Student assistant: FEM Simulation and Programming

The Fraunhofer-Gesellschaft (www.fraunhofer.com) is one of the world's leading organizations for application-oriented research. 74 institutes develop pioneering technologies for our economy and society – more precisely: 30 000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

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

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. 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.

Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

Hamidreza Paria M.Sc.
Research Assistant »Glass and Precision Manufacturing«
Telefon: +49 241 8904-147

Fraunhofer Institute for Production Technology IPT

www.ipt.fraunhofer.de

Requisition Number: 85479 Application Deadline:

Job Segment: Research Assistant, Cloud, Data Analyst, Mechanical Engineer, Research, Technology, Data, Engineering

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