Postdoc - Advanced Process Control

egies for biologics drug substance production, with a strong emphasis on modeling and process control. You will collaborate closely with the Leiden site and the Global Process Science Modeling & Data teams to demonstrate the potential of model-based feedback control in revolutionizing cell culture processes.

Join us in shaping the future of biologics manufacturing and advancing the next generation of cell culture technologies!

Key Responsibilities:

• Design mechanistic models to accurately capture the behavior of various cell lines in cell culture processes

• Infer key model parameters' values from data

• Design a model-based feedback control loop to dynamically optimize critical process parameters in real-time under hard and soft constraints

• Partner with industry and academia to validate the developed models and control strategy

• Work multi-functionally with internal teams to efficiently implement the designed control strategy

• Present findings and innovations at internal meetings and external scientific conferences

Qualifications

• PhD in a STEM field (e.g. Chemical Engineering, Physics, Computer Science or other relevant subject area)

• A strong background in mechanistic modeling and optimization techniques

• A strong background in model-based process control and state estimation techniques

• Proficiency in scientific programming with Python and familiarity with Process Analytical Technology (PAT) tools and sensors

• Familiarity with Bayesian modeling is a plus

• Previous exposure to cell culture manufacturing in a pharmaceutical setting is a plus

• Outstanding ability to identify, analyze, and proactively and independently address potential challenges

• Excellent communication and teamwork skills and ability to work optimally within multi-functional teams

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