LandiLab

The LandiLab (PI, Nicole Landi) at the University of Connecticut and Haskins Laboratories is actively recruiting new PhD students to contribute to ongoing projects on language and literacy development in laboratory and school settings using cognitive neuroscience approaches. Successful applicants will contribute to two funded projects that involve:  1) multiple neuroimaging methods (EEG, MRI) and behavioral assessments to characterize children at risk for reading and language difficulties and to identify behavioral and neural indicators of successful response to treatment/intervention; and, 2) combined electrophysiology (EEG) and eye tracking methods to characterize audio visual (AV) speech processing and integration in children with autism spectrum disorder (ASD).

Students will obtain their PhD through the Developmental Program in the Department of Psychological Sciences and be affiliated with the  Neurobiology of Language Program.

The LandiLab is closely affiliated with Haskins Laboratories and has active data collection locations in Storrs CT (UConn) and in New Haven CT (Haskins).

Interested applicants should contact Dr. Nicole Landi at nicole.landi@uconn.edu.

The LandiLab (PI: Nicole Landi, PhD) at Haskins Laboratories (which is closely affiliated with Yale and the University of Connecticut) is seeking to hire a postdoctoral research fellow. This postdoc will join a project investigating the neurobiological basis (brain structure, genetics) of reading. The successful applicant will be responsible for conducting and interpreting analyses of neuroimaging data (structural and diffusion imaging data). This position is part of a multi-site project (Haskins Laboratories/Yale University, University of Houston/Baylor College of Medicine; Florida Center for Reading Research) that is aggregating and analyzing neuroimaging and genotyping data from multiple locations to explore gene-brain-behavior relationships. Applicants must have a background conducting research using MRI. The ideal candidate will also have experience with diffusion weighted imaging (DWI) and experience with advanced statistical analysis of imaging data (e.g. imaging-genetic analyses, Bayesian methods, machine learning). For more details regarding required qualifications and application procedure, please click here.

Intended start date is January 2019 (flexible). We will review applications until the position is filled.