Chapman University and the newly minted Chapman Brain Institute within Crean College of Health and Behavioral Sciences seeks applications for an experienced tenure track Assistant Professor of Cognitive Neuroscience, with a focus on social decision-making, beginning in August 2018.

The Institute for Interdisciplinary Brain and Behavioral Sciences (The Brain Institute) comprises a network of interdisciplinary researchers and specialists spanning the fields of psychology, psychiatry, neuroscience, neurology, anesthesiology, neurobiology, behavioral economics, computation and information processing in the brain, engineering, physics, anthropology, and cognitive science. We thrive on communication, criticism, and stimulation, focused on the unification of research in the behavioral and brain sciences at the systems level, with an eye to clinical and useful applications, innovations with artificial intelligence, insights from neuropsychology, and philosophy of mind. For more information on Institute please visit https://brain.chapman.edu.

Chapman University, located in the heart of Orange County, California, offers traditional undergraduate programs in the arts and sciences and select pre-professional and graduate programs. Ranked in the top tier of western universities by Us. News and World Report, Chapman has gained national recognition with its commitment to excellence through research and innovative teaching. More information about the University is available at https://chapman.edu.

The University is dedicated to enhancing diversity and inclusion in all aspects of recruitment and employment. More information on diversity and inclusion at Chapman University is available at https://www.chapman.edu/diversity/.

Ph.D. in Psychology, Cognitive Neuroscience, Cognitive Science or a related field; evidence of excellence in research and experience in teaching; competence in quantitative methods of research; and research design focusing on the neural correlates of human decision-making in group contexts drawing on psychological science, social reasoning, and Theory of Mind. The specific area of disciplinary expertise should be applicable to conducting research in brain science.

Preference will be given to individuals possessing a solid track-record of relevant peer-reviewed publications and with specific knowledge of paradigms and methods in cognitive and human neuroscience research; proficiency in experimental design; experience with organizing and running complex experiments (e.g., concurrent eye-tracking with ERPs); data and image analysis (including model-based and multivariate neuroimaging analyses); and writing savoir-faire. Specifically, the candidate should be an excellent teacher and have working knowledge of social psychology, neuroimaging techniques (such as MEG, EEG, fMRI, NIRS, or intracranial recordings) and psychophysical recordings (such as skin conductance, pupil dilation, and/or heart rate); be well versed in computational modeling of human behavior and brain activity; strong programming background (e.g., Matlab,D R, and/or Python); statistical understanding and machine-learning know-how (e.g., regression, clustering, and classification), including neural networks and deep learning.

The successful candidate will develop and maintain a rigorous and productive research program alongside independent extramural funding and teach. Tenure track faculty are expected to develop and maintain an active research agenda for future tenure consideration and are evaluated on their research/scholarly activity, teaching and service.

Contact Information
Qualified candidates should submit electronically submit a faculty employment application, cover letter, curriculum vitae, teaching statement, research statement, two or more official course evaluations, reprints of three representative publications or other scholarly work and three letters of recommendation to:

Dr. Amir Raz, Search Chair
C/O Ms. Rebecca Kendrick at rkendric@chapman.edu.

Application review will begin in January and continue until the position is filled.

Successful completion of a background check is required for the final candidate.