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DLR
Posted 1mo ago

student assistant - Python-based tool for composite manufacturing analysis (Stade)

DLR
Stade, Lower Saxony, Germany
OnsitePart Time
Responsibilities
  • defining scenarios
  • developing tool
  • validating tool
Requirements
  • Currently enrolled in a relevant engineering degree
  • Good Python skills
  • Analytical thinking, and sufficient English
  • Ability to work with CAM data and develop/validate analysis tools
Technical tools mentioned
PythonCAM

Job description

Would you like to become part of our innovation-driven research team and help shape the future of lightweight system? We develop and test new lightweight construction technologies for resource-saving and climate-friendly structures in the aerospace, transport, energy and security sectors. Our vision is intelligent lightweight system construction for an emission-free tomorrow.


 

What to expect:


The project "EXploration of electric Aircraft Concepts and Technologies 2" (EXACT2) is the central integration project of the DLR with regard to the question of how the contribution of aviation to global warming can be drastically reduced. Specifically, the aim is to show which technology components, aircraft concepts and measures can be used to meet aviation's contribution to the 1.5°C target of the Paris Agreement. In addition, the economic viability of various scenarios will be developed. This requires a large number of cross-sector disciplines and their effective cooperation. Due to the complexity of the overall system and the associated uncertainties, some of which are large, a scenario-based approach is being promoted. This allows to derive trends to visualize which of the technology, aircraft concept and measure combinations have the greatest economic and ecological potential.


 


Your tasks:



  • Define the production scenarios for a Liquid Hydrogen Tank for Hydrogen Aircraft concepts

  • Compare different production scenarios

  • Define mathematical functions to calculate the required manufacturing resources based on the data from CAM software

  • Develop a tool by integrating the mathematical functions to automatize the resource calculations

  • Validation of the tool

  • Integrate the tool into the overall project workflow


 


Your profile:



  • currently enrolled in a degree program in Aerospace Engineering, Mechanical Engineering, Industrial Engineering, or a related field

  • good knowledge of Python programming

  • good analytical thinking

  • sufficient knowledge of English

 We look forward to getting to know you!


 


If you have any questions about this position (Vacancy-ID 5460) please contact:


 


Sovit Agarwal
Tel.:0531 295 3706

About DLR

Germany's national research center for aeronautics and space.

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