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
EnglishJob 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.