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PhD Student AI Methods Powertrain(m/w/x)
Developing AI-based control and decision-making logics for vehicle functions at Volkswagen Group Innovation. Strong programming skills in Python, PyTorch, or MATLAB/Simulink advantageous. 30 vacation days, 35-hour week, up to 80% remote work.
Requirements
- University degree in engineering, computer science, natural sciences, or comparable
- Strong programming skills; Python, PyTorch, MATLAB/Simulink, or similar experience advantageous
- English language level B2
- Machine learning and AI knowledge desirable
- Independent work ability, strong analytical and complex problem-solving skills
- Strong team orientation
Tasks
- Design AI-based control and decision-making logics
- Further develop AI methods for vehicle functions
- Analyze modern optimization and control concepts
- Classify optimization and control concepts for AI
- Implement AI-based control and decision models
- Research adaptive optimization of vehicle functions
- Evaluate AI-supported methods against classical approaches
- Prototype and validate methods in MATLAB or Python
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- MATLAB/Simulink
- machine learning
- AI
Benefits
Flexible Working
- Flexible working hours
- Remote work up to 80%
Competitive Pay
- Attractive salary
More Vacation Days
- 30 vacation days
- 24.12. and 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Scientific exchange
Other Benefits
- Interdisciplinary qualifications
- Exchange with science representatives
Career Advancement
- Doctoral network participation
Informal Culture
- Exchange with other doctoral candidates
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PhD Student AI Methods Powertrain(m/w/x)
Developing AI-based control and decision-making logics for vehicle functions at Volkswagen Group Innovation. Strong programming skills in Python, PyTorch, or MATLAB/Simulink advantageous. 30 vacation days, 35-hour week, up to 80% remote work.
Requirements
- University degree in engineering, computer science, natural sciences, or comparable
- Strong programming skills; Python, PyTorch, MATLAB/Simulink, or similar experience advantageous
- English language level B2
- Machine learning and AI knowledge desirable
- Independent work ability, strong analytical and complex problem-solving skills
- Strong team orientation
Tasks
- Design AI-based control and decision-making logics
- Further develop AI methods for vehicle functions
- Analyze modern optimization and control concepts
- Classify optimization and control concepts for AI
- Implement AI-based control and decision models
- Research adaptive optimization of vehicle functions
- Evaluate AI-supported methods against classical approaches
- Prototype and validate methods in MATLAB or Python
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- MATLAB/Simulink
- machine learning
- AI
Benefits
Flexible Working
- Flexible working hours
- Remote work up to 80%
Competitive Pay
- Attractive salary
More Vacation Days
- 30 vacation days
- 24.12. and 31.12. off
Company Vehicle
- Vehicle purchase and leasing conditions
Learning & Development
- Free seminars on scientific work
- Scientific exchange
Other Benefits
- Interdisciplinary qualifications
- Exchange with science representatives
Career Advancement
- Doctoral network participation
Informal Culture
- Exchange with other doctoral candidates
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Volkswagen AG
Industry
Automotive
Description
CARIAD ist das Automotive-Software-Unternehmen der Volkswagen Group, das Softwareplattformen und digitale Kundenfunktionen entwickelt.
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