**Job Description**
This PhD position at Radboud University is within the Big Chemistry consortium, focusing on establishing and utilizing self-driving laboratories to rapidly measure and predict the physical properties of complex mixtures. The project involves training AI models, including deep learning and neural networks, to predict properties such as solubility, viscosity, and surface tension directly from chemical structures. The successful candidate will integrate deep physical chemistry knowledge with robotic systems and AI, and will also contribute to teaching and training BSc and MSc students.
**Skills & Abilities**
• Deep scientific curiosity.
• Excellent experimental and quantitative skills.
• Drive to learn and develop new methods and concepts.
• Excellent verbal and written communication skills in English.
• Strong affinity with teamwork.
• Thrive in an international, ambitious, multidisciplinary and highly collaborative environment.
**Qualifications**
Required Degree(s) in:
• Chemistry
• Chemical engineering
• Soft matter physics
• Related field
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