Postdoc: Exoplanet Atmospheres & Signs of Life

ETH Zurich

Zürich

On-site

CHF 90,000 - 120,000

Full time

12 days ago

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Benefits offered by this job

Salary according to ETH regulations
Conference travel support
Computing and career development

Job summary

ETH Zurich invites applications for a postdoctoral researcher to characterise temperate terrestrial exoplanet atmospheres and search for signs of life within the LIFE program. The role is embedded in the Exoplanets and Habitability Group led by Prof. Sascha P.

Quanz and connected to the LIFE Space Mission. The candidate will work on atmospheric retrieval, modelling, and inference, possibly using ML/AI, and collaborate with ETH Zurich and LIFE collaborators.

Qualifications

  • PhD completed by start date in a relevant field.
  • Strong background in exoplanet atmospheric characterisation and modelling.
  • Experience with atmospheric retrievals and biosignature concepts.

Responsibilities

  • Develop and pursue research on temperate terrestrial exoplanet atmospheres and signs of life within LIFE.
  • Investigate atmospheric scenarios beyond Earth analogues and abiotic alternatives.
  • Develop atmospheric retrieval and modelling approaches, possibly ML/AI methods.
  • Translate results into LIFE science/current instrument requirements in collaboration with LIFE teams.
  • Contribute ideas to LIFE science case and engage with LIFE collaboration.
  • Mentor PhD and undergraduate students on related projects.

Skills

Atmospheric retrievals
Exoplanet atmospheric modelling
Machine learning/AI for inference
Scientific programming

Education

PhD in astrophysics, planetary science, atmospheric science, physics or closely related field

Tools

Radiative-transfer models
Photochemical and climate models

Job description

ETH Zurich invites applications for a postdoctoral researcher to characterise temperate terrestrial exoplanet atmospheres and search for signs of life within the LIFE program. The role is embedded in the Exoplanets and Habitability Group led by Prof. Sascha P.

Quanz and connected to the LIFE Space Mission. The candidate will work on atmospheric retrieval, modelling, and inference, possibly using ML/AI, and collaborate with ETH Zurich and LIFE collaborators.

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