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Atmospheric Physics, Parks Road, Oxford, OX1 3PU

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"Postdoctoral Research Assistant in Climate Forecasting"

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Postdoctoral Research Assistant in Climate Forecasting

Postdoctoral

5 January 2026 (midday UK time)

Location

Parks Road, Oxford, OX1 3PU

University of Oxford

Type

Full-time Fixed-term (21 months)

Required Qualifications

PhD (or near completion) in weather/climate science, mathematics, physics, statistical science or related
Demonstrated drive for novel research of international standing
Strong understanding of atmospheric physics, dynamics, predictability on seasonal timescales

Research Areas

Climate Forecasting
Signal-to-Noise Paradox (SNP)
Predictability of Weather and Climate
Climate Dynamics
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Postdoctoral Research Assistant in Climate Forecasting

We are looking for an enthusiastic Postdoctoral Research Assistant to join our research groups “Predictability of Weather and Climate” and “Climate Dynamics” at the Atmospheric, Oceanic and Planetary Physics (AOPP) sub-department of the department of Physics, at the University of Oxford.

The post will address a significant problem in climate forecasting known as the Signal-to-Noise Paradox (SNP). The SNP indicates that real-world predictability is often higher than models suggest, implying that the predictable signals in the forecast models are underestimated and posing a challenge for reliable climate forecasting. The aim of the project is to develop innovative solutions to better understand and correct the SNP, improving climate predictions for the Euro-Atlantic region and beyond.

Applicants should hold a PhD (or be close to completion) in weather and climate science, mathematics, physics, statistical science or relevant related fields. Demonstration of drive and ability to perform novel research of international standing would be essential as well as a good understanding of atmospheric physics, dynamics and predictability on seasonal timescales.

The post is full time and fixed term for 21 months.

The closing date for applications is midday, UK time on Monday, 5 January 2026.

You will be required to upload a CV and Supporting Statement as part of your online application. The Supporting Statement should include a cover letter and should also clearly describe how you meet each of the selection criteria listed in the job description.

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Frequently Asked Questions

🎓What qualifications are required for this Postdoctoral Research Assistant role?

Applicants must hold a PhD (or be close to completion) in weather and climate science, mathematics, physics, statistical science, or related fields. Essential is demonstrated drive and ability for novel research of international standing, plus good understanding of atmospheric physics, dynamics, and predictability on seasonal timescales. See postdoc success tips and academic CV guide.

🔬What is the focus of the research project?

The role addresses the Signal-to-Noise Paradox (SNP) in climate forecasting, where real-world predictability exceeds model predictions. Aim: develop innovative solutions to understand and correct SNP, enhancing predictions for the Euro-Atlantic region and beyond, within "Predictability of Weather and Climate" and "Climate Dynamics" groups.

📅What is the application deadline and how to apply?

Closing date is midday UK time on Monday, 5 January 2026. Upload a CV and Supporting Statement (including cover letter) via online application, clearly addressing each selection criterion in the job description. Check CV tips.

⏱️What is the employment type and duration?

This is a full-time, fixed-term post for 21 months. Ideal for recent PhD graduates seeking postdoctoral experience in climate science at University of Oxford.

📍Where is the position located?

Based at the Atmospheric, Oceanic and Planetary Physics (AOPP) sub-department, Department of Physics, University of Oxford, Parks Road, Oxford, OX1 3PU, UK. Explore postdoc life in UK.

🌍Is visa sponsorship available?

No mention of visa sponsorship in the posting; applicants should confirm eligibility for UK work. UK PhD holders or those with right to work preferred. Refer to Oxford's international researcher resources.
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