Applications must be submitted through:
https://www.jobbnorge.no/en/available-jobs/job/264374/phd-fellow-in-wind-
modeling

The position requires the equivalent of a Norwegian Master of Science (MSc) 
degree, or similar degrees (at the MSc-level) from recognized universities. The 
degree must be within meteorology, oceanography, or physical climate science. We 
will also consider more general degrees within computational fluid dynamics, 
environmental modeling, computational geography, and remote sensing.

The successful candidate must be familiar with (1) the PALM or/and WRF modeling 
systems and (2) the Python scripting with pandas, numpy, netcdf, scipy-learn, 
cartopy packages. Familiarity with other atmospheric and/or wind models and 
broader experience with Python and R scripting will be positively evaluated. 
Candidates without these key qualifications will not be considered. 

A good knowledge and experience in two or more of the following fields is 
expected:

Atmospheric physics, weather prediction 
Geo-information systems and data analysis with python
Numerical modeling for computational fluid dynamics
Familiarity with high performance parallel computing and LINUX
Applicants must document fluency of in English and be able to work in an 
international environment. Nordic applicants can document their English 
capabilities by attaching their high school diploma.  Working knowledge of 
Norwegian or a Scandinavian language is also beneficial.

The candidate must submit a one-page project proposal within the given 
directions. The proposal should include justification of the proposed research 
outlining the proposed methodology, research question(s) and expected scientific 
contribution – all centered on the use of PALM modeling system. The final 
project description will be developed by the supervisor.

The assessment for the position will emphasize the candidate's potential for 
research, motivation, and personal suitability for this position. Candidates 
called for interview will have their modeling experience and knowledge examined 
through a set of written tasks. The project description will also be considered. 
In addition, other experience of significance for the completion of the doctoral 
programme may be given consideration.