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Today's Topics:
1. Chair of Adaptation Sub-committee (Rachel Capon)
2. Post-doctoral researcher position in ecosystem modelling at
LSCE (Frederic Chevallier)
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Message: 1
Date: Fri, 1 Jul 2016 14:17:18 +0000 (UTC)
From: Rachel Capon <email@rachelcapon.co.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Chair of Adaptation Sub-committee
Message-ID:
<547741715.586486.1467382638031.JavaMail.yahoo@mail.yahoo.com>
Content-Type: text/plain; charset="utf-8"
https://publicappointments.cabinetoffice.gov.uk/appointment/chairman-adaptation-sub-committee-board-member-committee-climate-change/
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Message: 2
Date: Fri, 1 Jul 2016 18:17:37 +0200
From: Frederic Chevallier <frederic.chevallier@lsce.ipsl.fr>
To: met-jobs@lists.reading.ac.uk
Subject: [Met-jobs] Post-doctoral researcher position in ecosystem
modelling at LSCE
Message-ID: <3c345862-82c6-ed4c-1268-1cb9b8717a19@lsce.ipsl.fr>
Content-Type: text/plain; charset="utf-8"; Format="flowed"
*Topic:*
The land-surface modeling group at the LSCE (www.lsce.ipsl.fr/) is
looking for a post-doctoral researcher or engineer interested in land
surface and ecosystem modeling. The position is available for a
fixed-term period of 2.5 years with a possible extension.
The scientific context is the quantification of CO2 and CH4 fluxes
exchanged between the terrestrial vegetation and the atmosphere and the
understanding of the underlying processes. Within the Copernicus
Atmosphere Monitoring Service (CAMS), recently launched by the European
Commission, the LSCE will directly contribute to the improvement of the
global greenhouse gas monitoring and forecasting system of the European
Center for Meteorological Weather Forecast (ECMWF). The main objective
is to develop global statistical models (such as neural networks or
model tree ensembles) for specific processes linked to CO2/CH4 fluxes,
to be inserted in the Compound Integrated Forecasting System (C-IFS) of
ECMWF. The first component is a statistical model to compute CH4
emissions from wetland and permafrost areas, trained with fluxes
estimated from a process-based land surface model (such as the ORCHIDEE
model) and forced with meteorological, topographic and productivity
variables (from C-IFS). The second component is a statistical model to
relate the Gross Primary Production (GPP) of the land surface model in
C-IFS to newly available Solar Induced Fluorescence data (SIF) measured
from space (such as GOSAT and GOME2 instruments). The candidate will
insert in a team of researchers with the primary objective to help
constructing these statistical models and to valorize them in
collaboration with ECMWF researchers. He/She will also use the global
land surface model ORCHIDEE (co-developed at LSCE), including recent
developments related to natural CH4 emissions and the simulation of
canopy level vegetation fluorescence. Specific tasks of the position
will be further adjusted following discussions between the applicant and
the principal investigators, while taking into account the experience of
the applicant. The activities will be located at LSCE (CEA, Orme des
Merisiers, Gif/Yvette, France) on the plateau of Saclay, approximately
25 km south-west of Paris, with some travel to England (ECMWF).
*Home institution:*
Laboratoire des Sciences du Climat et de l'Environnement (LSCE,
Orme-les-Merisiers, Gif-sur-Yvette). LSCE is a joint research unit of
Commissariat à L'Energie Atomique et des Energies Alternatives (CEA),
Centre National de la Recherche Scientifique (CNRS) and Université de
Versailles Saint Quentin-en-Yvelines (UVSQ). LSCE employs over 320
researchers covering 30 different nationalities. Their research mission
is to contribute to a better understanding of the interactions between
human activities in the Earth System, environment and climate dynamics
at different time scales. LSCE is a world-class institute and a thriving
nexus for climate change research.
*Qualifications required:*
We are seeking highly motivated candidates with a degree (Master or PhD)
in for example mathematics, physics, engineering, computer science,
meteorology or theoretical ecology. Candidates should have preferably
expertise in statistical or process-oriented modeling and strong desire
to develop code and integrate scientific knowledge into numerical
schemes. A broad interest in natural sciences and more specifically in
terrestrial ecology is essential.
*Required content of the application:*
Applications and inquiries should be sent to:
Philippe Peylin (peylin@lsce.ipsl.fr)
Frederic Chevallier (frederic.chevallier@lsce.ipsl.fr)
Applications should include (1) a curriculum vitae, (2) statement of
motivation and (3) names, addresses, phone numbers, and email addresses
of at least two references. The position is available from September 1st
and will remain open until filled with a review of applications and
interviews starting early July. Salary follows national directives and
is adjusted for work experience.
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End of Met-jobs Digest, Vol 630, Issue 7
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