Post-doctoral associate on climate predictability

Organization

Euro-Mediterranean Center on Climate Change CMCC

Department

Institute for Earth System Predictions (IESP)

Organization URL

Job Location Type

IN_OFFICE

Job Location

Bologna, Italy    

Applicant Location Requirements

No Applicant Location Requirements Specified.

Application Deadline

September 30, 2024

The CMCC Foundation is a scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change.

Our Institute for Earth System Predictions (IESP) is hiring a talented, motivated and proactive post-doctoral associate to work in the Climate Variability and Predictions division in the framework of the ASPECT (Adaptation-oriented Seamless Predictions of European ClimaTe) Horizon Europe project (2023–2027).

The Post-Doctoral Associate will be expected to:

Conduct research on model deficiencies and the origins of seasonal-to-decadal predictability, specifically regarding the signal-to-noise problem and the impact of systematic model biases, with a focus on extratropical air‒sea interaction processes and climatic extremes;
Become part of the Climate Variability and Predictions (CLIVAP) division and assist with the production of climate predictions of different forecast horizons contributing to high-impact publications.

DURATION, COMPENSATION & BENEFITS
The appointment period will be initially of 24 months starting as soon as possible, renewable for 24 additional months pending a positive evaluation. The gross annual salary range is from 35.000 to 45.000 Euros, comprehensive of benefits, depending on qualification and working experience;
Welfare package;
Flexible working time;
Support during the immigration process, if needed.

Special Requirements
– A PhD in climate sciences or related subjects; – Experience with analysing climate model output; – Experience with Python and shell scripting in Unix; – A very good knowledge of the English language; – Publications demonstrating quality research; – Experience with running climate models.

Apply online or via email