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Wednesday, February 11, 2015

Met-jobs Digest, Vol 558, Issue 3

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Today's Topics:

1. PhD post in the University of Southampton (ZhengTong Xie)
2. Atmospheric Scientist (Sigl Andrea)
3. Postdoctoral Fellows in Solar Energy Meteorology, Power Flow
Modeling, and/or Optimization (Jan Kleissl)
4. Job vacancy - Met Office - Drought Research Scientist
(Verney, Fiona)
5. Job opportunity in coastal-ocean modelling at the National
Oceanography Centre, Liverpool (Polton, Jeffrey)


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Message: 1
Date: Tue, 10 Feb 2015 14:56:15 +0000
From: ZhengTong Xie <z.xie@soton.ac.uk>
Subject: [Met-jobs] PhD post in the University of Southampton
To: <met-jobs@lists.reading.ac.uk>
Message-ID: <54DA1C0F.1080300@soton.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"

Dear colleagues,

please disseminate the PhD vacancy below.

Many thanks,
Zheng-Tong


.......................................................................................................................................

Towards Airborne Hazard Emergency Management System for Local
Environments
<http://www.ngcm.soton.ac.uk/projects/Towards-Airborne-Hazard-Emergency-Management-System-for-Local-Environments.html>


Project Description: The accidental or deliberate release of hazardous
chemicals in urban environments or industrial sites, potentially poses a
substantial threat to the environment and societies. The Buncefield oil
depot fire of 2005 resulted in the evacuation of hundreds of homes and
closure of more than 200 schools and public buildings for two days;
consequences would have been much more severe if prevailing
meteorological conditions had promoted mixing or entrainment of the
smoke plume into the urban canopy. It is crucial to be able to model,
quickly (e.g. quicker than 'real-time') and reliably, dispersion from
localised sources at short range (< 1 km, where the threat to human
health is greatest) to inform decision making. However, this is
precisely where current operational models are least reliable because
our understanding and ability to model short-range dispersion processes
is limited.

Large-Eddy Simulation (LES) is a high fidelity simulation tool that is
able to predict the instantaneous properties and behaviour of chemical
releases in the vicinity of complex geometries (e.g. from rural,
semi-rural to urban environments). Nevertheless, challenges remain,
including (1) thermal stratification effects due to global/localised
surface heating, and (2) effects of meteorological conditions on
dispersion. This project will focus on (1) and (2) for modelling gas
dispersion, linking to other research activities at Southampton where
appropriate.

Even with access to one of the most powerful High Performance Computers
(such as IRIDIS4 at the University of Southampton) LES is
computationally much slower than real time. For instance, in some
circumstances the location of the release may need to be identified and
appropriate consequence management decisions need to be taken.
Therefore, a comprehensive database to store these LES data (e.g. flow
fields under pre-defined meteorological conditions) will be used for
parameterisation or off-line by simpler and much faster approaches, e.g.
the CT-Analyst model.

The primary goal of the project is to extend the capability (e.g.
efficiency and accuracy) of LES on such problems, and to provide a solid
database (including post-processed statistics data) for verification and
extension of fast prediction methods.

If you wish to discuss any details of the project informally, please
contact Dr Zheng-Tong Xie, Aerodynamics and Flight Mechanics research
group, Email: z.xie@soton.ac.uk, Tel: +44 (0) 2380 59 4493.

Keywords: Computational Engineering, Computational Modelling,Fluid
Dynamics,Aeronautical Engineering,Applied Mathematics,Civil & Structural
Engineering,Environmental Sciences


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Message: 2
Date: Tue, 10 Feb 2015 14:28:12 +0000
From: Sigl Andrea <andrea.sigl@zamg.ac.at>
Subject: [Met-jobs] Atmospheric Scientist
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<225A8D3ED62B31469A2BC815E1AAB8B42F268EB5@zavmex2.ZAMG.local>
Content-Type: text/plain; charset="iso-8859-1"

Dear Madam / Sir,


The Central Institute for Meteorology and Geodynamics (ZAMG) offers a position in the field of numerical weather prediction.



Could you please advertise this job. Application deadline is 09.03.2015.



Please see the attachment for details.

Sincerely,
Andrea Sigl


Mag. Andrea Sigl
Abteilung Vorhersagemodelle / Department of Forecast Models
Bereich Daten, Methoden, Modelle / Division Data, Methods, Models

ZAMG - Zentralanstalt f?r Meteorologie und Geodynamik
1190 Wien, Hohe Warte 38
Tel.: +43 1 36026 2315
Fax: +43 1 36026 2320
E-Mail: andrea.sigl@zamg.ac.at<mailto:andrea.sigl@zamg.ac.at>
www.zamg.ac.at<http://www.zamg.ac.at/>

[Beschreibung: Beschreibung: Beschreibung: cid:part1.02030700.07050302@zamg.ac.at]<http://www.zamg.at/>

