The Computational Memory Lab is currently seeking applications for the following positions.
Please see below for descriptions, qualifications, and applicable links to the Penn HR recruiting site. Click here for information on Penn's salary structure.
Job Summary: Working under the Project Director, responsible for contributing to the design, specification, development, and testing of neural time series modeling and analysis tools for the Restoring Active Memory (RAM) project; working as part of a multi-disciplinary team of programmers, scientists, and mathematicians to develop requirements for modeling neural time series data, and then translating those requirements into effective algorithm designs; creating visualization tools to analyze neural time series data; and leading the development of algorithms for use in implantable medical devices.
Education and Experience: Master’s degree (or foreign educational equivalent) in Applied Mechanics or Statistics and no experience OR Bachelor’s degree (or foreign educational equivalent) in Applied Mechanics or Statistics combined with four (4) years of relevant experience developing computational models.
• Demonstrated expertise programming in MATLAB, Python or C++.
• Strong quantitative background including statistics, multivariate calculus, differential equations, and Bayesian time series analysis.
Application: To apply, please send resume / CV and academic transcripts to Katherine Hurley <email@example.com>.