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Several student assistant positions available at CPS

2024/05/21

To support research and teaching, several positions for student assistants are available at the Cyber-Physical Simulation group.

The Cyber-Physical Simulation (CPS) group headed by Prof. Dr. Oliver Weeger performs research into forward-looking numerical methods and modeling approaches for nonlinear, multi-scale and multi-physical problems in mechanical engineering, see www.cps.tu-darmstadt.de.

There are currently several student assistant positions available to support research and teaching.

Interested students should be enrolled in Mechanical Engineering, Aerospace Engineering, Computational Engineering, Mechanics or a similar major. Please send your application with a CV and a current overview of your grades directly to the specified contact person. If you are interested in more than one topic, please send only a single email to all relevant contact persons.

Generally, all research-related topics may also be suitable for bachelor/master thesis or ADP.

Desirable prior knowledge and interest in:

  • Finite Element Method
  • Good knowledge in Ansys or LaTeX

Contacts: Maximilian Kannapinn, Juan Alzate

Desirable prior knowledge and interest in:

  • (Physics-informed) machine learning
  • Programming skills in Python and TensorFlow

Contact: Dominik Klein

Desirable prior knowledge and interest in:

  • Basic knowledge in FEM and material modelling
  • Programming skills, experience with FE software Abaqus

Contact: Dominik Klein

Desirable prior knowledge and interest in:

  • Numerical methods for differential equations
  • Programming skills
  • Interest in additive manufacturing

Contacts: Iman Valizadeh, Oliver Weeger

Desirable prior knowledge and interest in:

  • Interest in cutting edge topics in the areas of digital twins and 3D printing
  • Basic skills on academic literature research in data bases

Contact: Maximilian Kannapinn

(subsequent master thesis or ADP possible)

Desirable prior knowledge and interest in:

  • Transport phenomena and thermodynamics
  • Structural mechanics, especially beam theory
  • Finite Element Method, Optimization
  • Programming skills in Matlab or C++ desirable

Tasks:

  • Documentation and state-of-the-art of research
  • Decision on model parameters
  • Development of a FEM model with Ansys or similar software
  • Verification of the model

Contacts: Juan Alzate

(subsequent master thesis possible)

Desirable prior knowledge and interest in:

  • Structural mechanics, especially beam theory
  • Plasticity theory
  • Finite Element Method
  • Programming skills in Python or C++
  • Neural Networks and Machine Learning

Contact: Juan Alzate

(subsequent master thesis possible)

Desirable prior knowledge and interest in:

  • Structural mechanics, especially beam theory
  • Plasticity theory
  • Finite Element Method
  • Programming skills in Python or C++
  • Neural Networks and Machine Learning

Contact: Juan Alzate

In grayscale mask stereolithography (gMSLA), a liquid plastic resin is used which hardens under UV light. Three-dimensional structures can be printed by selective exposure using an LCD mask. The aim is to develop a model of the printing process in order to predict the properties of the printed objects and to optimally select the input parameters. For this purpose, we are looking for a student assistant to develop, carry out and evaluate experiments with the in-house gMSLA 3D printer and material testing machine.

Contact: Felix Rutsch