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Intern in Federated Learning for collaborative Air Combat(m/w/x)
Conducting experiments and implementing algorithms on standalone devices for air combat systems at aerospace manufacturer. Full-time student enrollment in Data Science or related field, with Python programming experience (PyTorch/TensorFlow) essential. Final thesis opportunity, flexible working arrangements.
Requirements
- Enrollment as a full-time student in Data Science, Computer Vision, Deep Learning, Machine Learning, or related field
- Interest in algorithmic machine learning, evaluation metrics, and experimental research
- Project experience in Data Science
- Familiarity with scientific research domain
- Programming experience with Python, including PyTorch, TensorFlow, or scikit-learn
- Experience with Version Control Systems, e.g., GIT
- Experience with clustering/classification algorithms
- Experience with Docker and Kubernetes
- Good communication skills in English
- Awareness of compliance risks and commitment to integrity
Tasks
- Research and implement clustering algorithms
- Research and implement classification algorithms
- Design evaluation pipelines
- Implement evaluation pipelines
- Conduct experiments on standalone devices
- Conduct experiments on distributed setups
- Visualize and interpret results
- Document and present findings
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- scikit-learn
- GIT
- Docker
- Kubernetes
Benefits
Other Benefits
- Final thesis opportunity
Informal Culture
- International environment
Diverse Work
- Diversified technologies
Flexible Working
- Flexible working arrangements
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Intern in Federated Learning for collaborative Air Combat(m/w/x)
Conducting experiments and implementing algorithms on standalone devices for air combat systems at aerospace manufacturer. Full-time student enrollment in Data Science or related field, with Python programming experience (PyTorch/TensorFlow) essential. Final thesis opportunity, flexible working arrangements.
Requirements
- Enrollment as a full-time student in Data Science, Computer Vision, Deep Learning, Machine Learning, or related field
- Interest in algorithmic machine learning, evaluation metrics, and experimental research
- Project experience in Data Science
- Familiarity with scientific research domain
- Programming experience with Python, including PyTorch, TensorFlow, or scikit-learn
- Experience with Version Control Systems, e.g., GIT
- Experience with clustering/classification algorithms
- Experience with Docker and Kubernetes
- Good communication skills in English
- Awareness of compliance risks and commitment to integrity
Tasks
- Research and implement clustering algorithms
- Research and implement classification algorithms
- Design evaluation pipelines
- Implement evaluation pipelines
- Conduct experiments on standalone devices
- Conduct experiments on distributed setups
- Visualize and interpret results
- Document and present findings
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
- scikit-learn
- GIT
- Docker
- Kubernetes
Benefits
Other Benefits
- Final thesis opportunity
Informal Culture
- International environment
Diverse Work
- Diversified technologies
Flexible Working
- Flexible working arrangements
About the Company
Airbus Defence and Space GmbH
Industry
Aerospace
Description
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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