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Today's Topics:
1. Weather Radars Product Manager Opportunity at Vaisala in
Westford MA, USA (riku.huikuri@vaisala.com)
2. PhD on modeling the Future Greenland Ice Sheet coupled to the
Climate System with CESM-CISM (Miren Vizcaino)
3. PostDoc in numerical ocean modeling and data analysis
(Roger Brugge)
4. New position working on sub-seasonal predictability, Reading,
UK (Roger Brugge)
5. Modified: New position working on sub-seasonal
predictability, Reading, UK (Roger Brugge)
----------------------------------------------------------------------
Message: 1
Date: Mon, 12 Sep 2016 11:34:04 +0000
From: <riku.huikuri@vaisala.com>
To: <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Weather Radars Product Manager Opportunity at
Vaisala in Westford MA, USA
Message-ID:
<ef70402546a442c287d2d1b2828d40ba@HEL-EXCH-03.corp.vaisala.com>
Content-Type: text/plain; charset="iso-8859-1"
Product Manager - Weather Radars, Vaisala Group
Location: Westford MA, USA
Full time, permanent, available immediately
We are currently recruiting for a
Product Manager, Weather Radars
to join our international team. Working in close collaboration with our technical and sales staff, the Product Manager's main responsibility is to drive the competitiveness of Vaisala weather radar signal processing and software products. The Product Manager engages in active dialogue with users of weather radars and the scientific community and gives direction to our R&D teams based on customer needs and the latest scientific developments in the field. The Product Manager actively steers software development, possibly also acts as a product owner to our agile SW development team. The Product Manager will define and deliver product differentiation, strategic marketing messages and product value argumentation. In addition, participation in preparation of commercial offers and contribution to pre-sales marketing actions are part of the role.
Full job description is available at https://uscareers-vaisala.icims.com/jobs/2687/product-manager%2c-weather-radars/job?hub=7.
About us:
Vaisala has been predicting the unpredictable for over 80 years. We are a global leader in weather and industrial measurements, and our innovative, life-saving technologies can be found in demanding environments from hospitals, national parks and data centers to airports and wind farms all over the world- and beyond! Even the Mars Rover Curiosity is equipped with our sensors. We offer you a career with a clear purpose and a chance to create observations for a better world. With our 1,600 professionals worldwide we intend to stay on top of our game and this is where you come in.
www.vaisala.com<http://www.vaisala.com>
Riku Huikuri | HR Manager, Head of Software Development
Vaisala Oyj, Vanha Nurmijärventie 21, FI-01670 Vantaa, Finland
Tel +358 40 7451 938
Email riku.huikuri@vaisala.com<mailto:riku.huikuri@vaisala.com> | www.vaisala.com<http://www.vaisala.com/>
Follow us on: Twitter<http://twitter.com/vaisalagroup> | Facebook<http://www.facebook.com/Vaisala> | YouTube<http://www.youtube.com/VaisalaGroup> | LinkedIn<http://www.linkedin.com/company/166747?trk=tyah>
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Message: 2
Date: Mon, 12 Sep 2016 13:13:25 +0000
From: Miren Vizcaino <M.Vizcaino@tudelft.nl>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PhD on modeling the Future Greenland Ice Sheet
coupled to the Climate System with CESM-CISM
Message-ID: <79A896D0-DE39-4D37-9943-AA2497070664@tudelft.nl>
Content-Type: text/plain; charset="utf-8"
Dear Colleague,
Please disseminate add, thanks!
Miren Vizcaino
-------
PhD on modeling the Future Greenland Ice Sheet coupled to the Climate System with CESM-CISM
Job description
The PhD candidate will investigate future interactions between the Greenland ice sheet (GrIS) and the climate system with the Community Earth System Model (CESM, www2.cesm.ucar.edu<http://www2.cesm.ucar.edu>) coupled to the Community Ice Sheet Model version 2 (CISM2, http://oceans11.lanl.gov/cism/index.html). CESM is a global climate model capable of realistic simulation of GrIS surface melt and refreezing. CISM is an ice sheet model that simulates the topography, velocity field and thermal state of ice sheets.
