Drs. Chris Schatschneider and Sara Hart, at the Department of Psychology and the Florida Center for Reading Research at the Florida State University, are recruiting a postdoctoral researcher to work with them on a NIH-funded project, called “LDbase”.
This postdoctoral position on the LDbase project is an opportunity to help create a repository of datasets related to academic achievement available to all researchers. One role on this project is to create a series of pooled datasets through the use of measurement invariance modeling using R and to make this code available to anyone who wants it. Another role is to publish manuscripts from these datasets. Another role will be to help create data management and data analysis resources for the broader academic community (e.g., data entry best practice guide, data analysis workshop slides). So if you’re looking for a job where you’ll get a lot of experience in measurement modeling, publishing manuscripts, as well as supporting educational and developmental science researchers in data sharing – then this job is for you!
We are hoping to recruit an individual is comfortable with advanced statistical procedures such as measurement modeling. Experience with data created by educational/learning disabilities researchers is a plus. Start date is tentatively set for August 9, 2021, but we are open to an early start date. Salary is set at the NIH-levels and benefits are set by our university, but we are able to add further support with generous travel and training opportunities, and a collegial and jovial work environment.
You can apply for this job by going to www.hr.fsu.edu, clicking on “job opportunities”, and searching for job id “48641”. Applicants will be asked to provide their CV, letter of interest, and names and contact information for three individuals for whom letters of recommendation could be solicited (with names and contact info to be submitted as directed in the Letters of Reference Section). We will be taking applications until the position is filled, so apply quickly! Questions can be emailed or tweeted to Chris (email@example.com, @schotz) or Sara (firstname.lastname@example.org, @saraannhart).
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