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Today's Topics:
1. Job vacancy: Atmospheric Radiation Parametrization Scientist,
Met Office, Exeter, UK (Morcrette, Cyril)
2. Environmental Scientist: Climate Change and Health Vacancy
(Clare Heaviside)
3. Met Office job vacancy - Satellite Applications Scientist
(Verney, Fiona)
4. Interdisciplinary post-doctoral position in cognitive
neuroscience: forecasting behavior based on brain activity
(Schurger Lab)
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Message: 1
Date: Wed, 13 May 2015 10:58:44 +0000
From: "Morcrette, Cyril" <cyril.morcrette@metoffice.gov.uk>
Subject: [Met-jobs] Job vacancy: Atmospheric Radiation Parametrization
Scientist, Met Office, Exeter, UK
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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The Met Office, in Exeter, UK, is looking for candidates to fill the post of
"Atmospheric Radiative Transfer Parametrization Research Scientist"
More information and full details of the application process can be found at:
http://emea3.mrted.ly/o8ul
The role:
Here at the Met Office, we're proud to work at the forefront of weather and climate services, with science underpinning everything we do. An essential part of our work in weather forecasting and climate research relies on an understanding of radiative transfer. The interaction of short-wave (solar) and long-wave (terrestrial) radiation, with water vapour, clouds, trace gases, the earth's surface and aerosols, has a major influence on the Earth's atmosphere. The accurate, yet affordable, representation of radiative transfer in numerical models has wide-reaching implications for the Met Office, from improving the skill of our weather forecasts to increasing the reliability of our climate projections.
Working at the forefront of atmospheric science, you'll carry out scientific research to develop a strong understanding of atmospheric radiative transfer and how to represent it using parametrization schemes. Your findings will make significant and lasting improvements to the parametrization schemes used in our climate and weather forecast model (the Unified model), and you'll have the opportunity to publish and present your work to the wider scientific community. Collaboration is key to this role, as you'll not only work with observation and climate science colleagues, but also with external academia both in the UK and abroad. This is an incredibly exciting role, as the work that you do will make a significant contribution to weather forecasting and climate research, which ultimately impacts both climate science and the general public.
The person:
As a Scientist, you're likely to be currently working in academia or in a similar research-based role. You'll also need to meet the essential criteria below. If you have any of the additional desirable criteria, that's even better.
Essential
1. A good degree (2:1 or above, or equivalent) in mathematics or a physical science and a PhD in physics, astronomy, mathematics or meteorology or equivalent research experience.
2. Evidence of a good scientific understanding of atmospheric radiative transfer.
3. Evidence of ability to learn and apply new scientific techniques.
4. Proven ability to plan and conduct scientific research, displaying initiative, independence and analytical skills.
5. Evidence of the motivation and drive to overcome obstacles in order to solve scientific problems.
6. Evidence of the ability to develop and test software to address scientific questions.
7. Evidence of the ability to work flexibly within a team to overcome issues and deliver a successful outcome.
8. Evidence of good oral and written scientific communication skills (e.g. writing reports, giving presentations).
Desirable
1. Experience of carrying out research studying radiative transfer.
2. Experience with the Met Office Unified Model and/or a radiative transfer code.
3. Experience of developing and testing General Circulation Model parametrization schemes.
4. Experience of a scientific computing environment, for example using Fortran, IDL/Python or UNIX/LINUX.
About us:
Through world-leading science and cutting-edge technology, through idea generation and enthusiasm, we collaborate to challenge the ordinary every day because we believe in the best. The best for our customers, the best for your career. It's a career where you'll be challenged, developed and fascinated; a career where whatever you do, your work will make a valuable contribution to the bigger picture. A career to be proud of.
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Message: 2
Date: Wed, 13 May 2015 12:16:50 +0000
From: Clare Heaviside <Clare.Heaviside@phe.gov.uk>
Subject: [Met-jobs] Environmental Scientist: Climate Change and Health
Vacancy
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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An opportunity has arisen for a self-motivated Environmental Public Health Scientist to contribute to a research programme on Environmental Change and Health. This research, funded by the EU project EURO-HEALTHY (Shaping EUROpean policies to promote HEALTH equitY), will be part of a collaboration of Public Health England with the University of Coimbra (Portugal), University of Athens (Greece), University College London, and other European research institutions.
