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

Position Summary
Computer and Information Science Student assistant job description should include but not be limited to: 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: 1. Critical Thinking: Multi-task well in a fast-paced autonomous environment. 2. 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.

Physical Demands
none

Required Qualifications
Grad student Proficiency C Java Python

Preferred Qualifications
N/A

Work Schedule
Office Hours - Depending On Candidates Schedule