Postdoctoral Researcher in Predicting Evolution with Multiscale Models

at  Universiteit van Amsterdam

Postdoctoral Researcher in Predicting Evolution with Multiscale Models
Faculteit/Dienst: Faculteit der Natuurw., Wiskunde & Informatica
Opleidingsniveau: Gepromoveerd
Functie type: Wetenschappelijk Personeel
Sluitingsdatum: 01.10.2024
Vacaturenummer: 13335
A major current scientific challenge is to accurately predict evolution. However, it is very unclear whether we can predict evolution, and on what factors this depends. This project aims to elucidate the effect of community complexity on the predictability of evolution. An international consortium with members from the University of Amsterdam, Rutgers University (USA) and the University of Alberta (Canada) will set out to investigate the effect of different communities of Candida species on the evolution of antifungal resistance, with experimental, bioinformatics and mechanistic modelling approaches.
In Amsterdam, mechanistic multiscale models of Candida will be used to study how community structure affects the predictability of evolution. Close collaboration with researchers from the collaborating institutes will link experiments, modelling, theory and data analysis together to tackle this major scientific question.
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.

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.

ABOUT US

The University of Amsterdam is the Netherlands’ largest university, offering the widest range of academic programmes. At the UvA, 30,000 students, 6,000 staff members and 3,000 PhD candidates study and work in a diverse range of fields, connected by a culture of curiosity.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The Swammerdam Institute for Life Sciences is one of the Faculty of Science’s largest institutes. Its approximately 240 scientists and staff members work in 19 research groups that perform excellent research centered on four themes: Neurosciences, Cell & Systems Biology, Microbiology and Green Life Sciences.

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.