Master's Thesis in the Field of "Machine Learning of Molecular Properties"

Corporate Units
Weinheim, Germany
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Weinheim, Germany

Tech stack

Artificial Intelligence
Computer Programming
Python
Machine Learning
Scikit Learn

Job description

  • 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.

Requirements

Do you have experience in Python?, Do you have a Master's degree?, * 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.

About the company

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.

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