Graduate Research Assistant for Evaluation of Energy-Efficient AI Accelerators for Machine Learning Systems (Dr. Mariam Manakkadu)

Posting Number AS1111P | Part-Time Graduate Research Assistant position (4 months, 10 hours per week) in the School of Engineering and Computing, Erie, Pa.

About the Role

This Graduate Research Assistant position under Dr. Mariam Manakkadu focuses on evaluating energy-efficient AI accelerators for machine learning systems. The role involves researching, designing, implementing, and managing software programs, as well as analyzing research literature and applying machine learning techniques.

Responsibilities

• Research, design, implement, and manage software programs
• Read, analyze, and summarize research literature
• Analyze problems and generate solutions
• Browse GitHub repositories, collect data, and apply data mining and machine learning techniques
• Write and implement efficient scripts
• Determine operational practicality of solutions
• Develop quality assurance procedures
• Deploy software tools, processes, and metrics
• Maintain and upgrade existing systems
• Work closely with other developers and the supervising professor
• Present outcomes at Celebrate Gannon and/or other college-determined venues

Requirements

• Graduate student in Computer and Information Science or related field
• Strong programming skills in Python and C/C++
• Familiarity with machine learning frameworks such as PyTorch or TensorFlow
• Strong analytical, problem-solving, and documentation skills
• Excellent writing skills in English
• Ability to multi-task in a fast-paced, autonomous environment
• Proficiency in C++, Java, and Python

Skills

• Critical Thinking
• Professionalism and task prioritization
• Dissemination of research results

Schedule

• Part-time (10 hours per week, 4-month position)
• Office hours flexible, depending on candidate’s schedule
• 1st shift