Motivation

Refolding of proteins from Inclusion Bodies (IBs) poses a viable alternative to soluble expression of proteins, since the IBs consist of the target protein with high purity, high concentrations, and high stability. Recently, these benefits led to a huge potential for the commercial production of proteins based on IB processes. Here, the refolding step is the crucial unit operation in the downstream processing chain.

Model-based approaches using Digital Twins are a promising method to gather process knowledge in the form of process models to enable a controlled and yield oriented refolding process. For this purpose, mechanistic models are fit on experimental data. The resulting parametrized model can then be used to perform refolding processes in a monitored and controlled environment in a bioreactor.

The thesis aims to:

  • Develop and adapt mechanistic refolding models and fit them onto experimental data
  • Monitor protein refolding processes in a real-time environment using model-based techniques such as state-estimation
  • Control of refolding environments in a bioreactor

Requirements

  • Master studies in Biotechnology, Process engineering, Biochemistry, Bioinfomatics or a related field
  • Experience in bioanalytical methods and standard lab work
  • Experience or motivation to learn data evaluation and simulation techniques in Matlab or Python
  • A superior command of English

Opportunities

  • Participate in an industrially relevant project
  • Work in a multidisciplinary team on a future-oriented topic
  • Intensification of skills in the fields of bioprocess technology, simulation, modelling and control

Time-frame and salary

This work is scheduled for 6 months starting in July 2022 and is compensated with 300 € per month

We looking forward to your application!