The Center is seeking a candidate with a strong background in statistics and preferably with some additional background in psychology, linguistics or related fields. The successful applicant will work on a project which aims to analyse several datasets from cross sectional and longitudinal studies on language development in Danish children with measurements on several language dimensions across several thousands of children. The overall aim of the project is to find subgroups of children with similar patterns in language development, which can then be used to help train teachers and other relevant professionals in supporting language development in an individualized manner. A large ongoing randomized intervention study with six intervention and two control groups allows the investigation of the predictive value of the subgroups found with respect to intervention effects.
The project will require the application of regression models for longitudinal data, latent class models, growth curves modes and combinations of these models. Experience with some of these models is hence an advantage. The applicant should have a master’s degree in statistics, mathematics, psychology or a related field.