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Today's Topics:
1. Verification scientific software engineer (Mittermaier, Marion)
2. Phd scholarships in Climate Dynamics in Melbourne, Australia
(Dietmar Dommenget)
3. Open Oceanographic Modeller Position at MetOcean Solutions.
(Thea Eytan)
4. PhD Grants at the University of Lisbon (Portugal) (Roger Brugge)
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Message: 1
Date: Wed, 10 Sep 2014 10:42:49 +0000
From: "Mittermaier, Marion" <marion.mittermaier@metoffice.gov.uk>
Subject: [Met-jobs] Verification scientific software engineer
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Cc: "Gill, Philip" <philip.gill@metoffice.gov.uk>
Message-ID:
<732A6844CFDC3E45B9433D5591394FC90EA07673@EXXCMPD1DAG4.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="iso-8859-1"
Please could you advertise? Closing date September 15th.
======================================================================================================================
Note the Met Office has an application form evidence-based recruitment process. CVs are supplementary/optional and will not be considered as the primary source of evidence.
To apply for the job follow the links from: http://careers.metoffice.gov.uk/current-vacancies
======================================================================================================================
Verification scientific software engineer
?21,675 and for exceptional candidates up to ?35,040
The Met Office is a world-leading weather and climate service and we're continuously developing innovative ways to enhance and optimise our capabilities. Technology and science go hand-in-hand to drive our success. Your technical skills can help us develop the cutting edge models and systems that will deliver reliable and timely weather and climate information to our customers. This is a fantastic opportunity to join a world-class organisation and contribute to developing and improving the software that supports the science behind everything we do.
Your skills and experience will determine the level at which you join us. You will have a degree in a subject where you have built up strong programming skills. Alongside experience of developing and maintaining software, you understand complex software applications.
You have experience of developing or maintaining codes in Python, Fortran, C /C++ or SQL ideally in a scientific context, and you have scripting experience in Python, Perl or Unix shell. Some high performance computing experience is desirable but not essential.
You are confident working and developing on Linux or UNIX systems. You're able, or can show the potential, to provide technical leadership, influence other teams and communicate effectively with scientists.
The role
Joining our Operational Verification team, you'll design, develop, support and maintain the systems used to generate vital verification statistics, which are increasingly important in helping us further improve the accuracy of our weather forecasts.
We're looking for a Scientific Software Engineer to join us at one of three levels, depending on experience: Foundation Scientific Software Engineer, Scientific Software Engineer and Senior Scientific Software Engineer. Whichever level you join us at, you'll ensure our scientists can accurately verify the data generated using various observation types. Understanding their requirements will be fundamental to your role as you'll inform the definition and delivery of forecast verification to best suit their needs. Day-to-day, you'll monitor verification systems and evaluate their performance, but the majority of your time will be spent on new system development using languages, such as Python, Fortran and SQL. With a varied and diverse workload, you'll multitask between maintaining and developing several projects concurrently, while resolving users' issues. You will also be responsible for our Oracle database, which holds verification data, and you'll act as a link between the database administrators and scientists, monitoring its usage and ensuring it remains suitable for users' needs.
Collaboration will be key to your success. You'll work with teams around the Met Office and will act as a key point of support for your internal customers accessing verification programmes and databases, liaising with colleagues at all levels.
Essential Qualifications, Skills & Abilities
Foundation Scientific Software Engineer
1. Evidence of developing and maintaining software, showing an aptitude to understand complex applications and to learn to adapt them.
2. Evidence of developing or maintaining software in Python, FORTRAN (or C/C++) or SQL.
3. Experience developing on Unix or Linux systems.
4. Demonstrated ability to work on technical tasks with supervision.
5. Demonstrated ability to work well within a team and to communicate effectively with technical and scientific colleagues.
Scientific Software Engineer
1. Demonstrated experience of developing and maintaining complex software systems and showing an aptitude to understand and adapt existing applications.
2. Demonstrable experience of developing or maintaining complex scientific codes in Python and an understanding of FORTRAN (or C/C++) or SQL.
3. Demonstrable experience developing code for Unix or Linux platforms.
4. Demonstrated ability to work on complex technical tasks with general supervision and the ability to use discretion in identifying and solving complex problems.
5. Demonstrated ability to work well within a team and to communicate effectively with technical and scientific colleagues.
Senior Scientific Software Engineer
1. Significant experience of designing, developing or maintaining complex software systems to the level of expert with the ability to mentor others.
2. Demonstrated advanced expertise in Python and a good understanding of FORTRAN (or C/C++) or SQL in a Unix or Linux environment.
3. Evidence of strong working knowledge of configuration management software and of reviewing and managing code implementation, including evidence of influencing and inputting to process improvement.
4. Demonstrated ability to work on complex technical tasks with little supervision and to take ownership of problems or activities.
5. Demonstrated ability to provide technical leadership within a team and to influence other teams including technical and scientific colleagues.
For all levels
1. Degree or equivalent at level 2:1 or above in a physical science, mathematics or computing subject.
2. A broad understanding of relevant scientific areas required to allow the applicant to communicate effectively with scientists and to understand scientific requirements of technical work.
Desirable Qualifications, Skills & Abilities
1.Database skills, preferably Oracle based.
2.Experience helping colleagues with technical problems.
