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Today's Topics:
1. Systems Analyst for the Data Handling System, ECMWF
(Roger Brugge)
2. PostDoc Position (Tijana Janjic Pfander)
3. Atmospheric Science Research Team Lead at The Climate
Corporation (Bianca Giusto)
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Message: 1
Date: Fri, 3 Oct 2014 11:18:30 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Systems Analyst for the Data Handling System,
ECMWF
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<B510E661B180DE459DF354D6B8026C1D3D895A11@vime-mbx5.rdg.ac.uk>
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Date of Issue: 27 August 2014
FUNCTION: Systems Analyst for the Data Handling System
(Interviews for this position are expected to take place during week beginning 27 October 2014)
GRADE: A2, according to the scales of the Co-ordinated Organisations.
REFERENCE NO: VN14-18
LOCATION: ECMWF Headquarters at Shinfield Park, near Reading, Berkshire, United Kingdom.
ENVIRONMENT:
The European Centre for Medium-Range Weather Forecasts (ECMWF) is an international organisation supported by 34 States.*
ECMWF?s principal objectives are the development of numerical methods for medium-range, monthly and seasonal weather forecasting; the preparation, on a regular basis, of these weather forecasts for distribution to the meteorological services of the Member States; scientific and technical research directed to the improvement of these forecasts; and the collection and storage of appropriate meteorological data. Satellite and in situ observations provide the information for up-to-date global analyses and reanalyses of the atmosphere, ocean and surface. For details see:
www.ecmwf.int/en/research
ECMWF?s main computing facility includes supercomputers, archiving and data handling systems. ECMWF is connected to the meteorological telecommunication system and to its Member States via efficient networks linking 44 countries. A detailed description is available at:
www.ecmwf.int/en/computing
ECMWF operates a large-scale Data Handling System (DHS), in which all ECMWF users can store and retrieve data needed to support both weather forecasting research and the production, on a regular basis, of weather forecasts for distribution to the meteorological services of the Member States. Today this system holds over 70 petabytes of primary data, with a further 17 petabytes of essential data duplicated in the on-site disaster recovery system. Approximately 100 terabytes of new data is added each day.
The underlying storage software management is IBM?s High Performance Storage System (HPSS). HPSS provides a tiered storage system using IBM pSeries and x86 servers to provide access to over two petabytes of disk storage and four Oracle SL8500 tape libraries with more than 200 enterprise tape drives. An IBM TS3500 tape library with LTO tape drives is housed in a separate building at ECMWF to provide extra layers of resiliency.
MAIN DUTIES: The post is in the Data Handling System team in the High Performance Computing & Storage Section of ECMWF?s Computing Department.
The DHS team supports the data archive. The successful applicant will work as part of a small team that ensures the system continues to provide the high levels of service that are expected.
The main duties of the post include:
? assisting with the management of the overall DHS archive and its infrastructure, the installation and configuration of both Linux and AIX operating systems and the various data management software applications used at ECMWF (currently HPSS, DB2 and TSM);
? working closely with engineers when new hardware is installed, in order to configure, test and evaluate the hardware and bring it into production in a timely fashion;
? providing day-to-day support for the DHS, which entails periodic 24-hour on-call support;
? providing scripting services for the DHS team, in particular:
o providing monitoring and administration tools, as well as documentation and training, to enable the effective and efficient running of the DHS service to be maintained;
o providing analysis tools for ascertaining trends and patterns in the use of the DHS, principally for capacity analysis and planning;
? assisting in the research and evaluation of new types of servers, automated tape libraries, peripheral devices and media, which may involve liaising with the development teams of various vendors and providing input for the long-range strategic planning of the DHS facilities.
QUALIFICATIONS: A university education to degree standard or equivalent is required.
Experience in one or more of the following areas is advantageous:
? Experience with IBM?s HPSS and DB2
? Experience with other large-scale data archiving systems such as SAM/QFS, DMF, StorNext, TSM etc. and their underlying databases
? Administration of a collection of servers running Linux and AIX operating systems
Applicants should show initiative and have good analytical skills; the flexibility to adapt to changing organisational priorities and needs; the commitment, enthusiasm and interpersonal skills to work with colleagues in a small team; and the ability to work under pressure when the timeliness of a resolution to a problem is critical.
The working languages of ECMWF are English, French and German. Candidates must be able to work effectively in English. A good knowledge of one of the other working languages would be desirable. Interviews will be conducted in English.
ECMWF has an Equal Opportunities Policy and applications from all suitably qualified candidates are welcome.
Staff are usually recruited from among nationals of the Member States and Co-operating States. However, applications from highly qualified candidates who come from other countries will be considered.
REMUNERATION: The successful candidate will be recruited at the A2 grade and the annual basic salary will be ?52,822 net of tax. This position is assigned to the employment category STF C as defined in the Staff Regulations.
Full details of salary scales and allowances are available on the ECMWF website at www.ecmwf.int/en/about/jobs, including the Centre?s Staff Regulations regarding the terms and conditions of employment.
