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Today's Topics:
1. PhD: Investigating Isopycnal Pathways for Supplying Iron to
the Open Ocean (Palmer, Matthew R.)
2. PhD: Investigating turbulence on ocean oxygen variability
(Palmer, Matthew R.)
3. PhD: A CFD and observational approach to improved
measurements from ocean gliders (Palmer, Matthew R.)
4. Atmospheric Radiation Scientist: Met Office, Exeter, UK
(Morcrette, Cyril)
5. PhD positions in Atmospheric Physics and Chemistry at the
University of Bremen (GER) (Stephanie Drath)
6. Internship on mesoscale modelling of wind power
(Grégoire Leroy (3E))
7. Summer Placement opportunity at the Met Office UK
(Athanassiadou, Maria)
8. PhD studentship on GNSS water vapour data and climate
variability, at IGN, Paris, France (Olivier Bock)
----------------------------------------------------------------------
Message: 1
Date: Tue, 8 Nov 2016 12:14:31 +0000
From: "Palmer, Matthew R." <rolm@noc.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PhD: Investigating Isopycnal Pathways for
Supplying Iron to the Open Ocean
Message-ID: <95981BC9-2546-4590-B2B7-B3255F6C3564@noc.ac.uk>
Content-Type: text/plain; charset="utf-8"
PhD opportunity funded under UK NERC Doctoral Training Programme in Understanding the Earth, Atmosphere and Ocean
Investigating Isopycnal Pathways for Supplying Iron to the Open Ocean
https://www.liverpool.ac.uk/studentships-earth-atmosphere-ocean/studentships/ocean/investigatingisopycnalpathwaysforsupplyingirontotheopenocean.html
________________________________
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system.
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Message: 2
Date: Tue, 8 Nov 2016 12:13:13 +0000
From: "Palmer, Matthew R." <rolm@noc.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PhD: Investigating turbulence on ocean oxygen
variability
Message-ID: <685FE8D8-CFD3-4549-8529-4E8EFF8F2096@noc.ac.uk>
Content-Type: text/plain; charset="utf-8"
PhD opportunity funded under UK NERC Doctoral Training Programme in Understanding the Earth, Atmosphere and Ocean
Investigating the role of upper ocean fine structure and turbulence on the variability of ocean oxygen levels
https://www.liverpool.ac.uk/studentships-earth-atmosphere-ocean/studentships/ocean/investigatingtheroleofupperoceanfinestructureandturbulenceonthevaria.html
________________________________
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system.
________________________________
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Message: 3
Date: Tue, 8 Nov 2016 12:31:09 +0000
From: "Palmer, Matthew R." <rolm@noc.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PhD: A CFD and observational approach to improved
measurements from ocean gliders
Message-ID: <4DE28AF2-03A0-48E4-A7D8-3CC82BE57C68@noc.ac.uk>
Content-Type: text/plain; charset="utf-8"
PhD opportunity funded under the UK NERC/EPSRC Centre for Doctoral Training in the use of Smart and Autonomous Observing Systems.
CASE Partners Rockland Scientific provide additional funding and internship opportunities in Victoria, Canada
A coupled CFD and observational approach to improve measurements of ocean turbulence from gliders.
http://noc.ac.uk/gsnocs/project/coupled-cfd-observational-approach-improve-measurements-ocean-turbulence-from-glide-0
________________________________
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system.
________________________________
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Message: 4
Date: Tue, 8 Nov 2016 13:37:30 +0000
From: "Morcrette, Cyril" <cyril.morcrette@metoffice.gov.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Atmospheric Radiation Scientist: Met Office,
Exeter, UK
Message-ID:
<77CDA9D5D938A54EA8BCC355625E6A5D358B57B7@EXXCMPD1DAG1.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="us-ascii"
Atmospheric Radiation Scientist: Met Office, Exeter, UK
=======================================================
The interaction of solar and terrestrial radiation with clouds, gases, the surface and aerosols has a major influence on the Earth's atmosphere. The accurate representation of radiative transfer in numerical models is essential for improving the skill of weather forecasts and increasing the reliability of climate projections.
