LEVANTE Project, Jacobs Foundation
We are seeking an Education Coordinator for a large-scale project on developmental data collection with children ages 2-12 called LEVANTE (Learning Variability Network Exchange). LEVANTE is a global research network to improve our understanding of variability in learning and development through coordinated data collection. The project is funded by the Jacobs Foundation; learn more at http://levante-network.org.
The EC position is at the level of a postdoc or research scientist but is not a traditional research position. While there will be research opportunities, the primary job duties involve working with researchers who are using the LEVANTE platform, measures, and data, The EC will create tutorial materials, lead hackathons, and run webinars to educate LEVANTE users. Some of these will include teaching technical material including the rlevante R package for data access. The broad goal is to support researchers in learning to use these tools in their own research. The EC will work with a dynamic team including developers creating and maintaining the platform as well as researchers using the data.
This position is appropriate for recent PhD grads as well as candidates with postdoctoral experience; exact title and compensation will be relative to experience post-PhD. The EC will contribute to – and have the opportunity to lead on – research products including papers and presentations. The LEVANTE team is a large and lively group pushing the boundaries of cross-cultural developmental measurement through a combination of technical innovation and psychometrics. The EC will also be part of the Language and Cognition Lab at Stanford, a broad interdisciplinary group interested in using data to understand human development.
Requirements for the position include:
– experience in teaching and/or science communication
– experience working with interdisciplinary teams
– domain knowledge about developmental psychology and/or education
– skills in using R for data analysis
Applicants should submit a current CV, a short (~1 page) coverletter stating their qualifications for the position, and a link to a github account (preferred) or other code sample.
Please contact Amy Lightbody (aal@stanford.edu) with questions or application materials. Applications will be processed on a rolling basis; start date is flexible but the ideal would be June – September 2025.
Closing Date:
Contact: aal@stanford.edu