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Loïc Pellissier

4 weeks ago

Postdoc in modelling of early prokaryote evolution and interaction with Earth geodynamics ETH Zürich in Switzerland

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

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Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Geology
Environmental Science
Biology
Computational Biology
Earth Science
Biogeochemistry
Astrobiology
Geodynamics
Carbon Cycling
Molecular Evolution
Physics

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About this position

ETH Zurich is recruiting a fully funded postdoctoral researcher for an interdisciplinary project on the modelling of early prokaryote evolution and its interaction with Earth geodynamics. The position is embedded in NCCR Genesis, a National Centre of Competence in Research supported by the SNSF and focused on understanding the emergence of life in the Universe. The project brings together expertise across biology, Earth sciences, chemistry, physics, and planetary science to study how life emerges and how planetary conditions shape biosignatures and habitability.

The research will investigate how the earliest forms of life evolved and how their evolution interacted with the physical and chemical evolution of the early Earth. The successful candidate will develop and implement models linking prokaryotic evolution, energy metabolism, carbon and nutrient cycling, and atmospheric evolution with geodynamic simulations of the early Earth. Topics include mantle dynamics, lithospheric rheology, surface relief, weathering, CO₂ fluxes, palaeogeography, atmosphere, climate, and the habitability of different planetary scenarios such as stagnant-lid regimes and early Earth conditions.

The role sits at the interface of evolutionary biology, molecular evolution, geodynamics, Earth-system science, and planetary habitability. Responsibilities include building on existing models of anaerobic autotrophs and heterotrophs, extending models of Archean carbon and nutrient cycling, and using geodynamic outputs to test how planetary conditions may facilitate or hinder major evolutionary transitions in early metabolisms. The project also aims to explore how biological evolution can reshape planetary conditions and potentially drive systems toward alternative stable states.

The position is initially for 12 months and may be extended based on performance and progress for up to 24 months. ETH Zurich offers a collaborative, inclusive, and international research environment with access to advanced computational resources, mentoring, interdisciplinary networks, and career-development opportunities. The post is especially suited to candidates with strong quantitative and computational skills who are interested in working across disciplinary boundaries and contributing to high-impact research on life–planet co-evolution.

Eligibility highlights: a PhD in geobiology, biogeochemistry, Earth sciences, geodynamics, planetary science, computational biology, or a related field; strong experience in quantitative/computational work and scientific programming; and excellent English communication skills. Experience with microbial energy metabolism, Earth-system modelling, geochemical constraints on early Earth, or high-performance computing will be advantageous.

How to apply: submit your application online via the ETH Zurich portal, including a CV with publication list and contactable references, plus a motivation letter. Applications sent by email or post will not be considered. Questions regarding the position should be directed to Prof. Loïc Pellissier at [email protected].

Application deadline: not specified in the posting.

Funding details

Available

What's required

A PhD in geobiology, biogeochemistry, Earth sciences, geodynamics, planetary science, computational biology, or a closely related field is required. Applicants should have strong experience in quantitative research, computational modelling, data analysis, or a combination thereof, and demonstrated ability to work independently to formulate research questions, develop hypotheses, design analyses, and interpret results. Experience in geophysical/geochemical modelling or in bioenergetics, population ecology, or eco-evolution is expected, along with strong scientific programming and data-analysis skills, preferably in Python, R, MATLAB, Julia, or a comparable language. Candidates should be able to critically evaluate model assumptions, integrate evidence from different data types, communicate clearly in written and spoken English, and work collaboratively across disciplinary boundaries. Additional advantage is given to experience in microbial energy metabolism, geodynamic or mantle-convection modelling, climate or Earth-system modelling, biogeochemical or carbon-cycle modelling, geological or geochemical constraints on early Earth, coupling biological and abiotic models, high-performance computing, or interdisciplinary datasets and modelling frameworks.

How to apply

Apply online through the ETH Zurich application portal. Submit a CV with complete publication list and references, plus a motivation letter. Do not send applications by email or post; questions about the position should be directed to Prof. Loïc Pellissier.

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