Internship in Multidisciplinary Analysis and Optimization and Uncertainty Quantification for Flight Physics Applications

Manching, Germany

Airbus

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Job Description:

Airbus Defence and Space is looking for an


Internship in Multidisciplinary Analysis and Optimization and Uncertainty Quantification for Flight Physics Applications (d/f/m)


Do you want to push boundaries at the heart of Airbus together with a team in Flight Physics? We want to pave the way into a more digital, sustainable and safer future. Come join us.
Flight Physics is responsible for the design and characterization for all Air Power programs along their product life cycle. We use numerical simulations and testing to understand the aircraft behaviour and to create and deliver aircraft representative data for flight performance, aerodynamics, structural dynamics, mass properties, acoustics and vibration.

Location: Manching
Start: as soon as possible
Duration: 4-6 months

We are seeking a highly motivated master’s student to contribute to research and development in the fields of MDAO, UQ and Multi-Fidelity Modeling. You will have the opportunity to work on cutting-edge problems that combine engineering disciplines, computational methods, and uncertainty modeling to optimize aerospace systems. This position is ideal for a student who is passionate about applying advanced computational techniques to real-world engineering challenges. This opportunity provides a unique platform to gain hands-on experience in advanced computational methods. If you are eager to tackle complex problems and collaborate with a dynamic research and development team, we encourage you to apply.


Your location
Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

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

  • Support and perform technologies, process, methods and tool developments for multidisciplinary analysis and optimization in aerospace systems

  • Investigate and apply uncertainty quantification and multifidelity techniques to enhance the reliability of optimization processes

  • Conduct literature reviews to identify state-of-the-art methods in MDAO, UQ, and multifidelity modeling and adapt them to relevant use-cases

  • Collaborate with engineers to identify and address specific challenges in aerospace applications

  • Test, validate, and document methodologies and tools developed during the project

  • Prepare technical reports and presentations to communicate research findings and developments

Desired skills and qualifications

  • Enrolled full-time Master student in the area of Engineering, Computer Science, Applied Mathematics or an equivalent field of study.

  • Basic knowledge of numerical methods, optimization techniques, and computational modeling

  • Familiarity with uncertainty quantification methods such as probabilistic modeling, surrogate modeling, or sensitivity analysis

  • Basic understanding of aerospace systems and multidisciplinary design principles

  • Excellent applied skills in Python and state-of -the art data science frameworks

  • Experience with continuous integration and validation environment (CI/CE) and Git

  • Experience in Machine learning modeling for Engineering applications would be a plus

  • Experience on High Performance Computing and Linux server administration would be a plus

  • Excellent problem-solving skills and a strong interest in computational research.

  • Fluent English language skills

Please upload the following documents: cover letter, CV, relevant transcripts, enrollment certificate. 
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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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Tags: Computer Science Engineering Git HPC Linux Machine Learning Mathematics Physics Python Research Testing

Perks/benefits: Career development Flex hours Startup environment

Region: Europe
Country: Germany

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