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Student Assistant Explainable Artificial Intelligence(m/w/x)
Applying XAI tools to explain ML models for application-oriented research. Python and PyTorch/TensorFlow experience required. Thesis opportunities with industry cooperation.
Requirements
- Enrolled Bachelor's/Master's student in full-time studies in computer science, mathematics, physics, electrical engineering or related courses with good to very good grades
- Programming experience, especially good to very good knowledge of Python
- Experience with machine learning, neural networks, and their implementation (PyTorch, TensorFlow or similar)
- Motivation and Initiative
- Residence in Berlin and surrounding area for on-site work
- Interest in Explainable Artificial Intelligence (XAI)
- XAI for Computer Vision (object detection, semantic segmentation models)
- Spiking Neural Networks
- Neuromorphic Architectures
- Physics-Informed Neural Networks (PINNs) and Operator Learning
- Data Attribution Methods
- Method development in local feature attribution, global and mechanistic interpretability
- Detailed transcript of records and cover letter required
Tasks
- Drive innovative AI research
- Develop and implement AI algorithms
- Apply AI algorithms practically
- Analyze and evaluate AI algorithms
- Use XAI tools to explain machine learning models
- Implement deep learning models
- Improve model efficiency
- Enhance training performance
- Optimize inference behavior
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Thesis opportunities with industry cooperation
- Diversity and inclusion
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Student Assistant Explainable Artificial Intelligence(m/w/x)
Applying XAI tools to explain ML models for application-oriented research. Python and PyTorch/TensorFlow experience required. Thesis opportunities with industry cooperation.
Requirements
- Enrolled Bachelor's/Master's student in full-time studies in computer science, mathematics, physics, electrical engineering or related courses with good to very good grades
- Programming experience, especially good to very good knowledge of Python
- Experience with machine learning, neural networks, and their implementation (PyTorch, TensorFlow or similar)
- Motivation and Initiative
- Residence in Berlin and surrounding area for on-site work
- Interest in Explainable Artificial Intelligence (XAI)
- XAI for Computer Vision (object detection, semantic segmentation models)
- Spiking Neural Networks
- Neuromorphic Architectures
- Physics-Informed Neural Networks (PINNs) and Operator Learning
- Data Attribution Methods
- Method development in local feature attribution, global and mechanistic interpretability
- Detailed transcript of records and cover letter required
Tasks
- Drive innovative AI research
- Develop and implement AI algorithms
- Apply AI algorithms practically
- Analyze and evaluate AI algorithms
- Use XAI tools to explain machine learning models
- Implement deep learning models
- Improve model efficiency
- Enhance training performance
- Optimize inference behavior
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- TensorFlow
Benefits
Flexible Working
- Flexible working hours
Other Benefits
- Thesis opportunities with industry cooperation
- Diversity and inclusion
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
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