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Internship/ Master Thesis - Machine Learning and Control Systems(m/w/x)
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
- English – Business Fluent
- German – Business 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
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Internship/ Master Thesis - Machine Learning and Control Systems(m/w/x)
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
- English – Business Fluent
- German – Business 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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Continental
Industry
Manufacturing
Description
Das Unternehmen ist eine Tochterfirma der Continental AG und gehört zu einem der führenden Industriespezialisten weltweit.
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