Empowering people, creating technology.

Responsibilities:

• Exploring of combined machine learning and atomistic simulation methods for virtual molecule/material design
• Definition of material research projects to ensure acceleration and innovation in material development
• Data acquisition and parameterization of physics-based and/or machine learning models for material design
• Independent collaboration in material research projects
• Collaboration with leading experts and institutes in the field of Data-driven atomistic material modeling
• Supporting the integration of virtual material design within Freudenberg for various materials and products

Qualifications:

• Degree in chemistry/materials science or similar qualification with profound knowledge in material modeling at the atomic or mesoscopic level
• Experience with machine learning (statistical methods) and data-driven materials research
• Experience with data pipelines (data acquisition, structuring, sorting, preparation)
• Sound programming skills (e.g. Python) and familiarity with ML platforms (e.g. Scikit-learn, Keras, TensorFlow etc.)
• Experience in the application of machine learning in the field of molecule/material design (e.g. lubricants/polymers)
• Very good written and spoken German and English skills

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.