Internship: Explainable AI for the qualification of aerospace algorithms
InternshipIn English
About the job
This graduation project or internship at the Royal Netherlands Aerospace Centre (NLR) focuses on explainable AI for qualifying aerospace algorithms. You will investigate how machine learning algorithms can be certified in safety-critical sectors and develop criteria for explainability.
What you will do
- Literature study on qualification of machine learning algorithms in safety-critical sectors and explainability methods
- Identify substantiation needed to qualify an algorithm for a use case and translate into criteria for explanations
- Implement several explainability methods and analyze them against criteria
- Assess how explanations can serve as evidence in qualification and formulate recommendations
What you bring
- MSc student in Aerospace Engineering, Computer Science, Artificial Intelligence, Applied Mathematics or similar
- Strong background in machine learning, preferably deep learning
- Experience with Python and machine learning libraries like PyTorch or scikit-learn
- Affinity with aerospace, inspection or certification
Nice to have
- Knowledge of explainable AI
What you get
- Challenging graduation project or internship in a high-tech result-oriented environment
- Weekly supervision and support from technical staff
- Internship allowance
- Work in an actual R&D project as part of the team
- Internship results used in current and future projects
About Koninklijk Nederlands Lucht- en Ruimtevaartcentrum
The Koninklijk Nederlands Lucht- en Ruimtevaartcentrum (NLR) is the Royal Netherlands Aerospace Centre, a high-tech research organization.
Summary by Personeel.com. The full job description and the application form are on Koninklijk Nederlands Lucht- en Ruimtevaartcentrum's website (werkenbijnlr.recruitee.com); Apply takes you straight there.
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