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Today's Topics:
1. Statistician for Cyber Risk Modelling at RMS London
(Christos Mitas)
2. Stellenausschreibung des Deutscher Wetterdienstes - 20161540
(1540)
3. Postdoctoral position in aerosol modeling at PNNL, USA (Wan, Hui)
4. Postdoctoral Research Scholar (Hydrology and
Hydroclimatology) (Villarini, Gabriele)
5. Researchers for FMI SILAM-team (Ari Karppinen)
----------------------------------------------------------------------
Message: 1
Date: Wed, 26 Oct 2016 05:07:18 +0000
From: Christos Mitas <Christos.Mitas@rms.com>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Statistician for Cyber Risk Modelling at RMS
London
Message-ID:
<SN2PR0601MB0957A54FC367CCA4AADF82D39EAB0@SN2PR0601MB0957.namprd06.prod.outlook.com>
Content-Type: text/plain; charset="utf-8"
Risk Management Solutions (RMS) is the world's leading provider of mathematical models and services related to the financial impact of catastrophes. Our Model Development department has over fifty PhD scientists and engineers based in London, building mathematical models which quantify the distributions of possible damage due to catastrophic events, both natural (e.g. earthquakes, storms, floods), and man-made (e.g. cyber threats, terrorist attacks, pandemics).
Our clients include several hundred insurance and reinsurance companies as well as brokers, banks, hedge funds, regional and local governments, and multilateral agencies.
Within Model Development, the Cyber Risk Modelling team is tasked to develop world-class risk models for the emerging cyber threats, thus providing comprehensive solutions to our Clients.
The purpose of this role is to develop tools and capabilities to understand organisations' cyber risk, and to develop metrics and models to quantify the risk which cyber events pose to an insurance portfolio. It presents a unique opportunity to shape and expand novel modelling ideas and methods which can have a real impact in the medium and longer term development of cyber risk markets. This is further enabled by RMS' central position as a lead provider of scientific understanding and quantification of catastrophic risk
The successful applicant will assemble and use large and complex datasets to extract and manipulate data for the development of sophisticated risk models.
S/he will use various modelling techniques to quantify the impact of cyber risks (e.g. data breaches, DDoS, financial theft, extortion, and so on) to organisations.
In addition, s/he will be expected to contribute to team discussions on development of cyber catastrophe modelling methods.
Due to the dynamic nature of cyber risk, a significant responsibility will be to assist in the growth of the team by understanding the cyber risk landscape and be able to identify trends in areas in which our efforts and expertise will require expansion.
The ideal candidate's qualities, skills and attributes:
Essential:
* PhD degree from a top university in statistics or a relevant subject; for example, applied mathematics, actuarial science, computer science, engineering, or physical sciences.
* Very strong mathematical foundations with particular focus on mathematical statistics and probability.
* Experience working on large and complex datasets including ones stored in relational databases.
* Demonstrated success in developing sophisticated models using advanced mathematics and statistics in academic or industry environments.
* Strong capabilities in modelling languages such as R and Python.
* Previous experience in 1) cyber risk assessment and analysis, and 2) modelling economic impacts of disasters.
Desirable:
* Knowledge and experience with advanced methods of actuarial modelling.
* Knowledge and experience in Bayesian data analysis.
* Familiarity or interest in advanced modelling techniques like game theory and agent-based modelling.
* Strong user skills in a Linux/Unix environment.
* Excellent time management and planning skills with a commitment to delivery.
* Driven and committed, demonstrating initiative and self-motivation.
* Critical thinking and problem solving skills.
* Attention to detail and intense curiosity.
* Willingness to pursue continued education in support of the role and team goals.
If you are interested, please apply directly at: https://app.jobvite.com/j?cj=ohYa4fwd&s=metjobs, including a cover letter and CV.
Appropriate candidates will be invited for interview in London.
