AIRBUS – Quantum enhanced Graph neural network (m/f/d)

published since: 

Job Description:

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

Intern (d/f/m) Quantum enhanced Graph neural network

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: 01.07.2024
Duration: 6 months

1XRD is the Artificial Intelligence domain of Central Research & Technology composed of researchers and research engineers in artificial intelligence working to develop technologies bridging the gap between research and business. The team collaborates with academics and stirs research projects to push the state-of-the art towards solving Airbus relevant problems.

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 benefits

  • Attractive salary and work-life balance with a 35-hour week (flexitime).

  • A final thesis is possible after consultation with the department.

  • International environment with the opportunity to network globally.

  • Work with modern/diversified technologies.

  • At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings.

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

Your tasks and responsibilities

  • Conduct research and literature reviews.

  • Develop a classical Graph Neural Network algorithm and a Quantum enhanced Graph Neural Network algorithm.

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

  • Compare the performance of the algorithms developed on the given use case.

  • Present the work and results to the team.

Desired skills and qualifications

  • Currently pursuing a master's degree or PhD in a relevant field (e.g.,Computer Science, Mathematics, Physics, Quantum Computing and similar fields).

  • Basic knowledge of machine learning and neural network algorithms. Experience in Graph Neural Networks is a plus.

  • Basic understanding of Quantum Computing and Quantum Machine learning algorithms.

  • Programming experience in Python. Pytorch is a plus.

  • Basic experience in Qiskit.

  • Fluent English language skills.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities


Find further information and the link to the application form here!