Machine Learning and Unconventional Computing… at Savannah… · Aiken

Summary: Savannah River National Laboratory is offering an internship research opportunity for graduate students interested in hardware-software co-design of Machine Learning algorithms and unconventional computing paradigms. The intern will contribute to developing and implementing ML solutions for emerging computing platforms. Responsibilities: - The intern will contribute to the hardware-software co-design of ML algorithms for unconventional computing paradigms by implementing and optimizing ML models under some hardware constraints Required Qualifications: - Must be a U.S. Citizen - Currently enrolled in a graduate program or higher in Computer Engineering, Computer Science, or other related disciplines - Must have a minimum GPA of 3.4 or higher and submit a transcript prior to hiring Preferred Qualifications: - Strong Python programming skills - Knowledge and experience in Machine Learning (ML) - Experience with ML frameworks - Experience in electronic circuit design - Excellent written and communication skills - Experience with using the command line (bash) - Experience in or knowledge of optimization techniques and approaches Required Skills: Python, Machine Learning Important Skills: ML frameworks, Electronic circuit design, Optimization techniques Nice-to-Have Skills: Command line (bash)