Internship - Bioprocess Data Science and Causal AI(m/w/x)

Beschreibung

You will advance digital bioprocess development by applying machine learning and Causal AI to optimize manufacturing, helping the company predict process dynamics and identify ideal production conditions.

Anforderungen

• •Master's student in Bioinformatics, Bioprocess Engineering, Data Science, Statistics, or related field
• •Strong programming skills in Python
• •Understanding of cell metabolism or chemical engineering principles (significant plus)
• •Analytical mindset and ability to handle complex datasets
• •Good knowledge of MS Office
• •Fluency in spoken and written English
• •Valid residence permit for student internships in Germany

Aufgaben

• •Develop Digital Twins for large-scale manufacturing
• •Predict process dynamics using sensor data
• •Pre-process data and manage machine learning methods
• •Merge mechanistic equations with machine learning
• •Implement advanced architectures for time-series forecasting
• •Develop Causal AI algorithms for bioreactor data
• •Perform Root Cause Analysis on batch deviations
• •Execute sensitivity analysis and in-silico optimizations
• •Identify optimal Golden Batch process conditions

Tools & Technologien

Benefits