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Today's Topics:
1. PhD position (EDF R&D, INRIA): Ensemble forecast of solar
radiation for EDF photovoltaic power generation (Vivien Mallet)
2. EPRI Project Engineer - dispersion modeling and data analysis
(Stephanie Shaw)
3. PhDs in Atmospheric Chemistry at Leeds (Martyn Chipperfield)
4. PhD Student Position for Atmospheric Remote Sensing
(Klemens Hocke)
5. Barcelona - Post Doctoral position on seasonal-to-interannual
climate prediction at the Climate Forecasting Unit (Human Resources)
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Message: 1
Date: Sun, 21 Jul 2013 20:26:29 +0200
From: Vivien Mallet <Vivien.Mallet@inria.fr>
Subject: [Met-jobs] PhD position (EDF R&D, INRIA): Ensemble forecast
of solar radiation for EDF photovoltaic power generation
To: met-jobs@lists.reading.ac.uk
Message-ID: <87k3kjpy5m.fsf@inria.fr>
Content-Type: text/plain; charset=utf-8
EDF R&D offers a PhD position on ensemble forecasting of solar
radiation, with the objective to better forecast EDF photovoltaic power
generation.
Ensembles of meteorological simulations will be studied (M?t?o France,
ECMWF) and generated (WRF). These simulations will be aggregated in
order produce a single, improved forecast. The aggregation will involve
past observations, especially satellite data (Heliosat) that will be
assimilated in the process. Also the forecating system will carry out
uncertainty quantification, since in the context of photovoltaic power
generation, the uncertainties are almost as important as the forecasts
themselves.
Further details on the PhD position are available at:
http://www.rocq.inria.fr/clime/jobs/2013/phd-photovoltaics.pdf
Contact: Vivien.Mallet@inria.fr (+33 1 39 63 55 76)
------------------------------
Message: 2
Date: Sun, 21 Jul 2013 15:15:52 -0700
From: Stephanie Shaw <slshaw23@gmail.com>
Subject: [Met-jobs] EPRI Project Engineer - dispersion modeling and
data analysis
To: Met-jobs@lists.reading.ac.uk
Message-ID:
<CAO3aM17LfVth_fU1iyzsk7b7LuOxd0R2qaQ2XaiFeB=xw692+w@mail.gmail.com>
Content-Type: text/plain; charset="windows-1252"
Please see below for a new job posting in the Air Quality group in the
Environment Sector at the Electric Power Research Institute
Stephanie Shaw
------------------------------------------------------------
http://ch.tbe.taleo.net/CH05/ats/careers/requisition.jsp?org=EPRI&cws=1&rid=1474Project
Engineer/Scientist - Environment & RenewablesJob ID:*1474*Location:*Palo
Alto, CA*Description
*Project Engineer/Scientist
Location: Palo Alto, CA*
*The Position:*
This position will fulfill a key technical role in the EPRI Air Quality
Program Area. Specifically, the candidate will be responsible for
performing air quality modeling applications (in-house) primarily with air
dispersion models, as well as conducting air quality data analysis.
*Job Functions:*
The candidate will be responsible for running various air dispersion models
and analyzing the results. The candidate will also manage large air quality
databases held in house or obtained from other sources and conduct a
variety of data analysis. As part of the position responsibilities, the
candidate will also assist other project managers in processing and
analyzing air quality data, literature reviews, and preparing reports. As
time permits, the candidate may be required to get training on advanced air
quality models and assist senior project managers in running those models.
The candidate will also be responsible for communicating research results
internally and externally. Travel (~ 10% time) domestically is an essential
part of this position.
*The Ideal Candidate:*
The ideal candidate will have superior technical skills in engineering or
environmental sciences, with a strong foundation in numerical analysis. The
candidate must be a strong communicator, both verbally and written. The
candidate should have solid experience in software and database
development. Willingness to work in a dynamic, multi-disciplinary setting
is a plus. Proficiency with analytical tools available for both Windows and
Linux operating systems is desired and knowledge of computer architecture
and programming languages is a strong plus.
*Education Level and Years of Experience:*
- A minimum of Bachelor?s degree in Engineering or Environmental
Sciences with experience in numerical modeling and data analysis
- Prior experience with running air dispersion models is a plus,
although not a must if the candidate has a strong interest in numerical
modeling and demonstrated ability to learn new tools.
- Excellent teaming abilities so as to work successfully with technical
and non-technical staff, and clients.
- Ability to communicate research issues, approaches, and findings with
non-specialistsAdvertising at university/academic venues and trade journals
(e.g., EM)
Note: To ensure compliance with U.S. export controls, please indicate your
U.S. citizenship or (or foreign citizens) your U.S. visa/immigration status
in your resume or cover letter.
EPRI is an equal opportunity employer.
Together . . . Shaping the Future of Electricity.
www.epri.com
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Message: 3
Date: Mon, 22 Jul 2013 07:45:20 +0100 (BST)
From: Martyn Chipperfield <martyn@env.leeds.ac.uk>
Subject: [Met-jobs] PhDs in Atmospheric Chemistry at Leeds
To: met-jobs@lists.reading.ac.uk
Message-ID:
<alpine.LRH.2.02.1307220736050.19067@see-pc-martyn.leeds.ac.uk>
Content-Type: TEXT/PLAIN; charset=US-ASCII; format=flowed
Two fully funded NERC studentships are available (for start in October
2013) in the School of Chemistry at the University of Leeds.
