Intern (d/f/m) Graph neural network (GNN) with reinforcement learning (RL) to solve a scheduling problem

Job Description:

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

Intern (d/f/m) Graph neural network (GNN) with reinforcement learning (RL) to solve a scheduling problem

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: 01.03.2024

• 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.

• Traveling within Germany is possible after consultation and agreement from 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

• Develop a Graph Neural Network with Reinforcement Learning algorithm that could solve a Job shop scheduling problem(JSSP) or/and Resource-constrained project scheduling problem (RCPSP).

• Integration of the developed algorithm in a generic RL library

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

• Present the work and results to the project team.

 

 Desired skills and qualifications

• Enrolled full-time student (d/f/m) in the area of Computer Science, Mathematics or an equivalent field of study.

• Basic knowledge of machine learning and neural network algorithms

• Basic knowledge in combinatorial optimization problems is a plus.

• Experience in graph neural networks and reinforcement learning would be beneficial.

• Programming experience in Python.

• Experience with Python libraries such as Numpy, Matplotlib, scikit-learn, etc. Pytorch is a plus. 

• Experience with cloud computing platforms like AWS is a plus.

• Able to work independently.

• Proficient in English.

 

Please upload the following documents: cover letter, 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

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