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. Position of Research Scientist at Deutscher Wetterdienst
(0986.dlz.persorg)
2. PhD funding available: upper ocean microstructure (Brian Ward)
3. WRF DART modeling postdoc position at Lawrence Livermore
National Laboratory (Simpson, Matthew D.)
4. Atmospheric dispersion scientist, Exeter (Roger Brugge)
----------------------------------------------------------------------
Message: 1
Date: Wed, 26 Sep 2012 15:47:36 +0200
From: "0986.dlz.persorg" <0986.dlz.persorg@wsv.bund.de>
Subject: [Met-jobs] Position of Research Scientist at Deutscher
Wetterdienst
To: "met-jobs@lists.reading.ac.uk" <'met-jobs@lists.reading.ac.uk'>
Message-ID:
<F79598A2E55E5F4C8B1F4283AC208C60B3225E@wsd-nw-ex01.wsd-nw.wsv.de>
Content-Type: text/plain; charset="iso-8859-1"
Wir suchen f?r das Referat "Zentrale Entwicklung" f?r den Gesch?ftsbereich "Forschung und Entwicklung" im Deutschen Wetterdienst am Dienstort Offenbach am Main vorbehaltlich der Mittelfinanzierung im Rahmen des Luftfahrtforschungsprogramms im Themenbereich "Weiterentwicklung des Vereisungsdiagnose- und Vorhersageverfahrens ADWICE" zum n?chstm?glichen Termin befristet bis 31.03.2015 eine/einen
Wissenschaftliche/n Mitarbeiter/in
Kennziffer 20120986
Der DWD entwickelt zur Unterst?tzung der Flugwettervorhersage ein sog. ITWS-System (Integrated Terminal Weather System). Ziel des Systems ist es, durch die Kombination verschiedener Messdaten und Vorhersagen einfach zu interpretierende Informationen f?r die Flugwettervorhersage bereitzustellen. Im Rahmen des Projektes WeAC (Wetterinformationen f?r Air Traffic Management und Collaborative Decision Making) soll das bestehende System um die Komponente 'Winterwetter' erweitert werden.
Das Aufgabengebiet umfasst im Wesentlichen folgende T?tigkeiten:
* Wissenschaftliche Weiterentwicklung eines flugmeteorologischen Verfahrens zur Diagnose und Vorhersage von Winterwetterereignissen im Nahbereich von Flugh?fen
* Evaluierung der Nutzeranforderungen
* Wissenschaftliche Konzeption und Realisierung des Verfahrens
* Implementierung des Verfahrens, Verifikation der Ergebnisse sowie Einf?hrung in den operationellen Betrieb
* Dokumentation und Pr?sentation der Verfahren und Arbeitsergebnisse
Unerl?ssliche Qualifikationen zur Aus?bung des Dienstpostens sind:
* Abgeschlossenes Hochschulstudium (Universit?tsdiplom/ Master) vorzugsweise der Meteorologie oder Physik
* Kenntnisse der deutschen Sprache in Wort und Schrift (mind. Level B1 CEFR)
* Kenntnisse der englischen Sprache in Wort und Schrift (mind. Level B2 CEFR)
* Bereitschaft zu Dienstreisen
Dar?ber hinaus erwarten wir von Ihnen:
* Sichere Kenntnisse und Erfahrungen in der Anwendung der Programmiersprache FORTRAN, der Betriebssysteme Windows und UNIX
* Kenntnisse auf dem Gebiet der allgemeinen Meteorologie
* Kenntnisse und Erfahrungen in der Entwicklung und Verifikation meteorologisch-wissenschaftlicher Verfahren (z.B. Nowcastingverfahren oder numerische Modelle)
* Kenntnisse und Erfahrungen in der Anwendung automatisierter Wettervorhersageverfahren und der Visualisierung meteorologischer Daten
* Kenntnisse auf dem Gebiet der allgemeinen Meteorologie
* Erfahrungen in der Projektarbeit
* Kommunikations- und Kooperationsf?higkeit
* Bef?higung zum konzeptionellen und zielorientierten Denken und Handeln
* Bef?higung zum selbstst?ndigen wissenschaftlichen Arbeiten und zur angemessenen Darstellung der Ergebnisse
* F?higkeit sich in vorhandene Strukturen schnell und umfassend einzuarbeiten
* Kreativit?t und Innovationsverm?gen
* Bef?higung zur Umsetzung komplexer wissenschaftlicher Erkenntnisse in praktisch nutzbare Verfahren
Kenntnisse moderner EDV-Werkzeuge (z.B. JAVA, XML), der synoptischen und Flugmeteorologie sind von Vorteil.
Der Dienstposten ist nach Bes.-Gr.: A 13 BBesG / Verg.-Gr. IIa, Fg. 1a, Teil I BAT / EG 13 TV?D bewertet. Die Zuordnung zu den Stufen erfolgt unter Ber?cksichtigung der pers?nlichen einschl?gigen Erfahrungen.
