Job Description:In order to support the Airbus Central Research & Technology Team, Airbus is looking for anIntern (d/f/m) Uncertainty Quantification in Deep Learning / Computer VisionAre you looking for an internship and want to get to know the work of an AI Researcher (d/f/m)?  Then apply now! We l

Intern (d/f/m) Uncertainty Quantification in Deep Learning / Computer Vision

Airbus • 
Wichita, Kansas, United States
Position Type: Permanent
Job Description:

Job Description:

In order to support the Airbus Central Research & Technology Team, Airbus is looking for an

Intern (d/f/m) Uncertainty Quantification in Deep Learning / Computer Vision

Are you looking for an internship 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 (d/f/m)! 

  • Location: Ottobrunn

  • Start: 01.10.2024

  • Duration: 6 months

The internship 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. This internship will include dedicated supervision and therefore requires a strong motivation and commitment.

Your location

Our site is just a stone&39;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
  • Strong background in machine learning (e.g. thesis, projects, internships, etc.).

  • Experience with Bayesian methods / uncertainty quantification in machine learning (e.g. variational inference or Laplace approximation) is a must.

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

  • Decent coding skills in Python.

  • Decent coding skills in 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&64;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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