Research Specialist II

US-NJ-Princeton

Job ID: 2021-12592
Type: Full-Time
# of Openings: 1
Category: Research and Laboratory

Princeton University

Overview

The lab of Dr. Yael Niv in the Princeton Neuroscience Institute and the Department of Psychology at Princeton University (www.princeton.edu/~nivlab) is seeking a bright and motivated full-time research assistant. Research in the lab focuses on computational modeling and model-driven functional imaging experiments of learning and decision making, with a particular focus on mental illness (computational psychiatry). This position is within the computational psychiatry focus of the lab.

The position provides an excellent opportunity to further develop research skills in computational modeling and experimental analysis, and to learn about the psychology and neuroscience of learning and decision making. The successful applicant will be an energetic, self-directed learner, ideally with clinical experience and a keen interest in the lab's research. This is a one-year position with the possibility of renewal contingent upon job performance and funding.

All applications should include a cover letter stating background and porfessional interests a CV, and contact information of two referees.

Responsibilities

Research Specialist responsibilities include:

• programming and running large-scale experiments on Amazon’s Mechanical Turk platform
• designing and simulating models of learning and decision-making
• involvement in fMRI experiments and in sophisticated behavioral and neural data analysis
• administrative duties that are expected to take up no more than 1.5 days a week

Qualifications

Essential Qualifications:

• M.A. or equivalent in psychology or neuroscience and significant post-bacc experience with research or clinical work.
• Familiarity with programming (R, Matlab or equivalent)

Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW.

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