Master Student in The Field of Data Science/ai - Finkenwerder, Deutschland - Airbus

Airbus
Airbus
Geprüftes Unternehmen
Finkenwerder, Deutschland

vor 1 Monat

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter
Beschreibung
In order to support the Data-Driven Services & Maintenance department, Airbus Operations is looking for a


Master student in the field of data science/AI (d/f/m), title of thesis "Towards certifiable large language models and information extraction based on machine learning for the aircraft industry":


  • Location: Hamburg
  • Start:
  • Duration: 6 months


Want to spread your wings? What if YOUR ADVENTURE begins with US? We offer you the opportunity to work in a world leader company in its field, focused on digital technology, at the forefront of research and innovation.


A master thesis (M/F/d) position offer with the working title "Towards certifiable large language models and information extraction based on machine learning for the aircraft industry" has just been opened within Airbus Operations GmbH.


You will join our Data-Driven Services & Maintenance department consisting of more than 80 people in several Engineering Centers in Europe and in India.

Its mission is to deliver "world-class" Products, Services & Support and spread excellence for Maintenance, Certification & Artificial Intelligence, keeping our Customers in mind, our people at heart and innovation in our DNA.


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:


  • Attractive salary and worklife balance with a 35hour week (flexitime).
  • Mobile working after agreement with the department.
  • Traveling within Europe is possible after consultation and agreement from 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:


You will be under the responsibility of a supervisor who will help you to identify your professional objectives and support you in the development of your skills.

You will work on to the following thesis elements:

  • Bibliographic review of methods and techniques for speech recognition and natural language processing based on machine learning
  • Comparative review and implementation of models
  • Characterization of the various performances and risks (e.g. certifiability) associated with the use cases studied
  • Definition of relevant metrics and indicators to estimate robustness during inservice operation
  • Documentation of downselected solution

Desired skills and qualifications:


  • You are currently registered as a full time Master degree student (d/f/m) in the field of Data Science, Statistics, (applied) Mathematics or equivalent.
  • First experience in Data Science, Machine Learning, Deep Learning or Statistics/ Probability studies
  • Mastering tools in Python (numpy, tensorflow, pytorch, jax,)
  • Interest in innovation and research
  • You have good communications skills and an advanced level in English

Please upload the following documents:
cover letter, CV, relevant transcripts, enrollment certificate.

Not a 100% match? No worries Airbus supports your personal growth.


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 SAS


Contract Type:

Internship / Stage / Praktikum / Beca


Experience Level:

Student / Etudiant / Student / Estudiante


Job Family:

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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