met-jobs@lists.reading.ac.uk
To subscribe or unsubscribe via the World Wide Web, visit
http://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
or, via email, send a message with subject or body 'help' to
met-jobs-request@lists.reading.ac.uk
You can reach the person managing the list at
met-jobs-owner@lists.reading.ac.uk
When replying, please edit your Subject line so it is more specific
than "Re: Contents of Met-jobs digest..."
Please note that attachments can be viewed on the Met-Jobs archive page at http://www.lists.rdg.ac.uk/archives/met-jobs/
Today's Topics:
1. 2 scientist positions in numerical weather prediction are
open at the Norwegian Meteorological Institute (met.no)
(Morten Andreas ?degaard K?ltzow)
2. LBNL Seeks Bio-geochemical Postdoctoral Fellow (Susan McAllister)
----------------------------------------------------------------------
Message: 1
Date: Fri, 24 Aug 2012 12:32:59 +0000 (UTC)
From: Morten Andreas ?degaard K?ltzow <morteno@met.no>
Subject: [Met-jobs] 2 scientist positions in numerical weather
prediction are open at the Norwegian Meteorological Institute (met.no)
To: met-jobs@lists.reading.ac.uk
Message-ID: <505571225.20103.1345811579329.JavaMail.root@imap1a>
Content-Type: text/plain; charset="utf-8"
2 scientist positions in numerical weather prediction are open at the Norwegian Meteorological Institute (met.no)
Permanent position as senior scientist/scientist, 3-year postdoc: Data assimilation in high-resolution models
Fields of work:
The main field of work is high resolution Numerical Weather Prediction (NWP) models with focus on method development for exploiting weather radar and other high resolution observation data. The work will be part of a project with focus on improving forecasts for the Norwegian wind power industry. The scientist will participate in a research group which works on methods for data assimilation, and will also cooperate with international research groups.
Please see http://met.no/English/Vacant_positions/ for details.
Temporary position for 3 years with the possibility of a permanent position as senior scientist/scientist: The predictability of weather and probabilistic forecasts
Fields of work:
The main fields of work will be to develop met.no?s systems for probabilistic forecasting based on ensembles of high-resolution NWP models. The work is performed within an international collaboration where met.no at present holds the project leader. Thus, close contact with groups that work with high-resolution data assimilation and development of the numerical model tools is required, such that the different sources of uncertainty with the forecasting system can be reliably estimated.
Applicants should have a good background within mathematics, statistics, physics and/or meteorology/oceanography, preferably on a PhD-level. An aspiring scientist with Master degrees could also come into consideration. Good IT skills as a background for programming are necessary.
Please see http://met.no/English/Vacant_positions/ for details.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20120824/5b567aa4/attachment.html
------------------------------
Message: 2
Date: Fri, 24 Aug 2012 14:54:08 -0700
From: Susan McAllister <slmcallister@lbl.gov>
Subject: [Met-jobs] LBNL Seeks Bio-geochemical Postdoctoral Fellow
To: Susan McAllister <slmcallister@lbl.gov>
Message-ID:
<CAEROTTD4QkXO1rB5QjKXQzuKmDJ_SABKa97SQ1szReFQ-KNnSQ@mail.gmail.com>
Content-Type: text/plain; charset="iso-8859-1"
On behalf of Dr. Bill Riley, please share this opening:
The Climate Sciences Department of Lawrence Berkeley Lab has an exciting
opportunity for a scientist with expertise in development, testing, and
application of below- and aboveground biogeochemical models, with focus on
high-latitude systems, coupled C and N cycling, and atmospheric feedbacks.
The work will be part of the DOE-sponsored Next Generation Ecosystem
Experiment-Arctic (NGEE-Arctic), whose ultimate goals include the
development of a mechanistic high-latitude land model capable of
integration with CESM and improved climate predictive capability. The
position offers an excellent environment for working with a highly skilled
interdisciplinary team and will require strong motivation and excellent
oral and written communication skills. Lawrence Berkley Lab is a renowned
center of scientific expertise in many facets of climate-related
fundamental and applied science.
The successful candidate will develop, in CLM, mechanistic representations
of high-latitude soil biogeochemical processes and interactions between
belowground biogeochemistry, vegetation, and hydrology. The model will be
tested against extant and new NGEE observations and will require
integration with fine-scale reactive transport modeling and development of
spatial and temporal scaling approaches. The work will focus on several
groups of important high-latitude processes, including: (1)
characterization of belowground C and N cycle dynamics; (2)
characterization of high-latitude vegetation dynamics; (3) interactions and
competition between vegetation and soil microbial processes; (4) dynamics
of mosses and organic soil layers; and (5) impacts on the surface energy
and GHG budgets due to climate-relevant changes in vegetation,
biogeochemistry, and hydrology.
For more information and to apply, please go to:
https://lbl.taleo.net/careersection/2/jobdetail.ftl?lang=en&job=75005
--
*Susan McAllister, PHR
*Sr. Recruiting Consultant
*Lawrence Berkeley National Laboratory*
One Cyclotron Rd. MS 90P
Berkeley, CA 94720
Phone: 510-486-5683 Fax: 510-486-5331
http://jobs.lbl.gov
*Find me on LinkedIn <http://www.linkedin.com/in/slmcallister> *
www.youtube.com/berkeleylab
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20120824/3662ce9a/attachment.html
------------------------------
_______________________________________________
Met-jobs mailing list
Met-jobs@lists.reading.ac.uk
http://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
End of Met-jobs Digest, Vol 429, Issue 5
****************************************
