Student assistant: FEM Simulation and Programming

Rheinisch-Westfälische Technische Hochschule Aachen

Aachen

Vor Ort

EUR 17.000 - 22.000

Teilzeit

14 Tage+
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Benefits dieser Stelle

Thesis opportunity
Flexible working hours
Interdisciplinary team
Access to state-of-the-art machinery

Zusammenfassung

Fraunhofer IPT in Aachen invites motivated student assistants to join the Glass and Precision Manufacturing team. You will help develop Abaqus simulations, set up models, mesh, debug, and evaluate results, while post-processing data in Python for optimization and machine-learning tasks.

Ideal candidates study Computational Engineering or related fields, possess strong Python skills, and have experience with FEM tools (Abaqus/ANSYS). German knowledge is advantageous.

Qualifikationen

  • Must be currently enrolled in a degree program (e.g., Computational Engineering, Mechanical Engineering, or Simulation Sciences).
  • Strong Python programming skills required.
  • Experience with FEM software (Abaqus/ANSYS) is expected; knowledge of user subroutines is a plus.

Aufgaben

  • Support the team in improving the accuracy of the FEM simulation model.
  • Post-process simulation results in Python.
  • Programming, data analysis and visualization in Python.

Kenntnisse

Python programming
FEM simulations
Fortran (basic knowledge)

Ausbildung

Computational Engineering
Simulation Sciences

Tools

Abaqus
ANSYS

Jobbeschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world’s leading organizations for application-oriented research. 75 institutes develop pioneering technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT.

At the Fraunhofer Institute for Production Technology IPT in Aachen, we are creating the production of the future with more than 450 employees – digital, sustainable and resilient. In the »Glass and Precision Manufacturing« department, we are looking for motivated student assistants to support us in innovative research projects.

As a student assistant, you will support our team with FEM simulations and Python programming, gaining valuable research experience alongside your studies. You will collaborate with an experienced, interdisciplinary research team and contribute to the development of Abaqus simulations for glass molding processes, including model setup, meshing, debugging, result extraction, and evaluation. You will also post-process simulation data in Python for optimization and machine-learning applications.

Be part of change
  • Support the team in improving the accuracy of the FEM simulation model
  • Post-process simulation results in Python
  • Programming, data analysis and visualization in Python
  • Numerical modeling and programming for model optimization and machine-learning applications
  • Perform material characterization of various optical glass materials
What you contribute
  • Currently studying Computational Engineering, Mechanical Engineering, Simulation Sciences, or a comparable subject
  • Advanced programming skills in Python are required; basic knowledge of Fortran is an advantage
  • Experience with FEM (Finite Element Method) simulation software, e.g., Abaqus or ANSYS, is expected; knowledge of user subroutine implementation is an advantage
  • Good analytical skills and enthusiasm for interdisciplinary project work
  • Initiative, strong communication skills, and a collaborative mindset
  • Strong proficiency in English is required; knowledge of German is an advantage
What we offer
  • An ideal opportunity to gain practical experience alongside your studies and work on interdisciplinary research and industrial projects
  • The opportunity to write your thesis with us
  • Flexible working hours help you successfully combine your studies and your job
  • State-of-the-art machinery, equipped with edge cloud systems and a 5G infrastructure

For any further information on this position please contact:
Hamidreza Paria M.Sc.
Research Assistant »Glass and Precision Manufacturing«
Phone: +49 241 8904-147

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