Including ice sheets as interactive components of global climate model is a young and promising field of research. This project is timely as the GrIS is currently losing mass at an accelerated rate and its contribution to future sea level rise is one major impact of anthropogenic climate change. This project will participate in the international Ice Sheet Model Intercomparison Project 6 (ISMIP6).
The PhD candidate will design and perform simulations with the ice sheet and climate models, will modify the code where appropriate for specific research targets, and will analyze model output and available observations. He/she will evaluate the sensitivity of the GrIS to atmospheric and/or ocean forcing, will quantify the role of feedbacks in accelerating/decelerating GrIS mass loss, and will contribute to assess the timing and climatic impacts of Greenland deglaciation.
Qualifications
Applicants should have a strong background in meteorology, oceanography, Earth sciences or physics at the MSc level, as well as experience with FORTRAN90, geophysical models and Unix-Linux environments. Experience with CESM, CISM or similar climate and/or ice sheet models is a plus. Strong programming skills are essential. Good English speaking and writing skills are required.
Employer information
The Department of Geoscience and Remote Sensing (http://www.grs.citg.tudelft.nl) conducts a research program in the disciplines of geodesy and remote sensing, natural geophysics, and climate and atmospheric sciences. It emphasizes the interrelation between new observational techniques and applications in engineering and geosciences, including the development of ground-based, airborne, and space-borne methods and models. The department has an internationally leading role in research related to Earth-oriented space research, satellite geodesy, gravity field modeling, natural hazards, geodynamics and climate studies.
Delft University of Technology (the TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. The TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At the TU Delft you will work in an environment where technical sciences and society converge. The TU Delft comprises eight faculties, unique laboratories, research institutes and schools.
We offer a full-time position during four years. Funding is provided from the ERC-awarded (https://erc.europa.eu) project "CoupledIceClim".
http://www.tudelft.nl/en/current/latest-news/article/detail/erc-starting-grant-voor-onderzoek-naar-smeltend-groenlands-ijs/
Application:
Please send a letter of motivation, CV and (email) addresses of two referees to Miren Vizcaino at M.Vizcaino@tudelft.nl<mailto:M.Vizcaino@tudelft.nl> with Subject: "ERC-PhD FutureGrIS", at the latest by Oct 23rd 2016. Starting date is between Nov 1st 2016 and Feb 1st 2017.
-------
Miren Vizcaino
Assistant Professor (UD)
Department Geoscience and Remote Sensing (GRS)
Delft University of Technology
Room 2.18 Stevinweg 1
2628 CN Delft, The Netherlands
Tel. + 31 (0)15 27 85 992
M.Vizcaino@tudelft.nl<mailto:M.Vizcaino@tudelft.nl>
http://www.citg.tudelft.nl/en/about-faculty/departments/geoscience-and-remote-sensing/staff/scientific-staff/dr-m-miren-vizcaino
http://homepage.tudelft.nl/5f8f3
http://www.grs.citg.tudelft.nl
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Message: 3
Date: Mon, 12 Sep 2016 16:32:50 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] PostDoc in numerical ocean modeling and data
analysis
Message-ID:
<B510E661B180DE459DF354D6B8026C1D01264927F5@vime-mbx4.rdg.ac.uk>
Content-Type: text/plain; charset="utf-8"
Attached is a job offer for a PostDoc position
in numerical ocean modeling and data analysis
at the Helmholtz-Zentrum Geesthacht, Institute for Coastal Research.
