Students: Parametric CAD & Mesh Automation for Power-Electronic Modules

Fraunhofer Karriere

Chemnitz

On-site

EUR 17,000 - 25,000

Full time

46 hours ago
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Benefits offered by this job

Flexible hours
Professional supervision
International research projects
Varied tasks

Job summary

Fraunhofer ENAS in Chemnitz seeks a student researcher to develop an open-source workflow for parametric geometry generation and automated meshing of power-electronic modules. The extended research investigates AI-based approaches to automating CAD modeling and mesh generation.

Enrolment at a German university in Mechanical, Electrical, Computational Engineering, or Computer Science is required. Proficiency in Python, Julia, Rust, or similar languages is expected, with CAD/FEA experience

Qualifications

  • Enrolled at a German university in Mechanical, Electrical, Computational Engineering, Computer Science, or related field.
  • Programming experience in Python, Julia, Rust or similar; Git and Linux helpful.
  • Experience with CAD design and FE A tools desirable (SolidWorks, ANSYS, ABAQUS).

Responsibilities

  • Evaluate open-source CAD and meshing tools for geometry and assembly modeling.
  • Develop and automate parametric models for components and assemblies.
  • Research automated mesh-generation methods with controllable refinement and quality checks.
  • Run baseline simulations, perform mesh-convergence studies, and develop reusable post-processing scripts and reports.

Skills

Python
Julia
Rust
Git
Linux
English

Education

Enrolled at a German university (Bachelor/Master)

Tools

SolidWorks
ANSYS
ABAQUS

Job description

The Fraunhofer Institute for Electronic Nanosystems ENAS specializes in the development of smart systems – so-called intelligent systems for a wide range of applications. These systems combine electronic components, micro- and nanosensors, and actuators with communication interfaces. Fraunhofer ENAS develops individual components, the technologies for their manufacture, as well as system concepts and system integration technologies, and translates them into practical applications. Fraunhofer ENAS supports customer projects from the initial idea through design, technology development, or implementation using existing technologies, all the way to a tested prototype.

The Micro Materials Centre (MMC) department is concerned with the reliability of electronic components. The application-oriented research aims to improve the reliability of electronic components by means of suitable experimental investigations and the use of numerical models and, furthermore, to carry out a prognosis of the remaining service life.

This position focuses on developing an open-source workflow for parametric geometry generation and automated meshing of power-electronic modules. The extended research investigates AI based approaches to automating CAD modeling and mesh generation.

Are you interested in AI-based finite-element modeling and simulation? Join our Micro Materials Centre (MMC) department for an exciting student research position starting immediately, with the possibility of continuation.

Be part of change
  • Evaluate open-source CAD and meshing tools for geometry and assembly modeling.
  • Develop and automate parametric models for components and assemblies.
  • Research automated mesh-generation methods with controllable refinement and quality checks.
  • Run baseline simulations, perform mesh-convergence studies, and develop reusable post-processing scripts and reports.
What You Contribute
  • Enrolment at a German university in Mechanical, Electrical, Computational Engineering, Computer Science, or a related Bachelor’s or Master’s program.
  • Programming experience in Python, Julia, Rust, or a similar language; familiarity with Git and Linux is advantageous.
  • Experience with CAD design (e.g., SolidWorks or similar), meshing, and finite-element analysis (e.g., ANSYS or ABAQUS) is desirable.
  • Experience or strong interest in AI-assisted engineering, such as generative CAD, simulation-driven optimization, digital twins, or neural surrogates is a plus.
  • Good English skills; German is beneficial but not required.
  • A structured, independent working style and strong documentation skills.
  • Willingness to participate regularly in on-site activities at the institute.
What We Offer
  • Collaboration in innovative and exciting international research projects, with the opportunity to contribute your own ideas.
  • Professional supervision and a varied range of tasks.
  • A collegial, pleasant and motivating working environment.
  • Flexible working hours and thus the optimal compatibility of studies and practice.

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

The weekly work hours are to be agreed upon on an individual basis and may not exceed 20 hours per week for student assistants. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Please address any questions you may have to

Michaela Baum

E-mail: recruiting@enas.fraunhofer.de

For data protection reasons, we can only consider applications via our career portal - thank you.

Fraunhofer Institute for Electronic Nano Systems ENAS

www.enas.fraunhofer.de

Requisition Number: 86028 Application Deadline:

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