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Today's Topics:
1. Met Office Software Engineer post (Roger Brugge)
2. PhD position at the University of Southampton ?Space-time
modelling of ocean chlorophyll? (Beaulieu C.)
3. Graduate fellowships in UNBC, Canada (Roger Brugge)
4. PostDoc in "Modelling of the climate impact of natural gas
flaring in the Arctic" (Victoria Sinclair)
5. Lightning detection R&D scientist post at the Met Office
(Roger Brugge)
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Message: 1
Date: Mon, 23 Jun 2014 12:29:55 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Met Office Software Engineer post
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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Background
The Data Assimilation and Ensembles (DAE) section of Weather Science undertakes research and development in observations processing, data assimilation and ensemble forecasting. The work of DAE is focussed on improving the quality of Met Office forecasts, especially of severe weather over the UK.
The complexity and scope of data assimilation algorithms within the Earth System Modelling (ESM) has grown rapidly within the last decade, expanding beyond the traditional atmospheric weather application to land surface, ocean, sea-ice, air quality, etc. Coupling of data assimilation approaches between ESM components also presents significant scientific and computational challenges. At the same time, the provision of operational probabilistic NWP products through the Met Office Global Regional Ensemble Prediction System (MOGREPS) has become a key component of many essential Met Office business requirements.
The advent of ensemble-variational data assimilation algorithms provides an even closer, two-way coupling between DA and probabilistic NWP algorithms. These two forms of coupling (between ESM components, and DA/ensembles) require a significant, coordinated approach to DAE scientific software system design, testing and maintenance and a visionary approach to prepare efficient software solutions as HPC technology evolves over the coming decade.
In January 2014, a new DAE Systems group was created within DAE section of Weather Science. The group brings together Met Office scientific software expertise from current atmospheric DA (VAR system), observation preprocessing/monitoring (OPS, ODB), and land surface DA (SURF) together with those working on MOGREPS software and coupled ESM DA/Ensembles. The group plays a key role within Weather Science by a) Maintaining DAE software, b) Transitioning DAE (and wider) science/software upgrades to operational implementation via the Met Office?s ?Parallel Suite? implementation process, and c) Representing DAE interests in the software design of next-generation ESM DAE algorithms.
This postholder will primarily focus on the latter aspect, playing a significant role in planning and implementing DAE strategy for next-generation DA algorithms over the coming decade. Working with DAE software engineers, scientists and the wider ?LFRIC? technical infrastructure development team, this post creates an exciting opportunity for a suitably qualified and visionary software engineer to take a lead role in implementing and transitioning DAE software solutions over the coming decade.
Full details can be found here:
https://iframe.recruitmentplatform.com/met_office/external/details.html?nPostingID=302&nPostingTargetID=571&option=52&sort=DESC&respnr=1&ID=Q5JFK026203F3VBQB79LO8NXG&Resultsperpage=10&lg=UK&mask=metext
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Message: 2
Date: Mon, 23 Jun 2014 13:54:18 +0000
From: "Beaulieu C." <C.Beaulieu@soton.ac.uk>
Subject: [Met-jobs] PhD position at the University of Southampton
?Space-time modelling of ocean chlorophyll?
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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Fully-funded PhD opportunity at the University of Southampton in ?Space-time modelling of ocean chlorophyll?.
Global climate change is predicted to alter the ocean?s biological productivity with profound implications for fisheries and climate. Long-term changes in phytoplankton abundance projected by mechanistic models project declining globally averaged phytoplankton abundance, but regionally these models sometimes diverge. Chlorophyll concentration, which is a widely measured indicator of phytoplankton abundance, is intensely monitored using many different platforms, for example, in-situ sensors, Earth observing satellites and shipboard measurements, thus potentially permitting the detection of long-term changes. Each monitoring platform provides data with differing spatio-temporal resolutions, coverage and uncertainty. For example, satellite data include spatially resolved snapshots at regular time intervals as available from the SeaWiFS, MODIS-Aqua and other missions, and so provide the most comprehensive information about the spatial distribution of chlorophyll. However, alone the satellite records cannot provide statistically robust estimates of long-term changes due to the shortness of the records (currently 16 years). Spatial surveys and time-series measurements of ocean chlorophyll are especially valuable for detecting temporal trends in phytoplankton abundance and to mechanistically understand their causes, but their sparseness either in time or space makes it difficult to quantify changes. The aim of this project is to take full advantage of all available data (satellite, time series, spatial surveys) by combining them in a statistical space-time model that will be used to infer spatial and temporal changes in ocean chlorophyll with their full associated uncertainty. Quantifying how the ocean?s biological productivity is changing will tackle a major scientific and societal question.