Job Purpose
The job-holder will work at the forefront of atmospheric science, carrying out research to develop an understanding of atmospheric radiative transfer and make significant and lasting improvements to the parametrizations used in the Met Office's climate and weather forecast model (the Unified Model). Developments in this field would be of interest to the wider scientific community, and as such, the job holder would have the opportunity to publish, attend conferences, and develop an international profile as a research scientist.
This post will be at either the "Foundation Scientist", "Scientist" or "Senior Scientist" level. The successful applicant will join the Atmospheric Processes and Parametrizations team (APP) which works on improving the representation of sub-grid-scale physical processes such as radiative transfer, convection, clouds, turbulence, microphysics, surface exchanges and flow over orography. The job holder will be part of a two-person team specialising in the radiation transfer parametrization scheme.
Job Responsibilities
--------------------
To carry out research and development to improve the representation of radiative transfer in the Unified Model.
To contribute to the presentation and publication of the work in order to maintain our scientific capability, integrity and transparency.
To provide technical advice to UM users on matters relating to the radiation scheme.
To develop skills relating to the maintenance and development of the model parametrizations
Essential Qualifications, Skills & Abilities
--------------------------------------------
* A good degree (2:1 or above, or equivalent) in mathematics or a physical science. At "Scientist" level: a PhD in physics, astronomy, mathematics or meteorology or equivalent research experience. At "Senior Scientist" level: significant post-doctoral experience in atmospheric radiative transfer.
* Evidence of a good scientific understanding of atmospheric radiative transfer.
* Evidence of ability to learn and apply new scientific techniques.
* Proven ability to plan and conduct scientific research, displaying initiative, independence, analytical skills and the drive to overcome obstacles.
* Evidence of the ability to develop and test software to address scientific questions.
* Evidence of the ability to work flexibly within a team to overcome issues and deliver a successful outcome.
* Evidence of good oral and written scientific communication skills (e.g. writing reports, giving presentations).
* Experience of a scientific computing environment, for example using Fortran, IDL/Python and UNIX/LINUX
Desirable Qualifications, Skills & Abilities
--------------------------------------------
* Experience with the Met Office Unified Model.
* Experience with an atmospheric radiative transfer code.
* Experience of developing and testing General Circulation Model parametrization schemes.
Additional Supplementary Information
This recruitment post is not offering UK Visa and Sponsorship and therefore requires all applicants to be eligible to work within the UK / EU without restriction. If you are a non-EU candidate you will be required to provide and attach all relevant eligibility documentation to your application at the time of applying
Please note this role closes on 27 November 2017
For more info, and to apply, please see:
http://careers.metoffice.gov.uk/current-vacancies
------------------------------
Message: 5
Date: Tue, 8 Nov 2016 14:53:03 +0100
From: Stephanie Drath <sdrath@iup.physik.uni-bremen.de>
To: met-jobs@lists.reading.ac.uk
Subject: [Met-jobs] PhD positions in Atmospheric Physics and Chemistry
at the University of Bremen (GER)
Message-ID:
<7b694207-0e1c-ecec-200f-5bc08e58f254@iup.physik.uni-bremen.de>
Content-Type: text/plain; charset="utf-8"; Format="flowed"
Dear all,
Please find enclosed three 3-year PhD positions at the Institute of
Environmental Physics, University of Bremen, Germany.
Best regards
Stephanie Drath
Universität Bremen
Institut für Umweltphysik
Otto-Hahn-Allee 1
D-28359 Bremen
Tel.: 0049 (0) 421 218 62101
Fax : 0049 (0) 421 218 62070
E-Mail: sdrath@iup.physik.uni-bremen.de
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Message: 6
Date: Tue, 8 Nov 2016 14:05:02 +0000
From: Grégoire Leroy (3E) <Gregoire.Leroy@3e.eu>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Internship on mesoscale modelling of wind power
Message-ID:
<AM5PR0802MB240184BC0A005ACD7E91CAFDD7A60@AM5PR0802MB2401.eurprd08.prod.outlook.com>
Content-Type: text/plain; charset="iso-8859-1"
Dear all,
3E has an open position for an internship on Mesoscale Modelling of Wind Power with the Weather Research & Forecasting (WRF) model.
See job description in the enclosed documents or on our website: http://jobs.3e.eu/en/vacature/20277/internship--mesoscale-modelling-of-wind-power/
Interested? Please apply on http://jobs.3e.eu/en/index.aspx or call our HR officer Isabelle Andreetta (+32 (0)2 229 28 94).
