April 2019
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[Met-jobs] 12 PhD positions for the MSCA ITN CAFE Climate Advanced Forecasting of sub-seasonal Extremes' project

From Albert Osso <>
To "" <>, "" <>
Date Mon, 1 Apr 2019 13:51:55 +0000

Dear colleagues,

I distribute that for your interest.



We are happy to announce that we are offering 12 PhD Positions for the MSCA ITN
'CAFE: Climate Advanced Forecasting of sub-seasonal Extremes' project.

If you have obtained or are about to obtain a master degree in physics, meteorology,
mathematics, statistics, Earth sciences or similar topics (or if you know of a potential candidate who could be interested), and would like to make a significant contribution to
the knowledge of climate, weather and related challenges, CAFE would like to hear from
you. We look forward to applicants with excellent analytical skills, dedication and
enthusiasm for interdisciplinary research combined with openness and curiosity,
communication capabilities and willingness to contribute to an inspiring and collaborative

** Benefits and Working Conditions.-----------------------------------------------------------------------
The successful candidates will be hired for 36 months, with an attractive salary in
accordance with the MSCA regulations for Early-Stage Researchers. The exact salary
will be confirmed upon appointment and is dependent on the country correction
factor (to allow for the difference in cost of living in different EU Member States and
other countries).

For instance, for an ESR recruited by a Spanish organization, the annual salary will be:
37435€ (living allowance) + 7,200€ (for mobility allowance) + €6,000 (for family
allowance, if married and/or with kids at the time of recruitment) before any
applicable tax and/or deductions for social security.

In addition to their individual scientific projects co-supervised by two organizations in
the CAFE Project, all fellows will enjoy world-class training and networking
opportunities with an interdisciplinary scope, including secondments within the
consortium, a variety of schools and courses as well as funding for an active
participation in conferences and symposia.

** Experience.---------------------------------------------------------------------------------------------------
Candidates must be in the first four years (full-time equivalent research experience) of
their research careers at the time of recruitment and have not been awarded a doctoral
degree. Date of Recruitment means the starting date to feature in the employment
contract. Full-time equivalent research experience is measured from the date when the
researcher obtained the degree entitling him/her to embark a doctorate.

** Mobility.--------------------------------------------------------------------------------------------------------
Candidates must not have resided or carried out their main activity (work, studies, etc.)
in the country of the recruiting partner for more than 12 months in the 3 years immediately before the recruitment date. Short stays such as holidays are not taken into
account. In the case of International Organizations, the eligible researcher must not
have spent more than 12 months in the 3 years immediately prior to the date of
selection in the same appointing international organization.

** Work Location(s).--------------------------------------------------------------------------------------------
Please check the individual description of each of the ESR projects.

** Skills and Qualifications.-----------------------------------------------------------------------------------
- Good level of English, both written and spoken.
- Master degree (or equivalent) prior to the recruitment date, in physics, climate
  science, meteorology, Earth sciences, mathematics, statistics or closely related
- Good programming skills.

