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Today's Topics:
1. PhD Position at at Indiana University-Purdue University (USA)
(Roger Brugge)
2. Environmental Scientist (Air Quality Modelling) (Clare Heaviside)
3. IC3, Barcelona | Ocean Modeler at the Climate Forecasting
Unit (CFU) (Human Resources)
4. M.S. level Position at Argonne National Laboratory
(Roger Brugge)
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Message: 1
Date: Tue, 26 Aug 2014 19:04:31 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] PhD Position at at Indiana University-Purdue
University (USA)
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<B510E661B180DE459DF354D6B8026C1D3D870602@vime-mbx5.rdg.ac.uk>
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Forwarded from CLIMLIST...
The Paleoclimatology and Sedimentology Laboratory in the Department of
Earth Sciences (<http://earthsciences.iupui.edu/>) at Indiana
University-Purdue University, Indianapolis is currently seeking
applicants that wish to pursue a Ph.D. in paleoclimatology starting fall
2015. The PhD position is part of an NSF-funded research project
investigating Holocene Indian summer monsoon variability as recorded in
a series of lake sediment archives from the Tibetan Plateau. The
research includes extensive fieldwork in addition to a variety of
laboratory and analytical activities surrounding physical sedimentology,
organic geochemistry and isotope geochemistry. Familiarity with sediment
cores, physical sedimentology, isotope geochemistry, organic chemistry
and data analysis are desired, but not essential. Those with, or close
to completing, a M.Sc. are particularly encouraged to apply. Interested
candidates should send their C.V., a personal statement and transcripts
(copies are fine) as a single PDF file to Dr. Broxton Bird
(bwbird@iupui.ediu <mailto:bwbird@iupui.ediu>). Please contact Dr. Bird
directly with any inquiries about the position.
Best regards,
Broxton
--
*Broxton W. Bird*
Assistant Professor
Department of Earth Sciences
Indiana University-Purdue University, Indianapolis
723 W. Michigan Street, SL 118
Indianapolis, IN 46202
W: (317) 274-7468
F: (317) 274-7966
http://earthsciences.iupui.edu/people/broxton-bird
www.earthsciences.iupui.edu <http://www.earthsciences.iupui.edu>
**<http://bprc.osu.edu/%7Ebird.102/html/Site/Home%20Page.html>
------------------------------
Message: 2
Date: Wed, 27 Aug 2014 15:20:50 +0000
From: Clare Heaviside <Clare.Heaviside@phe.gov.uk>
Subject: [Met-jobs] Environmental Scientist (Air Quality Modelling)
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<9D475AAF38028F4A821DD8E699A03ECBD0411F10@MAILMBXCOL03.phe.gov.uk>
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Environmental Scientist (Air Quality Modelling)
Employer: Public Health England, Air Pollution and Climate Change, Harwell site, Oxfordshire.
Salary: ?35,425-?44,019
Fixed Term for 4 years
PHE's Centre for Radiation, Chemical and Environmental Hazards (CRCE) is looking for a self-motivated atmospheric and air quality modeller to contribute to a research programme on Environmental Change and Health. This research, funded by the National Institute of Health Research (NIHR), will be part of a collaboration of PHE with the University of Exeter, the London School of Hygiene and Tropical Medicine, the UK Met Office, and University College London.
The post holder will set up and run a mesoscale meteorological model (WRF: Weather Research Forecasting) at PHE, and then couple WRF to a chemical transport model (e.g. WRF-Chem, CMAQ) for the UK. The modelling system will then be used to investigate the intensity of the Urban Heat Island and the sensitivity of urban temperatures to land use type. In addition, the postholder will investigate the influence of local weather and emissions on air quality. The modelled output (temperature and air pollution) will be used to calculate health burdens in urban areas, particularly during heatwaves, and to investigate how these health burdens may change under a range of future conditions relating to variations in climate, land use or emission sources, with a view to publishing peer reviewed articles.
The successful candidate will have a PhD or equivalent in meteorology, climatology, physics, atmospheric chemistry, environmental science, mathematical modelling or similar. Relevant post-doctoral experience, preferably involving setting up, running or analysing output from atmospheric or air quality models is also desirable.
For further information or an informal discussion about the post, please contact either Dr Clare Heaviside (clare.heaviside@phe.gov.uk) or Dr Sotiris Vardoulakis sotiris.vardoulakis@phe.gov.uk)
For more details and to apply, go to:
http://tinyurl.com/o2ssqdh
**************************************************************************
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Message: 3
Date: Thu, 28 Aug 2014 10:14:39 +0200
From: Human Resources <jobs@ic3.cat>
Subject: [Met-jobs] IC3, Barcelona | Ocean Modeler at the Climate
Forecasting Unit (CFU)
To: met-jobs@lists.reading.ac.uk
Message-ID: <53FEE4EF.7090603@ic3.cat>
Content-Type: text/plain; charset=windows-1252; format=flowed
Post Doctoral position. Ocean modeler at the Climate Forecasting Unit (CFU).
