Design of experiments (10% time) - A series of experiments will examine what the neural signatures (photometric and electrophysiological) of reward-based decisions are, and whether and how these differ across genotypes and sexes in mouse models.
Conducting experiments (30%) - This includes learning and implementing surgical and behavioral testing techniques, and writing computer code to run the experiments on touchscreen operant chambers and to link responses in the chambers with outputs logged by photometric and/or electrophysiological recording rigs, as well as directly handling and running animals. Undergraduate research assistants will aid with the data collection and will be trained and supervised by the applicant on running the code, handling mice and operating recording equipment, and analyzing behavioral database, video, and recording data.
Data analysis (30%) - A number of statistical analyses will be programmed and run in the R, Python, and/or Matlab, including standard General Linear Models, as well as dimensionality reduction approaches to identify complex trends in behavior and neural signals and identify factors most associated with these trends, as in our recent preprint.
Writing up and presenting results (30%) - Results will be submitted for publication in leading scientific journals and will be presented within and outside of the University of Minnesota, such as the annual meeting of the Society for Neuroscience, and other more focused meetings as appropriate.
Candidates must have a Ph.D. in neuroscience, psychology, or a related discipline, with a strong background in research on brain function.
Experience in one or more of the following areas: rodent operant behavioral analysis, theories of learning and decision making, mesocorticolimbic circuit function, electrophysiology and/or in vivo fluorescent imaging, and data analytics using Python or Matlab. An interest in writing and/or developing writing skills is preferred.
Internal Number: 340285
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