Master’s Thesis in the Field of “Machine Learning of Molecular Properties” (m/f/d)

Working at Freudenberg: We will wow your world!

Responsibilities

• You conduct molecular dynamics simulations of organic systems and perform detailed analyses of the results.
• You train machine-learning or physics-based models to predict molecular properties.
• You collaborate closely with experts in data-driven chemistry.
• You advance and refine methodologies for the virtual screening of functional molecules.

Qualifications

• You hold a bachelor’s degree in chemistry, physics, materials science, or a related field; prior experience in molecular or materials modeling is an advantage.
• You have a strong interest in modern simulation techniques and applications of artificial intelligence.
• You have programming experience— e.g. in Python—and initial familiarity with machine-learning frameworks such as Scikit-learn.
• You possess excellent command of written and spoken English.

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.

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