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Thesis Autonomous Battery Manufacturing Optimization(m/w/x)
Developing AI models for autonomous battery manufacturing, focusing on surrogate models and active learning strategies. Python, Pandas, NumPy, and ML framework experience (Scikit-learn, PyTorch, TensorFlow) essential. Flexible working hours, mobile work, comprehensive mentoring.
Requirements
- Studies in computer science, data science, engineering, or a related field
- Experience with Python and data handling using Pandas and NumPy
- Knowledge of machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow
- Familiarity with SQL databases and data extraction
- Interest in agentic AI, RAG systems, and automation concepts
- Experience with web technologies such as React.js, Streamlit, or Plotly
- Good English skills; German skills are an advantage
Tasks
- Extract and process data from SQL databases and Excel files
- Transform and featurize data for predictive modeling
- Capture inter-stage interactions
- Develop surrogate models
- Implement active learning strategies for experiment selection
- Design an agentic AI feedback loop using RAG systems
- Create interactive dashboards for process monitoring and visualization
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- TensorFlow
- SQL
- React.js
- Streamlit
- Plotly
Benefits
Competitive Pay
- Attractive and fair compensation
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Other Benefits
- Personal and professional development
- Apartments for students
Flexible Working
- Flexible working hours
- Mobile work
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Thesis Autonomous Battery Manufacturing Optimization(m/w/x)
Developing AI models for autonomous battery manufacturing, focusing on surrogate models and active learning strategies. Python, Pandas, NumPy, and ML framework experience (Scikit-learn, PyTorch, TensorFlow) essential. Flexible working hours, mobile work, comprehensive mentoring.
Requirements
- Studies in computer science, data science, engineering, or a related field
- Experience with Python and data handling using Pandas and NumPy
- Knowledge of machine learning frameworks such as Scikit-learn, PyTorch, or TensorFlow
- Familiarity with SQL databases and data extraction
- Interest in agentic AI, RAG systems, and automation concepts
- Experience with web technologies such as React.js, Streamlit, or Plotly
- Good English skills; German skills are an advantage
Tasks
- Extract and process data from SQL databases and Excel files
- Transform and featurize data for predictive modeling
- Capture inter-stage interactions
- Develop surrogate models
- Implement active learning strategies for experiment selection
- Design an agentic AI feedback loop using RAG systems
- Create interactive dashboards for process monitoring and visualization
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- Pandas
- NumPy
- Scikit-learn
- PyTorch
- TensorFlow
- SQL
- React.js
- Streamlit
- Plotly
Benefits
Competitive Pay
- Attractive and fair compensation
Mentorship & Coaching
- Comprehensive mentoring and onboarding
Other Benefits
- Personal and professional development
- Apartments for students
Flexible Working
- Flexible working hours
- Mobile work
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
Not a perfect match?
- FEV Europe GmbH
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Intern Electromobility and Battery Cell Technology(m/w/x)
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