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Today's Topics:
1. Postdoctoral Research Assistant (4 Posts), Reading (Roger Brugge)
2. Summer school on Data Assimilation and it applications
(Roger Brugge)
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Message: 1
Date: Sun, 8 Jan 2017 13:22:31 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.rdg.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Postdoctoral Research Assistant (4 Posts), Reading
Message-ID:
<B510E661B180DE459DF354D6B8026C1D01264DB526@vime-mbx6.rdg.ac.uk>
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Postdoctoral Research Assistant (4 Posts)
Job Reference : SRF15063
Location : Whiteknights Reading UK
Closing Date : 15/01/2017
Live Date : 12/12/2016
Salary : £29,301 to £32,004 per annum
Employment Type : AR-Research
School / Function : School of Mathematical Physical and Computational Sciences
Department : Meteorology
Hours Per week : 1.00 FTE
Contract Duration : Fixed term - 3 years with possible extension
These 4 posts form the core group of scientists in the CUNDA project, together with PI Van Leeuwen. CUNDA (Causal relations Using Nonlinear Data Assimilation) is a 2.6M€ Advanced Investigator project funded by the European Research Council ERC. The team will investigate and develop new methods to infer cause-and-effect (causality) relations, first in low-dimensional systems but pushing to high-dimensional highly nonlinear geophysical systems, in a quantitative Bayesian framework. At the same time efficient fully nonlinear data-assimilation methods for such high dimensional systems need to be developed. These two strands come together by applying the causality inference to a state-of-the-art ocean model in which 25 years of satellite and in-situ observations have been assimilated. The ocean area of interest is the ocean around South Africa, where the Indian, Atlantic, and Southern Ocean meet in a highly turbulent way. We will address some of the major questions in oceanography on the coupling between the wind-driven and thermohaline circulation, and explore causality to understand the highly nonlinear interactions in this area. The projects needs highly motivated excellent researchers with expertise in one or more of the diverse areas of causality, nonlinear data assimilation, physical oceanography and numerical modelling. A part-time programmer will also be part of the project.
For more details see https://jobs.reading.ac.uk//displayjob.aspx?jobid=311
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Message: 2
Date: Sun, 8 Jan 2017 13:33:06 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.rdg.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Summer school on Data Assimilation and it
applications
Message-ID:
<B510E661B180DE459DF354D6B8026C1D01264DB572@vime-mbx6.rdg.ac.uk>
Content-Type: text/plain; charset="windows-1252"
The fifth Summer School on Data Assimilation and its applications
Oceanography, Atmospheric Sciences, Risk & Safety and Reservoir Engineering
17 -28 July 2017, Sibiu, Romania. Attached you can find the first announcement
with more details available on this website: www.data-assimilation.com
The goal is to get together experts in the field of data assimilation from
different schools (statistics, system and control, pure mathematics, engineering,... )
and to make use of their knowledge by
• Educating graduate students, young and senior researchers
• Knowledge transfer from the best lecturers to the students
• Exposing these new theoretical/algorithmic approaches and their applications
to the Romanian academia and researchers
• Having extensive discussions and exchanging ideas
• Working hands-on with academia and commercial dedicated software.
This summer school targets primarily students and researchers at an early
stage of their career with/without previous experience in data assimilation.
Please see the attachment for further details.
The 500 Euros costs covers 2 weeks of courses, breakfast and lunches for the whole period,
the weekend cultural activity (2 days one night with accommodation and food and transport)
and also the official dinner of the summer school.
Please send me an email if you are interested in participating to this event:
rhane@statoil.com
Regards
Remus Hanea
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