Many thanks,
Christos
Christos Mitas, PhD
Vice President of Model Development
http://www.rms.com
http://www.rms.com/cyber
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Message: 2
Date: Wed, 26 Oct 2016 06:06:09 +0000
From: 1540 <1540.personalgewinnung@bav.bund.de>
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Cc: 1540 <1540.personalgewinnung@bav.bund.de>
Subject: [Met-jobs] Stellenausschreibung des Deutscher Wetterdienstes
- 20161540
Message-ID:
<A03AC634F4B62B42889A09A12F5C9E5257BA5386@bav-ex01.bav.local>
Content-Type: text/plain; charset="iso-8859-1"
Der Deutsche Wetterdienst (DWD) sucht zur Mitarbeit im Referat "Systembetreuung" im Geschäftsbereich "Technische Infrastruktur und Betrieb" am Dienstort Offenbach am Main zum nächstmöglichen Termin, unbefristet, eine/n
Informatiker/in, Physiker/in, Mathematiker/in
oder Meteorologin/en (FH-Diplom/Bachelor)
Referenzcode der Ausschreibung 20161540_9334
Das Aufgabengebiet umfasst im Wesentlichen folgende Tätigkeiten:
· Planung, Entwurf und Bereitstellung von Web Services entsprechend den Anforderungen des Flugwetterdienstes
o Planung und Koordinierung der notwendigen Datenbankinfrastruktur
o Spezifikation, Implementierung und Betrieb einer SWIM-Standards konformen Schnittstelle zum Datenempfang bzw. -abgabe
o Implementierung und Bereitstellung von flugmeteorologischen Services
o Planerische und technische Unterstützung bei der Überführung neuer Verfahren in den Betrieb
· Umsetzung von flugmeteorologischen Konzepten zum Datenaustausch und Servicebereitstellung
o Übernahme von Anforderungen aus diversen flugmeteorologischen Projekten
o Identifizierung von Auswirkungen auf im DWD bestehende IT-Systeme
o Berücksichtigung von Strukturen und Prozesse, Interoperabilität und Flexibilität
o Spezifikation und Umsetzungsplanung
· Begleitung der aktuellen, fortlaufenden Entwicklung der Spezifikationen neuer Datenformate mit dazugehöriger kontinuierlicher Unterstützung sowie Integration der Datenformate in bestehende Systeme und technische Infrastrukturen (Vermittlungssysteme, Datenbanken etc.)
· Beratung der Abteilung Flugmeteorologie in technischen Fragen in Bezug auf die durch die Nutzer/innen erwarteten IT-Leistungen und Schnittstellen sowie Ableitung der Anforderungen für die IT, um die spezifische Anforderungen aus der Flugmeteorologie in allgemeine Standards/Prozesse/Systeme des DWDs zu integrieren
· Erstellung von Dokumentation
Unerlässliche Anforderungen an die/den künftige/n DP-Inhaber/in sind:
· Erfolgreich abgeschlossenes Fachhochschulstudium oder gleichwertiger Bachelorabschluss der Informatik, Physik, Mathematik oder Meteorologie
· Sichere Kenntnisse der deutschen (mindestens Level C1 CEFR) und englischen Sprache (mindestens Level B2 CEFR) in Wort und Schrift
· Bereitschaft zu mitunter mehrtätigen Dienstreisen im In- und Ausland
Darüber hinaus erwarten wir von Ihnen:
· Umfassende Kenntnisse und Erfahrungen in der Programmierung Web-basierter Systeme und Datenmanagement und Datenarchivierung
· Umfassende Kenntnisse höherer Programmiersprachen, insbesondere C++ und JAVA, sowie in der Flugmeteorologie
· Kenntnisse der Datenaustauschformate und Schnittstellen im Air Traffic Management
· Kenntnisse und Erfahrungen in der Betreuung von UNIX-Serversystemen
· Kooperationsfähigkeit
· Kommunikationsfähigkeit, auch im internationalen Umfeld
· Befähigung zum analytischen Denken und zur Problemanalyse
· Selbständigkeit und Initiative
· Belastbarkeit im Hinblick auf Zeitdruck, Aufgabenvielfalt und unterschiedliche Anspruchsgruppen
Bezahlung:
Der Dienstposten ist nach Bes.-Gr. A 11 BBesG / Entgeltgruppe 11 TV-EntgO Bund bewertet. Die Zuordnung zu den Stufen erfolgt unter Berücksichtigung der persönlichen einschlägigen Erfahrungen.
