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COContinental

Internship/ Master Thesis - Machine Learning and Control Systems(m/w/x)

Hannover
Full-timeInternshipWith Home Office
AI/ML

Developing digital twins for dynamic adaptation of industrial machines using AI in control systems. Proficiency in Python and ML frameworks required. Flexible working hours, attractive remuneration.

Requirements

  • Master student in mechatronics, electrical engineering, mechanical engineering or similar
  • Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch)
  • Knowledge of PLCs and control systems
  • Strong statistics fundamentals
  • Basic understanding of reinforcement learning
  • Teamwork, creativity, and interest in innovative technical solutions
  • Strong communication skills and structured work approach
  • Study regulations with required duration (for mandatory internships)
  • Current certificate of enrolment
  • Current transcript of records
  • Valid residence permit
  • Work permit including supplementary sheet

Tasks

  • Contribute to real-world industrial challenges
  • Optimize machines through data-driven solutions
  • Collaborate with an innovative team
  • Explore AI methodologies in control systems
  • Develop digital twins for dynamic adaptation
  • Experiment with time-series and tabular machine learning models
  • Apply signal processing techniques
  • Improve model performance through feature engineering
  • Develop adaptive control systems
  • Deploy models in production environments
  • Industrialize machine learning models

Education

  • Currently in higher education

Languages

  • EnglishBusiness Fluent
  • GermanBusiness Fluent

Tools & Technologies

  • Python
  • TensorFlow
  • PyTorch
  • PLCs
  • control systems

Benefits

Flexible Working

  • Flexible working hours

Competitive Pay

  • Attractive remuneration

Informal Culture

  • International and dynamic work environment

Other Benefits

  • Qualified support from specialists
  • Diversity and Inclusion

Healthcare & Fitness

  • Health-oriented workplace
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Continental and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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