Ocean Modeling Discussion


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PostPosted: Wed Feb 28, 2018 12:32 pm 

Joined: Thu Oct 28, 2004 6:58 pm
Posts: 13
Location: Danish Meteorological Institute
Scientist for Regional Climate modelling in the Danish Climate Atlas

The Danish Meteorological Institute (DMI) will in the coming years develop a common Danish dataset for use in climate adaptation – the so-called Danish Climate Atlas. As a part of this effort, a new fulltime position is established at DMI, where the successful applicant will work with regional climate modelling. The position is temporary and runs until the end of 2021.

As our new colleague you will work with setting up and maintaining the HARMONIE-Climate regional climate model at DMI including execution, pre- and post-processing environments. You will be part of designing and executing model experiments, as well as developing model code as part of an international consortium around HARMONIE-Climate. You will interact closely with the NWP group at DMI in using and developing the HARMONIE NWP model and with the oceanography group in using HARMONIE-Climate output in downstream applications. You will work with analyses of the modelled climate and writing technical reports and scientific papers as well as contributing to grant applications.

Expected qualifications

- Background: Climate scientist (MSc or PhD) with a background in meteorology, oceanography or other fields with strong emphasis on dynamical modelling and mathematics (e.g. physics or engineering)
- Experience with regional climate modelling or numerical weather prediction modelling is an advantage
- Highly analytical, with programming experience in Fortran and C++, Linux/Unix and Python scripting, parallel computing/optimizations and execution of large codes on HPC
- Good communication skills in oral and written English are essential.

Application deadline is Tuesday 27th March 2018. For more details and application process, please see:

https://candidate.hr-manager.net/Applic ... &MediaId=5

Please feel free and distribute.
All the best,


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