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. Job Vacancy - CSSP-China Global Model Evaluation &
Development Scientist, Met Office Exeter UK (Sean Milton)
2. Job Vacancy for Scientist on convection, large-scale dynamics
and global model improvement, Met Office, Exeter, UK (Sean Milton)
3. 2 permanent positions at Mercator Oc?an (Gilles Garric)
4. A Post Doc Position at ICARE-CNRS Orleans (France)
(Wahid Mellouki)
----------------------------------------------------------------------
Message: 1
Date: Tue, 16 Jun 2015 19:35:29 +0100
From: Sean Milton <sean.milton1@gmail.com>
Subject: [Met-jobs] Job Vacancy - CSSP-China Global Model Evaluation &
Development Scientist, Met Office Exeter UK
To: met-jobs@lists.reading.ac.uk
Cc: Sean Milton <sean.milton@metoffice.gov.uk>
Message-ID: <3CBD2F5B-FB44-4BF7-8642-CBDFFAE78797@gmail.com>
Content-Type: text/plain; charset="utf-8"
More Details and application process available from http://careers.metoffice.gov.uk/current-vacancies
Location Exeter HQ
Contract type Permanent
Salary range 26010.00 - 35040.00 GBP per Year
Opening date 09-06-2015
Closing date 23-06-2015
Salary Information
Scientist - ?26,010 - ?29,100
Senior Scientist ?30,529 - ?35,040
Background
The Climate Science for Service Partnership: China (CSSP China) is a scientific research programme - led in the UK by the Met Office - that will help build the basis for services to protect against climate variability and prepare for a changing climate. The Met Office is supported in this endeavour by the Newton Fund, which aims to develop science and innovation partnerships that promote the economic development and welfare of developing countries. The Met Office is a delivery partner on behalf of UK government for the Newton Fund.
This CSSP post sits within the Global Model Evaluation and Development team (GMED) in Foundation Science at the Met Office, which comprises four sub-teams totalling about 24 scientists. GMED is responsible for evaluation of global model performance across all timescales from weather to climate and the pull through of science developments into global model prediction systems for the benefit of weather and climate customers. The post will be working in CSSP work package 4 on ?Development of Models and Climate Projection systems? and specifically engaging in Global Climate Model Evaluation & Development activities in collaboration with partners in China.
Job Purpose
Global climate models of the coupled atmosphere, ocean, land and sea-ice systems are central to the delivery of climate services in China and other regions worldwide. These models continue to be subject to considerable uncertainties associated with the modelling of key physical and dynamical processes (e.g. clouds, convection, land surface characteristics, orographic forcing etc.). Identifying the potential sources of model systematic errors in physical processes and ultimately improving model formulation are at the heart of a climate programme to improve climate services. The broad aims of this post are to study the key model systematic errors that impact important modes of climate variability affecting East Asia and China on the 5-40 year timescale (e.g. teleconnections from the deep tropics towards the extra-tropics), assist in developing novel diagnostic techniques to elucidate these sources of systematic error growth, and interact closely with model development teams in the Met Office and China, and with UK academic partners involved in CSSP to ?pull through? robust improvements to the global climate models.
Job Responsibilities
In collaboartion with other CSSP work packages develop improved understanding of the drivers of East Asian regional Climate Variability and the current status of global model performance and key systematic errors in the Met Office Unified Model (MetUM) and in partner models in China.
Participate in the development of novel diagnostic techniques and their application to pin down possible sources of model errors affecting East Asia. These techniques could include:
Statistical and dynamical diagnostics of tropical to extra-tropical teleconnections (e.g. correlation maps, Rossby wave sources, wave activity fluxes).
Use of perturbed parameter ensembles (PPE), being developed as part of the climate projection system development in WP4, to study sensitivity of East Asian climate variability to parametrization uncertainty.
Seamless prediction capability - Use of short-range NWP model experiments (atmosphere and coupled) to study the initial growth of model errors (e.g. Rodwell and Palmer (2007); Martin et. al. (2010))
Process based evaluation of model processes against new observations (in-situ, satellite data)
Use of higher resolution (vertical & horizontal) climate models and convective resolving regional models to understand key processes.
Nudging - relaxing models to reanalysis in key regions of error growth (e.g. Tropics) and studying impacts on East Asia.
Engaging with model developers and contributing to evaluation of new versions of the Met Office global coupled climate model as they are developed (e.g. see Williams et. al. (2015)), with a focus on East Asia.
Essential Qualifications, Skills & Abilities
An honours degree (2:1 or above) in a physical science, mathematics or other related discipline.
