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Today's Topics:
1. Post-doc position available in Oxford Physics (Peter Read)
2. Phd at Bristol: Desert dust and ancient oceans: Implications
for climate and atmospheric CO2 (D J Lunt)
3. 2 Post-Doc Positions at University of Oxford Environmental
Change Institute (Rachel James)
4. Statistical Modelling Analyst Position at the Pacific Climate
Impacts Consortium (Canada) (Roger Brugge)
5. PhD Studentships University of Vienna (Reinhold Steinacker)
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Message: 1
Date: Mon, 9 Sep 2013 14:59:43 +0100
From: Peter Read <p.read1@physics.ox.ac.uk>
Subject: [Met-jobs] Post-doc position available in Oxford Physics
To: <met-jobs@lists.reading.ac.uk>
Cc: Peter Read <p.read1@physics.ox.ac.uk>
Message-ID: <30BF50AD-E09A-4967-90F9-ADCEDDFF91A0@physics.ox.ac.uk>
Content-Type: text/plain; charset="us-ascii"
Please note that I currently have a post-doc position available for an experimental GFD project, motivated by some problems in climate science, to be filled as soon as feasible. This is funded for up to 3 years by the UK EPSRC, and would suit a reasonably newly qualified PhD, ideally with experimental experience. Further details can be found at https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.display_form and http://www.jobs.ac.uk/job/AHE858/postdoctoral-research-assistant/. I would be very grateful if you could draw this to the attention of any colleagues or students who may be interested in this opportunity. Further details can be obtained by contacting me at the address below.
Peter L Read
(Professor of Physics and Met Office Joint Chair, University of Oxford)
Postal Address:
Atmospheric, Oceanic & Planetary Physics,
Clarendon Laboratory, Parks Road,
Oxford, OX1 3PU, UK
Voice/fax/email
Tel:+44-(0)1865-272082
Fax:+44-(0)1865-272923
email:p.read1@physics.ox.ac.uk
http://www.atm.ox.ac.uk
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Message: 2
Date: Mon, 9 Sep 2013 12:27:37 -0600
From: D J Lunt <D.J.Lunt@bristol.ac.uk>
Subject: [Met-jobs] Phd at Bristol: Desert dust and ancient oceans:
Implications for climate and atmospheric CO2
To: met-jobs@lists.reading.ac.uk
Cc: F Monteiro <F.Monteiro@bristol.ac.uk>
Message-ID:
<CANjh7KdrTg9FJz+D5gzaWYjZYt3K1bO_VuSYrjShPQmEUnWFsA@mail.gmail.com>
Content-Type: text/plain; charset=ISO-8859-1
Hi all,
The School of Geographical Sciences at the University of Bristol, UK
currently has available the following fully funded NERC studentship
(with additional CASE contribution of ?1000 per year), starting
October 2013 (flexible):
"Desert dust and ancient oceans: Implications for climate and atmospheric CO2"
The PhD will involve using and developing climate and biogeochemical
models, to simulate and understand the impact of desert dust on the
ocean, millions of years in the past.
Desert dust is the main source of the iron which is required by living
organisms in the ocean. Insufficient supply of iron limits marine life
in large parts of the ocean and reduces the ability of the ocean to
regulate atmospheric CO2, and therefore our climate. While there is
relatively good knowledge of the role of desert dust in controlling
the modern ocean biological pump, it is still unclear what might
happen in a warming climate. Examining the past period of the
Cretaceous (145 to 65 million years ago) can help, because of its
relatively warm climate, which occurred as a result of high
atmospheric CO2 at that time.
This project comes with an augmented student stipend consisting of an
additional ?1000 per year provided by the project CASE partner.
