Research Specialist I

Position Summary: Research Specialist, Computational Memory Lab, Princeton Neuroscience Institute and Department of Psychology, Princeton University.

The Princeton Computational Memory Lab, led by Professor Ken Norman, is seeking a full-time research specialist to work on NIH-funded studies of cortical and hippocampal learning mechanisms. The lab uses both computational models and neuroimaging data (fMRI and EEG) to study learning and memory. To test our models' detailed predictions, we use multivariate neuroimaging analysis methods that allow us to decode what information is represented in the brain and how these representations change over time (see http://compmem.princeton.edu for more information on our lab's research). The successful candidate will assist with all aspects of our lab's research, including developing materials, programming experiments, recruiting participants, collecting and analyzing fMRI and EEG data, and miscellaneous research support (literature searches, manuscript and grant preparation, general lab duties). A major part of the research specialist's duties will be assisting with the development, testing, and dissemination (via open-source software) of new methods for analyzing neuroimaging data.

This position is ideal for candidates who are planning to attend graduate school and want additional research experience. Questions about the position can be addressed to Professor Ken Norman (knorman at princeton dot edu). Applications should include a cover letter, a CV, and a list of at least two potential referees.

Essential Qualifications: Essential qualifications for this position include: A bachelor's degree in Psychology, Cognitive Science, Neuroscience, Computer Science, Engineering, Math, or other related field;
demonstrated interest or research experience in cognitive neuroscience; fluency in Matlab; and an organized, independent, and efficient work ethic.

Preferred Qualifications: Preferred (but not essential) qualifications include prior experience with neuroimaging data analysis (fMRI and/or EEG) and a working knowledge of modern machine learning methods (e.g., pattern classification algorithms).

Education Required: Bachelor's Degree

Application Deadline: Open Until Filled or See Position Summary.