We are seeking computational neuroscientists to join our interdisciplinary research program in understanding cognitive function at the neural circuit level.  Example research topics of interest include understanding neural circuit function, neural basis of perception, decision-making, learning and memory, and the development and validation of large-scale high-fidelity neural simulations.

Multiple positions for varying levels of experience are available.  To apply, visit http://www.sandia.gov/careers/ and click "View All Jobs".  Type the indicated Job ID into the Keywords box to find the appropriate posting.  For questions please contact Frances Chance (fschanc@sandia.gov), Brad Aimone (jbaimon@sandia.gov), or Glory Emmanuel (gremman@sandia.gov).  Applications received by December 19, 2014 will receive full consideration.

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Technical Staff (Job ID 647552):  The successful applicant for our technical staff position should have a strong background in neuroscience (as evidenced by a Ph. D. in neuroscience, cognitive science, machine learning, or a related field), and experience with current neuroscience research methods and data analysis.   The successful applicant will be expected to contribute to ongoing projects as well as to develop new lines of research and pursue new funding opportunities.  Experience should be commensurate with a beginning assistant professor or higher.

Postdoctoral Position in Computational Neuroscience (Job ID 647564): An advanced degree (Ph. D. or equivalent) in computational neuroscience or a related area is required for this position, as is a strong record of academic performance and publications.  Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills.

Postdoctoral Position in Machine Learning/Computer Science (Job ID 647563): 

An advanced degree (Ph. D. or equivalent) in mathematics or computer science or related area is required for this position; with a preference for those with experience in examining neural computation or developing machine learning approaches based on neural inspiration.  Those with focus on mathematics research areas pertinent to neural systems, such as studies of large dynamical systems, high-dimensional statistics, and dimensionality reduction, are particularly encouraged to apply.  A strong record of academic performance and publications is required.  Other required qualifications include competence in C, C++, Matlab, Python, or a related programming language, and excellent written- and oral-communication skills.