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Today's Topics:
1. met-jobs: Research Associate in Submillimetre-Wave Polar
Atmospheric Science, University of Cambridge (Newnham, David A.)
2. Announcement: Ocean's Big Data Mining 2014 Summer School -
Data mining in large sets of complex oceanic data: new challenges
and solutions (Guillaume Maze)
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Message: 1
Date: Mon, 12 May 2014 13:06:08 +0100
From: "Newnham, David A." <dawn@bas.ac.uk>
Subject: [Met-jobs] met-jobs: Research Associate in Submillimetre-Wave
Polar Atmospheric Science, University of Cambridge
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Message-ID:
<4DC99887ECFBA1499899FACCDFF7F21A2392B641A9@nerckwmb1.ad.nerc.ac.uk>
Content-Type: text/plain; charset="utf-8"
Dear Sir,
Please could you post the following on met-jobs at the earliest opportunity?
Best regards,
David Newnham
Dr David Newnham
T +44 (0)1223 221480 F +44 (0)1223 221259 M 07717 065878 www.antarctica.ac.uk<http://www.antarctica.ac.uk/>
British Antarctic Survey - High Cross, Madingley Road - Cambridge CB3 0ET - United Kingdom
=========================================================================================================================================================
Research Associate in Submillimetre-Wave Polar Atmospheric Science, University of Cambridge
http://www.jobs.cam.ac.uk/job/3797/
The British Antarctic Survey (BAS), Cavendish Laboratory (CAV) and the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge have recently established a joint initiative called SPECTRO-ICE to assess how technology and observing techniques developed for millimetre and submillimetre-wave astronomy can be used to address key problems in observational Antarctic and Arctic atmospheric science. The three groups have the required expertise to carry out the work, but need a dynamic, creative individual to form a link between the institutions, to identify, list, and prioritise key scientific opportunities, and to carry out numerical atmospheric and instrument simulations.
Key activities include: Identify and prioritise major challenges in atmospheric polar science; particularly those relating to passive, radiometric remote sensing. Use simulated submillimetre-wave spectra to determine the observing capabilities needed to address the highest priority science goals. Create top level specifications for instruments that would be suitable for carrying out the key science programmes, and develop numerical instrument models to assess whether the requirements can be met. The post holder will be employed by the Department of Physics, but will spend equal amounts of time working in CAV and BAS, and make frequent visits to DAMTP.
Ideally the successful candidate will have experience in either atmospheric science, radiometric remote sensing, atmospheric gas spectroscopy, or submillimetre-wave instrumentation and experimental techniques. Candidates must have a PhD (or equivalent) in a relevant scientific discipline: chemistry, physics or engineering. Alternatively, candidates must be close to submitting a doctoral thesis.
Full details: http://www.jobs.cam.ac.uk/job/3797/
________________________________
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Message: 2
Date: Mon, 12 May 2014 14:08:34 +0200
From: Guillaume Maze <gmaze@ifremer.fr>
Subject: [Met-jobs] Announcement: Ocean's Big Data Mining 2014 Summer
School - Data mining in large sets of complex oceanic data: new
challenges and solutions
To: met-jobs@lists.reading.ac.uk
Message-ID:
<CAAHR4Eoz97upUmiwHRLKwmy7uCSLmzdiZQkJwp=kvO3t+L6iAg@mail.gmail.com>
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Dear colleagues,
This is an announcement for the Ocean?s Big Data Mining Summer School
(#OBIDAM14):
?Data mining in large sets of complex oceanic data: new challenges and
solutions,?
It will be held in Brest, France, from September 8th to 9th, 2014.
You will find more information in the short summary below and on the
school's web page, at
http://oceandatamining.sciencesconf.org.
Please write to oceandatamining@sciencesconf.org if you need further
information.
The registration deadline is June 15th, 2014.
We will be grateful if you could circulate this announcement to all
students, postdocs and researchers who may be interested in participating.
Best regards
Guillaume Maze
---------------------------------------------------------------------------
Ocean?s Big Data Mining 2014 Summer School:
?Data mining in large sets of complex oceanic data: new challenges and
solutions,?
Directors: Guillaume Maze (LPO/Ifremer), Herl? Mercier (LPO/CNRS), Philippe
Lenca (Telecom Bretagne), Ronan Fablet (Telecom Bretagne) and Jean-Francois
Pioll? (LOS/Ifremer).
This event is supported by Ifremer, Telecom Bretagne and Labex Mer.
Presentation of the course:
The extraction of knowledge on ocean?s dynamic at small and large scales as
well as the development of regional and global indicators of climate
variability are hot topics, for which new technological and methodological
challenges recently emerged. Database have grown bigger and bigger (from
the giga to the peta-scale) with rapid updating frequencies (from the
year/month to the day/hour scale), and involve complex structures and
higher dimensionality (from one file/parameter to millions of files and
dozens of parameters on multiple locations). To the physical oceanographic
community it has become challenging to manage, explore and extract
knowledge out of such databases. ?Data Mining?, ?Database Knowledge
Discovery? or ?Artificial Intelligence? are the names given to the research
discipline dedicated to face such challenges.
The school aims at fostering interactions between the ?Data Mining? and
?Oceanographic? research communities and for the latter to broaden its view
on available analysis tools.
The target group of the school are postdocs, PhD students and research
scientists, from all over Europe and beyond, from:
- the oceanographic community who wish to broaden their analysis skills of
oceanic databases (such as from Argo, Cersat and SSALTO/DUACS). They should
preferably be engaged in ocean physics studies, but work in a neighboring
field such as atmospheric physics/meteorology and bio- or geo-sciences may
also be considered.
- the data mining community seeking for new case studies and applications
in the domain of environmental sciences.
#OBIDAM14 consists of a series of invited talks covering both theoretical
and practical aspects of data mining tools and methods, including
applications to environmental science. It also provide the opportunity to
participants to present and discuss their research work during a dedicated
poster session.
Deadline for registration and abstract submission for the poster session:
June 15th, 2014
No registration fees.
For participants not residing in Brest, accommodations at the Vauban hotel
(1 night/1 breakfast) will be free of charge and funded by our sponsors.
You will find more information on the school's web page, at
http://oceandatamining.sciencesconf.org
Please write to oceandatamining@sciencesconf.org if you need further
information.
#OBIDAM14 program at a glance:
Monday, 8th:
+ "Opportunities and Challenges in Mining Earth System Data", Prof. Vipin
Kumar (Univ. of Minnesota)
+ "Statistical methods for detecting and attributing climate changes", Dr.
Philippe Naveau (LSCE)
+ "Introduction to data mining. Example of remote sensing image analysis",
Prof. Pierre Gan?arski (iCube)
+ Poster session and cocktail. To foster interactions between research
communities, you are invited to present and discuss your research work.
Tuesday, 9th:
+ "SVM and kernel machines: linear and non-linear classification", Prof.
St?phane Canu (INSA)
+ Practice sessions. Methods and algorithms introduced in the morning
lecture will be implemented and tested against real case scenario and
database. You can also bring in your own data and engage with the experts
to start using the new technics.
[image: Inline image 1]
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