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. Met Office Job Vacancy - Attribution Scientist (Giblin, Laura)
----------------------------------------------------------------------
Message: 1
Date: Thu, 11 Sep 2014 15:10:52 +0000
From: "Giblin, Laura" <laura.giblin@metoffice.gov.uk>
Subject: [Met-jobs] Met Office Job Vacancy - Attribution Scientist
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Message-ID:
<4B50398019F0E84AA3A0AE07792183FD06EC1AA9@EXXCMPD1DAG3.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="iso-8859-1"
Hi
Please can you advertise the following for us?
Thanks
Laura
http://careers.metoffice.gov.uk/current-vacancies
Attribution Scientist
Location
Exeter HQ
Contract type
Temporary
Salary range
26010.00 - 35040.00 GBP per Year
Opening date
11-09-2014
Closing date
02-10-2014
[mologo.jpg]
Salary Information
?26,010 and for exceptional candidates up to ?35,040 + competitive benefits
Background
The Climate Monitoring and Attribution Group develops high quality historical datasets, uses them in observational and model-based studies of climate variations, and provides up-to-date climate information and monitoring. It delivers policy relevant research to a variety of customers including DECC/DEFRA under the HCCP, various European projects and to ESA. The iconic dataset of global temperatures HadCRUT4 is developed in the group. As well as developing global datasets, the group includes the National Climate Information Centre, that develops climate information for the UK and is funded largely by PWS.
The group is led by Peter Stott.
Within the Climate Monitoring and Attribution group, there is a team that conducts research on detection and attribution of climate change. This team is currently directly managed by Peter Stott. The team carries out research seeking to attribute observed changes over recent decades to anthropogenic and natural causes. The work of this team has led to many peer-reviewed papers and major inputs to the IPCC including to the AR5 report. A relatively new initiative taken on by this team is to develop attribution assessments of individual extreme events funded by HCCP and a European project, led by the Met Office, called EUCLEIA. This work contributes to a new sequence of annual reports published in the Bulletin of the American Meteorological Society. The development of an operational attribution system by the team is seen as an important component of climate services. In addition the group is now collaborating with China under the China Climate Science for Service Partnership with attribution being seen as one of the key areas for collaboration with a focus on attribution of changes in the East Asia region.
The team uses observational data, modelling data and statistical techniques, together with physical understanding, to generate attribution assessments. The team carries out modelling experiments using the latest Hadley Centre climate models and has pioneered the use of observational uncertainty information in attribution assessments, building on the work of other colleagues in the CMA group. The team collaborates with scientists from the UK, Europe (under the EUCLEIA project) and internationally through IDAG (International ad-hoc Detection and Attribution Group), ACE (Attribution of Climate-related Events) group, and CSSP.
The post holder will form part of a team of 4 or 5 scientists and will be part of the larger Climate Monitoring Attribution group which has 4 scientific managers in post and a complement of 28 scientists. The jobholder will be expected to perform novel research in the field of detection and attribution of climate change. They will also have opportunities to actively participate in a wide range of national and international research activities, such as CSSP and contribute to the ACE and IDAG groups.
Attribution science is likely to need to incorporate a greater amount of process understanding in future and therefore this post could provide an attractive option to a scientist with good physical understanding in addition to strong analytical skills and robust mathematical and statistical capabilities. It would suit somebody interested in carrying out quantitative studies of past climate changes and interpreting the implications for future projections.
Job Purpose
To deliver excellent scientific research in the field of climate change attribution, to actively collaborate with a wide range of national and international researchers and organisations and to deliver relevant and timely information to our customers.
Job Responsibilities
Contribute to the successful delivery of research contracts that have important UK and international significance.
To carry out research into detection and attribution of climate change including extreme climate-related events.
To present scientific research in peer-reviewed journals and at national and international scientific meetings and conferences.
To communicate the latest science on attribution to a wide range of interested stakeholders, including policy makers and the general public.
To look for and explore innovative uses of attribution science in the development of climate services.
Essential Qualifications, Skills & Abilities
1. A strong background (2.1 degree or better) in mathematics, physics or related discipline.
2. Demonstrated competence in postgraduate research in a mathematically based subject area.
For Senior Scientist : Significant postdoctoral research record.
3. Proven ability to develop and use complex numerical models and apply complex statistical techniques, including effective computer programming in FORTRAN, IDL, UNIX and/or Python.
4. Evidence of ability to communicate own work to academic and wider communities both orally and in writing.
For Senior Scientist :Demonstrated ability to communicate effectively to specialists and non-specialists and to be able to positively interact with them.
5. Evidence of ability to work innovatively and independently on scientific projects.
For Senior scientist: Evidence of ability to lead scientific project-work and enthusiasm to seek and develop new areas of research.
6. Evidence of ability to work effectively as part of a team and demonstration of strong positive inter-personal skills.
Desirable Qualifications, Skills & Abilities
1. Experience of attribution techniques or equivalent quantitative methodologies for analysing observational datasets.
2. Experience of climate modelling.
3. Experience of analysing large data sets using complex mathematical and statistical models.
Additional Supplementary Information
Opportunities for international and national travel and collaboration with a wide range of academic and government organisations.
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20140911/4e57f82d/attachment.html
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 11134 bytes
Desc: image001.jpg
Url : /archives/met-jobs/attachments/20140911/4e57f82d/attachment.jpg
------------------------------
_______________________________________________
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 536, Issue 4
****************************************