Entsprechende Eignung vorausgesetzt, ist eine spätere Verbeamtung im Eingangsamt des gehobenen Dienstes (A 9g BBesG) möglich.
[cid:image003.jpg@01D22F5F.CED43CE0]
Der Deutsche Wetterdienst fördert 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>
Besondere Hinweise:
Die Besetzung des Dienstpostens in Teilzeit ist grundsätzlich möglich.
Frauen werden verstärkt zur Bewerbung aufgefordert.
Frauen werden bei gleicher Qualifikation nach Maßgabe des § 8 BGleiG bevorzugt berücksichtigt. Den Belangen des Bundesgleichstellungsgesetzes wird hierbei Rechnung getragen.
Schwerbehinderte Menschen werden bei gleicher fachlicher Eignung bevorzugt eingestellt. Es wird nur ein Mindestmaß an körperlicher Eignung verlangt.
Die Bewerbung von Menschen aller Nationalitäten wird begrüßt.
Die Auswahl erfolgt durch eine Auswahlkommission.
Bewerbungsverfahren:
Sollte Ihr Interesse geweckt worden sein, bewerben Sie sich bitte bis zum 24.11.2016 über das Elektronische Bewerbungsverfahren (EBV) auf der Einstiegsseite
http://www.bav.bund.de/Einstieg-EBV
Hier geben Sie bitte den oben genannten Referenzcode ein.
Bitte laden Sie im weiteren Verlauf Ihre vollständigen Bewerbungsunterlagen (Lebenslauf, FH-Diplom/ Bachelor-Urkunde und Zeugnis) als Anlage in Ihr Kandidatenprofil hoch.
Zusätzlich pflegen Sie bitte in Ihrem Kandidatenprofil unter "Ausbildung/Abschlüsse" Ihren Studienabschluss mit Abschlussnote und unter "Sprachen" Ihre Deutsch- und Englisch-Kenntnisse.
Für Fragen im Zusammenhang mit dem Elektronischen Bewerbungsverfahren steht Ihnen die Bundesanstalt für Verwaltungsdienstleistungen unter der Rufnummer 04941 602-240 zur Verfügung.
Ansprechpartner/in:
Für nähere Auskünfte steht Ihnen im Deutschen Wetterdienst Frau Nicole Ihling, Tel.: 069 8062-4119, zur Verfügung.
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Message: 3
Date: Tue, 25 Oct 2016 17:48:54 +0000
From: "Wan, Hui" <Hui.Wan@pnnl.gov>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Postdoctoral position in aerosol modeling at PNNL,
USA
Message-ID: <D434E912.12539%hui.wan@pnnl.gov>
Content-Type: text/plain; charset="utf-8"
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Postdoctoral Research Associate
Global and Regional Aerosol Modeling
Pacific Northwest National Laboratory
Richland, WA, USA
Organization and Job ID
Directorate: Earth & Biological Sciences
Division: Atmospheric Sciences & Global Change
Duration of assignment: 3 years (full-time)
Job ID: 305928
Job Description
The Atmospheric Sciences and Global Change Division at Pacific Northwest National Laboratory (PNNL) is seeking a highly motivated postdoctoral research associate for aerosol related research topics in the context of global- and regional-scale aerosol and climate modeling. The successful applicant will collaborate with researchers at PNNL and other national laboratories to:
* develop, implement, and document test strategies to verify the numerical algorithms used in the parameterization of aerosol lifecycle processes in a global climate model, and
* implement new aerosol process modules developed at PNNL within a regional model, investigate the impact of the new treatments in the context of field campaign observations, and publish those findings in the peer-reviewed literature.
