Graduate Research Assistant for Evaluation of Energy-Efficient AI Accelerators for Machine Learning Systems
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Role details
Tech stack
Requirements
Strong programming skills in Python and C/C++
Familiarity with machine learning frameworks such as PyTorch or TensorFlow
Ability to read, analyze, and summarize research literature
Strong analytical, problem-solving, and documentation skills
Researching, designing, implementing, and managing software programs Read research papers Analyze and generate solution to the given problem Browse GitHub repositories and collect data, apply data mining and machine learning techniques as required Writing and implementing efficient scripts Determining operational practicality Developing quality assurance procedures Deploying software tools, processes, and metrics Maintaining and upgrading existing systems Working closely with other developers and professor Excellent writing skill in English
NACE Competencies
Critical Thinking: Multi-task well in a fast-paced autonomous environment. Professionalism: Prioritize and complete tasks to accomplish organizational goals.
Dissemination of Results
Present the outcomes of your experience at Celebrate Gannon and/or other venues determined by the college., Grad student, Senior (5+ years of experience)
Tagged as: Academia, Classification, Data Mining, Machine Learning, NLP, United States
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