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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

11Open Positions

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Internship (d/f/m) within Geometry Generation for Aerodynamic Design

Airbus UpNext
Found 1 month ago
Location
Bremen, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • computational geometry
  • aerodynamics/flight physics
  • mathematics (linear algebra, calculus)
  • information technology
  • CATIA V5/3DExperience
  • Python
  • CAD scripting
  • CFD

Soft Skills

  • strong verbal and written communication skills
  • desire to work in a collaborative, international team environment

Job Description

This internship is focused on developing and implementing advanced methods for automated geometry generation within our aerodynamic design process. The goal is to leverage parametric Computer Aided Design (CAD) capabilities, creating robust scripts that accelerate the production of design variants, from initial surfaces to analysis-ready models.

Requirements

  • You are an enrolled full-time student in a Master of Science programme
  • This internship is also suitable for recent graduates with a maximum of three years of relevant work experience
  • You have strong verbal and written communication skills in our business language (English)
  • You have a desire to work in a collaborative, international team environment focused on driving future innovation
  • A completed university degree BSc and current enrollment in MSc in Engineering/Aerospace Engineering, Mathematics, Information Technology/Data Science, Physics, or an equivalent field
  • Hands-on experience with a major parametric CAD software package ( CATIA V5/3DExperience is highly preferred)
  • A solid foundation in computational geometry , aerodynamics/flight physics, mathematics (linear algebra, calculus), and information technology
  • Good working knowledge of a programming language ( Python is highly preferred ) for automation, with experience in CAD scripting environments being a major asset
  • Familiarity with the geometry requirements and pre-processing steps for numerical simulations (CFD)
  • Interest or experience with ML/AI applications, particularly in the context of Natural Language Processing (NLP) or Large Language Models (LLMs), would be a significant asset

Related Field

  • Aerospace Engineering

Related Subfield

  • Aerodynamics

Languages

  • English

Nice to Haves

  • ML/AI applications
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
▶Apply Now

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