The Cognition, Control, and Action (CoCoA) lab, directed by Dr. Taraz Lee in the Department of Psychology is inviting applications for a postdoctoral research position in cognitive neuroscience.
The goal of the research in the lab is to understand how the brain implements cognitive control processes such as attention and motivation and how these processes affect learning, memory, and performance in a variety of contexts. More recently we have begun several investigations into how cognitive control and motivation interact with skilled action. To achieve this goal, we design and conduct experiments with young adults using multiple methods, such as functional magnetic resonance imaging (fMRI), non-invasive brain stimulation, and a battery of cognitive and motor tasks. More information about the CoCoA Lab can be found here.
Competitive candidates should have a strong background in cognitive neuroscience and will have significant experience with fMRI, transcranial magnetic stimulation, or both. They should also be comfortable with research design, acquisition and analysis of neuroimaging/behavioral data, manuscript preparation, and assisting in the training of graduate students and research assistants. The successful candidate will have a strong sense of the research projects and questions he/she would like to pursue.
Ph.D. in Psychology, Neuroscience, Cognitive Science, or a related field
A track record of first author publications
Experience with neuroimaging analysis (AFNI, FSL, etc.) and/or non-invasive brain stimulation
Proficiency with statistical analysis (SPSS, R, etc.)
Proficiency with at least one programming language (Python, R, Matlab, etc)
Research interests in cognitive control, motor learning/control, or motivation
Two year term-limited position with a possibility of extension
Start date is negotiable, but Spring or Fall 2018 is preferred
If interested please email Professor Lee at tarazlee(at)umich(dot)edu or apply at http://careers.umich.edu/job_detail/131324/postdoctoral_fellowship_in_cognitive_neuroscience