November 2014
Message 57

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[Met-jobs] PhD Position in Snow Hydrology, University of Oslo

From "Roger Brugge" <>
To "" <>
Date Wed, 19 Nov 2014 16:52:29 +0000

For the original announcement:

The Department of Geosciences announces a
PhD Research Fellowship in Hydrology and Cryospheric Sciences

Position as PhD Research fellow (Stipendiat SKO 1017) available at Department 
of Geosciences.

The Department of Geosciences at the University of Oslo comprises sections for 
Geology and Geophysics, Geography and Hydrology, Meteorology  and Oceanography, 
Physics of Geological Processes  and the Centre for Earth Evolution and 
Dynamics (Centre of Excellence). The academic staff consists of 40 professors 
and approximately 80 research fellows. For more information, 

Job/ project description:

The specific topic of the Thesis will be developed based on the successful 
applicants own interests and expertise, however it is expected to contribute to 
the general area of snow hydrology and fall within existing research programs. 
Within the research group several projects on snow hydrology are in progress 
including collaborative research between The University of Oslo (UiO) and the 
Northern Research Institute (Norut) and Statkraft.

The successful applicant will be joining a group with research programs on 
Arctic and Alpine snow hydrology, including “Arctic Earth Observation and 
Surveillance Technologies”; a long-term project focusing on the development of 
new advanced technologies for Earth observation from both satellites and UAS. 
Regional studies focus on catchments in southern Norway and Svalbard using 
Structure-from-Motion (SfM) for snow characterization. Other activities are 
focused on process level modeling of atmosphere-cryosphere interaction and 
hydrologic sensitivities. As Norway relies heavily on hydropower for primary 
production as well as storage for renewable energy, improved prognostic 
capabilities for the hydropower industry are a high research priority and 
characterization of catchment scale snow processes is critical for accurate 
seasonal forecasting of water resources.

In addition to field deployments with the UAS, the candidate will have access 
to state-of-the-art hydrologic and snow modeling tools using linux on the ABEL 
supercomputing cluster at UiO ( The ideal candidate will 
have experience with Python and/or C++ and knowledge of large data analysis and 
visualization tools. Those with a particular interest in the development of 
embedded devices such as rasberry-Pi and otherwise are particularly encouraged 
to apply. Within our group you can anticipate to work in a highly collaborative 
environment and participate in a wide array of activities related to 
land-atmosphere processes with an emphasis on the cryosphere.


Applicants must hold a Master’s degree or equivalent in hydrology, meteorology, 
or related with documented knowledge on hydrology, relevant for a PhD-study in 
the above mentioned specialties.

Course work in physics and mathematics along with demonstrated excellence in 
programming skills and the ability to work in a highly team-oriented 
environment are required. You should be creative and innovative with good 
collaborative skills.The candidate should have a good process understanding of 
Earth System Science and be comfortable with modeling concepts and tools. We 
are seeking candidates with a strong background in quantitative methods and 
experience with physically-based hydrological or land surface modeling, 
including own programming. Demonstrated experience working with large data 
sets, with preference for C++, Python, or R is required, preferably with 
experience on linux clusters.

The position as PhD Research fellow (Stipendiat SKO 1017) is intended as a four 
year term with teaching responsibilities.  If two equal candidates are 
considered, preference may be given to one with a good knowledge of a 
Scandinavian language (Norwegian, Swedish, Danish). With the teaching 
responsibilities, the fellowship will be for a period of up to 4 years, with 25 
% compulsory work (teaching responsibilities at the Department of Geosciences). 
Otherwise, the fellowship will be for a period of up to 3 years, with no 
compulsory work. Starting date as soon as possible

No one can be appointed for more than one fixed-term period at the same 

The purpose of the fellowship is research training leading to the successful 
completion of a PhD degree. The fellowship requires admission to the research 
training program at the Faculty of Mathematics and Natural Sciences. An 
approved plan for the research training, including a project outline (made out 
in cooperation with Prof. Dr. J.F. Burkhart), must be submitted no later than 
two months after taking up the position, and the admission is to be approved 
within three months. For more information see:

 A good command of English is required.


Pay grade: 50 - 57 (NOK 421 100 – 473 400 per year)

The application must include:

  *   Application letter
  *   CV (summarizing education, positions and academic work - scientific 
  *   Documentations of English 
  *   Copies of educational certificates, transcript of records and letters of 
  *   List of publications and academic work that the applicant wishes to be 
considered by the evaluation committee
  *   Nmes and contact details of 2-3 references (name, relation to candidate, 
e-mail and telephone number)
  *   Not required, but candidates are encouraged to provide example software 
code or links to code-hosting repositories

Foreign applicants are advised to attach an explanation of their University’s 
grading system. Please remember that all documents should be in English or a 
Scandinavian language.

In accordance with the University of Oslo’s equal opportunities policy, we 
invite applications from all interested individuals regardless of gender or 

UiO has an agreement for all employees, aiming to secure rights to research 
results a.o.

  *   Region:
  *   Oslo

  *   Job type:
  *   Contract

  *   Working hours:
  *   Full-time

  *   Working days:
  *   Day

  *   Application deadline:
  *   December 10, 2014

  *   Location:
  *   Blindern

  *   Reference number:
  *   2014/3379

  *   Home page:

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