met-jobs@lists.reading.ac.uk
July 2020
Message 32

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[Met-jobs] Exciting opportunity: Earth Observation Scientists at the Met Office

From "Marenco, Franco" <franco.marenco@metoffice.gov.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Wed, 8 Jul 2020 12:42:26 +0000

 

 

 

URL: https://www.metoffice.gov.uk/about-us/careers/vacancies then click on “Earth Observation Scientists”

 

Direct link: https://iframe.recruitmentplatform.com/met_office/external/details.html?nPostingTargetID=6112

 

Key Dates: Closing date 26/07/2020 with interviews w/c 10/08/2020. Please note that you will be notified if you are successful or unsuccessful.

 

 

Extract from the job advert (refer to the above URL for the full text):

 

 

Do you want to work in a globally renowned centre of excellence, helping to safeguard the lives of millions of people?

 

The Met Office now has opportunities for talented scientists to apply their skills to real-world problems, improving services that impact all our lives. Our award-winning Met Office Headquarters in Exeter is home to world-class scientific research teams and computer technology, working to improve our understanding of, and ability to predict, atmosphere, land and ocean aspects of the earth-system. The Met Office produces weather forecasts from a range of deterministic and ensemble numerical weather prediction systems, which are delivered to customers worldwide.

 

The effective use of Earth Observation data from both remote sensing and in-situ sources is essential in order to produce skilful weather forecasts. A number of exciting opportunities have arisen in the Science directorate of the Met Office in both the Space Applications and Nowcasting (SAN) and the Satellite and Surface Assimilation (SSA) teams. SAN’s mission is to transform observations into products for situational awareness, nowcasting and use in data assimilation applications. The SSA team works on the assimilation of space- and surface-based observations into global and regional numerical weather prediction models.

 

 

Job Purpose

 

We have several exciting opportunities within SAN and SSA and are looking for talented and creative candidates eager to contribute to the research and development required to improve our environmental situational awareness and our weather forecasts, from minutes to days ahead. The successful applicants will become members of one of our world-leading research and development teams and will apply scientific and technical knowledge to contribute to the success of the Met Office.

 

There are three grades in the Met Office Scientist profession: Foundation Scientist, Scientist and Senior Scientist. We are prepared to recruit into any of these grades for the vacancies in this advertisement. Appointments at all grades are dependent on the capability of the candidates.

 

Our current vacancies are as follows:

 

- Nowcasting Research Scientists: To perform research into how to improve our forecasts out to 2 hours ahead, by using traditional and novel observations along with state of the art data science and analysis methods.

 

- Satellite Imagery Scientists: To improve the application of satellite imagery datasets for forecasting, nowcasting and verification of the numerical weather prediction (NWP) model forecasts and assimilation into the NWP model.

 

- Satellite And Surface Assimilation Scientists: To improve our methods and systems for assimilating satellite and surface- based observations into numerical weather prediction models with the aim of improving the skill of these models.

 

Applications within the current call may also be considered for additional vacancies in the Science area that may occur within the next 6 months.

 

 

Job Responsibilities

 

  • To carry out research and development to improve Met Office systems and applications.
  • To provide support to users of the systems and applications that they develop.
  • To provide interpretation and analysis of meteorological datasets.
  • To publish Met Office research in both internal reports and scientific journals and to present this work at both national and international meetings.
  • To provide scientific/technical advice to peers, managers and external stakeholders.
  • At Senior Scientist level, to make significant contributions to writing project plans and to leading and managing research, and to support and advise areas outside of their immediate team.

 

 

Essential Qualifications, Skills & Abilities

 

  1. Good qualifications and relevant experience. (Foundation Scientist: A good degree or equivalent experience in a physical/mathematical/environmental science subject. Scientist: Significant postgraduate experience (e.g. a PhD) in a relevant scientific area. Senior Scientist: Extensive post-doctoral level or equivalent experience, a proven track record of scientific research and an ability to plan and deliver scientific research projects).
  2. Demonstrated ability to apply broad scientific knowledge to a range of specific scientific problems and scenarios.
  3. Experience or aptitude to write scientific software. (Foundation Scientist: Aptitude to learn and apply software tools and/or programming languages. Scientist: Ability to write, modify and run scientific software codes. Senior Scientist: Experience of leading and/or supporting significant scientific software developments, ideally in Python or Fortran).
  4. Demonstrated ability to be a strong team player with an ability to support and interact with scientific and technical colleagues. (Foundation Scientist: Ability to contribute effectively to scientific group activities. Scientist: Willingness and ability to take responsibility for some deliverables in scientific group activities. Senior Scientist: Ability to provide scientific/technical support and mentoring to junior staff).
  5. Good communication skills (written, oral, presentation and listening). (Note that a Senior Scientist would be expected to communicate scientific and technical information to specialist and non-specialist stakeholders, and to interact with them in a clear and concise manner with influence and authority).

 

 

Desirable Qualifications, Skills & Abilities

 

Experience of one or more of the following would be an advantage but is not essential. These criteria are not in priority order.

 

  1. Knowledge of or desire to learn skills in data science, including machine learning.
  2. Knowledge of techniques that underpin Nowcasting.
  3. Knowledge of observing systems for weather forecasting.
  4. Knowledge or experience in atmospheric physics or chemistry, including radiative transfer.
  5. Knowledge or experience in numerical weather prediction and/or data assimilation.

 

 

Salary Information and Additional Supplementary Information (including how to apply): see the job advert on the Met Office website.

 

 

Thanks for your attention,

 

 

Franco Marenco

 

 

 

 

 

 

--

 

Dr. Franco Marenco, Manager, Satellite Imagery

 

Met Office D2, FitzRoy Road, Exeter, EX1 3PB, United Kingdom

Phone:   +44 (0)330 1350849        Fax:   +44 (0)1392 885681

E-mail:  <franco.marenco@metoffice.gov.uk>

Web:     http://www.metoffice.gov.uk

 



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