Job Title: FB10859 Intern - Full-Time
ASSIGNMENT DURATION: Summer 2017 SCHEDULED WORK WEEK HOURS: 40 Hours/Week
EDUCATION DESIRED: Undergraduate or Graduate level student in Computer Science, Statistics, or related discipline.
ESSENTIAL JOB FUNCTIONS: Implement, and evaluate spiking neural network models to solve Bayesian inference problems. Use software tools and interfaces to configure and run spiking neural network hardware.
EXPERIENCE DESIRED: Coursework in computational neuroscience, Bayesian statistics, machine learning or computer science.
KNOWLEDGE DESIRED: Knowledge and/or research experience in the development, implementation, and evaluation of spiking neural networks and/or Bayesian inference models. Programming experience in C, C++, Python, or Matlab. Familiarity with Linux development environment is desired, but not necessary.
ESSENTIAL PHYSICAL/MENTAL REQUIREMENTS: N/A
SPECIAL REQUIREMENTS: U.S. citizenship or permanent resident status required.
If interested please send a resume to [hidden email]<mailto:[hidden email]>.
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