Research and Thesis Projects
Our open master's & project theses are listed below.
If you have an idea for a project related to our research and would like to work with us, please contact us directly.
Metabolic Modeling Project: Evaluating Elementary Pathway Importance Using Polytope Volume Computation
Type: Long lab rotation or Bachelor Thesis
Location: Zurich or Basel
Requirements: Motivation and interest in the project as well as an ability to work independently are the main requirements for the project. Other requirements include:
- Good knowledge of linear algebra.
- Basic geometry knowledge and interest in polyhedral geometry.
- Previous programming experience (Python preferred but other languages possible).
- Previous experience in the field of metabolic modeling is a plus, but not required.
Supervision: , Prof. Dr. Jörg Stelling.
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Metabolic Modeling: Extending GSMMs with diet-specific degradation pathways
Type: Master Thesis
Location: Zurich or Basel
Requirements: Motivation and interest in the project as well as an ability to work independently are the main requirements for the project. Other requirements include:
- Prior knowledge in biochemistry and metabolism.
- Prior experience in the mathematical modeling of biological systems.
- Prior knowledge in metabolic modeling is a plus, but not necessary.
- Basic coding experience is a plus, but not necessary (although this project will require coding in Python).
Supervision: , Prof. Dr. Jörg Stelling.
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Synthetic Biology Project: Building transcriptional controllers in S. cerevisiae
In this project we will design new promoters and repressors, with the goal of building inducible and precise protein expression tools in yeast. These will allow genetic discovery as well as construction of complex synthetic circuits in the future.
Type: Master Thesis
Requirements: Motivation and a willingness to learn are more important than your background. If you don’t fit the formal requirements below, but you find the project interesting, you are still encouraged to apply.
- Previous experience in a wet lab through lab courses or short projects. Ideally already familiar with basic methods such as PCR, gel electrophoresis, cell plating etc.
- Basic knowledge in (synthetic) biology.
- Any coding experience is a plus but not necessary.
Supervision: , Prof. Dr. Jörg Stelling.
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Optimizing an in vivo Mutagenesis Method in S. cerevisiae
The aim of this project is to assess various in vivo mutagenesis systems in yeast for use in a new in vivo evolution system targeting G-protein coupled receptors.
Type: Master Thesis
Requirements: Motivation and a willingness to learn are more important than your background. If you don’t fit the formal requirements below, but you find the project interesting, you are still encouraged to apply.
- Previous experience in a wet lab through lab courses or short projects. Ideally already familiar with basic methods such as PCR, gel electrophoresis, cell plating etc.
- Basic knowledge in (synthetic) biology.
- Any coding experience is a plus but not necessary.
Supervision: , Prof. Dr. Jörg Stelling.
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Development of a new, cost effective, point-of-care diagnostic (evaluation) system
Type: Research/Thesis project
Requirements: Good rapid prototyping skills (3D design & printing); Good programming skills (OOP), preferentially experience with Java and Python (C++); basic knowledge in Optics, camera sensors, image generation and processing and electronics; basic knowledge in microfluidics; basic knowledge in diagnostics; basic knowledge in statistics and experimental design.
Supervision: Dr. Andreas Cuny, Prof. Dr. Jörg Stelling.
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Development of a modular phase microscope based on TIE
Type: Master or Bachelor Thesis
Requirements: Good rapid prototyping skills (3D design & printing); Good programming skills (OOP), preferentially experience with C++ and Python; Knowledge in optics, camera sensors, image generation and processing and electronics; basic knowledge in Molecular biology and the model organism yeast; basic knowledge in statistics and experimental design.
Supervision: Dr. Andreas Cuny, Prof. Dr. Jörg Stelling.
Download More information (PDF, 55 KB)