A Postdoc position in Genomic signatures of adaptive evolution along the
fast-slow life history continuum is open at the Swiss Federal Institute
of Aquatic Science and Technology, an internationally networked aquatic
research institute within the ETH Domain (Swiss Federal Institutes
of Technology).

The position is part of the ERC Starting Project "Tipping dynamics and
resilience in adapting ecological systems" aimed to understand how the
capacity of populations to adapt influence ecological resilience. Within
this project, the postdoctoral researcher will investigate how genomic
signatures of selection vary along the fast-slow life-history continuum,
with a particular focus on disentangling the relative contributions
of coding and regulatory evolution to adaptive potential. To address
this question, the postdoc will combine comparative genomic and
phylogenetic approaches with exploratory analyses of both proximal and
distal regulatory elements, including the use of emerging sequence-based
genomic foundation models (e.g. DNABERT, AlphaGenome, etc).

We are looking for a motivated early-career researcher with a PhD in
computational evolutionary biology or related field. Experience with
comparative genomics and phylogenetic methods is required. The candidate
should be comfortable working with large multi-species genomic datasets
and have a strong conceptual background in evolutionary theory. Experience
analyzing noncoding regulatory regions and an interest in regulatory
evolution and life-history theory would be advantageous. Experience with,
or interest in, modern sequence-based machine-learning approaches and
genomic foundation models is an asset. The working language in the group
is English; fluency in speaking and writing is required. The position
is fully funded for two years (with possibility of extension to one more
year) and is expected to start in Q2 of 2026.

Deadline for applications is 10 March 2026 or until the position is
filled. Your application should include a letter explaining your research
background and motivation to apply for this position, a CV, university
diplomas, and the names and contact information for three references
(all in one pdf file). For details about the position and how to apply,
follow this link https://apply.refline.ch/673277/1341/pub/1/index.html

Catalina.Chaparro@eawag.ch

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