met-jobs@lists.reading.ac.uk
To subscribe or unsubscribe via the World Wide Web, visit
http://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
or, via email, send a message with subject or body 'help' to
met-jobs-request@lists.reading.ac.uk
You can reach the person managing the list at
met-jobs-owner@lists.reading.ac.uk
When replying, please edit your Subject line so it is more specific
than "Re: Contents of Met-jobs digest..."
Please note that attachments can be viewed on the Met-Jobs archive page at http://www.lists.rdg.ac.uk/archives/met-jobs/
Today's Topics:
1. Fully funded PhD Studentship: The challenge of modelling and
forecasting fog (Roland von Glasow)
2. Lecturer positions in Data Science at Lancaster University
(Assist. Prof equivalent) (Young, Paul)
3. Met Office job - Ocean data assimilation scientist (Verney, Fiona)
4. Met Office job - Ocean Modelling scientist (Verney, Fiona)
5. Postdoctoral Fellowship in Socio-Environmental Systems at
Dartmouth College (Jonathan M. Winter)
----------------------------------------------------------------------
Message: 1
Date: Tue, 03 Feb 2015 16:20:53 +0000
From: Roland von Glasow <R.von-Glasow@uea.ac.uk>
Subject: [Met-jobs] Fully funded PhD Studentship: The challenge of
modelling and forecasting fog
To: met-jobs@lists.reading.ac.uk
Message-ID: <54D0F565.8060500@uea.ac.uk>
Content-Type: text/plain; charset=utf-8; format=flowed
Fully funded PhD Studentship: The challenge of modelling and forecasting fog
The overarching goal of this project is to improve the prediction of
fog. The Met Office is currently conducting an 18 month large scale
field campaign in Shropshire, the Local And Non local Fog Experiment
(LANFEX). This studentship will make use of this unique, long-term
data set and use numerical models to improve the quantitative
prediction of fog events. The student will have the possibility to
participate in field trials and collect intensive observations in
Shropshire. The LANFEX data set will be used to compare with model
runs and provide a detailed assessment of model performance which will
facilitate improvements to the prediction of fog. In particular, it is
intended to examine model physics and parameterisations related to
initial fog formation and its deepening into thick fog, but all
aspects of fog evolution, including its breakup will be examined.
This project will be a close collaboration between UEA and the CASE
partner Met Office in collaboration with the project partner
University of Bonn.
4 years of funding (stipend and fees) for UK applicants;
Application deadline 31 Mar 2015, Start: 01 Oct 2015. Further
details and application form: http://tinyurl.com/ob5rswn
Please contact Prof Roland von Glasow (R.von-Glasow@uea.ac.uk) for
further information and informal discussions.
------------------------------
Message: 2
Date: Tue, 3 Feb 2015 16:56:16 +0000
From: "Young, Paul" <paul.j.young@lancaster.ac.uk>
Subject: [Met-jobs] Lecturer positions in Data Science at Lancaster
University (Assist. Prof equivalent)
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID: <3E82AA7D-013C-45DD-8345-7E528F8842D6@lancaster.ac.uk>
Content-Type: text/plain; charset="us-ascii"
As part of its 50th Anniversary Lectureships scheme, Lancaster University is looking to make several new appointments to its Data Science Institute. Four positions are aimed at applied data science, such as the environment, which could include working with atmospheric and climate models and observations.
General details of the scheme are available at: http://www.aplacetoblossom.co.uk.
The aim is to appoint early career scientists with encouragement as a cohort to develop rapidly towards rapid promotion and leadership.
Excellence and potential are more important than subject area, so if you working within "Big Data" or related areas then you are strongly encouraged to apply.
Deadline: 20th February 2015
Further information
Contact Keith Bevan (k.beven@lancaster.ac.uk<mailto:k.beven@lancaster.ac.uk>) for informal enquiries, or Paul Young (paul.j.young@lancaster.ac.uk<mailto:paul.j.young@lancaster.ac.uk>) or Nick Hewitt (n.hewitt@lancaster.ac.uk<mailto:n.hewitt@lancaster.ac.uk>) to talk informally about atmospheric/climate applications
Apply via http://www.aplacetoblossom.co.uk
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150203/07037c34/attachment.html
------------------------------
Message: 3
Date: Tue, 3 Feb 2015 16:38:46 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] Met Office job - Ocean data assimilation scientist
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<1D2BA1CAE298F449AE7741008C676A8607F8BF07@EXXCMPD1DAG2.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="iso-8859-1"
Salary Information
?21,675 and for exceptional candidates up to ?35,040 + competitive benefits including Civil Service Pension
The role
Organisations rely on our world-leading science and forecasting capabilities to operate safely and efficiently. As such, it's crucial that our models and systems are as innovative as possible and analyses are accurate, reliable and high quality. The Ocean Forecasting Research and Development (OFR&D) group develop, maintain and evaluate a range of operational ocean and wave models and this crucial business area creates products which are central to the EU Marine Core Service and support Naval operations, as well as a growing number of commercial customers.
