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Research in the Kable Lab seeks to understand how people make decisions, and to trace out the psychological and neural mechanisms of choice. We employ an interdisciplinary approach to tackle these questions, drawing on methods and ideas from social and cognitive neuroscience, experimental economics, and personality psychology. We aim to draw links across these different levels of analysis, and to build explanations of decision-making that account for both people's choices and the neural mechanisms underlying those choices.

One of our goals is to understand the mechanisms underlying changes in people's preferences. Recently, we have used fMRI to show that the subjective value people place on different rewards is represented in a common neural currency -- a "utility"-like neural signal. We are now examining how neural value signals change when people change their decisions for different reasons (e.g., heuristics and biases, preferences evolving over time, education, or social influence).

Another goal is to understand the different sources of individual differences in decision making. Recently, we have reported dramatic differences across individuals in impulsivity, which are associated with how certain brain regions are active during decision-making. We aim to explore the extent to which differences in decision-making are stable and trait-like as opposed to context-dependent, and to analyze the psychological, genetic, and neural sources of these differences.

A full-time research assistant position is opening in the Kable Lab at the University of Pennsylvania. At least a one-year commitment is preferred. The lab uses functional imaging, noninvasive brain stimulation and behavioral testing in both healthy participants and those with brain damage to investigate the psychological and neural mechanisms of decision making. Responsibilities include designing and conducting experiments, analyzing data, and managing administrative tasks. Requirements include a Bachelor’s degree (preferably in psychology, neuroscience, or a related field) and strong computer skills. The ideal candidate would be a highly organized, motivated individual with an interest in the field of neuroscience or psychology and experience working in a research setting. If interested, please prepare a resume, a cover letter detailing your background and interests in the position, and contact information for at least three professional references. Applications must be submitted on Jobs@Penn, reference #02-19677.