We seek a Postdoctoral Research Associate to work on the Longitudinal Analysis of Mathematical Brain Development and Abilities (LAMBDA) project – a longitudinal behavioral and fMRI study of fractions processing at the University of Wisconsin-Madison (PI Edward Hubbard; Co-PI Percival Matthews, project summary below), currently in its third year. This is a 2-year appointment that will begin Summer 2019, with the possibility of extension for a third.
The ideal candidate will have a background in neuroimaging of numerical and mathematical cognition, and especially working with imaging in developmental populations. Experience with neuroimaging analysis programs (e.g., AFNI, FSL, SPM, or other relevant programs), stimulus presentation programs (e.g., E-prime, Presentation, Cogent/Psychtoolbox [MATLAB]), and statistical analysis (e.g., MATLAB, R, SPSS) is required. Excellent scientific writing skills and strong publication records are highly desired. Applicants should be able to work independently and with minimal supervision, but should also demonstrate interpersonal skills and an interest in working collaboratively.
Please send a letter of interest describing graduate training and research interests, a CV, two representative publications and the names and contact information for three potential references, by electronic mail to email@example.com with POSTDOC INQUIRY in the subject line.
About Educational Neuroscience Lab, University of Wisconsin-Madison
The Educational Neuroscience lab is directed by Edward M. Hubbard in the Department of Educational Psychology and the Waisman Center at the University of Wisconsin-Madison.
We explore question at the intersection of education and neuroscience, in the emerging field of Educational Neuroscience. Our research examines the neural underpinnings of cognitive processes that are relevant for education, and the role of educational experiences and enculturation as primary drivers of brain plasticity to create the neural circuits that underlie human specific abilities. Our research combines the latest technological advances in understanding the human brain as a “learning organ” with insights from cognitive psychology and education to help build the emerging field of educational neuroscience.
The lab focuses on three main areas:
1) the acquisition of mathematics in typical and atypically developing populations
2) the role of multi-sensory integration in learning; and
3) the role of learning in synesthesia, and the consequences of synesthesia for education.