The project aims at understanding the relationship between multiple environmental and socioeconomic determinants of health and wellbeing, and departing from that information, to build health indicators to monitor overall health across European regions and in urban areas. This post will mainly contribute to the Environmental Public Health Risks Work Package of EURO-HEALTHY. The focus of the work will be to assess the health impact of the main environmental risk factors (e.g. air pollution, environmental noise, climate change, etc.) and urban environmental determinants (housing, transport, walkability, urban green spaces, etc.) in urban areas. The post is based at the Air Pollution and Climate Group of the Environmental Change Department within PHE's Centre for Radiation, Chemical and Environmental Hazards.
The successful candidate will have a PhD, or equivalent, in environmental science, environmental epidemiology, risk assessment, urban climatology, environmental physics, atmospheric science, mathematical modelling or similar. Relevant post-doctoral experience, preferably involving analysis of complex data sets from a variety of sources (e.g. health, environmental, demographic), is also desirable.
For an informal discussion about the post please contact Dr Sotiris Vardoulakis (sotiris.vardoulakis@phe.gov.uk<mailto:sotiris.vardoulakis@phe.gov.uk>) (01235 825148).
For a full job description and for applying for this post please follow the link:
http://www.jobs.nhs.uk/xi/vacancy/28e6b33c4c9baa9ef1de84f0e09b706d/?vac_ref=913758225
Closing Date for applications:20/05/2015
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The information contained in the EMail and any attachments is confidential and intended solely and for the attention and use of the named addressee(s). It may not be disclosed to any other person without the express authority of Public Health England, or the intended recipient, or both. If you are not the intended recipient, you must not disclose, copy, distribute or retain this message or any part of it. This footnote also confirms that this EMail has been swept for computer viruses by Symantec.Cloud, but please re-sweep any attachments before opening or saving. http://www.gov.uk/PHE
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Message: 3
Date: Wed, 13 May 2015 12:50:36 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] Met Office job vacancy - Satellite Applications
Scientist
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Satellite Applications Scientist
Location: Exeter, UK
Contract: Permanent
Work Hours: 37 per week
Salary Information: ?21,675 and for exceptional candidates up to ?35,040 + competitive benefits including Civil Service Pension
Background: The Satellite Applications Section of the Met Office undertakes R&D to improve the impact of satellite data within numerical weather prediction (NWP) systems and hence to improve the accuracy of weather forecasts. It also performs R&D to generate and improve satellite products in support of other forecasting applications, climate monitoring and environmental services. The direct assimilation of satellite data into NWP models is an important part of the Section's work and relies on accurate radiative transfer models. Current activities use visible, infra-red and microwave data from geostationary and polar-orbiting satellites, and they include preparation for new satellites and instruments planned for the coming decade. As a result fast radiative transfer models are required across the electromagnetic spectrum for a number of applications in the section. RTTOV, a fast radiative transfer model developed in collaboration with European partners is the main focus of this work at present. External liaison with the partners also contributing to the model developments is an important part of the work .
Job Purpose: To work as a member of a research and development team to help develop the radiative transfer modelling effort in Satellite Applications.
Job Responsibilities: To carry out research and development to deliver agreed project outputs for the radiative transfer plans of the section. Senior Scientists will be expected to lead and manage projects.
To contribute significantly to the presentation and publication/documentation of work internally and externally in order to communicate advice and maintain our scientific capability and our integrity and to promote our reputation. To represent the Met Office at international meetings of the radiative transfer group.
To provide scientific/technical advice to other team members on some work aspects to improve the effectiveness of the team.
Essential Qualifications, Skills & Abilities:
1.All levels: A good background in a physical science or maths to at least degree level (2:1 or above).
Scientist: Relevant PhD or equivalent research experience
Senior Scientist: Extensive experience and proven track record or scientific research. Evidence of ability in planning and delivery of large scientific research projects.
2. Demonstrates an ability to apply broad scientific knowledge to specific problems and scenarios and has experience of radiative transfer modelling.
Foundation Scientist: Evidence of ability to learn and apply simple technical or analytical techniques to basic scientific problems. Basic radiative transfer modelling experience.
Scientist: Demonstrate good scientific knowledge of own subject area and ability to recognise potential for scientific investigations and learn new techniques/knowledge and apply them to one area of research. Extensive experience in radiative transfer modelling.
Senior Scientist: Demonstrate an advanced understanding of broad subject area and ability to assist others with related knowledge and techniques. Recognised expert in radiative transfer modelling.
