PhD thesis in Computational Ecology and Evolutionary Biology

A Ph.D. studentship in computational biology is available in the laboratory of Andreas Wagner at the University of Zurich. We are looking for a researcher to study the assembly of microbial communities using computational modeling. The project will use genome-scale metabolic models to predict the stability, diversity, and composition of microbial communities from first principles of metabolic biology. It may also study how ecological and evolutionary processes interact during community assembly. Lab members have diverse backgrounds and research projects, but are unified by their interests in life’s fundamental organizational principles. Ongoing projects cover a broad range of topics, including the influence of cross-feeding on microbial community diversity, and the structure of adaptive landscapes (e.g., San Roman and Wagner, PLoS Comp. Bio. 2018, Zheng et al. Science 2019).
The successful candidate will have strong mathematical or computational skills, and a background in biology, bioinformatics, computational biology, biochemistry, biophysics, or related subjects. Fluency in a major programming language, such as python is essential. Familiarity with computational models to analyze complex metabolic systems, such as Flux Balance Analysis will be a plus. Applications without a demonstrated interest or research history in fundamental ecological or evolutionary questions will not be considered further. We are looking for an individual with a Masters Degree or equivalent, who is highly self-motivated and can work independently.
The working language in the laboratory is English. German skills, although helpful, are not essential. Zurich is a highly attractive city in beautiful surroundings, with a multinational population, and many educational and recreational opportunities.
To be considered, please send a single (!) PDF file merged from the following parts:

  • CV including publication list,
  • academic transcripts,
  • contact information for three (3) academic references,
  • a statement of research interests not exceeding three (3) pages,
  • please include the word “COMPPHD21” in the subject line.

Contact: Annette Schmid
Applications will be considered until 01 November 2020. The position is available from April 2021.

Last update: 13.10.2020