Job Description

This is a Co-op Opportunity for engineering students to build a Python-based AI system for real-time anomaly detection in an endurance test lab for electro-mechanical brake systems.

• Project: Develop a system to analyze live sensor data, predict component wear, and flag potential failures.
• Core Responsibilities: * Develop software requirements to guide application development. * Use Python libraries (Pandas, NumPy, Scikit-Learn) to process data. * Train machine learning models for anomaly detection. * Visualize data with Matplotlib.
• Additional Responsibilities: * Update Endurance Lab Windows CVI code as required. * Integrate monitoring code into the Endurance Test program.
• Work-scope options: * Full-time Summer semester * Full-time Fall semester * Part-time (20 hours/week) work/school summer and/or fall

Qualifications

• Must be pursuing a Bachelor's or Master's degree from a 4 year university, preferably in Electrical Engineering or M echanical Engineering with an interest in programming.

  • Junior, senior, or 1st-year graduate student preferred.

• Preferred Skills:

  • Foundational experience in a programming language such as Python, C, C++, etc.
  • Strong interest in AI and data science.
  • Self starting, results oriented, flexible, team player.
  • Demonstrates a strong sense of teamwork.
  • Ability to coordinate and manage multiple tasks simultaneously.
  • Meet deadlines on assigned tasks, utilize project timeline tools, effectively communicate goals and results.

Additional Information

Equal Opportunity Employer, including disability / veterans.

Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization is not available.

Compensation & Benefits:

• Competitive hourly wage
• Paid Holidays
• Seniority accrual and guaranteed wage increases when returning for multiple terms
• Rewarding learning experience
• Post-graduation competitive advantage gained through practical work experience