Work environment
Our casting development team at the Kassel site, together with the Large Casting Competence Center, plays a leading role within the group in shaping the casting products and processes of the future. A key focus is the optimization of gating systems to further improve the quality, efficiency, and reproducibility of casting processes. Together with you, we aim to develop a methodology that enables systematic evaluation and optimization of gating systems for large cast parts. Become part of our team – we’re excited to meet you!
Possible tasks within this role
* Develop and validate a methodology for optimizing gating systems for large cast components
* Investigate and apply topological and parametric optimization methods to design efficient gating geometries
* Evaluate developed concepts in terms of castability, thermal stress, and susceptibility to defects
* Consider real-world defect patterns in the optimization results
* Integrate the developed methodology into existing development processes and tools
Qualification requirements
* Master’s degree students in Mechanical Engineering, Materials Science, Computer Science, Mathematics, or a related field
* Good to very good academic performance
* Basic knowledge of casting technology and/or flow simulation, as well as programming skills (preferably in Python), is desirable
* Experience with optimization methods (e.g., topology optimization, parametric optimization) and simulation software (e.g., Flow3D, MAGMASOFT, OpenFOAM) is a plus
* Ability to work independently and solve problems experimentally
* German language skills at B2 level, English at B1 level
The following documents muust be submitted with your application
* Curriculum Vitae
* Current certificate of enrollment
* Current academic transcript
* Work permit for non-EU citizens
* In case of a compulsory internship, a certificate from the university
Keywords
Production Informatics, Computational Engineering, CAE (Computer-Aided Engineering), Design Automation, Thermomechanical Analysis, Machine Learning in Engineering, Digital Twin, Additive Manufacturing, Finite Element Analysis (FEA), Sustainable Manufacturing
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Kontakt für diese Ausschreibung: Maximilian Kaeding