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Message: 3
Date: Tue, 10 Feb 2015 07:46:16 -0800
From: Jan Kleissl <jkleissl@eng.ucsd.edu>
Subject: [Met-jobs] Postdoctoral Fellows in Solar Energy Meteorology,
Power Flow Modeling, and/or Optimization
To: met-jobs@lists.reading.ac.uk
Message-ID:
<CAK5iYc44Q-3xU+em6DVup=q=EPoDo9s3h8Fd6da4w+be5YKSfg@mail.gmail.com>
Content-Type: text/plain; charset=UTF-8

Vacancy for Postdoctoral Fellow in Solar Energy Meteorology and Grid
Integration at UC San Diego

The Center for Energy Research, University of California, San Diego,
is seeking one highly qualified scientist as postdoctoral researcher
starting immediately. The position is part of Department of Energy
(DOE), California Energy Commission (CEC), and California Public
Utilities Commission (CSI) funded projects to facilitate solar energy
grid integration through solar energy forecasting and power grid
modeling. The goal is to avoid or reduce integration costs of high
penetration of solar photovoltaic (PV) systems into the electric grid.
Further information about the Kleissl Solar Resources and Forecasting
Lab can be found at http://maeresearch.ucsd.edu/kleissl and
http://solar.ucsd.edu. 15 PhD students and two postdoc presently
conduct their research in the lab.

Forecasts of solar photovoltaic output will be generated for
minutes-ahead using sky imagers and hours and days-ahead using the
Weather Research and Forecasting (WRF) model and grid impacts will be
modeled with OpenDSS (see related publications at
http://maeresearch.ucsd.edu/kleissl/pubs/pubs.html). The successful
candidate will work with colleagues at NREL, Sandia National Lab, DOE,
utilities, and industry on joint projects and present at national and
international conferences such as IEEE Power Engineering Society,
American Solar Energy Society, and American Meteorological Society.
The postdoctoral fellow will have access to unique solar resource
databases and observatories such as 1-sec inverter-level output from
the 48 MW Copper Mountain Photovoltaic plant, a solar resource network
at UC San Diego including 9 pyranometers, two advanced UCSD sky
imagers, cloud speed sensors, a radiometer, an atmospheric profiler,
and long-term sky imager deployments in Oklahoma (ARM), Hawai'i, and
California.

Strong programming and data analysis skills are required. Experience
with one or several of the following would be beneficial:
radiative transfer models (3DRTM)
numerical weather prediction (WRF, PBL schemes, data assimilation)
marine stratocumulus meteorology
image processing (cloudy / clear image segmentation, optical flow)
electric power flow models (OpenDSS, quasi-steady state)
Optimization of inverter or energy storage placement and operation

Applicants should hold a PhD degree in a relevant discipline
(atmospheric science, meteorology, physics, environmental, electrical,
or mechanical engineering) that was conferred no more than 4 years ago
or have submitted their thesis at the time of appointment.
Collaborative opportunities exist with the Scripps Institution of
Oceanography Center for Atmospheric Sciences (Prof. Norris), and the
research groups of Profs. Coimbra and Arias-Castro.

To apply, please submit a short description of qualifications, CV
including list of peer-reviewed publications, and list of three
referees by February 28, 2015 to jkleissl@ucsd.edu. Further
information about the position can be obtained from Professor Jan
Kleissl, jkleissl@ucsd.edu. Applications will be accepted until the
position is filled.



------------------------------

Message: 4
Date: Tue, 10 Feb 2015 15:57:28 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] Job vacancy - Met Office - Drought Research
Scientist
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<1D2BA1CAE298F449AE7741008C676A8607F9BC6B@EXXCMPD1DAG2.cmpd1.metoffice.gov.uk>

Content-Type: text/plain; charset="iso-8859-1"

Drought Research Scientist
Salary Information
?21,675 and for exceptional candidates up to ?29,100 + competitive benefits including Civil Service Pension
The role
Drought - a major climate phenomenon that affects many parts of the world and poses a real and continuing threat to the livelihoods of millions. But what defines drought and what causes it? Our predicting capability of drought remains very limited, reflecting its multifaceted nature and wide range of drivers. Gaining a deeper understanding of drought will aid climate risk assessment and water resource management, and enable us to develop products and services that help countries and organisations to better prepare for its effects. Right now, we're looking for a Drought Research Scientist to perform valuable research in this area.

In this valued role, you'll be involved in a major component of our Climate Science Service Partnership - East Asia Climate Variability and Prediction (CSSP-WP3) programme, contributing underpinning scientific research on drought and dry spells. You'll look at the climate dynamics perspective of drought research and explore the mechanisms, driving factors, potential predictability and feedbacks of drought in East Asia and further afar. From developing suitable diagnostics and exploring sensitivity to model resolution and physical parameterisations, your day-to-day work will be varied. You'll devise reports, contribute to research plans and provide insightful scientific and technical advice to other team members and international collaborators. This is an exciting opportunity to improve the understanding and modelling of drought processes and make a significant contribution to a programme that will uncover important information on a climate phenomenon that's yet to be fully explored.
The person
You'll come to us with a background in physical or environmental science and a passion to expand your knowledge. You'll combine this with good written and verbal communication skills and the ability to explain technical issues clearly and in a way that is audience-appropriate.