It will be essential for the candidate to make the commitment to developing and maintaining robust, clean, and easily maintainable codes and scripts. Teamwork and strong communication skills for engaging with project members at PNNL and other national laboratories will also be very important.
Minimum Qualifications
1. PhD in atmospheric sciences or environmental sciences received within the past five years (60 months) from an accredited college or university.
2. Good knowledge of the physical and chemical processes that affect atmospheric aerosols.
3. Basic understanding of numerical modeling techniques used in Earth sciences or computational physics/chemistry.
4. Fluency in Fortran programing and shell scripting.
5. Experience with data analysis and visualization software.
6. Strong communication skills.
7. Strong team player with the willingness and ability to work independently.
Desirable Qualifications
1. Demonstrated ability to modify, compile, and run complex atmospheric chemistry, weather or climate models.
2. Experience with high-performance computing environments.
3. Experience in using version control tools like Git or SVN.
Equal Employment Opportunity
PNNL is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse, talented workforce. EOE Disability/Vet/M/F/Sexual Orientation/Gender Identity. Staff at PNNL must be able to demonstrate the legal right to work in the United States.
Notes to Applicants
Applications need to be submitted online at <https://pnnl.jibeapply.com/jobs/305928/Post+Doctorate+RA+-+Global+and+Regional+Aerosol+Modeling?lang=en-US<https://pnnl.jibeapply.com/jobs/305928/Post+Doctorate+RA+-+Global+and+Regional+Aerosol+Modeling?lang=en-US>>. The link is accessible until November 18, 2016. When uploading your curriculum vitae, please attach a cover letter to describe your qualifications and research interests.
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Message: 4
Date: Tue, 25 Oct 2016 16:36:32 +0000
From: "Villarini, Gabriele" <gabriele-villarini@uiowa.edu>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Cc: "Villarini, Gabriele" <gabriele-villarini@uiowa.edu>
Subject: [Met-jobs] Postdoctoral Research Scholar (Hydrology and
Hydroclimatology)
Message-ID:
<BY2PR0401MB16876EDA2F7AEC0D53A8698E99A80@BY2PR0401MB1687.namprd04.prod.outlook.com>
Content-Type: text/plain; charset="utf-8"
Dr. Gabriele Villarini seeks a highly motivated postdoctoral research scholar to join his research group (www.gabrielevillarini.com<http://www.gabrielevillarini.com>) within IIHR - Hydroscience & Engineering and the Department of Civil and Environmental Engineering at the University of Iowa. The initial appointment is full-time for one year, with the possibility of renewal subject to satisfactory performance and continued funding. Research will fall within the broad topics of hydrology and hydroclimatology. Of particular interest is the examination of spatial and temporal changes in extreme events, their attribution, their predictability and projected changes. The research team is open to other related research topics and encourages all qualified applicants to apply.
This position is available immediately and the start date is relatively flexible.
The successful candidate will have the opportunity to work closely with faculty, staff, and students of IIHR-Hydroscience & Engineering (www.iihr.uiowa.edu<file:///C:\Users\stolze\AppData\Local\Microsoft\Windows\Temporary%20Internet%20Files\Content.Outlook\OK9KXIG6\www.iihr.uiowa.edu>), a national and global leader in environmental and fluids-related research, education, and service. The University of Iowa is one of the nation's top public research universities and is known around the world for its balanced commitment to the arts, sciences, and humanities. The University of Iowa is located in Iowa City, a community built around higher education, with vibrant cultural opportunities and a long history of international connections, leadership, and accomplishment. Iowa City offers the safe, friendly quality of life for which the Midwest is known.
Qualifications
Ph.D. in a relevant science or engineering field (areas of hydrology, data science, climate science or applied statistics) is required. Experience in processing and analyzing large data sets and model outputs is required. Expertise in computer programming in R or Python is required.
Experience with applied statistics is desirable.
