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

Hamburg - Finkenwerder

Airbus

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Job Description:

In order to support the Automated Visual Inspection,  Airbus Operations is looking for a

Master 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 in the Automated Visual Inspection as a master student(d/f/m)!

  • Location: Hamburg

  • Start: 01.01.2025

  • Duration: 6  months

Your location

You will be working at the largest production site for civil aircraft situated in Hamburg. Its location on the southern banks of the river Elbe includes the option to commute by ferry. Experience the special flair of Hamburg in your spare time where vibrant cosmopolitan culture meets nautic legacy.

Your benefits

  • Work-life balance with a 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.

  • Coding of AI applications (computer vision).

  • 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

  • Enrolled fulltime student (d/f/m) within Computer Vision & Data Science or a similar field of study.

  • Fluent English skills.

  • First experience with Skywise would be beneficial.

  • Python skills are a plus.

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

  • Ability to work independently and as part of a team

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

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Experience Level:

Student

Job Family:

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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Vision Python

Perks/benefits: Career development Flex hours

Region: Europe
Country: Germany

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