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Internship for Investigation of AI-based Image Augmentation

icon building Unternehmen : Airbus
icon briefcase Auftragstyp : Praktikum

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Arbeitsbeschreibung - Internship for Investigation of AI-based Image Augmentation

Job Description:

In order to support the department "Mission Systems Concepts" Airbus Defence and Space is looking for an

Internship for Investigation of AI-based Image Augmentation (d/f/m)

We are looking for a creative intern who is willing to investigate and apply image augmentation technologies. The internship will focus on developing, evaluating, and benchmarking generative and transformational models that create realistic, diverse augmented images for downstream tasks such as classification, detection, and segmentation.

You will be working closely within our motivated and young team on the development of solutions for Cross-Platform Mission Systems. By working with us you have the chance to learn agile software development, automated testing and modern software engineering considering quality and time.

Are you looking for an internship and want to support us?  Then apply now! We look forward to receiving you application! 

  • Location: Manching

  • Start: As soon as possible

  • Duration: 4 - 6 months

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).

  • 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

  • Literature review of latest papers and technologies (e.g., GANs, diffusion models)
  • Familiarization with the development environment.
  • Analysis and creation of image datasets for the task
  • Implementation and training of the model
  • Calculation of KPIs and documentation of results

 Desired skills and qualifications

  • Bachelor / Master student in Computer Science / Mathematics / AI / related field
  • Good programming skills in Python
  • Knowledge of machine learning libraries
  • Experience with image generation and respective models
  • Basic skills in software development processes, Linux, GIT/SVN
  • Good team player with good English skills

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

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 [email protected].

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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