HiWi (m/f/d) – Computational Solid Mechanics

Institut

Professur für Computational Mechanics (TUM-ED)

Typ

HiWi-Tätigkeit /

Inhalt

 

Beschreibung

Dear Students,

We are seeking a motivated master's student who possesses an interest in model order reduction, machine learning, and finite element methods in computational mechanics. As a student assistant, you will contribute to cutting-edge research activities and support the development and implementation of computational methods for engineering applications. You will have the opportunity to work on innovative research projects in a collaborative and dynamic academic environment.  Starting date: As soon as possible (12hr/week)

 

Tasks:

• Support ongoing and future research projects of the chair
• Develop and maintain research code, primarily in Python
• Assist with numerical simulations and data analysis
• Contribute to the implementation and evaluation of machine learning and computational mechanics methods
• Support scientific documentation and research activities

 

If you are interested in this project or have further questions, please email juan.vargas<script>document.write('@');</script>

<noscript>(at)</noscript>tum.de with only your CV and transcript of records.

Voraussetzungen

We are looking for candidates who:

• Completed Bachelor’s degree in Mechanical Engineering, Civil Engineering, or a related field
• Currently enrolled as a Master’s student at TUM
• Strong programming skills, particularly in Python
• Ability to work independently and proactively
• Very good command of English (written and spoken)
• Strong interest in finite element methods (FEM) and machine learning approaches

 

Nice to have experience/knowledge in:

• Git
• Machine Learning algorithms
• Model Order Reduction
• PyTorch

 

Möglicher Beginn

sofort

Kontakt

Juan Angelo Vargas Fajardo
juan.vargastum.de

Ausschreibung