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EAEaselink

Master Thesis / Student Assistant(m/w/x)

Graz
Full-time, Part-timeApprenticeshipOn-site
AI/ML

Developing computer-vision for Matrix Charging or analyzing AC arcing at automated EV charging interfaces for an e-mobility charging tech company. Master’s degree in relevant engineering or science field required. Access to dedicated test benches, contribution to international technology rollout.

Requirements

  • Master’s degree in Automotive Engineering, Electronics, Mechatronics, Computer Science, Physics, or similar

Tasks

  • Write your Master’s thesis
  • Join the team as a working student or intern in Electronics, Software, or related fields
  • Develop a computer-vision-based positioning system for Matrix Charging
  • Analyze AC arcing and contact degradation at an automated EV charging interface for safety and reliability
  • Implement flooding detection and environmental monitoring of an EV charging pad
  • Facilitate power line communication over an automated charging interface for data transfer according to ISO 15118
  • Enhance UWB positioning between vehicle and charging pad using machine learning

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent

Benefits

Flexible Working

  • Flexible working hours

Startup Environment

  • Insight into a fast-growing deep-tech company

Mentorship & Coaching

  • Supervision from experienced engineers

Modern Equipment

  • Access to dedicated test benches

Diverse Work

  • Opportunity to contribute to an international technology rollout
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