For more information, see here:
<http://www.bris.ac.uk/geography/prospective-postgraduates/funded/documents/dl-fm-nerc.pdf>
For details of how to apply (deadline 30th September 2013), see here:
<http://www.bristol.ac.uk/prospectus/postgraduate/2013/apply.html>
For eligibility rules for NERC PhDs, see here:
<http://www.nerc.ac.uk/funding/available/postgrad/eligibility.asp>
Any questions, please do not hesitate to contact Dan Lunt,
d.j.lunt@bristol.ac.uk
or Fanny Monteiro, f.monteiro@bristol.ac.uk
cheers,
Dan Lunt
---------------------------------------------------------------
Dan Lunt Tel: +44 (0) 117 33 17483
School of Geographical Sciences
University of Bristol d.j.lunt@bristol.ac.uk
University Road http://www.bridge.bris.ac.uk
Bristol BS8 1SS
GEOSCIENTIFIC MODEL DEVELOPMENT - AN EGU JOURNAL FOR
DESCRIPTIONS OF MODELS OF THE EARTH SYSTEM
http://www.geoscientific-model-development.net
---------------------------------------------------------------
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Message: 3
Date: Mon, 9 Sep 2013 19:25:06 +0000
From: Rachel James <rachel.james@ouce.ox.ac.uk>
Subject: [Met-jobs] 2 Post-Doc Positions at University of Oxford
Environmental Change Institute
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<2B3575A3799D0740A3F91E6C0922D4220D4493@MBX06.ad.oak.ox.ac.uk>
Content-Type: text/plain; charset="us-ascii"
Dear all,
The Environmental Change Institute in the University of Oxford is seeking to appoint to Post-Doctoral researchers to work in the fields of:
Decision Analysis for Natural Hazards:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=109433
Climate Scenarios and Attribution for Natural Hazards Assessment:
https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=109434
The closing date for applications is 18 September 2013. Informal enquiries can be directed to Prof Jim Hall jim.hall@eci.ox.ac.uk<mailto:jim.hall@eci.ox.ac.uk>
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Message: 4
Date: Tue, 10 Sep 2013 08:42:41 +0000
From: "Roger Brugge" <r.brugge@reading.ac.uk>
Subject: [Met-jobs] Statistical Modelling Analyst Position at the
Pacific Climate Impacts Consortium (Canada)
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<B510E661B180DE459DF354D6B8026C1D3D6870F9@vime-mbx5.rdg.ac.uk>
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Forwarded from CLIMLIST...
PCIC is currently seeking to hire a Statistical Modelling Analyst. The
Statistical Modelling Analyst will analyse and model regional climate
data as part of a multi?disciplinary team consisting of PCIC
climatologists and research collaborators. The incumbent will provide
the primary support to quality check, analyse, model, and document near
surface temperature data from a dense station network in the Okanagan
basin, British Columbia.
This is a full-time, six month term commitment.
Application: Please send your application with a CV, including three
professional references. Address cover letter and application to Alex
Cannon, <climate@uvic.ca>, with ?ATTN: Statistical Modelling Analyst
Position? in the subject line. Please indicate whether you are legally
able to work in Canada.
Closing date: September 25th 2013.
Please visit <http://www.pacificclimate.org/about-pcic/careers> or see
below and attachment for more details.Job Posting: Statistical Modelling
Analyst
Closing Date: September 25th 2013
PCIC is seeking to hire a Statistical Modelling Analyst
Pacific Climate Impacts Consortium (PCIC)
The Pacific Climate Impacts Consortium (PCIC) was created to assess
climate impacts in the Pacific and Yukon Region of Canada. The goals of
the Consortium are to foster collaborative research, to strengthen the
capacity to address regional climate change and variability, and to
provide the scientific basis for development of policy. PCIC is a
regional climate service centre at the University of Victoria that
provides practical information on the physical impacts of climate
variability and change. Through collaboration with climate researchers
and regional stakeholders, PCIC produces knowledge and tools in support
of long-term planning. See http://www.PacificClimate.org for more
information.
Challenge
The Statistical Modelling Analyst will analyse and model regional
climate data as part of a multi?disciplinary team consisting of PCIC
climatologists and research collaborators. The incumbent will provide
the primary support to quality check, analyse, model, and document near
surface temperature data from a dense station network in the Okanagan
basin, British Columbia.
