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Today's Topics:
1. PhD Position at the German Aerospace Center, DLR,
Oberpfaffenhofen (Meerkoetter, Ralf)
2. Data assimilation research positions available in Japan at
RIKEN Advanced Institute for Computational Science (Takemasa Miyoshi)
----------------------------------------------------------------------
Message: 1
Date: Thu, 27 Sep 2012 13:52:04 +0200
From: "Meerkoetter, Ralf" <ralf.meerkoetter@dlr.de>
Subject: [Met-jobs] PhD Position at the German Aerospace Center, DLR,
Oberpfaffenhofen
To: <met-jobs@lists.reading.ac.uk>
Message-ID: <50643DE4.1070407@dlr.de>
Content-Type: text/plain; charset="ISO-8859-1"; format=flowed
The Institute of Atmospheric Physics of the German Aerospace Center,
DLR, Oberpaffenhofen, Germany, invites applications to an open 3 years
PhD position with the theme:
The life cycle of cirrus clouds from measurements of the satellites
Meteosat and EarthCARE
Your mission
Cirrus clouds play an important role for climate since they affect the
Earth's radiation budget. The physical processes that govern their life
cycle are still poorly understood, as is their representation in climate
models. This work aims to improve the knowledge about the temporal
evolution of cirrus clouds by retrieving and analyzing cirrus cloud
properties from a combination of active and passive sensors aboard polar
orbiting and geostationary satellites.
The Spinning Enhanced Visible and Infrared Imager SEVIRI aboard the
geostationary Meteosat Second Generation satellites, with its 12
spectral channels and its high temporal resolution of 15 min, enables
the investigation of the life cycle of cirrus clouds. However, in order
to infer the vertical structure of clouds, this data must be
complemented with measurements from active sensors like those of the
upcoming ESA EarthCARE mission scheduled for 2015. In preparation for
the exploitation of EarthCARE, data from the current A-Train are
available which comprises a similar suite of instruments.
The successful candidate shall extend our SEVIRI retrievals of ice cloud
altitude and ice cloud optical thickness to the determination of ice
water path, ice crystal effective particle radius as well as outgoing
longwave and reflected shortwave radiation. The temporal evolution of
the physical and optical properties derived from SEVIRI for selected
cirrus cloud classes shall be investigated in conjunction with the
A-Train products in order to understand the physical processes that
govern their life cycle. Further insight into cirrus life cycle
processes may be gained by a comparative analysis of additional
satellite measurements and numerical model simulations of cirrus cloud
evolution.
Your Qualification
- Good knowledge and experience in the area of satellite remote sensing
and/or atmospheric radiative transfer
- Masters/diploma in physics or meteorology
- Fluent in spoken and written English
- Computer skills: LINUX, UNIX, MS-Office, at least familiar with one of
the high level computer languages usually employed in natural science.
- Ability to communicate and to work in a team
Your benefits:
Look forward to a fulfilling job with an employer who appreciates your
commitment and supports your personal and professional development.
Disabled applicants with equivalent qualifications will be given
preferential treatment.
Start: immediately, Duration: limited to 3 years, Salary: in accordance
to tariff part Tv?D 13 (50%), Level of employment: full-time, DLR-Site:
Oberpfaffenhofen, Institute of Atmospheric Physics
Applications including all relevant documents should be sent to:
Dr. Ralf Meerk?tter
DLR-Institut f?r Physik der Atmosph?re,
Oberpfaffenhofen,
D-82234 Wessling, Germany
Tel: +49-8153-28-2535
Fax: +49-8153-28-1841
email: ralf.meerkoetter@dlr.de
http://www.dlr.de/ipa/
------------------------------
Message: 2
Date: Thu, 27 Sep 2012 19:32:14 -0400
From: Takemasa Miyoshi <miyoshi@atmos.umd.edu>
Subject: [Met-jobs] Data assimilation research positions available in
Japan at RIKEN Advanced Institute for Computational Science
To: met-jobs@lists.reading.ac.uk
Message-ID:
<CAPQd5AD52jhEx39He1aDA1JZBN8xxKuzPy_HB4sfLzPT6aNZ6w@mail.gmail.com>
Content-Type: text/plain; charset="iso-8859-1"
Dear Colleagues:
I would appreciate your kind attention to the new opportunities in Japan.
The Data Assimilation Research Team is a new laboratory starting on 1
October 2012 at the RIKEN Advanced Institute for Computational Science,
conveniently located in the beautiful and historic city of Kobe. RIKEN is
known as the flagship research institution in Japan. We are hiring
enthusiastic scientists, who will work on cutting-edge data assimilation
research using the Japanese 10-Peta-Flops "K computer".
http://www.riken.go.jp/engn/r-world/info/recruit/k120927_s_aics.html
Concerns about living in Japan? RIKEN has support for non-Japanese
scientists.
http://www.lifeatriken.com/
If you have any question, please feel free to contact me at
miyoshi@atmos.umd.edu.
I would truly appreciate it if you could forward this announcement to
relevant scientists and researchers.
Sincerely,
Takemasa Miyoshi
[Available positions:]
Research Scientist, Postdoctoral Researcher, or Technical Staff, a few
people
[Research Field:]
The Advanced Institute for Computational Science (AICS) is operating the
world's leading K computer, and also has a strong Research Division. AICS
takes the lead in advancing the computational science and aims to be an
international center of excellence for computational science in
collaboration with a wide range of research organizations. AICS integrates
the computer science and computational science to conduct most advanced
research and development of a wide range of applied scientific computation,
as well as of high performance computing technologies.
The Data Assimilation Research Team ("DA team") performs cutting-edge
research and development on advanced data assimilation methods and their
wide applications, aiming at integrating computer simulations and
observational data in the wisest way. Particularly, the DA team will tackle
challenging problems of developing efficient and accurate data assimilation
systems for high-dimensional simulations with large amount of data. The
specific areas include 1) research on parallel-efficient algorithms for
data assimilation with the super-parallel K computer, 2) research on data
assimilation methods and applications by taking advantage of the
world-leading K computer, and 3) development of most advanced data
assimilation software optimized for the K computer.
--
Takemasa Miyoshi
Assistant Professor
Department of Atmospheric and Oceanic Science
University of Maryland, College Park, MD 20742, USA
Phone: 1-301-405-7797 FAX: 1-301-314-9482
E-mail: miyoshi@atmos.umd.edu
http://www.atmos.umd.edu/~miyoshi/
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