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Internship (d/f/m) in Uncertainty Quantification for Vision-Based Landing

Job Description:

Are you looking for an internship or master thesis and want to get to know the work of an AI Researcher (d/f/m)?  Then apply now! We look forward to you supporting us in the Airbus Central Research & Technology Team as an intern/master student (d/f/m)! 

  •  Location: Ottobrunn

  • Start: Dec 2024–Mar 2025

  • Duration: 6 months

The internship/master thesis will take place within the Artificial Intelligence Research unit of Airbus Central Research & Technology and based in Taufkirchen (near Munich, DE). The team is working on exploring, adapting, and maturing deep-learning technologies to bridge the gap between state-of-the-art research and the challenges of real-life Airbus applications. 

You will work on uncertainty quantification in the context of vision-based aircraft landing — and your research will focus on the intersection between Bayesian deep learning and computer vision. 

Your location

Our site is just a stone's throw away from Munich, the beautiful capital of Bavaria. Are you into sports and other outdoor activities? The Alps and Lake Starnberg are within an hour’s reach, offering a multitude of recreational options.

Your tasks and responsibilities

  • Develop uncertainty-quantification methods for deep learning.

  • Benchmark the performances of the developed algorithm with current state of the art solutions.

  • Present the work and results to the project team and the Airbus AI community.

 Desired skills and qualifications

  • Enrolled fulltime student (d/f/m) within Computer Science or a similar field of study.

  • Strong background in machine learning (e.g. projects, internships, work experience, etc.).

  • Experience with Bayesian methods / uncertainty quantification in machine learning (e.g. Laplace approximation, variational inference, deep ensembles, etc.) is a big plus.

  • Experience in computer vision (object detection and pose estimation) is also a plus.

  • Strong coding skills in Python and PyTorch.

  • Good working level in English.

Your benefits

  • Work-life balance with a 35-hour week (flexitime).

  • A successful internship can potentially be the starting point for a master thesis (for an additional six months).

  • International environment with the opportunity to network globally.

  • Work with modern/diversified technologies.

  • Opportunity to participate in the Generation Airbus Community to expand your own network.

 

Please upload the following documents: CV, relevant transcripts, enrollment certificate.

 

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

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.

Company:

Airbus Defence and Space GmbH

Employment Type:

Internship

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Experience Level:

Student

Job Family:

Support to Management

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.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.

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Internship (d/f/m) in Uncertainty Quantification for Vision-Based Landing

München
Vollzeit, Befristet, Praktikum / Werkstudent:in

Veröffentlicht am 06.12.2024

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