for the learning and developmental sciences. LDbase holds more than 200 shared datasets, is used by close to 900 registered researchers, and is listed by NIH, IES, and the Chan Zuckerberg Initiative as a preferred repository.
The successful candidate will lead and collaborate across multiple strands of the project. The first demonstrates the value of data reuse by answering a question that cannot be answered from any single dataset: why do some children grow faster than others in reading? This work uses integrative data analysis to harmonize five longitudinal datasets (N = 5,161, kindergarten through grade twelve), testing measurement invariance at the construct level and then fitting a trivariate latent change score model to examine reciprocal relations among reading decoding, language comprehension, and reading comprehension (see van Dijk et al., 2022 for the harmonization approach the project uses).
The second strand is a program of metascience studies tracking data sharing across the field: harvesting dataset DOIs through the OSF and ICPSR APIs to trace how often shared data are actually reused, coding published articles for open science practices across several years, using NIH RePORTER to compare data sharing before and after the 2023 federal mandate, and other metascience studies on data sharing and data reuse.
The project is also building an application programming interface (API) for LDbase, so that researchers can search, download, and deposit data directly from R or Python. Infrastructure development is led by the Florida State University Libraries team; this role is the research-facing side of that work. The postdoc will be among the API's first users, will help specify what the research community needs from it, and will have the opportunity to lead development of an R client package for LDbase.
The postdoc will also contribute to community-facing work, including workshops, conference presentations, and user research, and will be embedded in an interdisciplinary team spanning the University of Waterloo and Florida State University, with consultants at Vanderbilt University and Utah State University.
Required Qualifications
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PhD in developmental or educational psychology, quantitative methods, information or library science, or a closely related field
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Demonstrated experience with latent variable modelling, particularly longitudinal and multi-group models
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Strong scripting skills in R
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Experience working with secondary datasets, including documentation and codebooks
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Experience in open science practices
Desirable Qualifications
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Experience with measurement invariance testing or integrative data analysis
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Facility with SEM software (Mplus, lavaan, OpenMx)
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Familiarity with bibliometric or metascience methods
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Experience building or contributing to R packages, or interest in learning
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Experience with data curation, metadata standards, or FAIR principles
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Comfort presenting to researchers in workshops and at conferences
Candidates with strong quantitative training but no prior work in open science infrastructure are encouraged to apply, as are candidates from information science or metascience whose modeling background is still developing. The project supports training in both directions, and no applicant is expected to arrive with all of it.
Research Environment
The Hart Lab is committed to rigorous, open science and to a collaborative, inclusive research environment. This position sits at the intersection of developmental science, research data management, and metascience, and the postdoc will receive training across methods, team science, research software, and knowledge mobilization. Trainees on the previous phase of LDbase have moved into research faculty positions, federal agency work, and industry user research. An in-person presence in Waterloo, Ontario, Canada, is expected.
Terms
The position offers a salary of $70,000 CAD per year. Start date is negotiable, with the hope of filling the position in early 2027. Initial appointment is for two years, with renewal contingent on satisfactory progress and funding, up to five years. Postdoctoral scholars in the Hart lab receive funding for travel, for their own research projects, and considerable mentoring support.
How to Apply
Interested applicants should send a curriculum vitae, cover letter, a brief statement of research interests and relevant experience (1–2 pages), and contact information for three references to Prof. Sara Hart at s4hart@uwaterloo.ca. Review of applications will begin October 30, 2026 and continue until the position is filled. The Hart lab is committed to equity, diversity, access, and inclusion, and the successful candidate will be expected to train in and uphold EDI standards.