Master thesis student in the field of AI Production Environment (d/f/m)

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Job Description:

Airbus Operations is looking for a

Master Thesis student in the field of AI Production Environment (d/f/m)

You are looking for a master thesis? Then apply now! We look forward to you supporting us as a Masterand (d/f/m)!

Location: Bremen / Stuhr
Start: as soon as possible
Duration: 1 year

Your location
Bremen is a charming city full of history in the northwest of Germany. In addition to being one of the country’s greenest cities, it offers wonderful sights, a rich culture, urban flair and culinary delights. It’s also a great place for seaside lovers, being located just an hour’s drive from the North Sea coast.

Your benefits

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

  • Mobile working after agreement 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 a comprehensive study and review of the latest AI technologies and methodologies relevant to production environments.

  • Evaluate the applicability of various AI models for optimizing processes such as [specify relevant processes, e.g., process optimization, defect detection, etc.].

  • Analyze and benchmark the performance of AI systems, comparing them with existing solutions and approaches.

  • Collaborate with production teams to understand the challenges and constraints of deploying AI models in real-time.

  • Document findings, results, and challenges in a comprehensive thesis report, with the potential to contribute to publications or white papers.

  • Propose future AI enhancements or solutions based on the evaluation.

Desired skills and qualifications

  • Currently enrolled in a Master’s program in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.

  • Experience with AI development frameworks.

  • Familiarity with data preprocessing, model training, and hyperparameter tuning.

  • Programming proficiency in Python or related programming languages.

  • Strong analytical, problem-solving, and communication skills.

  • Ability to work independently and as part of a team in a fast-paced production environment. 

  • English C1-C2 and German B1 (at least)

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 Operations GmbH

Employment Type:

Final-year Thesis

——-

Experience Level:

Student

Job Family:

Digital

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.

Apply now
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