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Intern in Federated Learning for collaborative Air Combat(m/w/x)
Description
As an intern in Federated Learning for collaborative air combat, you will dive into cutting-edge machine learning techniques, working on both supervised and unsupervised methods to analyze sensor data in innovative ways.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
Benefits
Other Benefits
- •Final thesis opportunity
Informal Culture
- •International environment
Diverse Work
- •Diversified technologies
Flexible Working
- •Flexible working arrangements
- Fraunhofer-GesellschaftFull-time/Part-timeInternshipOn-siteIngolstadt
- Airbus Defence and Space GmbH
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Intern in Federated Learning for collaborative Air Combat(m/w/x)
The AI Job Search Engine
Description
As an intern in Federated Learning for collaborative air combat, you will dive into cutting-edge machine learning techniques, working on both supervised and unsupervised methods to analyze sensor data in innovative ways.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Education
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
Tools & Technologies
Languages
English – Business Fluent
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.
- Fraunhofer-Gesellschaft
Student assistant in the field of "Sensor Data Fusion and Artificial Intelligence"(m/w/x)
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