The Marine Data Assimilation Team within OFR&D is responsible for carrying out research and development relevant to ocean and coupled ocean-atmosphere forecasting. Data assimilation is vital for forecasting as it combines the available satellite and in situ observations with previous model forecasts in order to provide the initial conditions for future forecasts. Joining this crucial team, you'll develop ocean and coupled ocean-atmosphere data assimilation schemes to improve the accuracy of global coupled ocean-atmosphere forecasts at timescales ranging from a few days out to six months. You'll carry out research and development work on ocean data assimilation and coupled ocean-atmosphere data assimilation, contributing to the EU project ERA-CLIM2. As part of the role, we'd like you to calculate error covariances between ocean and atmosphere variables using various techniques, understand the outputs of these calculations and draw conclusions. This is an excellent opportunity to get involved in a ground-breaking piece of scientific research working with world-leading scientists using world-leading technology.
Our new Data Assimilation Scientist could join us at any level, depending on experience: foundation scientist, scientist or senior scientist.
The person
Depending on what level you join us, you could have recently finished a degree or PhD or be working in a scientific or research focused organisation. Wherever you come from it's essential you're a team player with a background in Physics or Mathematics, and you would ideally have a knowledge of Oceanography or Data Assimilation. In order to be considered for the role, you'll need to meet the following essential criteria:
1. Good first degree (UK 2:1 or above) in a mathematically or physically based science.
Scientist/Senior level: Significant and relevant post-degree experience and/or qualification (e.g. PhD).
2. Good understanding and/or substantive productive experience in development and validation of numerical models or data assimilation systems, in the area of physical oceanography or similar science.
Senior level: Same as scientist level but with significant experience of either: a) development of numerical models or data assimilation systems; b) maintenance/support of numerical models or data assimilation systems; or c) model validation. (All in the area of physical oceanography or similar science.)
3. Strong evidence of scientific programming skills.
4. Ability to work in a united way with scientists and technical staff both within the Met Office and with external collaborators to deliver system improvements.
5. Evidence of good oral and written scientific communication skills.
6. Demonstrated drive to deliver high quality scientific output in a timely fashion through effective planning.
If you have any of the following desirable criteria, that's even better:
1. Knowledge of data assimilation techniques.
2. Scientific and technical knowledge of the ocean model NEMO, the sea ice model CICE, or the data assimilation system NEMOVAR.
3. Relevant scientific papers published in peer-reviewed literature.
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.
What we can offer you
We're constantly moving forwards, looking to optimise our abilities. Which is why, joining us, we'll invest in your development to help you be the very best you can be in whatever it is that you do. Rewards? There are plenty of those too. A competitive pension, opportunities for flexible working, performance-related pay schemes, some great benefits as well as 27.5 days' holiday, which increases to 32.5 days' after 5 years.
Additional Information
Please note that sponsorship to work in the UK may be available for this post.
To apply - please visit our Careers website - http://careers.metoffice.gov.uk/current-vacancies
[HR-careers-e-sig]<http://careers.metoffice.gov.uk/>[HR-careers-e-sig]<https://www.linkedin.com/company/met-office>[HR-careers-e-sig]<http://careers.metoffice.gov.uk/current-vacancies>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150203/4e385be7/attachment.html
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 9491 bytes
Desc: image001.jpg
Url : /archives/met-jobs/attachments/20150203/4e385be7/attachment.jpg
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 2021 bytes
Desc: image002.jpg
Url : /archives/met-jobs/attachments/20150203/4e385be7/attachment-0001.jpg
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image003.jpg
Type: image/jpeg
Size: 2688 bytes
Desc: image003.jpg
Url : /archives/met-jobs/attachments/20150203/4e385be7/attachment-0002.jpg
------------------------------
Message: 4
Date: Tue, 3 Feb 2015 16:39:45 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] Met Office job - Ocean Modelling scientist
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<1D2BA1CAE298F449AE7741008C676A8607F8BF1A@EXXCMPD1DAG2.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="iso-8859-1"
Salary Information
?26,010 and for exceptional candidates up to ?35,040 + competitive benefits including Civil Service Pension
The role
Organisations rely on our world-leading science and forecasting capabilities to operate safely and efficiently. As such, it's crucial that our models and systems are as innovative as possible and analyses are accurate, reliable and high quality. The Ocean Forecasting Research and Development (OFR&D) group develop, maintain and evaluate a range of operational ocean and wave models and this crucial business area creates products which are central to the EU Marine Environment Monitoring Service and support naval operations, as well as a growing number of commercial customers.
The Ocean Forecasting Development team are responsible for implementing developments into our operational ocean systems and maintaining and supporting these systems. As Ocean Modelling Scientist, you'll improve and evaluate the Forecast Ocean Assimilation Model (FOAM), with particular responsibility for Deep Ocean configurations. You'll bring together developments from other ocean groups and implement them into the operational configuration, before setting up and carrying out trials of the FOAM system. You'll then scientifically evaluate the results to inform whether or not to implement the development operationally. Your role will increasingly involve using a coupled modelling system which combines FOAM with the Met Office's world-leading Unified Model of the atmosphere. You'll carry out research and development to improve the accuracy of global coupled ocean-atmosphere forecasts at timescales ranging from a few days out to six months. This is an excellent opportunity to get involved in ground-breaking research that will impact the future of both ocean and atmospheric forecasts.