Nature of Work
The Statistical Modelling Analyst works under the supervision of the
Research Climatologist. The position will also receive strong scientific
and technical guidance from Agriculture and Agri-Food Canada (AAFC)
Research Scientists and staff at the Pacific Agri-Food Research Centre
in Summerland, British Columbia. This position is ideal for a recent
graduate interested in developing applied research and analytical skills
and working with regional scientists.
A prototype spatiotemporal statistical model identifying terrain and
weather controls on near surface temperatures in the Okanagan region
will be developed in the GNU R programming language. The model will
incorporate observational data from a network of inexpensive temperature
loggers provided by AAFC in Summerland, terrain layers provided by AAFC
in Summerland/ and meso-/synoptic-scale weather variables from numerical
weather prediction and reanalysis products. The goal is to assess the
accuracy and uncertainty of downscaled fine-scale gridded surface
temperatures for the Okanagan basin at sub-daily temporal resolution.
Accountabilities
? Assemble a digital archive of existing AAFC near surface temperature
data from a dense network of temperature sensors in the Okanagan basin,
British Columbia, including appropriate metadata and documentation.
? Perform and document data quality assessment and quality checking
(QA/QC) of the near surface temperature archive.
? Develop and validate a prototype spatiotemporal statistical model
identifying terrain and weather controls on data in the near surface
temperature archive. Potential to explore novel extensions of existing
methods to improve model performance.
? Support scientists with other analysis tasks.
? Produce a summary report describing the data processing, modeling and
validation steps.
Knowledge, Skills & Abilities
Knowledge and Experience
? Bachelor?s degree in a relevant field of study (such as statistics,
computer science, geosciences, environmental sciences, or engineering).
? Programming experience in GNU R.
? Experience with statistical modelling, model diagnostics, and model
validation. ?
? Experience with scientific data processing and analysis.
? Experience performing independent research an asset.
? Climatology or agricultural science background an asset.?
? Knowledge of the Okanagan basin an asset.
Skill
? Excellent computer and programming skills.
? Excellent written communication skills.
? GIS skills an asset
Ability
? Ability to manage time series and spatial data.
? Work with team members and co?workers effectively.
? Willing to be flexible with job duties.
Employment period
6 month term
Weekly working hours
Full time (37.5 hours per week)
Pay rate
$20.00/hour.
Additional information: Address enquiries to Alex Cannon at
<climate@uvic.ca>.
Application: Please send your application with a CV, including three
professional references.
Address cover letter and application to Alex Cannon, <climate@uvic.ca>,
with ?ATTN: Statistical Modelling Analyst Position? in the subject line.
Please indicate whether you are legally able to work in Canada.
Thank you.
Pacific Climate Impacts Consortium (PCIC)
University House 1 | PO Box 3060 STN CSC
University of Victoria | Victoria BC Canada V8W 3R4
Tel: 250.472.4682 | Fax: 250.721.7217 | http://www.PacificClimate.org
------------------------------
Message: 5
Date: Tue, 10 Sep 2013 11:14:38 +0200
From: "Reinhold Steinacker" <Reinhold.Steinacker@univie.ac.at>
Subject: [Met-jobs] PhD Studentships University of Vienna
To: <met-jobs@lists.reading.ac.uk>
Cc: Reinhold Steinacker <Reinhold.Steinacker@univie.ac.at>
Message-ID: <002401ceae06$2d204750$8760d5f0$@univie.ac.at>
Content-Type: text/plain; charset="us-ascii"
Two PhD-Studentships (Prae-Doc Assistants, 4 year contracts ) are available
at the Department of Meteorology and Geophysics of the University of Vienna,
Austria.
Please see:
http://jobcenter.univie.ac.at/en/applications/
Regards,
Reinhold Steinacker
**********************************
Dr. Reinhold Steinacker
Full Professor of Meteorology
University of Vienna
Department of Meteorology and Geophysics
Althanstrasse 14
1090 Vienna
Austria
Tel: 0043 (0)1 4277 53730
Secr: Ms Eveline Wabnig
Tel: 0043 (0)1 4277 53709
Fax: 0043 (0)1 4277 9537
**********************************
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