Possible project areas are:
Atmospheric field measurements of hydroxyl (OH) and other
radicals/intermediates (HO2, RO2, IO, formaldehyde, glyoxal) and OH
reactivity using laser induced fluorescence spectroscopy
Supervisor: Prof Dwayne Heard
Kinetics and photochemistry of gas phase and heterogeneous reactions on
aerosols in atmospheric and astrochemical environments
Supervisor: Prof Dwayne Heard
Meteoric smoke in the earth's upper atmosphere
Supervisor: Prof John Plane
More information is available on the school web page:
http://www.chem.leeds.ac.uk/postgraduate-research
http://www.chem.leeds.ac.uk/postgraduate-research/how-to-apply/project-opportunities.html
For additional information please contact Prof Dwayne Heard
******************************************************************
Dwayne E. Heard,
Professor of Atmospheric Chemistry,
School of Chemistry,
University of Leeds,
Leeds,
LS2 9JT,
UK
Tel: +44 (0) 113 343 6471
Fax: +44 (0) 113 343 6565
email: d.e.heard@leeds.ac.uk
http://www.chem.leeds.ac.uk/People/Heard.html
http://www.chem.leeds.ac.uk/Atmospheric/Field/fage/fage.html
****************************************************************************
------------------------------
Message: 4
Date: Mon, 22 Jul 2013 09:50:45 +0200
From: Klemens Hocke <klemens.hocke@iap.unibe.ch>
Subject: [Met-jobs] PhD Student Position for Atmospheric Remote
Sensing
To: met-jobs@lists.reading.ac.uk
Message-ID: <B96DE7CB-F696-4A0E-86DA-FAB80A9CFBA1@iap.unibe.ch>
Content-Type: text/plain; charset="us-ascii"
Dear all,
Please find attached the description of the PhD student position for Atmospheric Remote Sensing at University of Bern, Switzerland.
Thank you,
Klemens
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Message: 5
Date: Mon, 22 Jul 2013 10:56:45 +0200
From: Human Resources <jobs@ic3.cat>
Subject: [Met-jobs] Barcelona - Post Doctoral position on
seasonal-to-interannual climate prediction at the Climate Forecasting
Unit
To: met-jobs@lists.reading.ac.uk
Message-ID: <51ECF3CD.3010702@ic3.cat>
Content-Type: text/plain; charset="iso-8859-1"
<mailto:jobs@ic3.cat>Post Doctoral position on seasonal-to-interannual
climate prediction at the Climate Forecasting Unit (CFU).
Location
IC3 Headquarters in Barcelona, Catalonia, Spain
General description and work environment
The Institut Catal? de Ci?ncies del Clima (IC3) is a climate institution
created by the Government of Catalunya and the University of Barcelona,
aiming at understanding climate change and variability, the dynamics and
theory underlying those changes and the impact on society. IC3 focus on
the Mediterranean regions, tropical Africa, South America and Southeast
Asia.
The Climate Forecasting Unit (CFU) undertakes research to forecast
global climate variations from one month to several years into the
future (also known as seasonal-to-decadal prediction). The unit members
also investigate the impact of climate variability in socio-economic
sectors, and the management of such risk via the development of climate
services for renewable energy, insurance, etc.
For details, see www.ic3.cat and http://ic3cfu.wikispot.org
Main duties
The successful applicant will investigate the predictability and actual
forecast quality of seasonal-to-interannual ensemble predictions carried
out with the dynamical global climate model EC-Earth in the framework of
several European projects. The applicant will be involved in
developments to carry out initialised seasonal-to-interannual ensemble
simulations to contribute to the maintenance of the international
leadership of the Unit in the field. These developments include testing
the impact of the highest possible horizontal and vertical resolution,
the use of stochastic parametrisations and the improvement of the
initialisation of the ocean, land and atmospheric components. Systematic
comparisons with a large range of operational hindcasts and research
experiments will be undertaken. Process-based analysis of the forecast
quality will be a main focus of the job; such analysis should be the
main tool to understand the origin of the model drift and identify the
predictability sources that are under-represented in current forecast
systems. The incumbent will be involved with the Unit's climate services
initiatives, will help developing the tasks of the externally-funded
projects and could contribute to the mentoring of master and PhD
students. Outstanding opportunities exist for collaboration with other
European and international research institutions.
Desired skills / qualifications
Applicants must have a Ph.D. in Atmospheric Sciences, Physical
Oceanography or a related discipline. Ideal candidates will have several
of the following attributes:
- Knowledge of climate dynamics and experience in climate modeling and
prediction.
- Good programming skills in Fortran and Bash, while knowledge of python
scripting and the R language will be highly valued.
- Fluency in spoken and written English, fluency in other European
languages will be also valued.
- A good publication record.
This position implies becoming part of dynamic, multi-national research
group that performs cutting-edge, highly-demanding climate prediction
experiments. The candidate should be able to work as an active and
collaborative team member to help in the delivery of shared objectives
ant to efficiently communicate with a range of colleagues of varying
levels of technical and scientific competence. Hence, the ability to
work as part of a large, strongly-coordinated team and to continuously
share both knowledge and tools is an essential aspect required.
Conditions and application procedures
The position is opened for 24 months with a possibility for extension
and starts preferably in October 2013 or as soon as possible after that
date.The salary will be competitive and commensurate with experience.
To apply, please send your CV accompanied with a brief statement (max. 1
page) of interest and experience with the following subject "Application
for Postdoc position on seasonal-to-interannual climate prediction --
CFU" by e-mail to jobs@ic3.cat
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