** The 12 Phd projects' description.------------------------------------------------------------------------
- ESR1: Rossby wave packets and their role in atmospheric predictability.
  Objectives: To study how the spatio-temporal coherence, length and duration of
                     Rossby wave packets are controlled by the large-scale environment.
                     Also, to analyse the limit of predictability that Rossby wave packets can
  Supervisors: Prof. Marcelo Barreiro (Universidad de la República) and
                    Prof. Cristina Masoller (Universitat Politècnica de Catalunya).
  Host: Universidad de la República, Montevideo, Uruguay.
  For more information please contact:
- ESR2: Statistical laws for Madden-Julian events.
  Objectives: To characterize the Madden-Julian Oscillation (MJO) events in terms of the
                     statistical properties of their lifetime, amplitude and energy. Also, to
                     quantify the influence of climatic factors on these statistical properties
                     and develop a simple model of the MJO as an activation process in order
                     to evaluate its predictability.
  Supervisors: Dr. Álvaro Corral (Centre de Recerca Matemàtica) and
                     Prof. Marcelo Barreiro (Universidad de la República).
  Host: Centre de Recerca Matemàtica, Barcelona, Spain.
  For more information please contact:
- ESR3: Coherent structures in sub-seasonal-scale circulations.
  Objectives: To develop a series of diagnosis tools able to identify and track
                     changes in atmospheric circulation associated with particular events
                     which are known to be relevant for predictability at sub-seasonal scales,
                     specially moving convection structures associated to the Madden-Julian
                     Oscillation but also blockings and waves, as well as their oceanic
  Supervisors: Prof. Emilio Hernández-García (Instituto de Física Interdisciplinar
                      y Sistemas Complejos - Consejo  Superior de Investigaciones Científicas)
                     and Dr. Reik Donner (Potsdam Institut fuer Klimafolgenforschung).
  Host: Instituto de Física Interdisciplinar y Sistemas Complejos, Palma de Mallorca, Spain.
  For more information please contact:
- ESR4: Identification of changes in large-scale weather patters (Grosswtterlagen)
             in Europe.
  Objectives: To analyse weather patterns and their temporal succession. Also, to detect
                     variations due to climate change and validate the hypothesis that changes
                     in the temporal structure of patterns introduce new climatic phenomena
                     such as April-summer and arctic-February in Germany. In addition, to
                     quantify changes in the way how different weather patterns follow each
                     other as well as typical lifetimes of a given pattern and typical sequences
                     of different patterns. Relation with extreme events at sub-seasonal time
                     scale and predictability.
  Supervisors: Prof. Jörg Matschullat (Technische Universitaet Bergakademie Freiberg)
                      and Dr. Hervé Douville (Météo-France).
  Host: Technische Universitaet Bergakademie Freiberg, Freiberg, Germany.
  For more information please contact:
- ESR5: Improving data-based forecasts of ENSO-related extreme weather anomalies
             on lead times of several months.
  Objectives: To analyze regional distributions of daily meteorological variables per
                     season in relevant regions of the globe in order to establish correlations
                     between extreme meteorological anomalies potentially causing losses (at
                    least, temperature and precipitation) and an adequate oceanic-index of El
                    Niño Southern Oscillation (ENSO).
  Supervisors: Prof. Holger Kantz (Max Planck Institute for the Physics of Complex
                       Systems) and Dr. Eberhard Faust (Munich Re).
  Host: Max Planck  Institute for the Physics of Complex Systems, Dresden, Germany.
  For more information please contact:
- ESR6: Extreme weather situations and cascade effects based on European climate
  Objectives: To evaluate links between large-scale weather patterns and severe
                     warm events over Europe on sub-seasonal time scale and, also, to
                     measure current level of predictive skill. In addition, to validate the
                     hypothesis that there are follow-up events (cascades, for example, 
                     heatwaves preceding droughts) and to evaluate the effects of a non-
                     stationary climate on the statistics of extreme weather.
  Supervisors: Prof. Holger Kantz (Max Planck Institute for the Physics of Complex
                       Systems) and Dr. Laura Ferranti (European Centre for Medium-Range
                       Weather Forecasts).
  Host: European Centre for Medium-Range Weather Forecasts, Reading, UK.
  For more information please contact:;
- ESR7: Assessment of seasonal and sub-seasonal variability of stochastic
             properties of atmospheric extreme events.
  Objectives: To determinate the key parameters affecting the stochastic properties of
                     severe atmospheric events (winter extratropica cyclones, hurricanes,
                     typhoons among others) and to estimate annual exceedance probabilities
                     for various event intensities.
  Supervisors: Prof.  Cristina Masoller (Universitat Politècnica de Catalunya) and
                       Prof. Marcelo Barreiro (Universidad de la República).
  Host: Universitat Politècnica de Catalunya, Barcelona, Spain.
  For more information please contact:
- ESR8: Scaling of extreme weather events with stabilized global mean temperature:
             methodological and modeling uncertainties.
  Objectives: To assess the response of extreme weather events for different levels of
                      stabilized global warming, its sensitivity to the experiment design and its
                      amplitude compared to the influence of El Niño Southern Oscillation and
                      Madden-Julian Oscillation variability.
  Supervisors: Dr. Hervé Douville (Météo-France) and
                      Dr. Pascal Yiou (Commissariat à l'énergie atomique et aux énergies
  Host: Météo-France, Toulouse, France.
  For more information please contact:
- ESR9: Multi-layer networks for sub-seasonal prediction.
  Objectives: To combine even synchronization and multi-layer networks reconstructed
                     from multivariate observational and model data in order to explore the
                     predictability of climate regime changes on the sub-seasonal scale.
  Supervisors: Prof. Jürgen Kurths (Potsdam Institut fuer Klimafolgenforschung) and
                      Dr. Florian Pappenberger (European Centre for Medium-Range
                      Weather Forecasts).
  Host: Potsdam Institut fuer Klimafolgenforschung, Berlin, Germany.
  For more information please contact:
- ESR10: Sub-seasonal forecasting of extreme precipitation events using sea surface
              salinity and other sea surface variables as predictors.
  Objectives: To explore different strategies of statistical analysis, from classical methods
                     such as empirical orthogonal functions to more advanced strategies as
                     multi-linear regression and multi-fractal analysis, in order to derive dynamic
                     associations among key variables of the hydrological cycle from ocean to
                     land, especially for extreme events.
  Supervisors: Dr. Álvaro Corral (Centre de Recerca Matemàtica) and
                       Dr. Antonio Turiel (Institut de Ciències del Mar).
  Host: Centre de Recerca Matemàtica, Barcelona, Spain.
  For more information please contact:
- ESR11: Predictability of large-scale atmospheric flow patters over the Mediterranean
              connected to extreme weather.
  Objectives: To reach a better understanding of the predictability of large-scale flows
                     patterns over the Mediterranean in sub-seasonal (monthly) forecasts, and
                     its connection to extreme weather.
  Supervisors: Prof. Jörg Matschullat (Technische Universitaet Bergakademie Freiberg)
                       and Dr. Linus Magnusson (European Centre for Medium-Range
                      Weather Forecasts).
  Host: European Centre for Medium-Range Weather Forecasts, Reading, UK.
  For more information please contact:;
- ESR12: Ensemble weather predictability with stochastic weather generator based
              on analogues of circulation.
  Objectives: To explore the conditions of predictability of regional surface meteorological
                     variables (temperature, precipitation) with stochastic weather generator of
                     analogues of atmospheric circulation.
  Supervisors: Dr. Pascal Yiou (Commissariat à l'énergie atomique et aux énergies
                       alternatives) and Dr. Céline Déandreis (ARIA Technologies).
  Host: Aria Technologies, Paris, France.
  For more information please contact:

