Duties
Assess the different assumptions and approaches presently used in the infrared and microwave radiative transfer, by comparing observed and simulated observations using the ARTS (Atmospheric Radiative Transfer Simulator) research tool.
Based on the findings, develop particle model parametrisations for different cloud regimes, suitable to reach the project’s objectives.
Take part in incorporating new models into cloud retrievals made at Chalmers and SMHI, as well as supporting ECMWF to add the models into the operational RTTOV-SCATT observation operator.

QUALIFICATIONS

The fellow should have a university degree in physics, mathematics, meteorology, remote sensing, or equivalent, and relevant research experience, including PhD or at the level thereof.

LANGUAGES

Candidates must be able to work effectively in English, both verbally and written.

Skills and Experience
The fellow should have a university degree in physics, mathematics, meteorology, remote sensing, or equivalent, and relevant research experience, including PhD or at the level thereof.
Experience in microwave and/or infrared, all-sky, radiative transfer will be emphasised.
Knowledge in one or more of the following areas would also be an advantage: retrievals, data assimilation, numerical weather forecasting and cloud physics.
Strong computing skills will be a significant asset. This includes good and proven practical knowledge of programming languages (particularly C/C++ and Python), as well as experience with performing scientific simulations, and their evaluation.
The ability to work as part of a team, a high level of commitment and interest in continuing development and training is required.
Candidates must be able to work effectively in English, both verbally and written.