To Apply
All qualified applicants are required to apply through https://jobs.uiowa.edu/jobSearch/postdocDetailDisplay.php?requisitionNumber=2670&fromComm=Y by providing a CV, cover letter, and contact information for 3 references. Review of applications will begin as soon as they are received and will continue until the position is filled. For additional information, contact Gabriele Villarini (gabriele-villarini@uiowa.edu<mailto:gabriele-villarini@uiowa.edu>).
The University of Iowa is an equal opportunity/affirmative action employer. All qualified applicants are encouraged to apply and will receive consideration for employment free from discrimination on the basis of race, creed, color, religion, national origin, age, sex, pregnancy, disability, genetic information, status as a U.S. veteran, service in the U.S. military, sexual orientation, gender identity, associational preferences, or any other classification that deprives the person of consideration as an individual.
____________________________________________
Gabriele Villarini
Associate Professor
Director of Graduate Studies
IIHR-Hydroscience & Engineering
The University of Iowa
Civil & Environmental Engineering
306 C. Maxwell Stanley Hydraulics Laboratory
Iowa City, Iowa 52242
(319) 384-0596
gabriele-villarini@uiowa.edu
www.gabrielevillarini.com
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Message: 5
Date: Wed, 26 Oct 2016 11:40:05 +0300
From: Ari Karppinen <Ari.Karppinen@fmi.fi>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Researchers for FMI SILAM-team
Message-ID:
<1EF0AC8CA63BDC4CBC05EEF79596C8FE019C205DC7AC@EEMELI.pc.fmi.fi>
Content-Type: text/plain; charset="iso-8859-1"
1-2 Researchers (SILAM-FMI)
Finnish Meteorological Institute, Atmospheric dispersion modelling group is seeking qualified researchers to work in a team responsible for development and application of SILAM global-to-mesoscale chemistry transport model (http://silam.fmi.fi).
The work will include the SILAM model development, testing, evaluation and application at various spatial and
temporal scales and all areas related to atmospheric composition and air quality.
One of the key areas will be modelling of coarse biogenic aerosols (pollens, spores), their production by the plants,
release into the air, atmospheric life cycle, and human health impact.
Development and application of data assimilation methods for the bioaerosols using both in-situ and remote-sensing
observations will be one of the key aspects.
The work will start January 2017 or as soon as possible. The position(s) will be located in Helsinki, Finland.
The employment period will be until December 2017 with possible prolongation depending on the results of work
and research projects obtained by the group. Salary will be based on experience and performance according to the FMI salary scale.
Qualifications
Candidates with a PhD or MSc degree, or equivalent in relevant fields (atmospheric physics, applied mathematics and mathematical modelling) will be considered. Furthermore, a successful candidate must meet the following essential criteria:
- strong background in atmospheric sciences or applied mathematics
- strong programming skills, including FORTRAN and Python languages
- extensive knowledge of data analysis and computational physics
- strong team-working and communication skills
- written and spoken fluency in English, and willingness to work internationally (including research visits abroad)
- positive attitude and passion for science!
Other desirable qualifications are
- practical experience in atmospheric modelling, data assimilation
- knowledge of atmospheric chemistry
- knowledge of and interest in biology
To apply, send a short application together with a CV, and a list of publications to hakemukset.kirjaamo@fmi.fi
(cc: ari.karppinen@fmi.fi and mikhail.sofiev@fmi.fi) by email titled "Researcher/SILAM" at the latest
15th November 2016 at 2 pm (EET). Successful candidate(s) will be informed within two weeks after the deadline.
Contact
For more details, please contact Head of the Group Ari Karppinen, ari.karppinen@fmi.fi
or SILAM Model Coordinator Mikhail Sofiev, mikhail.sofiev@fmi.fi.
br,
Ari Karppinen, Dr. Sci., Docent
Research Manager,
FMI/Atmospheric Composition
http://en.ilmatieteenlaitos.fi/atmospheric-dispersion-modelling-group
Erik Palménin Aukio 1
PB 503, 00101 HELSINKI, FINLAND
skype: arikarppinen
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