3.Scripting experience (Python, Perl or Unix shell)
--
Dr Marion Mittermaier Manager: Model diagnostics and novel verification
Met Office FitzRoy Road Exeter EX1 3PB United Kingdom
Tel: +44 (0)1392 884830 Fax: +44 (0)1392 885681
E-mail: marion.mittermaier@metoffice.gov.uk http://www.metoffice.gov.uk
http://www.metoffice.gov.uk/research/people/marion-mittermaier
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Message: 2
Date: Thu, 11 Sep 2014 09:21:49 +1000
From: Dietmar Dommenget <dietmar.dommenget@monash.edu>
Subject: [Met-jobs] Phd scholarships in Climate Dynamics in Melbourne,
Australia
To: met-jobs@lists.reading.ac.uk
Cc: Michael Reeder <michael.reeder@monash.edu>, Christian Jakob
<christian.jakob@monash.edu>
Message-ID: <8A250D3B-287B-4258-BE33-A3C284D4E738@monash.edu>
Content-Type: text/plain; charset="us-ascii"
Dear Met-jobs,
we are looking for students interested in fully funded PhD scholarships in climate dynamics research as part of the ARC Centre of Excellence in Climate System Science at Monash University in Melbourne, Australia. Details see flyer:
http://users.monash.edu.au/~dietmard/mwacs.flyer.phd.students.pdf
best regards
Dietmar Dommenget
Dietmar Dommenget
ARC Centre of Excellence for Climate System Science
School of Earth, Atmosphere and Environment
Monash University, VIC 3800
Australia
phone: +61-3-990-54495
email: dietmar.dommenget@monash.edu
www: users.monash.edu.au/~dietmard/index.html
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Message: 3
Date: Thu, 11 Sep 2014 10:01:38 +1200
From: Thea Eytan <t.eytan@metocean.co.nz>
Subject: [Met-jobs] Open Oceanographic Modeller Position at MetOcean
Solutions.
To: met-jobs@lists.reading.ac.uk
Message-ID: <a2ccbb7fcc9f5a7fa75a89d1be68b560@mail.gmail.com>
Content-Type: text/plain; charset="utf-8"
MetOcean Solutions Ltd (MSL) is a science-based consultancy and forecast
supplier that provides specialist numerical modelling and analytical
solutions in the fields of meteorology and oceanography. Based in Raglan
(New Zealand), our international team works on world-wide projects and data
analysis. We passionately believe in applying the latest information
technologies to data services and remaining grounded in rigorous scientific
methods.
While the company is small-sized, it occupies several niche consultancy and
service roles and has a rapidly growing forecast and hindcast sector. We
are currently seeking a talented oceanographic modeller to join our
modeling team.
Employees of MSL enjoy an open-office, upbeat culture within a coastal
village environment on the North Island of New Zealand. Our company
atmosphere promotes a ?work hard - play hard?? attitude, supported by
flexible hours to ensure a healthy work-life balance is maintained for all.
We encourage our people to bring fresh ideas to the table, rise to any
challenge, and remain passionate about our products and the company
mission.
We are seeking a self-starter to work in our multi-disciplinary R&D
environment. Your role will be to develop and manage the running of
oceanographic models and dissemination of data from our forecast services
and hindcast systems. You will supported by other expert modellers and
developers in our team.
This is a fantastic opportunity to work in a growing environment with an
interesting and challenging mix of science and technology.
Qualifications: PhD or equivalent experience.
In order to apply you *must have* the following experience:
? Expert knowledge of WW3, and a strong understanding of at least
one of these: SWAN, WRF, ROMS.
? Analysing and critically assessing oceanographic model data
? Scientific code development in Python
? Working with and organising large geophysical datasets
? Working on a Linux platform
The following would be a benefit, but are not essential:
? Experience with Running long term model hindcasts
? Experience in an operational forecasting environment.
? Scientific code development in Fortran, C, C++
? Expertise with GIS and geospatial technologies
Our ideal candidate would demonstrate the following characteristics:
? Integrity and high standards
? Highly organised and logical approach to problem solving
? An ability to exercise discretion while working with confidential
information
? Enjoys being part of a team that moves quickly
- A quick learner with a ?can do? attitude
- An ability to prioritise tasks and manage projects in a timely fashion
*Please Note Before you apply:* This role is a full-time, but hours can be
flexible to suit your life style. Pay is based on skill and experience. The
job position is in our Raglan Office, New Zealand.
To apply for this position, please email your cover letter and CV to:
t.eytan@metocean.co.nz
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Message: 4
Date: Thu, 11 Sep 2014 01:32:56 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] PhD Grants at the University of Lisbon (Portugal)
To: "met-jobs@lists.rdg.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<B510E661B180DE459DF354D6B8026C1D3D875E3D@vime-mbx5.rdg.ac.uk>
Content-Type: text/plain; charset="iso-8859-1"
Forwarded from climlist...
Dear all
The PhD program EARTHSYSTEMS (Lisbon Doctoral school on Earth System
Sciences) offers 8 four-year grants to develop a PhD project at the
University of Lisbon, starting in January 2015. Details of the grants
and of the research projects may be found at
http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=47085 <http://www.eracareers.pt/opportunities/index.aspx?task=global&jobId=47085>
and at www.idl.ul.pt <http://www.idl.ul.pt>, under PhD Program
Please send this information to potential candidates.
______________________
Pedro M A Miranda
DEGGE e IDL (Instituto Dom Luiz, Laborat?rio Associado)
Faculdade de Ci?ncias da Universidade de Lisboa
Campo Grande, Edificio C8, 1749-016 Lisboa, Portugal
www.idl.ul.pt/pmiranda.htm <http://www.idl.ul.pt/pmiranda.htm>
P
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