Working at Freudenberg: We will wow your world!

Responsibilities:

• Introductory training in mathematical shape optimization with the level-set approach
• Introductory training in the open source finite element software Netgen/NGSolve
• Software development of the null space gradient flow algorithm for shape optimization in Netgen/NGSolve (Python)
• Application of the algorithm to Freudenberg specific use cases (e.g., sealing parts with nonlinear material behavior)
• Documentation and interpretation of optimization results

Qualifications:

• You are studying mathematics, computational engineering or mechanical engineering
• Solid knowledge in nonlinear optimization and the finite element method
• Knowledge in optimization with partial differential equations desirable
• Python programming experience preferable
• Previous experience with Netgen/NGSolve is a plus
• Excellent analytical skills
• Interest in optimization theory and practice
• Affinity for programming and engineering applications
• Very good German and/or English language skills (oral and in writing)

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