Motivation and Goals of this Position
The ability to accurately and automatically control biotechnological processes at their optimal state accurately and automatically is of considerable interest to many biotech-industries, since it can enable them to reduce their production costs, while, at the same time, maintaining the quality of the metabolic products. However, the highly dynamic and non-linear nature of bioprocesses poses great difficulties to bioprocess monitoring and bioprocess control approaches. Prerequisite for successful process control is the controlled supervision of process parameters including cell specific growth and nutrient conversion rates using models (digital twins).
In close cooperation with an industrial technology provider the PhD thesis aims to:
- Develop model-based monitoring techniques, which includes cell death and product formation
- Implement different process models and run them in real-time with selected measurements
- Verify them on different industrially relevant organisms
- Master of Science in Bioprocess Technology, Biotechnology, Electrical Engineering, Chemical Engineering or similar.
- Some experience in standard lab work and basics in aseptic work with biomaterial
- Willingness to intensify numerical programming skills such as Matlab® and Python®
- Curiosity to test developments within the lab and transfer them to industrial environments
- A superior command of English
- You should be accustomed to networked critical analytical thinking, scientifically interested and able to work in a team.
- Work in a multidisciplinary Team
- Connect with industry and learn their language and thinking
- Intensify skills in highly requested field of process system engineering and data science
- Possibility to guide your own PhD project with the possibility to collaborate with other team members
- This PhD position runs within a CHASE Competence Centre and is executed at the TU WIEN.
- This PhD position starts on October 1st 2020 and is scheduled for 3 years. The monthly minimum wage is currently € 2.148, 00 (14x per year), before tax, at a 30h/week employment.
- The TU Wien aims to increase the proportion of women and encourages qualified women to apply.