This is a unique opportunity for a BSc/MSc student intern to work in a highly interdisciplinary environment at the intersection of pharmaceutical sciences, process modeling and data science. In this role, you will be part of the digital transformation, driving model-driven decision-making and optimizing the drug development process. This experience will allow you to apply your academic knowledge in a practical setting, collaborate with experts from various fields, and contribute to innovative solutions in pharmaceutical manufacturing.

Your responsibilities:

• Integrate the theoretical Capped Drucker-Prager model into a real-world industrial setting at Novartis.
• Adapt the model using FEM tools (e.g. Comsol Multiphysics) to simulate the physical phenomena occurring during the tablet compaction process, including the analysis of mechanical stresses and thermal effects.
• Calibrate the model parameters to match empirical data from the production environment.
• Evaluate if the model accurately reflects the behavior of the compaction machinery and the properties of the tablets.
• Prepare and present research findings in a final presentation and report.

Minimum requirements:

• BSc/MSc degree in Pharmaceutical Sciences, Chemical/Mechanical/Process engineering, Material Sicences or similar.
• Knowledge of Capped Drucker-Prager model.
• Good communication skills (English) and data visualization skills.
• Flexible and open minded.
• Ability to work independently and in collaboration with multiple teams, ability to work in multidisciplinary teams and multicultural environment.

Of advantage:

• Experience with Comsol Multiphyisics software.
• Experience in data science applied to scientific problems.
• Experience in programing languages like Python.