Die Besetzung des Dienstpostens in Teilzeit ist grunds?tzlich m?glich.
Der Deutsche Wetterdienst f?rdert die Vereinbarkeit von Beruf und Familie und wurde entsprechend zertifiziert. Weitere Informationen erhalten Sie unter www.beruf-und-familie.de <http://www.beruf-und-familie.de/> .
Frauen werden bei gleicher Eignung, Bef?higung und fachlicher Leistung nach Ma?gabe des Bundesgleichstellungsgesetzes bevorzugt ber?cksichtigt.
Schwerbehinderte Menschen werden bei gleicher fachlicher Eignung bevorzugt eingestellt. Es wird nur ein Mindestma? an k?rperlicher Eignung verlangt.
Ihre schriftliche Bewerbung mit aussagekr?ftigen und vollst?ndigen Unterlagen in Kopie und ohne Bewerbungsmappe (eine R?cksendung der Unterlagen erfolgt nicht) muss bis zum 22.10.2012 unter Angabe der Kennziffer 20120986 (ohne Angabe der Kennziffer ist eine Bearbeitung nicht m?glich) vorliegen beim:
Dienstleistungszentrum f?r Personalgewinnung und Organisationsangelegenheiten
im Gesch?ftsbereich des Bundesministeriums f?r Verkehr, Bau und Stadtentwicklung,
Schlo?platz 9, 26603 Aurich.
Bewerbungen per E-Mail senden Sie bitte an 0986.dlz.persorg@wsv.bund.de (die maximal zul?ssige Anhanggr??e betr?gt 12 MB).
F?r n?here Ausk?nfte steht Ihnen im Deutschen Wetterdienst Frau Isabel Seeber, Tel.: 069/8062-4256, zur Verf?gung.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20120926/5bef3547/attachment.html
-------------- next part --------------
A non-text attachment was scrubbed...
Name: not available
Type: image/png
Size: 3245 bytes
Desc: image001.png
Url : /archives/met-jobs/attachments/20120926/5bef3547/attachment.png
-------------- next part --------------
A non-text attachment was scrubbed...
Name: not available
Type: image/jpeg
Size: 1915 bytes
Desc: image002.jpg
Url : /archives/met-jobs/attachments/20120926/5bef3547/attachment.jpe
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Ausschreibung_extern.pdf
Type: application/octet-stream
Size: 66343 bytes
Desc: Ausschreibung_extern.pdf
Url : /archives/met-jobs/attachments/20120926/5bef3547/attachment.obj
------------------------------
Message: 2
Date: Wed, 26 Sep 2012 20:14:33 +0100
From: Brian Ward <bward@nuigalway.ie>
Subject: [Met-jobs] PhD funding available: upper ocean microstructure
To: <met-jobs@lists.reading.ac.uk>
Message-ID: <50635419.7060203@nuigalway.ie>
Content-Type: text/plain; charset="ISO-8859-1"; format=flowed
Funded PhD Fellowship: Turbulence Measurements at the Ocean Surface
for the SPURS Ocean Salinity Experiment
This project addresses the following question: What is the vertical
distribution of small-scale temperature, salinity, dissipation, and
velocity in the upper 100 m of the ocean, and how do these processes
contribute to the North Atlantic Salinity Maximum?
The primary focus of this project is to study the small-scale
processes at the ocean surface to quantify their impact on sea surface
salinity using data from the Air-Sea Interaction Profiler (ASIP). ASIP
is upwardly-rising profiler that has a suite of high-resolution
sensors that can provide measurements from mixed-layer depths to the
air-sea interface, including temperature, salinity, shear, velocity,
and PAR. The shear measurements provide the level of turbulence, which
is quantified by the dissipation rate of turbulent kinetic energy.
This dissipation and temperature/salinity profiles are essential to
determining the vertical turbulent fluxes of salt and temperature in a
stratified system, which is the main mechanism of transport of these
scalars. Because of the high spatial resolution of the salinity
profiles, the sea surface salinity can be determined exactly and
related to the bulk salinity and the turbulent fluxes.
--------------------------------------------------------------------
Applicants should have a degree in physics, engineering, or a
closely-related discipline, and a strong motivation for research.
Familiarity with ocean turbulence is desirable but not essential.
Experience with Matlab is essential. Enthusiam for participation in
ocean-going field experiments is necessary. For further information,
contact Dr. Brian Ward bward@nuigalway.ie.
