This position has been fulfilled

Post-doctoral scientist position at the UCLouvain, Belgium:

Decadal variability of the Southern Ocean and its contribution to the predictability of the atmosphere-ocean-ice sheet system

The climate of the Polar Regions has dramatically changed over the last decades. This may have resulted from external forcing, but also from natural interactions between the components of the climate system. Quantifying the specific contribution of each is critical to understand decadal variability and predict future changes.

Based on the complementary scientific expertise of the project partners, the PARAMOUR project aims at revealing fundamental drivers of climate variability and assessing the predictability in high-latitudes by using coupled regional climate models in both hemispheres.

The partners of the project invite applications for the following position:

Post-doctoral researcher starting date between December 1 2019 and March 1, 2020:

• Full time position for 24 months – can be extended up to 36 months
• Net monthly salary: 2300-2500 € (depending on seniority - this includes social insurances)
• Location: Earth and Life Institute, Université catholique de Louvain, Belgium

The successful candidate will perform and analyse simulations with a new coupled atmosphere-ocean-sea ice-ice sheet model covering Antarctica and the Southern Ocean, in collaboration with the other scientists working on the project. The technical aspects will be supervised by a computer scientist specifically dedicated to this configuration. The post-doctoral scientist will estimate the climate predictability in the Southern Ocean and determine the processes at its origin. This will be the basis for projections of the expected changes over the next 30 years.

Required qualifications:

• To have a PhD in climatology, Earth science or related field (physics, informatics) with previous experience in Earth science;
• To have published in peer-reviewed international journals;
• To have strong experience in programming and in managing large data sets;
• To have demonstrated verbal and written communication skills in English;
• To have interest in working in a multidisciplinary team environment.