Offers “Airbus”

25 days agoAirbus

Internship in Artificial Intelligence: Uncertainty quantification for neural networks (d/w/m)

  • Praktikum
  • Haar (Landkreis München)
  • Teaching

Job description

Airbus Defence and Space GmbH

Airbus is a global leader in aeronautics, space and related services. In 2019 it generated revenues of € 70.5 billion and employed a workforce of around 134,000. Airbus offers the most comprehensive range of passenger airliners. Airbus is also a European leader providing tanker, combat, transport and mission aircraft, as well as one of the world’s leading space companies. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions worldwide.

Our people work with passion and determination to make the world a more connected, safer and smarter place. Taking pride in our work, we draw on each other's expertise and experience to achieve excellence. Our diversity and teamwork culture propel us to accomplish the extraordinary - on the ground, in the sky and in space.

Job Description

Internship title

Uncertainty estimation and confidence calibration for deep neural networks


Are you looking for an internship in artificial intelligence research? Would you like to discover the work of an artificial intelligence researcher/data scientist? Then apply now! We look forward to you joining us as a student (d/f/m) at Airbus Central Research and Technology, XRD. (35 hours/week, flexi-time).

As a student within XRD you will gain an insight into our research on next-after-next generation artificial intelligence (and data science) algorithms and solutions for challenges across all Airbus divisions within an international and multidisciplinary team, working together across multiple countries.

Location: Taufkirchen/Munich

Start: as soon as possible

Duration: 3-6 months

Internship topic

Despite the success of deep learning in many application areas, neural networks still suffer from some major shortcomings. That might unfortunately limit their use especially in safety-critical scenarios. One severe limitation is the complete lack of predictive uncertainty estimates and well-calibrated confidence scores.

Within the frame of this internship, we therefore want to explore potential solutions together with you. This may include post-hoc calibration methods such as temperature scaling or Bayesian approaches for training neural networks such as variational inference. Moreover, this might also involve conformal prediction.

We offer you some exciting tasks :

·  Conduct a comprehensive literature review on recent algorithms for uncertainty quantification and confidence calibration in the context of deep learning
·  Choose or refine which of those topics you would like to work on
·  Implement cutting-edge methods and develop new algorithmic solutions
·  Work on public datasets (e.g. MNIST) or real-world safety-critical use cases

You offer :

·  Enrolled full time student within Computer Science, Engineering, Data Science, Mathematics, Statistics, or a similar field of study
·  Experience with Python and its ecosystem, preferably including TensorFlow or PyTorch
·  Knowledge of machine learning, neural networks, probability theory and statistics
·  Fluency in English

You are a good team player, have excellent communication skills, and are able to work independently.

Does this job description fit your objectives and profile? Take the next step in your career and come and join us!

How to apply :

Online via

Reference number

Please provide the following documents: cover letter, C.V., relevant certificates, current certificate of enrolment

You can direct your cover letter to: (Name RBP).

Should you have general questions regarding this position you can write an E-Mail to:

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.
Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

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