Our new Ocean Modelling Scientist could join us at either scientist or senior scientist level, depending on experience.
The person
You may have recently finished a PhD or be working in a scientific or research focused organisation. Wherever you come from it's essential you're a team player with the ability to solve problems in complex model systems.
In order to be considered for the role, you'll need to meet the following essential criteria:
1. Good first degree (UK 2:1 or above) in a mathematically or physically based science with significant and relevant post-degree experience and/or qualification (e.g. PhD).
2. Good understanding and/or substantive productive experience in development and validation of numerical models or data assimilation systems, in the area of physical oceanography or similar science.
Senior level: As scientist level but with significant experience of either: a) development of numerical models or data assimilation systems; b) maintenance/support of numerical models or data assimilation systems; or c) model validation. (All in the area of physical oceanography or similar science.)
3. Strong evidence of scientific programming skills.
4. Ability to work in a united way with scientists and technical staff both within the Met Office and with external collaborators to deliver system improvements.
5. Evidence of good oral and written scientific communication skills.
6. Demonstrated drive to deliver high quality scientific output in a timely fashion through effective planning.
If you have any of the following desirable criteria, that's even better:
1. Background in physical oceanography.
2. Scientific and technical knowledge of the ocean model NEMO, the sea ice model CICE, or the data assimilation system NEMOVAR.
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.
What we can offer you
We're constantly moving forwards, looking to optimise our abilities. Which is why, joining us, we'll invest in your development to help you be the very best you can be in whatever it is that you do. Rewards? There are plenty of those too. A competitive pension, opportunities for flexible working, performance-related pay schemes, some great benefits as well as 27.5 days' holiday, which increases to 32.5 days' after 5 years.
Additional Information
Please note that sponsorship to work in the UK may be available for this post.
To apply please go to our Careers website - http://careers.metoffice.gov.uk/current-vacancies
Fiona Verney HR Resourcing Team Leader - Operations & Science
Met Office, FitzRoy Road Exeter Devon EX1 3PB United Kingdom
Tel: Resourcing - 01392 886596
E-mail: fiona.verney@metoffice.gov.uk<mailto:fiona.verney@metoffice.gov.uk> http://www.metoffice.gov.uk
[HR-careers-e-sig]<http://careers.metoffice.gov.uk/>[HR-careers-e-sig]<https://www.linkedin.com/company/met-office>[HR-careers-e-sig]<http://careers.metoffice.gov.uk/current-vacancies>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150203/18529322/attachment.html
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 9491 bytes
Desc: image001.jpg
Url : /archives/met-jobs/attachments/20150203/18529322/attachment.jpg
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image002.jpg
Type: image/jpeg
Size: 2021 bytes
Desc: image002.jpg
Url : /archives/met-jobs/attachments/20150203/18529322/attachment-0001.jpg
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image003.jpg
Type: image/jpeg
Size: 2688 bytes
Desc: image003.jpg
Url : /archives/met-jobs/attachments/20150203/18529322/attachment-0002.jpg
------------------------------
Message: 5
Date: Tue, 3 Feb 2015 21:32:06 +0000
From: "Jonathan M. Winter" <Jonathan.M.Winter@dartmouth.edu>
Subject: [Met-jobs] Postdoctoral Fellowship in Socio-Environmental
Systems at Dartmouth College
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID: <9AC72E3A-BF87-4854-9FCE-D7D6559AAE34@dartmouth.edu>
Content-Type: text/plain; charset="us-ascii"
The Department of Geography seeks a postdoctoral fellow with expertise in coupled human and natural systems. This two-year position will complement existing departmental strengths in quantitative global change, international development, and geospatial modeling. Research areas could address biophysical resilience to environmental change, socioeconomic drivers of land use, and institutional adaptive capacity to climate change. Approaches of particular interest include quantitative modeling (e.g., agent-based, integrated assessment), remote sensing, and political ecology. In your cover letter please specify how your research approach addresses the interactive components of both human and natural systems. The successful applicant will contribute intellectually to the Department and College by collaborating with faculty to conduct interdisciplinary research while also teaching two approximately 10 week long courses per year.
A doctoral degree in a relevant field must be completed by the start date of the fellowship. To apply please upload a cover letter, research plan (not to exceed two pages), curriculum vitae, names and contact information for three references, and up to three reprints to http://apply.interfolio.com/28020 by March 1st, 2015. Questions should be directed to Frank Magilligan (geography@dartmouth.edu<mailto:geography@dartmouth.edu>).
-------------- next part --------------
An HTML attachment was scrubbed...
URL: /archives/met-jobs/attachments/20150203/e78720ab/attachment.html
------------------------------
_______________________________________________
Met-jobs mailing list
Met-jobs@lists.reading.ac.uk
http://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
End of Met-jobs Digest, Vol 557, Issue 3
****************************************
