Intern - Microelectronics Architecture/Hardware Energy Efficiency

Stanford University is offering a summer internship opportunity in Microelectronics Architecture/Hardware Energy Efficiency at SLAC National Laboratory. The intern will estimate energy used in computing hardware systems and work on real-world problems related to energy efficiency in computing, gaining hands-on experience in the field.

What you'll do:

• Identify the different architectures and hardware including those used in machine learning, scientific computing etc
• Identify the instruction
• Outline the nature and quantity of data required for each of the hardware, in discussion with the mentor
• Conduct data analysis to ascertain the quality and verity of data, in partnership with the mentor
• Develop models for estimating energy efficiencies for the problems in working with the mentor
• Carry out Verification, Validation and critical analysis of their estimates
• Refine and develop models to integrate scientific knowledge in the model formulation and training phases
• Prepare reports and scientific publications outlining the advances under the aegis of the mentor

What they're looking for:

• Pursuing a Master's or Doctoral degree in a science, engineering or equivalent discipline
• Strong communication skills
• Ability to work in a collaborative environment
• Passionate about innovative solutions for Science & Engineering problems
• Eligible applicants must be at least 18 years of age, currently enrolled in an educational program or recently graduated, and have US work authorization
• Some prior experience at Python programming would be beneficial

Benefits:

• Growth and mentorship from exceptionally talented engineers and scientists from SLAC and Stanford University.
• A mission-driven, stable, collaborative, highly interdisciplinary, and supportive work environment.
• Opportunity to experience a multidisciplinary research environment, integrating knowledge from many subject areas spanning computer engineering, physical sciences, applied mathematics, and software applications.