Master thesis in the field of "Combining Physical Models with Artificial Intelligence to optimize cy

Responsibilities:

1. Analysis and evaluation of various theoretical approaches to determine the energy input in the injection molding process
2. Creation and further development of simulation models to predict the required cycle times in the elastomer injection molding process
3. Data generation using DOE or CFD
4. Validation of the modeling approaches with real data

Qualifications:

1. Master of Science studies in the field of mechanical engineering, process engineering, plastics engineering or related fields
2. Very good knowledge in one of the following areas: Theory of heat transfer, computational fluid dynamics (CFD), machine learning
3. Very good knowledge and programming experience in Python
4. Knowledge of injection molding is desirable
5. Commitment, flexibility, initiative and creativity

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.

Freudenberg Technology Innovation SE & Co. KG