Research assistant. The research assistant will be the lab manager for the Language and Cognition Lab, with responsibility for designing, creating, running, and analyzing experiments with infants, children, and adults (including experiments delivered using web-based platforms); coordinating and recruiting undergraduate research assistants; coordinating participant recruitment; and assisting in planning lab events and meetings. Apply through Stanford careers at https://stanford.taleo.net/careersection/2/jobdetail.ftl?job=77872. Review begins 3/1.
Stanford and the Language and Cognition Lab value inclusiveness and encourage candidates that bring personal diversity of all types to these position. We recognize that many otherwise strong candidates will require training in particular areas and are prepared to provide appropriate training opportunities.
How do children learn their native language, and how does language learning interact with other, parallel processes in child development? The goal of research in the Language and Cognition Lab is to use large-scale datasets, novel measurement methods, and statistical/computational models to come to a quantitative understanding of early child development.
We particularly seek to:
* Characterize the mechanisms of social learning and developmental change that drive the process of language acquisition;
* Explore the patterns of variability and consistency in children’s development across individuals, languages, and cultures; and
* Understand how early language learning depends on – and in turn enables – children’s social interaction and conceptual representation.
Theory development requires reproducible and replicable empirical measurements that converge across labs, measures, and methods. We accomplish our goals through a combination of data-oriented theoretical synthesis – compiling and analyzing multiple datasets to reproduce and add precision to existing constructs – and targeted experimental work with both children and adults to explore new constructs. This joint approach yields rich, reusable data and shared tools and resources that enable further work.
Michael C. Frank
Department of Psychology