Postdoctoral Researcher in Predicting Evolution with Multiscale Models
Postdoctoral Researcher in Predicting Evolution with Multiscale Models
UvA - University of Amsterdam
Amsterdam, Netherlands
This position is in the Evolutionary Systems Biology team of dr. Meike Wortel. The team focusses on developing mathematical and computational techniques to include the environment, including other species, in the analysis of evolutionary trajectories and apply this to antibiotic resistance evolution and microbial communities. To achieve this, the team combines evolutionary approaches with systems biology, which links the intricate networks that make up cells to their overserved behavior at the cell level.
The team is embedded in the Microbiology Cluster of the Swammerdam Institute for Life Sciences and affiliated with interdisciplinary collaborations in Systems Biology and research on Origin and Evolution of Life and Emergence. The team uses ongoing collaborations to link theory directly to experimental systems.
What are you going to do?
Your role withing the project will be to develop computational models and theory to understand how community complexity influences the predictability of evolution. You are expected to bring your own expertise and ideas and collaborate with the PI and the collaboration groups, including being active in (online) consortium meetings, short lab visits and attending international conferences. You will lead the publication of your research outcomes and contribute to other studies within the project. As a member of the Evolutionary Systems Biology team in Amsterdam you will discuss with the other team members, present at the Microbiology and other institute seminars and take part in the supervision of BSc and MSc students.
Your experience and profile
You have/are:
- a PhD in Systems Biology, Computational Biology, Theoretical (Evolutionary) Biology or a related field with one or more publications as first author in a peer-reviewed scientific journal;
- experience with metabolic models or in modelling evolutionary dynamics;
- excellent English skills;
- excited to work in an international interdisciplinary team.
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