Postdoctoral Climate Scientist - Data & Causal Modelling

University of Reading

Reading

On-site

GBP 37,000 - 47,000

Full time

9 days ago

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Job summary

The University of Reading invites applications for a Postdoctoral Research Scientist to develop a robust statistical framework for diagnosing predictable atmospheric circulation signals in climate models and observations.

You will assess implications for climate predictions and develop corrections for model errors using causal networks, under the supervision of Professor Ted Shepherd and Dr Jochen Broecker as part of the AUSPICE project.

Qualifications

  • PhD in meteorology or related subject is required or near completion.
  • Proven track record through peer‑reviewed publications.
  • Proficiency in atmospheric data analysis.
  • Good written and communication skills.
  • Capability of independent thought.
  • Knowledge of multivariate statistical modelling, atmospheric dynamics, climate variability and change, and climate modelling.

Responsibilities

  • Develop a robust statistical framework for diagnosing predictable atmospheric circulation signals in climate models and observations.
  • Assess implications for climate predictions and projections.
  • Develop suitable corrections for model errors using causal networks.
  • Work in the Department of Meteorology under the supervision of Professor Ted Shepherd and Dr Jochen Broecker, within the context of the AUSPICE project.

Skills

Atmospheric data analysis
Excellent written communication
Independent thinking
Multivariate statistical modelling
Atmospheric dynamics knowledge
Climate variability & change
Climate modelling

Education

PhD in meteorology or related field
PhD near completion

Job description

The University of Reading invites applications for a Postdoctoral Research Scientist to develop a robust statistical framework for diagnosing predictable atmospheric circulation signals in climate models and observations.

You will assess implications for climate predictions and develop corrections for model errors using causal networks, under the supervision of Professor Ted Shepherd and Dr Jochen Broecker as part of the AUSPICE project.

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