Department of Biosystems Science and Engineering

Open Opportunities

Engineering therapeutic genetic circuits in mammalian cells ETH Zurich Control Theory and Systems Biology Cell-based therapies have emerged as a powerful platform for treating pathological phenotypes [1]. A focus of synthetic biology is to engineer cellular systems that can act by releasing therapeutic effectors to mitigate disease states [2]. Developing such circuits remains a great challenge. The goal of this project is to engineer genetic circuits in human cells and establish cell lines for therapeutic applications. Within this task, the prospective student may explore different genetic topologies and develop various cell line engineering workflows and co-culture assays. Biotechnology, Engineering and Technology ETH Zurich (ETHZ), Master Thesis, Semester Project

Linking adaptive immune repertoire sequencing and artificial intelligence ETH Zurich Lab for Systems and Synthetic Immunology Immune repertoires represent a vast and diverse collection of T and B cell receptors which are able to interact with a seemingly infinite number of foreign pathogens. Recent advances in deep sequencing, microfluidics and machine learning allow us to relate and predict the relationships between immune receptor sequence, gene expression, and functional properties at the single-cell resolution. Using such approaches, we can both quantify clonal selection of immune populations and also generate novel immune receptors with specific biophysical properties. Artificial Intelligence and Signal and Image Processing, Medical and Health Sciences Internship, Master Thesis, Semester Project

Predicting immune escape of SARS-COV-2 variants from human antibodies with deep learning models ETH Zurich Lab for Systems and Synthetic Immunology We are seeking master students for research projects or theses involving antibody expression, screening of SARS-COV-2 receptor binding domain (RBD) yeast library with antibodies through SARS-COV-2 infection, and application of machine learning on the generated data. Biotechnology, Computational Biology and Bioinformatics, Immunology ETH Zurich (ETHZ), Lab Practice, Master Thesis, Semester Project