Graduate Research Assistant for Evaluation of Energy-Efficient AI Accelerators for Machine Learning Systems (Dr. Mariam Manakkadu)
Gannon University•Erie, PA
•Onsite
About The Position
This position involves assisting with the evaluation of energy-efficient AI accelerators for machine learning systems under the guidance of Dr. Mariam Manakkadu. The role requires strong programming skills, familiarity with machine learning frameworks, and the ability to analyze and summarize research literature. The assistant will be involved in the full software development lifecycle, from research and design to implementation, testing, and deployment.
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
- Excellent writing skill in English
- Grad student
- Proficiency C++, Java, Python
Nice To Haves
- Multi-task well in a fast-paced autonomous environment.
- Prioritize and complete tasks to accomplish organizational goals.
Responsibilities
- Researching, designing, implementing, and managing software programs
- Read research papers
- Analyze and generate solutions 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
- Present the outcomes of your experience at Celebrate Gannon and/or other venues determined by the college.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