LOCATION
IC3 Headquarters in Barcelona, Catalonia, Spain
GENERAL DESCRIPTION AND WORK ENVIRONMENT
The Institut Catal? de Ci?ncies del Clima (IC3) is a climate research
institute created in 2008 by the Government of Catalonia and the
University of Barcelona, aiming at understanding climate variability and
change both global and regional scales to improve both predictions and
projections, the dynamics and theory underlying those changes and the
impact on society. Linked to these goals, IC3 works on understanding and
simulating how global change modulates variability and change in society
ecosystems to provide better climate services.
IC3?s mandate is to become a leading international centre for climate
research in Europe, with a regional focus on the Mediterranean area. IC3
aims to perform quality research on basic and applied climate sciences,
while informing society and stakeholders on future climate risks.
Working languages are English, Catalan and Spanish.
In tune with IC3's objectives, a growing interest in the implications of
climate variability and change from a season to a few decades ahead is
occurring. Reliable climate information is critical to ensure that
adaptation measures to climate variability and change are efficient. The
Climate Forecasting Unit (CFU), led by the ICREA research professor F.J.
Doblas-Reyes, undertakes research on the development and assessment of
dynamical and statistical methods for the prediction of global and
regional climate on time scales ranging from one month to one decade.
More information about the CFU activities is available from the
following links: www.ic3.cat and http://ic3.cat/wikicfu/index.php/Main_Page
MAIN DUTIES
The successful applicant will work on the generation of ocean initial
conditions for seasonal-to-decadal ensemble climate predictions with the
dynamical global climate model used by the CFU, EC-Earth, using data
from a comprehensive set of high-resolution global reanalysis. The
generation of more balanced initial states that reduce or even prevent
the initial shock will be an important aspect of the work. The impact of
the initial conditions will be assessed with the tools already developed
by the CFU members and by implementing new ocean diagnostics to be
included in these tools. Process-based analyses of the main sources of
predictability related to the ocean component as well as new ways to
infer information on model deficiencies across time scales are part of
the tasks. The applicant will be involved in collaborative work with
other partners within the EC-Earth consortium. Outstanding opportunities
exist for establishing links with other international climate research
institutions and, if interested, to participate in the tutoring and
monitoring of early-career scientists.
DESIRED SKILLS / QUALIFICATIONS
Applicants must have a PhD in physical oceanography, applied mathematics
or in a related discipline. Ideal candidates will have several of the
following attributes:
- A demonstrated ability to develop experimental set ups that address
specific climate modeling problems and in manipulating either ocean or
climate model codes.
- Extended knowledge of Fortran and bash, while experience with R, cdo,
nco and Python will be highly valued.
- Experience in handling large databases, and a minimum knowledge of
NetCDF encoding.
- Proven ability to prepare and submit manuscripts to high-impact,
peer-review journals.
- Interest and capacity in participating in the writing in and, when
possible, leading the preparation of research and computing proposals.
- Fluency in spoken and written English, while fluency in other European
languages will be also valued.
This position implies becoming part of dynamic, multi-national research
group that performs cutting-edge, highly-demanding climate prediction
experiments. The candidate should be able to work as an active and
collaborative team member to help in the delivery of shared objectives
ant to efficiently communicate results. Hence, the ability to work as
part of a large, strongly-coordinated team and to continuously share
both knowledge and tools is an essential aspect required.
CONDITIONS AND APPLICATION PROCEDURES
The position is opened for 12 months with an extension for one more year
depending on performance. The position will start preferably in October
2014 or as soon as possible after that date. The salary will be
commensurate with experience.
To apply, please send and email to jobs@ic3.cat with your CV and the
following subject ?Ocean modeler at the CFU?.
------------------------------
Message: 4
Date: Thu, 28 Aug 2014 08:19:04 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] M.S. level Position at Argonne National Laboratory
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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Applications are invited for a pre-doctoral appointee position at the Argonne National Laboratory. The position is for 2 years initially, with a possible extension of one year based on performance. The position is expected to begin in October, 2014 and the review of the applications will begin immediately.
The project?s goal is to study the wind flow over complex terrain using data collected by boundary layer remote sensors. The candidate is expected to actively participate in the field campaign and assist in operating and analyzing data from instruments like the Radar Wind Profiler (RWP), Sodar and Doppler Lidar. We will then use advanced retrieval techniques to translate the observed engineering parameters into usable meteorological parameters.
The successful candidate will have a M.S. in atmospheric or related sciences, preferably with prior experience in data analysis of relevant observations. Candidates with a B.S. degree in atmospheric sciences or related field with two or more years of experience are also encouraged to apply.
Application for this opportunity must be submitted through the Argonne Careers website http://www.anl.gov/careers. Use Requisition Number 322479. Questions may be directed to Virendra Ghate at vghate@anl.gov
Virendra Prakash Ghate
Atmospheric Scientist
Division of Environmental Sciences,
Argonne National Laboratory,
9700 S. Cass Ave, Argonne IL 60439
------------------------------
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