[CogSci] Postdoc in systems or computational neuroscience at Brandeis (Boston Area)

[Paul Miller]

Postdoc in systems or computational neuroscience at Brandeis (Boston Area)

The Miller and Katz labs are looking for a postdoctoral researcher with 
expertise in two or more of the following areas: electrophysiology, 
optogenetics, animal behavior, data analysis, and/or computational 
modeling. The postdoc will work on a collaborative project, which is 
funded by the BRAIN initiative. The project’s goal is to uncover the 
dynamics and neural circuitry underlying the ongoing consumption 
decisions that occur when an animal is choosing between different tastes 
or olfactory stimuli. The ideal candidate will be highly motivated, 
bring relevant skills based on past experience, be willing and able to 
develop new project-related skills, and be good at communicating with 
others in both experimental and computational labs.

Any interested candidate should contact Paul Miller at 
pmiller at brandeis.edu <mailto:pmiller at brandeis.edu>, indicating areas of 
expertise and which areas of the project (in particular experiment 
versus modeling) are of greatest interest. A C.V. and the names and 
contact details of three faculty willing to provide recommendations 
should accompany the application. The position is available as of now 
and is open until a suitably qualified candidate is appointed.

The appointee will work in either the Katz Lab or Miller Lab at Brandeis 
University in Waltham MA (in the Greater Boston Metro area), a liberal 
arts college with a very strong research community, particularly in the 
life sciences. Salary will be on the NIH scale (experience-dependent, 
starting at $48 432).

Brandeis University has a strong institutional commitment to the 
achievement of excellence and diversity.Women and underrepresented 
minority candidates are encouraged to apply.Brandeis University is an 
affirmative action/equal opportunity employer.All qualified applicants 
will receive consideration for employment without regard to race, color, 
religion, sex, sexual orientation, gender identity, national origin, 
disability, age or protected veteran status.

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