Dr. Ralf Weisse | Helmholtz-Zentrum Geesthacht
Centre for Materials & Coastal Research
Max-Planck-Str. 1 | 21502 Geesthacht, Germany
Email: ralf.weisse@hzg.de
>> Internet: www.hzg.de/coastal_climate
>> coastDat: www.coastdat.de
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Message: 4
Date: Tue, 13 Sep 2016 09:35:13 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] New position working on sub-seasonal
predictability, Reading, UK
Message-ID:
<B510E661B180DE459DF354D6B8026C1D0126492A77@vime-mbx4.rdg.ac.uk>
Content-Type: text/plain; charset="us-ascii"
A new 24-month position working on sub-seasonal predictability is available at the University of Reading. The research scientist will examine sub-seasonal predictability in the North Atlantic sector, working closely with an industrial sponsor. The post-holder will be expected to work with a set of hindcast data available from the S2S project to meet the following objectives:
- Developing an extendable statistical methodology for diagnosing and assessing skill, uncertainty and bias under the main Euro-Atlantic weather regimes for variables and regions of interest to the sponsor
- Assessing how regimes and their transitions affect predictability by using an EOF phase index (similar to the MJO RMM index)
- Performing (if thought beneficial and depending on the results from the main weather regimes) a more tailored regime analysis using the best available method (e.g. Self Organising Maps)
- Assessing if the predictive skill is conditional on global/remote drivers such as the MJO, ENSO, QBO, anomalous stratospheric events, PDO, SST patterns and surface forcings such as sea ice, snow and soil moisture anomalies
- Determining if gains in skill and predictability are model dependent
You will have:
- A willingness to work closely with an industrial partner to produce work which is both scientifically novel and applicable to immediate real-world application
- A creative, problem-solving approach to science and a desire to find new ways to interrogate and understand very large atmospheric datasets
- A strong background in understanding the dynamics of the climate system and the impact of dynamics on predictability
You will be working with a team of research scientists with expertise in different areas of the climate system which influence sub-seasonal predictability (Stratosphere: Andrew Charlton-Perez; Tropics/MJO: Steve Woolnough & Nicholas Klingaman; North-Atlantic storm-track: David Brayshaw) and an interest in understanding the applications of this predictability.
Informal enquires to Andrew Charlton-Perez (a.j.charlton-perez@reading.ac.uk<mailto:a.j.charlton-perez@reading.ac.uk>)
------------------------------
Message: 5
Date: Tue, 13 Sep 2016 09:51:45 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Modified: New position working on sub-seasonal
predictability, Reading, UK
Message-ID:
<B510E661B180DE459DF354D6B8026C1D0126492AE9@vime-mbx4.rdg.ac.uk>
Content-Type: text/plain; charset="us-ascii"
This link was missing in the original advert:
http://www.reading.ac.uk/about/jobs/about-job-details.aspx?vacancy_id=722045BEPR
===
A new 24-month position working on sub-seasonal predictability is available at the University of Reading. The research scientist will examine sub-seasonal predictability in the North Atlantic sector, working closely with an industrial sponsor. The post-holder will be expected to work with a set of hindcast data available from the S2S project to meet the following objectives:
- Developing an extendable statistical methodology for diagnosing and assessing skill, uncertainty and bias under the main Euro-Atlantic weather regimes for variables and regions of interest to the sponsor
- Assessing how regimes and their transitions affect predictability by using an EOF phase index (similar to the MJO RMM index)
- Performing (if thought beneficial and depending on the results from the main weather regimes) a more tailored regime analysis using the best available method (e.g. Self Organising Maps)
- Assessing if the predictive skill is conditional on global/remote drivers such as the MJO, ENSO, QBO, anomalous stratospheric events, PDO, SST patterns and surface forcings such as sea ice, snow and soil moisture anomalies
- Determining if gains in skill and predictability are model dependent
You will have:
- A willingness to work closely with an industrial partner to produce work which is both scientifically novel and applicable to immediate real-world application
- A creative, problem-solving approach to science and a desire to find new ways to interrogate and understand very large atmospheric datasets
- A strong background in understanding the dynamics of the climate system and the impact of dynamics on predictability
You will be working with a team of research scientists with expertise in different areas of the climate system which influence sub-seasonal predictability (Stratosphere: Andrew Charlton-Perez; Tropics/MJO: Steve Woolnough & Nicholas Klingaman; North-Atlantic storm-track: David Brayshaw) and an interest in understanding the applications of this predictability.
Informal enquires to Andrew Charlton-Perez (a.j.charlton-perez@reading.ac.uk<mailto:a.j.charlton-perez@reading.ac.uk>)
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