** How to Apply.-------------------------------------------------------------------------------------------------
For any ESR position, please follow the instructions at:

** Selection Process.-------------------------------------------------------------------------------------------
An eligibility screening will take place for every application. Applicants who do not appear
to comply with MSCA-ITN mobility and/or career stage eligibility requirements will be
asked to prove them in a maximum of 7 days. Applicants who cannot demonstrate their
eligibility will be notified by CAFE Recruitment Committee and excluded from selection.
Each hosting organization will form a gender-balanced selection panel that will include
the supervisors and co-supervisors for each project. This panel will grade each eligible
application according to the essential and desirable criteria listed in the job description.
Shortlisting will take account of research experience, and consider all information
provided in the CV and cover letter. A minimum of two short-listed candidates will be
invited to an interview (tel-co) by the panel. The reserve candidates will be notified of
their results by the Recruitment Committee.

***!!! We anticipate interviews will be conducted in the last week of May. !!!***

Candidates will be ranked by each selection panel, including a list of reserve candidates.

Candidates will be informed of the final outcome by the hosting organisation as soon as
possible after the selection process has concluded. Top candidates could be invited for a
visit to the host to discuss the offer. Feedback will be made available on request.

** General Data Protection Regulation (GDPR).---------------------------------------------------------
The CAFE consortium will process data collected from the applicants for recruitment
purposes only, according to principles of the GDPR EC current regulations. No CVs,
neither cover letters, or other data will be shared outside the network or for other
purposes than those described in the selection process below, unless upon authorisation
from the interested applicant. The data will be kept for a period of five years after the
end of the project for the purpose of an audit by the EU.

Best regards,

Centre de Recerca Matemàtica
Campus de Bellaterra, Edifici C
08193 Bellaterra (Barcelona)
Tel.: + 34 93 581 10 81
Fax: + 34 93 581 22 02

Albert Ossό
Research Scientist, NCAS-Climate
Harry Pitt, Office 282
University of Reading
Reading, RG6 6BB
Tel: +44(0) 118 378 5214

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