Position Details
About this role
Co-op opportunity for electrical/ME students to build a Python-based AI system for real-time anomaly detection in an endurance test lab. Responsibilities include processing data, training ML models, visualizing results, and integrating monitoring code.
Key Responsibilities
- Develop software requirements to guide application development
- Use Python libraries to process data
- Train ML models for anomaly detection
- Visualize data with Matplotlib
- Update Endurance Lab Windows CVI code and integrate monitoring code
Technical Overview
Stack centers on Python data science libraries (Pandas, NumPy, Scikit-Learn, Matplotlib) with a Windows CVI codebase; involves ML model training and real-time data analysis in an endurance lab environment.
Ideal Candidate
The ideal candidate is an undergraduate or graduate student pursuing electrical or mechanical engineering with a budding interest in programming and AI. They should be capable of working on Python-based data processing and ML tasks, collaborating with a team, and delivering tasks within a co-op term.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Not pursuing a Bachelor's or Master's in Electrical/Mechanical Engineering, Not authorized to work in the U.S. / sponsorship not available
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