STARTING DATE: 1 January 2015, or as soon as possible thereafter.
LENGTH OF CONTRACT: Maximum of four years for initial contract, with the possibility of renewal.
APPLICATIONS: Please apply by completing the online application form available at www.ecmwf.int/en/about/jobs.
All applications for this position must be sent through the online application portal.
CLOSING DATE: The closing date for this position is Wednesday, 8 October 2014.
* The ECMWF Member States are: Austria, Belgium, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Italy, Luxembourg, the Netherlands, Norway, Portugal, Slovenia, Spain, Sweden, Switzerland, Turkey and the United Kingdom.
The ECMWF Co-operating States are: Bulgaria, Croatia, Czech Republic, Estonia, former Yugoslav Republic of Macedonia, Hungary, Israel, Latvia, Lithuania
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Message: 2
Date: Fri, 3 Oct 2014 14:09:19 +0200
From: Tijana Janjic Pfander <tijana.pfander@physik.uni-muenchen.de>
Subject: [Met-jobs] PostDoc Position
To: met-jobs@lists.reading.ac.uk
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<FF0B1AC3-5FAF-467C-AB55-8858F0A74667@physik.uni-muenchen.de>
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Dear Colleagues,
A postdoctoral position is available at meteorology department of Ludwig Maximilian University, Munich, Germany that focuses on the application and development of the data assimilation methodology (see short summary of the project below). This DFG (German research foundation) project has the funding for 3 years (full position) that also includes travel budget for the collaboration with Prof. D.B. McLaughlin (MIT).
A Ph.D. in atmospheric science, computational science or applied mathematics is required. Success in the project requires to have or acquire expertise in numerical discretization/minimization algorithms, data assimilation methodology and the ability to work and code with numerical weather prediction models. The successful applicant should arrive with expertise in at least one of the aspects mentioned above. Acquiring knowledge on the other aspects during the proposed study would be possible.
Interested applicants please email a CV, contact information for two references, and the possible start date to Dr. Tijana Janjic (tijana.janjic-pfander@dwd.de or tijana.pfander@lmu.de).
Cheers
Tijana Janjic Pfander
%%%%%%%%%%%%%%%%%%%%%%%%
Conservation laws and ensemble Kalman filter algorithms
Tijana Janjic Pfander
Hans Ertel Centre For Weather Research, German Weather Service
Abstract
Maintaining physical conservation laws numerically has long been recognized as being important in the development of numerical weather prediction (NWP) models independent of their resolution. In the broader context of data assimilation, however, concerted efforts to maintain conservation laws numerically and to understand the significance of doing so have begun only recently. The numerical models of the atmosphere that resolve highly nonlinear dynamics and physics are very sensitive to proper initial and boundary conditions. Consequently, data assimilation for NWP models that resolve many scales of motion and for observations of higher temporal/spatial density/resolution requires re-evaluating and improving methodology that is currently inherited from less nonlinear applications.
The principal objective of this project is to develop an ensemble-based data assimilation algorithm that replicates properties of nonlinear dynamical systems such as conservation of mass, angular momentum, energy and enstrophy. Two problems will be addressed. First, conservation of mass and preservation of positivity have been shown in recent work by the principal investigator and colleagues to be important constraints for data assimilation algorithms. These two constraints have been incorporated into a new algorithm, the quadratic programming ensemble Kalman filter and tested for linear dynamics. In this project, the algorithm will be extended, implemented and tested with the non-hydrostatic, convection permitting COSMO-DE model in an idealized setup for the assimilation of radar reflectivity. As the second problem that will be addressed, it will be examined how data assimilation algorithms such as the ensemble Kalman filter and the quadratic programming ensemble Kalman filter affect the conservation properties in idealized nonlinear 2d shallow water model experiments and whether and how these ensemble based algorithms can be modified to obtain solutions that conserve angular momentum, energy and enstrophy. The conservation of energy and enstrophy is expected to improve the nonlinear energy cascade in the system. The possible impact on the accuracy of prediction will be examined as well.
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Message: 3
Date: Fri, 3 Oct 2014 17:09:36 -0700
From: Bianca Giusto <bgiusto@climate.com>
Subject: [Met-jobs] Atmospheric Science Research Team Lead at The
Climate Corporation
To: met-jobs@lists.reading.ac.uk
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Greetings!
The Climate Corporation is looking for an experienced senior-level applied
scientist to build and manage our Atmospheric Science team. This team will
be a part of our Science team, which leverages big data and cloud computing
to tackle real-world problems in atmospheric sciences and their relation to
farm management and agricultural risk management. We work with
observational weather data, modeling output, agricultural data, remote
sensing data, and more. We are looking for a lead researcher with expertise
in one or more of the fields in our areas of active research.
Please see the job description below and apply through the link if you are
interested.
If you have questions, please feel free to contact me directly at
bgiusto@climate.com.