3. All Levels: Evidence of enthusiasm for a career in scientific research.
4. All Levels: Demonstrates an ability to communicate their own science to other scientists.
Scientist: Ability to clearly communicate the work of their team to non specialists.
Senior Scientist: Demonstrated ability to communicate their work to specialists and non specialists and to be able to interact with them in a clear and concise manner with influence and authority.
5. Demonstrated ability to learn and apply software tools and/or programming languages.
Foundation Scientist: Experience of setting up and running simple code and performing basic analysis.
Scientist & Senior Scientist: Experience of writing and modifying moderately complex code and producing high quality data analysis.
6. All levels: Evidence of the ability to work and collaborate as an active and productive member of a team.
Senior Scientist: Evidence of ability to provide scientific/technical leadership or mentoring to junior staff.
Desirable Qualifications, Skills & Abilities:
1. Knowledge and experience of numerical weather prediction.
2. Knowledge and experience of Earth remote sensing from satellites.
Additional Supplementary Information: Please note, if you do not currently have permission to work in the UK, we will be unable to provide this for you for this vacancy.
Closing date: 29 May 2015
Click here to apply online <https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=QBHFK026203F3VBQB79LO8N25&nPostingTargetID=1606&step=DIRECT>
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Message: 4
Date: Wed, 13 May 2015 16:47:21 +0200
From: Schurger Lab <schurgerlab@gmail.com>
Subject: [Met-jobs] Interdisciplinary post-doctoral position in
cognitive neuroscience: forecasting behavior based on brain activity
To: met-jobs@lists.reading.ac.uk
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Brain-behavior forecasting: Neural antecedents of spontaneous
self-initiated movement and the forecasting of behavior from brain activity
Interdisciplinary post-doctoral position in cognitive neuroscience
Starting date: Fall 2015 or Spring 2016
Duration: 2 years (renewable for one additional year)
The French Institute of Health and Medical Research (INSERM) invites
applications for a post-doctoral position in the Cognitive Neuroimaging
Group, at the NeuroSpin Research Center near Paris, France, as part of the
research team of Dr. Aaron Schurger. The Schurger lab focuses on
understanding how decisions are made and actions initiated spontaneously,
without an external sensory cue, and how time series of neural activity
(now) can be used to forecast behavior (seconds or minutes from now). We
pursue this research using a combination of behavioral experiments,
neuroimaging, computational modeling, and machine learning techniques.
We are particularly interested in attracting applicants from meteorology,
macroeconomics, machine learning and other disciplines that involve a
mastery of time series analysis, statistical learning, forecasting, and/or
forecast verification. Applicants should have a obtained a PhD in a
relevant discipline prior to the starting date, and should have strong
skills in at least some of the following areas:
computer programming (MatLab, Python, C, C++),
statistics,
signal processing,
computational, mathematical, and/or neural network modeling,
statistical learning / machine learning / mutivariate pattern
classification,
time series analysis,
forecasting.
Resources available at NeuroSpin include Siemens 3T and 7T MRI scanners;
high-density EEG (EGI Inc.); Elekta NeuroMag 306-channel MEG (allowing for
the simultaneous recording of EEG); eye tracking (available for MRI, MEG,
and behavioral experiments); an in-house team of experts in signal
processing and statistical learning; a dedicated staff handling subject
recruitment, scheduling, and payment; various Nespresso devices; and
proximity to Paris.
The salary is competitive, being aligned with that offered by Marie Curie
fellowships.
Applicants should send a CV, letter of motivation (max 2 pages), and three
letters of recommendation via e-mail to aaron.schurger@gmail.com. Review of
applicants will begin on June 1, 2015, and will continue until the position
is filled.
The NeuroSpin Research Center is located on the campus of the CEA-Saclay,
near Orsay, about 18 km southwest of Paris. For more information on the
NeuroSpin Research Center, the Cognitive Neuroimaging Group, or the
Schurger lab:
http://www-centre-saclay.cea.fr/fr/Visite-guidee-de-NeuroSpin
http://meg-france.in2p3.fr/_lesCentres/Neurospin_en.php
http://www-dsv.cea.fr/en/institutes/institute-of-biomedical-imaging-i2bm/departments/neurospin-neurospin
http://www.unicog.org/pm/pmwiki.php
https://www.sites.google.com/site/aaronschurger/
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