Best regards,
Grégoire Leroy
[<br/><a href="http://oi67.tinypic.com/fwrw4k.jpg" target="_blank">View Raw Image</a>]<http://www.3e.eu> Grégoire Leroy
R&D Meteorologist
Kalkkaai 6
Quai à la Chaux
B-1000 Brussels T +32 2 217 58 68
F +32 2 219 79 89
Invoicing details: 3E - Kalkkaai 6 Quai a la Chaux, 1000 Brussels - VAT: BE 0465 755 594
Electronic invoices to be sent to accounts.payable@3e.eu<https://webmail2010.3e.eu/owa/redir.aspx?REF=C4h2c-FbPSClI4FJpOFF4F7Pqwkr8HeUajzalr03PpOnLZGH6V3TCAFtYWlsdG86YWNjb3VudHMucGF5YWJsZUAzZS5ldQ..>
www.3E.eu<https://webmail2010.3e.eu/owa/redir.aspx?REF=mAnLUBZaZgCGk_zIQUGgz0t_N45bjMNUh3n_6n2O_9WnLZGH6V3TCAFodHRwOi8vd3d3LjNFLmV1>
SAVE PAPER: THINK TWICE BEFORE PRINTING!
This email is strictly confidential and intended solely for the use of the individual to whom it is addressed. Any views or opinions presented are solely those of the author and do not necessarily represent those of 3E. If you are not the intended recipient, be advised that you have received this email in error and that any use, dissemination, forwarding, printing or copying of this email is strictly prohibited.
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Message: 7
Date: Tue, 8 Nov 2016 14:48:31 +0000
From: "Athanassiadou, Maria" <maria.athanassiadou@metoffice.gov.uk>
To: "'Met-jobs@lists.reading.ac.uk'" <Met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Summer Placement opportunity at the Met Office UK
Message-ID:
<170D0E4DF4EFF8409C37BA3081E3D4723591A202@EXXCMPD1DAG1.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="utf-8"
MO-CM00268
The use of satellite surface data on improving source identification and modelling of crop diseases
The Met Office is part of a collaborative effort to develop a forecasting capability for wheat rust (a fungal disease attacking wheat crops), using the NAME atmospheric dispersion model. Airborne transmission, short reproduction cycles of the fungus and limited time windows for fungicide treatment can lead to large scale epidemics within only a few weeks. Because of the potential for rapid spread and also considerable yield losses, wheat rusts are one of the most devastating plant diseases. The source locations for the fungus are a vital element in forecasting the spread of the infection and are typically provided by local ground surveys. Suitable satellite observations will be analysed to assess the health of green vegetation and potentially provide a more wide-spread and timely indication of the extent of wheat rust fungus infection and thus enable improved forecasts.
The project offers a unique opportunity to the successful candidate to be exposed to and obtain experience at the forefront of R&D in the Met Office by combining satellite observations and dispersion modelling.
Closing Date 13/11/2016
For more information and how to apply: http://careers.metoffice.gov.uk/current-vacancies?url=https%3A%2F%2Fiframe.recruitmentplatform.com%2Fmet_office%2Fexternal%2Fdetails.html%3FnPostingId%3D1866%26nPostingTargetId%3D2801%26id%3DQ5JFK026203F3VBQB79LO8NXG%26lg%3DUK
****************************************************
Maria Athanassiadou
Senior Research Scientist Satellite Applications
Met Office FitzRoy Road Exeter Devon EX1 3PB UK
Tel: +44 (0)1392 884582
Fax: +44 (0)1392 885681
Email: maria.athanassiadou@metoffice.gov.uk<mailto:maria.athanassiadou@metoffice.gov.uk>
Web: http://www.metoffice.gov.uk/research/people/maria-athanassiadou
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Message: 8
Date: Tue, 8 Nov 2016 16:34:15 +0100
From: Olivier Bock <Olivier.Bock@latmos.ipsl.fr>
To: met-jobs@lists.reading.ac.uk
Subject: [Met-jobs] PhD studentship on GNSS water vapour data and
climate variability, at IGN, Paris, France
Message-ID: <da1753e3-d699-15d5-5019-125de3b2aa67@latmos.ipsl.fr>
Content-Type: text/plain; charset="utf-8"; Format="flowed"
PhD Studentship on:
*"Development of new homogenisation methods for atmospheric GNSS data.
