Studierende finden an der ETH Zürich ein Umfeld, das eigenständiges Denken fördert, Forschende ein Klima, das zu Spitzenleistungen inspiriert.
The Computational Evolution Group, led by Prof. Dr. Tanja Stadler, in the Department of Biosystems Science and Engineering (D-BSSE) works at the interface of mathematics, computer science and evolutionary biology. We develop phylogenetic and phylodynamic methods to understand evolutionary, ecological, epidemiological and developmental processes on different scales based on genetic data.
Our research group is located in Basel, and a European hot-spot for biomedical research. Our department is in close proximity to several other academic research institutes as well as major pharmaceutical and biotech companies. We are also part of the Swiss Institute of Bioinformatics, a major developer and provider of bioinformatics services and resources.
Applications are invited for the position of postdoctoral researcher with Prof. Dr. Tanja Stadler. The position is fixed-term for 2 years with possibility of extension.
How does a single fertilised egg develop into a functioning organism?
The answer to this question depends on the underlying population dynamic process, i.e. the division and change of individual cells. Within the , one of our goals is to introduce phylodynamics into developmental biology, by formulating and characterizing models describing the division and change of individual cells. With the resulting so-called phylodynamic modelling framework, we will move from a qualitative description of developmental processes to a quantification of developmental processes.
The open position is in the emerging field of single-cell phylodynamics. You will work closely with Prof. Dr Tanja Stadler and other team members in the Computational Evolution group. The ultimate goal of the project is to quantify important developmental processes from single-cell data that have so far only been qualitatively described. You will quantify the rates of cell division (i.e., replication), cell apoptosis (i.e., death), and cell differentiation (i.e., transition) based on single-cell phylogenies that are estimated from single-cell lineage tracing (e.g., , ) and single-cell transcriptomic data. We recently developed and implemented a conceptual framework for such quantification. You are envisioned to contribute your ideas on biological questions as well as computational method extensions such that single-cell lineage and transcriptomic data can deepen our understanding of development.
We offer a dynamic and supportive working environment with flexible working hours. ETH Zurich is a family-friendly employer with excellent working conditions and offers . The position also comes with funding to attend international conferences and workshops and you will have the opportunity to participate in personal growth and career development opportunities offered by ETH Zurich and the Swiss Institute of Bioinformatics. Switzerland offers top quality of life – including beautiful natural scenery and fantastic infrastructure. We look forward to showing you why Basel, a very international small city ranked the tenth most livable city in the world by Mercer, is a great place to live and work!
We look forward to receiving your online application with the following documents by February 13th 2023:
Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered. Applications should be written in English. The selection committee will review all applications within 3-4 weeks after the application deadline.
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