Scientist & Senior Scientist : Ability to plan and carry out postgraduate level research and development in a related science discipline as demonstrated by publication record and to show initiative in resolving problems with limited supervision.
Senior Scientist: Evidence of leading and delivering complex scientific research and development , taking ownership and initiative in resolving problems.
Knowledge of the Unified Model or similar global model, its dynamics and parametrizations and experience in running large scale models on HPC platforms.
Scientist & senior Scientist :Good general computing skills (Fortran, Unix, IDL/Iris or similar), with proven expertise in handling and analysing large datasets.
Senior Scientist : Strong evidence of developing and testing complex software for scientific application
Ability to work effectively both as an independent scientist but also as part of a larger team involving colleagues at the Met Office, China, or in UK Academia.
Good communication skills - demonstrated ability to present scientific research at conferences etc. and lead/contribute to peer reviewed scientific papers.
Desirable Qualifications, Skills & Abilities
A PhD in a geophysical science.
Knowledge of advanced statistical and climate diagnostic techniques (e.g. Von Storch and Zwiers (1999)).
Experience in coding diagnostics using Python and/or the Iris framework.
Additional Supplementary Information
**References**
Martin, G M, S F Milton, C A Senior, M E Brooks, S Ineson, T Reichler, and J Kim (2010): "Analysis and Reduction of Systematic Errors Through a Seamless Approach to Modeling Weather and Climate." Journal of Climate 23, no. 22 : doi:10.1175/2010JCLI3541.1. http://journals.ametsoc.org/doi/abs/10.1175/2010JCLI3541.1.
Rodwell, M J, and T N Palmer (2007): "Using Numerical Weather Prediction to Assess Climate Models." Q J R Meteorol Soc 133, no. 622 : doi:10.1002/qj.23. http://doi.wiley.com/10.1002/qj.23.
von Storch, H. and Zwiers, F. (1999): Statistical analysis in climate research. Cambridge University Press.
Williams, K. D., C. M. Harris, A. Bodas-Salcedo, J. Camp, R. E. Comer, D. Copsey, D. Fereday, and others. "The Met Office Global Coupled Model 2.0 (GC2) Configuration." Geosci. Model Dev. Discuss. 8, no. 1 (2015): 521-565.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150616/d3cfcd4d/attachment.html
------------------------------
Message: 2
Date: Wed, 17 Jun 2015 06:49:08 +0100
From: Sean Milton <sean.milton1@gmail.com>
Subject: [Met-jobs] Job Vacancy for Scientist on convection,
large-scale dynamics and global model improvement, Met Office, Exeter,
UK
To: met-jobs@lists.reading.ac.uk
Cc: Sean Milton <sean.milton@metoffice.gov.uk>
Message-ID: <C05F3B63-B459-42E3-A2FE-50C2AB3D377C@gmail.com>
Content-Type: text/plain; charset="utf-8"
More Details and application process available from http://careers.metoffice.gov.uk/current-vacancies <http://careers.metoffice.gov.uk/current-vacancies>
Location Exeter HQ
Contract type Permanent
Salary range 26010.00 - 35040.00 GBP per Year
Opening date 08-06-2015
Closing date 22-06-2015
Salary Information
Scientist - ?26,010 - ?29,100
Senior Scientist ?30,529 - ?35,040
Background
The IMPALA project aims to deliver improvements to the modelling of weather and climate over Africa, working jointly with members of the academic community, and is funded by the Department for International Development (DfID). This position will be based in the Global Model Evaluation and Development team and work very closely with the Atmospheric Processes and Parametrizations team (APP), combining two related aspects, (i) research on the interactions of convection with the large-scale dynamics of the atmosphere, and (ii) process based evaluation of improvements to global model predictions across a range of timescales assessing benefit over Africa.
Convection has a major influence on the atmosphere, and its accurate representation in models has wide-reaching implications, from improving the predictability of NWP to increasing the reliability of climate projections. One long-standing research question has been to understand how convective clouds interact with larger-scale atmospheric motions that can span continents, and consequently significantly affect the rainfall behaviour over large regions. Recent developments in observational and modelling tools present an exciting opportunity for making significant progress in this field, with consequences for the representation of convection in models both over Africa and globally.
Integrating the above advances in convection along with other improvements is a key objective for the IMPALA project. This involves trialling and evaluating the impacts of revised parametrizations (convection, aerosols etc.) with the specific aim of understanding physical process interactions and assessing impacts on precipitation and large-scale dynamics over the African continent using knowledge gained from the first activity.
