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Global Trainee - Production Process Development - Battery Systems/Modules(m/w/x)
Virtual validation of battery production processes using Digital Twins and AI-based optimization at commercial vehicle manufacturer. Engineering degree with a focus on digital modeling or data analysis required. 80% remote work with 20 days of EU-wide mobile working per year.
Requirements
- Excellent degree in engineering or comparable
- Academic focus or interest in Digital Twin
- Advantageous initial experience in data analysis
- Analytical mindset and digital technology enthusiasm
- High motivation, initiative and learning willingness
- Desirable international experience of three months
- Fluent English and advantageous German skills
Tasks
- Drive E-mobility and digitalization transformation
- Gain insights into various global company areas
- Develop and apply Digital Twins
- Use AI-based analysis and optimization methods
- Validate battery production processes virtually
- Improve production through data-driven methods
- Industrialize battery production processes
- Develop production processes for battery systems
- Design and build production equipment Digital Twins
- Develop Digital Twins for process chains
- Apply simulation to validate assembly technologies
- Use virtual commissioning for joining technologies
- Analyze production and sensor data
- Optimize quality, cost, and throughput
- Improve production energy efficiency
- Develop AI and machine-learning use cases
- Implement anomaly detection and quality prediction
- Execute predictive maintenance use cases
- Support transition from prototype to series production
- Transfer digital solutions into real operations
- Collaborate with production and planning teams
- Work with development, IT, and data analytics
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- MATLAB
- SQL
Benefits
Flexible Working
- Trust-based working hours
- 80% remote work
- 20 days EU remote work
Competitive Pay
- Attractive remuneration
Bonuses & Incentives
- Special payments
Learning & Development
- Customizable global trainee program
- Targeted training measures
- Digital learning
Mentorship & Coaching
- Mentoring
Diverse Work
- AI project involvement
Workation & Sabbatical
- International assignments
Career Advancement
- Strong global network
- Global career opportunities
Startup Environment
- Innovative working environment
More Vacation Days
- 30 days vacation
- Vacation conversion options
Corporate Discounts
- Employee discounts
Company Vehicle
- VW leasing offers
Retirement Plans
- Company pension scheme
Not a perfect match?
- MAN Truck & BusFull-timeWith HomeofficeJuniorNürnberg, München
- MAN Truck & Bus
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Global Trainee - Production Process Development - Battery Systems/Modules(m/w/x)
Virtual validation of battery production processes using Digital Twins and AI-based optimization at commercial vehicle manufacturer. Engineering degree with a focus on digital modeling or data analysis required. 80% remote work with 20 days of EU-wide mobile working per year.
Requirements
- Excellent degree in engineering or comparable
- Academic focus or interest in Digital Twin
- Advantageous initial experience in data analysis
- Analytical mindset and digital technology enthusiasm
- High motivation, initiative and learning willingness
- Desirable international experience of three months
- Fluent English and advantageous German skills
Tasks
- Drive E-mobility and digitalization transformation
- Gain insights into various global company areas
- Develop and apply Digital Twins
- Use AI-based analysis and optimization methods
- Validate battery production processes virtually
- Improve production through data-driven methods
- Industrialize battery production processes
- Develop production processes for battery systems
- Design and build production equipment Digital Twins
- Develop Digital Twins for process chains
- Apply simulation to validate assembly technologies
- Use virtual commissioning for joining technologies
- Analyze production and sensor data
- Optimize quality, cost, and throughput
- Improve production energy efficiency
- Develop AI and machine-learning use cases
- Implement anomaly detection and quality prediction
- Execute predictive maintenance use cases
- Support transition from prototype to series production
- Transfer digital solutions into real operations
- Collaborate with production and planning teams
- Work with development, IT, and data analytics
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- MATLAB
- SQL
Benefits
Flexible Working
- Trust-based working hours
- 80% remote work
- 20 days EU remote work
Competitive Pay
- Attractive remuneration
Bonuses & Incentives
- Special payments
Learning & Development
- Customizable global trainee program
- Targeted training measures
- Digital learning
Mentorship & Coaching
- Mentoring
Diverse Work
- AI project involvement
Workation & Sabbatical
- International assignments
Career Advancement
- Strong global network
- Global career opportunities
Startup Environment
- Innovative working environment
More Vacation Days
- 30 days vacation
- Vacation conversion options
Corporate Discounts
- Employee discounts
Company Vehicle
- VW leasing offers
Retirement Plans
- Company pension scheme
About the Company
MAN Truck & Bus
Industry
Automotive
Description
The company is one of Europe's leading commercial vehicle manufacturers and providers of transportation solutions.
Not a perfect match?
- MAN Truck & Bus
Global Trainee Produktionsprozessentwicklung Batteriesystem/-modul(m/w/x)
Full-timeWith HomeofficeJuniorNürnberg, München - MAN Truck & Bus
Global Trainee Business Development(m/w/x)
Full-timeWith HomeofficeJuniorNürnberg, München - Siemens AG
Mandatory Internship - Energy systems, flexibility provision, operation and modelling of thermal systems(m/w/x)
Full-timeInternshipWith HomeofficeErlangen, München - MAN Truck & Bus
Global Trainee Business Development(m/w/x)
Full-timeWith HomeofficeExperiencedNürnberg, München - Sumitomo (SHI) Demag Plastics Machinery GmbH
Masteranden für den Bereich Entwicklung - Entwicklung eines Qualitätsvorhersage-Modells für Spritzgießteile(m/w/x)
Full-timeInternshipWith HomeofficeSchwaig bei Nürnberg