Doktorand*in (w/m/d) für Modellierung industrieller Bioprozesse
Core
Developing mechanistic, data-driven, and hybrid models for microbial fermentation processes to optimize scale-up and production, utilizing machine learning to extract patterns from heterogeneous process data.
Role type
PhD researcher (Postdoc) in industrial bioprocess modeling
Builds
A shared software platform for modeling and optimizing bioprocesses at production scale, alongside mechanistic and hybrid model components.
Domain
Biotechnology / Industrial Bioprocess Engineering / Machine Learning
Deliverable
production ML models
Required skills
mechanistic modeling of fermentation processes, data-driven modeling / machine learning, hybrid modeling of bioprocesses, programming in Python or gPROMS, calibration and validation of models using process data, multivariate optimization
Preferred skills
practical experience with lab-scale fermentation, strong communication skills for industry collaboration
Technologies
Python, gPROMS
Responsibilities
Develop mechanistic, hybrid, and data-driven model components; adapt and validate models using process data; perform model-based optimization; contribute to data and process model standardization within the consortium; exchange with academic and industrial partners; publish research results.