Job Purpose
To develop our understanding of the physics and dynamics controlling the interaction between convection and larger-scale atmospheric motions (African Easterly Waves, African Easterly Jet, Mesoscale Convective Systems (MCS)) and use that insight to contribute to improving the parametrizations used in the UM to perform weather forecasts and climate predictions. Secondly, to pull through and evaluate the improvements to the Unified Model across a range of prediction timescales as part of the model development process. Developments in this field would be of interest to the wider scientific community, and as such, the job holder would have the opportunity to publish in scientific journals, attend conferences, and develop an international profile as an atmospheric scientist.
Job Responsibilities
To carry out research and development to improve the representation of the convection-dynamical coupling in the Unified Model with a focus on African climate.
Integrate advances in model formulation by evaluating potential parametrization changes (convection, aerosols) across seamless prediction systems as part of model development process.
To contribute to the presentation and publication of the work both internally and externally in order to maintain our scientific capability, integrity and transparency.
Essential Qualifications, Skills & Abilities
An honours degree (2:1 or above) in a physical science, mathematics or other related discipline.
Scientist & Senior Scientist :Ability to carry out postgraduate level research and development in a related science discipline as demonstrated by a publication record and to show initiative in resolving problems with limited supervision.
Senior Scientist Evidence of leading and delivering complex scientific research and development , taking ownership and initiative in resolving problems.
Knowledge of the Unified Model or similar global model, its dynamics and parametrizations and experience in running large scale models on HPC platforms.
Scientist and Senior scientist:Good general computing skills (Fortran, Unix, python/Iris or similar), with proven expertise in handling and analysing large datasets.
Senior scientist : strong evidence of developing and testing complex software for scientific application.
Ability to work effectively both as an independent scientist but also as part of a larger team involving colleagues at the Met Office, DfID, or in UK Academia.
Scientist and Senior Scientist :Good communication skills - demonstrated ability to present scientific research at conferences etc. and lead/contribute to peer reviewed scientific papers.
Senior Scientist:Evidence of ability to communicate effectively ( oral and written) with specialists and non specialists in a clear manner with influence and authority.
Desirable Qualifications, Skills & Abilities
A PhD in a geophysical science.
Knowledge of African climate variability and processes.
Knowledge of convection and its parametrisation in global weather and climate models.
Experience in coding diagnostics using Python and/or the Iris framework.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150617/1c7afb34/attachment.html
------------------------------
Message: 3
Date: Wed, 17 Jun 2015 09:36:24 +0200
From: Gilles Garric <gilles.garric@mercator-ocean.fr>
Subject: [Met-jobs] 2 permanent positions at Mercator Oc?an
To: met-jobs@lists.reading.ac.uk, "P. Y. Le Traon"
<pierre-yves.letraon@mercator-ocean.fr>
Message-ID: <55812378.7050103@mercator-ocean.fr>
Content-Type: text/plain; charset="iso-8859-1"
For your information, Mercator Ocean is seeking two permanent positions :
* _*Oceanographer specialised in ocean climate monitoring (H/F)*_ -
Ref 2015-09/DS/OSC
* _*Project Scientist (H/F)*_ - Ref No: 2015-11/DS/OSC
Please find the details on the Mercator Ocean website
*http://www.mercator-ocean.fr/eng/mercator_ocean/nous-rejoindre*.
To apply or find out more information please contact
*recruitment@mercator-ocean.fr* directly.
Deadline to apply : *15th of July 2015*.
Pierre Yves Le Traon.
Directeur Scientifique / Scientific Director
--
Signature
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150617/5c72c901/attachment.html
------------------------------
Message: 4
Date: Wed, 17 Jun 2015 10:31:25 +0200
From: Wahid Mellouki <wahid.mellouki@cnrs-orleans.fr>
Subject: [Met-jobs] A Post Doc Position at ICARE-CNRS Orleans (France)
To: met-jobs@lists.reading.ac.uk
Message-ID: <5581305D.4070101@cnrs-orleans.fr>
Content-Type: text/plain; charset="utf-8"
Dear colleagues,
A postdoctoral position is available at ICARE-CNRS (Orleans-France).
The objective of the project is to conduct research on the atmospheric
secondary organic aerosol (SOA).
Please feel free to circulate this announcement and contact Dr Mellouki
(mellouki@cnrs-orleans.fr) if interested
Best regards,
Wahid Mellouki
-------------- next part --------------
A non-text attachment was scrubbed...
Name: Post-Doc position ICARE 2015.pdf
Type: application/pdf
Size: 66451 bytes
Desc: not available
Url : /archives/met-jobs/attachments/20150617/154a453e/attachment.pdf
------------------------------
_______________________________________________
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 576, Issue 3
****************************************
