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.