Master Thesis in the field of Airbus Customer Services TechData Job at Airbus (Hamburg / Finkenwerder)

Job Description

In the frame of this study/thesis you will research the applicability and use cases of Large Language Model (LLM) Agents in the scope of the creation of Technical Data. For this we provide you with access to the Google Cloud Platform (GCP) and the state-of-the-art LLM Google Gemini. You will also receive all the training materials you need to get started with GCP. The scope of the thesis can be refined to suit the needs of your study program. Airbus Technical Data in Customer Services is a global organisation in charge of creating, maintaining and providing technical publications such as the aircraft maintenance manual (AMM) or the illustrated parts catalog (IPC). We support all Airbus aircraft fleets around the world.

Job Responsibility

Getting familiar with the current state of science in the field of LLM Agent systems
Analyzing the TechData processes
Identify use cases in collaboration with the subject matter experts
Build a proof of concept
Supporting the project team in the development
You participate in internal, external and transnational projects to improve our products and our processes
You are flexible to adapt your daily work in order to answer customer or organizational requests

Requirements

Enrolled full-time student (d/m/w) in mechanical engineering, aerospace engineering, production engineering, or a related field
Experience in Data analytics and programming (Python) and interest for Large Language Models, Artificial Intelligence
Basic knowledge of large language models and their applications
Prior practical experience in the industrial or production sector is advantageous and proficiency in Google tools is a plus
Analytical thinking and structured working methods are very important for you
You have a problem solving mentality and are a customer oriented and an open minded teamplayer
German is preferred and English fluent is a must

Nice to have

Prior practical experience in the industrial or production sector
proficiency in Google tools

What we offer

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
Full integration as a team member, including participation in weekly team meetings
Opportunity to participate in the Generation Airbus Community to expand your own network

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Master Thesis in the field of Airbus Customer Services TechData

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