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

Position Details

Posting Summary

Position Title Graduate Research Assistant for Evaluation of Energy-Efficient AI Accelerators for Machine Learning Systems (Dr. Mariam Manakkadu) Posting Number AS1111P Subdivision School of Engineering and Computing Division Col. of Engineering & Business Department Computer & Information Science Location Erie, Pa 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.

Required Qualifications

Grad student

Proficiency

C++, Java, Python

Preferred Qualifications

N/A

Physical Demands

none

Exempt Status Non-Exempt Position Classification Professional Position Type GA (Research, Teaching, Athletic Training) Employment Status Part-Time Position Length 4M Hours per Week 10 Work Schedule Office Hours - Depending On Candidate's Schedule Shift 1st

Documents Needed To Apply

Required Documents

• Resume
• Cover Letter

Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).