Boeing Deutschland GmbH - BDG
Intern - Student Engineer (Multi-Skill)(m/w/x)
Part-timeInternshipOn-site
Neu-Isenburg
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THThe Boeing Company
Working student for Future Flight Operations Research(m/w/x)
Neu-Isenburg
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Researching cabin accessibility, urban air mobility, and autonomy applications in aviation with machine learning. Enrollment in Aerospace, CS, or ML Master's/Bachelor's degree required. Focus on cutting-edge research topics.
Requirements
- Enrollment in Master’s or Bachelor’s degree in Aerospace, Human Factors/Psychology, Computer Science, Data Analytics/Science, Autonomy, Medical Technology, UI/UX, or Machine Learning
- Ability to work well in an international team and be proactive
- Ability to think abstractly and connect ideas to products and solutions
- Enthusiasm for new projects and shaping ideas
- Flexibility and adaptability to handle new topics
- Fluency in English, both written and verbal
- Existing rights to work in Germany
- German language skills beneficial
- Current legal authorization to work immediately in Germany
Tasks
- Conduct research on future flight operations
- Explore cabin accessibility solutions
- Investigate urban air mobility trends
- Analyze autonomy applications in aviation
- Apply machine learning techniques to projects
- Collaborate with international teams and stakeholders
- Contribute innovative ideas in an interdisciplinary lab environment
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of The Boeing Company 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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THThe Boeing Company
Working student for Future Flight Operations Research(m/w/x)
Neu-Isenburg
Part-timeWorking StudentOn-site
AI/ML
Data Science
Nejo AI Summary
Researching cabin accessibility, urban air mobility, and autonomy applications in aviation with machine learning. Enrollment in Aerospace, CS, or ML Master's/Bachelor's degree required. Focus on cutting-edge research topics.
Requirements
- Enrollment in Master’s or Bachelor’s degree in Aerospace, Human Factors/Psychology, Computer Science, Data Analytics/Science, Autonomy, Medical Technology, UI/UX, or Machine Learning
- Ability to work well in an international team and be proactive
- Ability to think abstractly and connect ideas to products and solutions
- Enthusiasm for new projects and shaping ideas
- Flexibility and adaptability to handle new topics
- Fluency in English, both written and verbal
- Existing rights to work in Germany
- German language skills beneficial
- Current legal authorization to work immediately in Germany
Tasks
- Conduct research on future flight operations
- Explore cabin accessibility solutions
- Investigate urban air mobility trends
- Analyze autonomy applications in aviation
- Apply machine learning techniques to projects
- Collaborate with international teams and stakeholders
- Contribute innovative ideas in an interdisciplinary lab environment
Education
- Currently in higher education
Languages
- English – Business Fluent
- German – Basic
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of The Boeing Company 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
The Boeing Company
Industry
Aerospace
Description
The company innovates and collaborates to make the world a better place, contributing to work that matters across various domains.
Not a perfect match?
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