In order to be considered for this role, you'll need to have the following essential criteria:

1. Strong background in physical science and/or climate.
2. Good scientific computing skills including experience with numerical analysis.
3. Evidence of a high capacity for innovative thought and problem solving.
4. Evidence of the ability to work and collaborate as an active and productive member of a team.
5. Evidence of good written and oral communication skills, appropriate for collaborations and presentations both within and external to the Met Office.

If you possess any of the following desirable criteria, that's even better:

1. Proven research capability in a relevant discipline (with relevant postgraduate research experience).
2. Keen on international collaboration and travel.
3. Good planning, time management and organisational skills.

About us
Through world-leading science and cutting-edge technology, through idea generation and enthusiasm, we collaborate to challenge the ordinary every day because we believe in the best. The best for our customers, the best for your career. It's a career where you'll be challenged, developed and fascinated; a career where whatever you do, your work will make a valuable contribution to the bigger picture. A career to be proud of.
What we can offer you
We're constantly moving forwards, looking to optimise our abilities. Which is why, joining us, we'll invest in your development to help you be the very best you can be in whatever it is that you do. Rewards? There are plenty of those too. A competitive pension, opportunities for flexible working, performance-related pay schemes, some great benefits as well as 27.5 days' holiday, which increases to 32.5 days after 5 years. And based in our award-winning Exeter headquarters, you'll have world-class facilities all around you.
Additional Supplementary Information
Please note, if you do not currently have permission to work in the UK, we will be unable to provide this for you for this vacancy

Click here to apply online <https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=QBHFK026203F3VBQB79LO8N25&nPostingTargetID=1213&step=DIRECT>

[HR-careers-e-sig]<http://careers.metoffice.gov.uk/>[HR-careers-e-sig]<https://www.linkedin.com/company/met-office>[HR-careers-e-sig]<http://careers.metoffice.gov.uk/current-vacancies>




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Message: 5
Date: Tue, 10 Feb 2015 17:40:04 +0000
From: "Polton, Jeffrey" <jelt@noc.ac.uk>
Subject: [Met-jobs] Job opportunity in coastal-ocean modelling at the
National Oceanography Centre, Liverpool
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID: <A297F3F7-D5E0-4317-9BAA-A3DF817454BC@noc.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"


http://noc.ac.uk/jobs/150114-marine-renewable-energy-modeller

Marine Renewable Energy Modeller
About the role:
We are seeking to recruit a marine scientist/numerical modeller to join our world leading team in coastal-ocean modelling. The successful applicant will work on the application of coupled hydrodynamic-wave models to the study of Marine Renewable Energy Devices, assessing resources and impacts of proposed schemes across the NW European shelf seas.
In this role you will be expected to setup up, run and analyse coupled and stand alone wave and hydrodynamic models, using the most appropriate of our suite of modelling tools including NEMO, POLCOMS, WAM and Wave Watch III, and also the unstructured models, ADCIRC and FVCOM. Within these you will develop methodologies for the implementation of wave and tidal stream devices to assess their potential for energy extraction and impacts on the physical environment, and to write scientific papers and present findings at project workshops and international scientific conferences. Opportunities exist to develop this work further with the ERSEM ecosystem model.
The post is partly funded by the EPSRC EcoWatt2050 project (http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/K012851/1), on which you will be working as part of an experienced UK team led by Prof Jon Side of the Heriot-Watt University in Orkney, which is looking at the impact of large arrays of marine renewable energy devices and the effects of climate change.
This post is offered on NERC terms and conditions and is available initially for a fixed term of 2 years.
Salary:
?26,715 to ?30,000 per annum (additional allowances may be available for exceptional candidates)
About you:
You will be highly numerate, have a PhD or equivalent research record, and have experience in coastal ocean modelling and data analysis. Your first degree will be in physical sciences, engineering, mathematics or oceanography, and you must have demonstrated programming skills. A proven ability in scientific publication would be advantageous and good communications skills are essential.
What we can offer you:
In return for your talents, we offer a competitive remuneration package, including a RCUK pension scheme, 30 days annual leave with a further 10.5 Public/privilege days. Opportunities for further training and development are supported. The role will include periods of travel both within the UK and internationally.
How to apply:
Applications are handled by the UK Shared Business Services Ltd (UK SBS); for further information about the role and to apply, please visit our website at http://topcareer.jobs/ quoting reference number IRC172914. If you are unable to apply online please contact us by telephone on 00 44 (0) 1793 867003
Closing Date: 14 February 2015



________________________________
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system.
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