Application to the study of climate variability."**
***
Supervisors:
Dr. Habil. Olivier BOCK (IGN)
Dr. Emilie LEBARBIER (AgroParisTech)
Hosting institution: IGN - LAREG, University Paris Diderot, 35 rue
Hélène Brion, 75013 Paris, France
Application deadline: November 30th, 2016.
Project description:
Long records of observational data are essential to climate research.
Space geodetic techniques such as GNSS (Global Navigation Satellite
Systems) provide observations of tropospheric delays and integrated
water vapour for more than 20 years. However, similar to every observing
system, the global GNSS data are affected by temporal inhomogeneities
due to changes in the instruments (sensors, processing software,
measurement practice, etc.) or in measurement conditions (relocations of
instrument, change in the electromagnetic environment of the antenna,
etc.). The inhomogeneities manifest usually as artificial shifts in the
time series which can lead to erroneous interpretation as a climate
signal. It is crucial to detect and correct the inhomogeneities in long
GNSS time series before they can be used faithfully to assess climate
change and variability. The detection of artificial shift in time series
is complex because not all instrumental changes are actually documented
in logsheets, some shifts are not due to instrumental changes but to
changes in measurement conditions, and the number of stations in
continuously increasing. As a consequence, only automatic statistical
homogenisation methods can be reasonably be used. New homogenisation
methods need to be developed to account for the statistical properties
of GNSS data.
The goals of this PhD are:
(1) to comprehensively characterize the GNSS tropospheric data (zenith
delays, gradients, and integrated water vapour) available for different
domains and periods (from regional to global); (2) model the data by
proper stochastic models and infer the optimal detection and estimation
procedures (e.g. using maximum likelihood) and implement rapid and exact
algorithms. Therefore, the methodology used by AgroParisTech for
molecular biology will be applied to develop new, innovative,
homogenisation methods for GNSS tropospheric data. The model and methods
will be tested on the basis of simulation benchmarks and compared to
more traditional approaches.
(3) Apply the algorithms on real GNSS data and use the homogenized data
to analyse the water vapour trends and variability and to validate
regional and global climate model simulations (e.g. CORDEX, CMIP5).
Collaborative framework:
This work will take place in a broad collaborative framework developed
in France between IGN and AgroParisTech and in Europe in the framework
of the COST Action ES1206 (GNSS4SWEC).
Contact for informal enquiries: Dr Olivier Bock (Olivier.Bock@ign.fr)
Eligibility:
Applicants for a studentship must have obtained, or be about to obtain,
a Master 2 degree or higher in mathematics, physics, or computer
sciences. Good skills are required in statistics and computer
programming. Good communication skills are essential too as the
candidate will join a collaborative project between several research
institutions in France and in Europe.
The three-year studentship is expected to start as soon as 1st December
2016. The monthly stipend is 1680 € during three years. The contract can
include an additional mission of teaching, dissemination of scientific
and technical information, valuation, or expertise. In that case the
monthly stipend is raised to 2020 €.
Application procedures:
Please send your application to Olivier.bock@ign.fr and
emilie.lebarbier@agroparistech.fr
The applications should clearly identify the title of the project and
include the following documents:
• CV (including any publications)
• Covering letter (outlining your academic interests, prior research
experience and reasons for wishing to undertake this project)
• Transcript (this should be an interim transcript if you are still
studying)
• Reference letter from Master study manager.
• References from recognized personalities in the scientific field
are welcome (the references can be emailed direct to Olivier.Bock@ign.fr)
After a first selection based on these documents, the admissible
candidates will be invited for an interview either on-site or remotely
(e.g. by Skype). The admission will be stated after the interview.
--
Dr. Olivier BOCK
IGN - LAREG
Université Paris Diderot
Bâtiment Larmarck B – pièce 387
35, rue Hélène Brion
Case courrier 7071
75013 Paris
Tél: +33 (0)157275329
Email: Olivier.Bock@ign.fr; Olivier.Bock@latmos.ipsl.fr
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