The successful candidate will be primarily based at the Graduate School of the National Oceanography Centre Southampton (http://www.southampton.ac.uk/oes/postgraduate/index.page?) and part of an interdisciplinary supervisory team including Dr. Claudie Beaulieu (Ocean and Earth Science, University of Southampton), Dr. Stephanie Henson (National Oceanography Centre Southampton) and Prof. Sujit Sahu (Department of Mathematical Sciences, University of Southampton). The successful candidate will also benefit from interactions with internationally recognised centre of excellence such as the Southampton Statistical Sciences Research Institute (http://www.southampton.ac.uk/s3ri) and the Southampton Marine and Maritime Institute (http://www.southampton.ac.uk/smmi/about/index.page?).
Upon start, applicants must have a completed master?s degree in a) oceanography (or any related science field) with good knowledge/experience with statistics or b) any numerical discipline (mathematics, statistics, physics). Literacy in programming languages such as R/Matlab is an asset. A good standard of written and spoken English is required. The duration of the project is 3 years with possibility to extend to 4 years depending on the successful candidate?s background and experience. The position is due to start in October 2014, with possibility to delay start until Spring 2015.
More details are available in the pdf attached. To apply for this position, please follow the guidelines here: http://noc.ac.uk/gsnocs/how-apply. Applications must be sent no later than July 14.
For further questions, please contact c.beaulieu@soton.ac.uk<mailto:c.beaulieu@soton.ac.uk>.
Dr Claudie Beaulieu
Ocean and Earth Science
University of Southampton
National Oceanography Centre
Southampton
European Way
Southampton
SO14 3ZH, UK
Email: C.Beaulieu@soton.ac.uk<mailto:C.Beaulieu@soton.ac.uk>
T: +44 (0) 2380 596412
F: +44 (0) 2380 593059
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Message: 3
Date: Mon, 23 Jun 2014 19:39:19 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Graduate fellowships in UNBC, Canada
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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Graduate student positions in UNBC, Canada
Two graduate student positions (at the Masters or PhD level) are available in the Climate Prediction and Oceanic Data Assimilation Laboratory (CPODA) at the University of Northern British Columbia. Funding support is available. The research fields include climate modeling, ensemble prediction, atmospheric/oceanic predictability,
oceanic data assimilation, using the state-of-the-art models and advanced applied mathematical/statistical methods. While the conducted research projects focus on practical climate prediction they also involve strong theoretical components. The researchers with training in these areas will be in high demand in the job market.
The students with interests and experiences/backgrounds in meteorology, physical oceanography, physics, statistics, applied math and other related areas are welcome to apply. The interested applicants please visit
UNBC Graduate Study website for formal application (http://www.unbc.ca/graduateprograms/index.html), and also
send by e-mail your CV or resume, including a copy of your recent transcripts to Dr. Youmin Tang (ytang@unbc.ca).
Dr. Youmin Tang, Professor
Canada Research Chair
Environmental Science and Engineering
3333 University way, Prince George,
University of Northern British Columbia
Canada, V2N 4Z9
Fax: 250-960-5845
http://web.unbc.ca/~ytang
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Message: 4
Date: Tue, 24 Jun 2014 10:58:40 +0300
From: Victoria Sinclair <Victoria.Sinclair@helsinki.fi>
Subject: [Met-jobs] PostDoc in "Modelling of the climate impact of
natural gas flaring in the Arctic"
To: met-jobs@lists.reading.ac.uk
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<20140624105840.Horde.CdCXXwV1lQoThNay0KpLlA9@webmail.helsinki.fi>
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Please can you advertise this postdoctoral position on "Modelling of
the climate impact of natural gas flaring in the Arctic". More details
are available in the attached pdf or from the website
https://www.atm.helsinki.fi/craicc/index.php/open-positions
Summary of the position:
The main objective is to understand the cause of the increase of black
carbon in the last decades in Svalbard Areas. For that purpose, we
will use a detailed atmospheric model (WRF-CHEM or SILAM) to better
characterise the nature and the origin of air masses that are
transported towards the Svalbard archipelago where we have been
measuring the past and recent BC content from an ice core and snow
samples.
Application deadline: 1 August 2014
Start: 1. September 2014
Duration: 12 months
Working institute: Dept. of Physics, University of Helsinki, Finland
--
Dr Victoria Sinclair
University Researcher
University of Helsinki
Email: Victoria.Sinclair@helsinki.fi
Mob: +358-(0)50-3185488
Web: http://www.mv.helsinki.fi/home/vsinclai/
------------------------------
Message: 5
Date: Tue, 24 Jun 2014 09:53:47 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Lightning detection R&D scientist post at the Met
Office
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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We are currently recruiting a scientist to carry out research and
development on the central processing side of our the lightning
detection/location system.
I was wondering if you could please help me advertise this post and past
it on to your contacts if you think they might be interested.
http://careers.metoffice.gov.uk/lumesse/view_job.php?https://iframe.recruitmentplatform.com/met_office/external/details.html&nPostingId=304&nPostingTargetId=578&id=Q5JFK026203F3VBQB79LO8NXG&lg=UK
Dr Jacqueline Sugier, Team Leader, Remote Sensing Systems R&D
Met Office FitzRoy Road Exeter Devon EX1 3PB UK
------------------------------
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