Student assistant: Machine learning and FEM simulation for Sheet Metal Forming

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 75 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32,000 employees work with an annual research budget of 3.6 billion euros.

At the Fraunhofer IPT in Aachen, we work with more than 500 employees every day to make the production of the future more digital, more flexible and more sustainable. In the group »Integrated Production Machinery«, we specialize in optimizing manufacturing technologies for components used in energy conversion systems such as fuel cells and electrolyzers. With a focus on industrial applications, our expertise is concentrated on the fields of metallic bipolar plates for those applications.

As a student research assistant, you will support our team in developing automation methodology, machine learning models and data driven FEM simulation models for sheet metal forming processes. The position requires regular on-site presence at our institute in Aachen. The weekly working hours are at least 10 and at most 17 hours.

What you will do

• CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc)
• Develop data-driven and machine learning-based models to improve the simulation and optimization of sheet metal forming processes
• Develop optimization methodologies for manufacturing process design and parameter identification
• Validation of the FEM and ML models through experimentation and documentation of results

What you bring to the table

• You are studying Computational Mechanics, Simulation Sciences, Mechanical Engineering or a comparable subject
• Initial experience in CAE modelling and FEM simulation (preferably Abaqus or Ansys) is required
• Prior knowledge of machine learning and experience in programming skills (preferably Python) is required
• Knowledge of Physics Informed Neural Networks (PINNs), PyTorch, TensorFlow is advantageous
• Experience with Fortran subroutines, automation scripting for FE software and CAD design (Solidworks, Catia) is advantageous
• Good language skills in English and/or German

What you can expect

• Collaboration in innovative research projects and the ideal conditions to implement your knowledge from your studies and gain practical experience
• Flexible working to combine studies and job in the best possible way
• Opportunity to grow personally and benefit from our strong network in industry and research
• Would you like to deepen your knowledge further? We offer exciting topics for your thesis

Interested? Apply online now. We look forward to getting to know you!

https://jobs.fraunhofer.de/job-invite/85334/

For any further information on this position please contact:
Yogesh Borole M.Sc.
Research Assistant »Integrated Production Machinery«
+49 241 8904-469