Full-time research specialist at Princeton Social Neuro lab

The Princeton Social Neuroscience Lab, directed by Diana Tamir, is seeking a full-time research specialist (i.e., lab manager/research assistant) to begin in Spring or Summer 2017. The lab uses functional neuroimaging, behavioral techniques, and machine learning to study the cognitive and neural basis of self-referential thought and social behaviors. To get a sense for this work, applicants can review our research here.

This position would be ideal for those interested in pursuing graduate school in psychology or neuroscience, as the research specialist will gain experience with all aspects of the research process, including (1) recruiting and testing human subjects, (2) assisting with the design and implementation of behavioral and fMRI experiments,(3) analyzing behavioral, web-scraped, and fMRI data, and (4) miscellaneous research support (e.g., literature searches, IRB management, general lab administration).

Essential qualifications:
– Bachelor’s degree in Psychology, Cognitive Science, Neuroscience, Computer Science, Statistics, Engineering, Math, or related fields
– Excellent organizational, interpersonal, and communication skills
– Demonstrated interest or research experience in psychology or neuroscience
– Undergraduate level statistics course and experience with statistical analysis packages (e.g. R, Matlab, SPSS, Excel, etc.)
– Some exposure to one or more programming language (e.g. Matlab, Python, Javascript, shell scripting, C/C++, etc.)
Preferred qualifications:
– Experience analyzing neuroimaging data (SPM, FSL, AFNI, or similar platforms).
– Experience conducting independent research in social psychology
– Strong programming, statistical, and/or web development skills

To apply for the position, please complete the application form here. Review of applications will proceed on a rolling basis.
This position is subject to the University’s background check policy. Princeton University is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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