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

Working at Freudenberg: "We will wow your world!" This is our promise. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually. Be surprised and experience your own wow moments. Together with our partners, customers and the world of science, we develop leading-edge technologies, and excellent products and services for about 40 markets and for thousands of applications: seals, vibration control components, batteries and fuel cells, technical textiles, filters, cleaning technologies and products, specialty chemicals and medical products.

Some of your Benefits

• Cafeteria/ Canteen: We offer fresh food on-site, both hot and cold.
• Employee discounts: Opportunities for deals on products and services.
• Public Transportation Allowance: Commute more affordable thanks to public transport allowance.
• Sustainability & Social Commitment: We support social and sustainable projects and encourage employee involvement.
• Easily Reachable: Easy, low-stress access by car or public transport.

On-Site

You support our team as

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

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.