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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
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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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