Thank you for your time,
Bianca Giusto
Lead Recruiter, Science Team
The Climate Corporation
Current Openings
<http://hire.jobvite.com/CompanyJobs/Careers.aspx?c=qT59VfwM&v=1&page=Jobs>
CLICK HERE TO APPLY <https://hire.jobvite.com/j?aj=o8sCZfwV&s=Met-jobs>
*Atmospheric Science Research Team Lead (Seattle)*
The Climate Corporation is looking for an experienced senior-level applied
scientist to build and manage our Atmospheric Science team. This team will
be a part of our Science team, which leverages big data and cloud computing
to tackle real-world problems in atmospheric sciences and their relation to
farm management and agricultural risk management. We work with
observational weather data, modeling output, agricultural data, remote
sensing data, and more. We are looking for a lead researcher with expertise
in one or more of the fields in our areas of active research.
*Active areas of research:*
- probabilistic weather and climate reconstruction and projection
- coupled land-surface / atmosphere models
- numerical weather prediction
- data assimilation
- mesoscale meteorology
- dynamical downscaling
- ensemble forecasting
*What you will do:*
- Build a team to deliver top quality weather and climate data to
internal groups and external products.
- Mentor and guide other team members on research endeavors.
- Communicate research results within the quantitative teams and to
engineering and product teams.
- Plan and execute short-term, small-team, applied atmospheric science
research projects, with the ultimate goal of releasing improved or novel
products.
- Engage in active research projects in a dynamic, fast-paced,
collaborative environment.
- Provide guidance in the development of high-quality, reproducible,
well-documented research code.
- Collaborate with engineers to produce reliable, production-scale
modeling systems.
*What you bring to the table:*
- Ph.D. in Atmospheric Sciences or related field with 10+ years of
experience in atmospheric science research and 5+ years of leading
cutting-edge applied research projects.
- Strong record of developing and delivering top-quality weather data
solutions for customers and/or a strong publication record demonstrating
the required applied expertise.
- Experience in mentorship and development of junior scientists.
- Experience with applied statistics.
- Experience with high performance computing.
- Drive to solve problems, meet deadlines, and build whatever is
necessary along the way.
- Excitement to learn new topics, develop new skills and use new tools.
- Communication and collaboration skills under pressure.
- Experience with software development is a plus.
- Experience implementing algorithms on big data is a plus.
- Experience working with physical model output is a plus.
*About Us: *
The Climate Corporation?s mission is to help all the world?s people and
businesses manage and adapt to climate change. To achieve our mission, we
have built a unique technology platform to enable, for the first time, the
real-time pricing and purchasing of customizable weather insurance.
Managing over 200 TB of data, including 34 trillion+ weather simulation
data points, 150 billion soil type observations, and more than 3 million
daily weather measurements, we are one of the largest users of Amazon Web
Services.
The Climate Corporation is focused on helping farmers protect and increase
their profits in the face of increasingly extreme weather. At the heart of
the company is our unique Climate Insights? technology platform, which
encompasses our core competencies across weather monitoring, agronomic
modeling, and weather simulation. This platform powers the company?s
portfolio of technology-based products and services, which are
revolutionizing agricultural risk management and farm management.
At The Climate Corporation, leaving a mark on the world is in our DNA; we
want to make a lasting and meaningful real-world impact. We relish big
problems because they are the most interesting to tackle, the most
rewarding, and typically, the most valuable to solve. We also thrive on
finding the possible in the impossible. If you are the best at what you do,
you like solving interesting problems, and you are looking for like-minded
people dedicated to having a major impact on the world, we are eager to
talk with you.
*See our video* <http://goo.gl/0hDv3> about what it?s like to work at The
Climate Corporation: <http://vimeo.com/63381109>*http://vimeo.com/63381109
<http://vimeo.com/63381109>*
*What We Offer:*
Our team is composed dozens top scientists and engineers. The environment
is extremely engaging and fast-paced, with a diverse set of top
agronomists, statisticians and engineers working together to provide the
best possible products and experiences for our customers.
We provide competitive salaries, excellent medical benefits, and some of
the best perks in the industry, including::
- Opportunities to explore personally compelling topics by occasionally
taking time to work on independent research projects.
- Lunch, dinner and a large assortment of snacks and drinks throughout
the day.
- Company sponsored outings, including go-kart races, curling, holiday
yacht parties, sporting events, etc.
- Participation in workshops and scientific conferences such as NIPS,
AGU and AMS. We collaborate with research facilities and academic
organizations. We also have an in-house seminar series given by both guest
lecturers and our own scientists.
- Field visits with agents and farmers to see first-hand how our
products are being used.
- Encouragement to explore new methodologies and collaborate throughout
the research process from brainstorming idea to pair-programming solutions.
Our research platform supports fast iterations and development allowing
research to make it quickly into production. We communicate our research
results with other scientists and stakeholders in the company.
- Unique opportunity to make a real world impact - we are solving
problems that have a massive impact on farmers lives and food security
- Superb medical, dental, vision, life, and disability benefits
- 401k matching program
- Gym membership discounts
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