--------------------------------------------------------------------
Applications (curriculum vitae, motivation letter, references) should
be sent by e-mail to Dr. Brian Ward (bward@nuigalway.ie)
--
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Dr. Brian Ward
National University of Ireland, Galway
Tel.: +353.91.493029 Fax: +353.91.494584
E-mail: bward@nuigalway.ie
------------------------------
Message: 3
Date: Wed, 26 Sep 2012 17:07:55 -0700
From: "Simpson, Matthew D." <simpson35@llnl.gov>
Subject: [Met-jobs] WRF DART modeling postdoc position at Lawrence
Livermore National Laboratory
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<3DAC4F697F3F824691552BA16919F87D7483A4CDA5@NSPEXCCR-A.the-lab.llnl.gov>
Content-Type: text/plain; charset="us-ascii"
A WRF DART modeling postdoc position is currently available at the Lawrence Livermore National Laboratory.
To apply: go to https://careers.llnl.gov/ and search for Job ID: 10755
NOTE: This is a two-year Postdoctoral appointment with the possibility of extension to a maximum of three years. For important information about LLNL appointments refer to the FAQs above. Eligible candidates are recent PhDs within five years of the month of the degree award at time of employment offer.
NATURE AND SCOPE OF JOB
The Atmospheric Earth and Energy Division (AEED) within the Physical and Life Sciences (PLS) Directorate has an opening in the Energy Group to do original and independent research on development and application of ensemble-based wind forecasting methods. The researcher will work with the Weather Research & Forecasting (WRF) and Data Assimilation Research Testbed (DART) open source codes maintained by the National Center for Atmospheric Research (NCAR) and other forecasting systems. This work is in support of research efforts at LLNL that seek to better understand error and statistical variation in wind and solar power forecasts, as this is needed to integrate increasing fractions of renewable generation into utility power. Efforts look both at grid-scale planning needs and at individual plant performance forecast needs. The postdoc will fill a key role in WRF-DART ensemble forecast methods, including input, execution and analysis of ensemble forecast runs using the LLNL high performance computing systems. The selected candidate will be expected to take a leadership role in ensemble-based forecasting technology at LLNL, and will work collaboratively with NCAR on WRF-DART development topics. The position will report to the Energy Group Leader.
ESSENTIAL DUTIES
- Utilize publically available meteorological models (WRF and DART) to research the impact of initial condition and model error uncertainty on renewable energy (wind and solar) forecasts.
- Develop and validate new algorithms for quantifying renewable energy forecast uncertainty.
- Work with the LLNL researchers, research staff members, and personnel from other national laboratories, DOE and industry in collaborative research projects.
- Participate in program reviews, briefings to other organizations, conferences and other technical meetings.
- Publish both peer-reviewed publications and programmatic reports summarizing research findings.
- Present results at program meetings and national conferences.
- Perform all assignments in accordance with ES&H, security, and business practice requirements and policies.
ESSENTIAL SKILLS, KNOWLEDGE, AND ABILITIES
- Recent PhD in atmospheric science, engineering, computational fluid dynamics or related field.
- Experience running the Weather Research and Forecast (WRF) atmospheric model for research or operational forecast applications.
- Strong understanding of current data assimilation techniques, in particular ensemble based data assimilation.
- Experience estimating atmospheric forecast uncertainty using NCAR's Data Assimilation Research Testbed (DART) software.
- Demonstrated ability to analyze and validate large model data sets.
- Demonstrated written and verbal communication skills to work effectively in a diverse research team environment.
- Experience producing and presenting research results in programmatic and scientific meetings.
- Experience functioning as an independent researcher with a high level of attention to detail.
- Publication record in peer-reviewed literature with experience presenting research results to a large audience.
DESIRED SKILLS, KNOWLEDGE, AND ABILITIES
- Fluent in Unix based scripting languages (Python, Perl, etc.).
- Experience working with weather observations from the Meteorological Assimilation Data Ingest System (MADIS).
- Familiarity with statistical and graphical software packages for post processing WRF output (NCL, RIP, GrADS, Matlab, R, etc.).
SPECIAL REQUIREMENTS
Pre-Placement Medical Exam: None required.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
Anticipated Clearance Level: None.
Matthew Simpson, Ph.D
Atmospheric Scientist
Lawrence Livermore National Laboratory
Email: msimpson@llnl.gov<mailto:msimpson@llnl.gov>
Tel: (925) 422-1034
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20120926/920eabad/attachment.html
------------------------------
Message: 4
Date: Thu, 27 Sep 2012 09:01:55 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Atmospheric dispersion scientist, Exeter
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<D0D8436C33B2244E8ECF2C71D60CB50F323E7281@VIME-MBX2.rdg.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"
Met Office
Atmospheric Dispersion Group (ADG) Scientist
?21,250 up to ?24,250 or ?25,500 up to ?29,100 for exceptional candidates + competitive
benefits
Based in Exeter
Full-time
Please see the attachment for details.
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Atmospheric Dispersion Group _ADG_ Scientist - FInal.pdf
Type: application/octet-stream
Size: 12232 bytes
Desc: Atmospheric Dispersion Group _ADG_ Scientist - FInal.pdf
Url : /archives/met-jobs/attachments/20120927/ffb6b14a/attachment.obj
------------------------------
_______________________________________________
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 434, Issue 4
****************************************
