Your tasks

• In this thesis you will first study microbiological growth modelling in general, based on established standard models.
• You will then examine the different theoretical meanings of the various models.
• Next, simulation studies (e.g., Monte Carlo simulations) will be used to determine the agreement of existing laboratory data with the models.
• Afterwards you will test model extensions/changes to represent the influences of plasma treatments.
• The aim of the thesis is to create an adapted growth model that formally describes the possible effects of plasma-driven decontamination and brings them into accordance with existing laboratory data. This model should subsequently serve as the basis for industrially relevant applications.

Your profile

• You are interested in how laboratory and simulation data relate to each other.
• You have basic knowledge in biology and programming (e.g., Python).
• Ideally, you have had prior exposure to biological growth models, microbiological studies, or simulation of biological processes.
• The ability to work independently is an advantage.
• Good English and/or German skills are required.

Your benefits

• You will gain insights into applied research outside of the university environment.
• You will have the opportunity to collaborate with colleagues from different disciplines.
• Contributing and implementing your own ideas is encouraged.