First Stage Researcher (R1) in Climate Science, Atmospheric and Oceanic Sciences, Meteorology, Non-Linear Physics, Data Science Centre de Recerca Matemàtica Spain

CAFE: Climate Advanced Forecasting of
sub-seasonal Extremes

RESEARCH FIELD Climate Science, Atmospheric and Oceanic
Sciences, Meteorology, Non-linear Physics,
Data Science, Complex Systems
RESEARCHER PROFILE First Stage Researcher (R1)
APPLICATION DEADLINE 20th May 2019- 5pm Brussels time
LOCATION Multiple locations across the consortium (see
work locations below)
JOB STATUS Full-time
HOURS PER WEEK Between 35 and 40h (to check with the
recruiting organization)
OFFER STARTING DATE June -October 2019
H2020 / Marie Skłodowska-Curie Actions /
GA 813844

The CAFE: Climate Advanced Forecasting of sub-seasonal Extremes
consortium is seeking highly motivated and qualified Early-Stage
Researchers (ESRs) for 12 open PhD positions.
The ultimate goal of the CAFE project is to improve the sub-seasonal
predictability of extreme weather events through the interdisciplinary
training of 12 ESRs in aspects such as climate science, complex networks and
data analysis. Climate extremes such as heat waves, drought, extreme
precipitation or cold surges have huge social and economic impacts that are
expected to increase with climate change. Forecasting of such extreme events
on the sub-seasonal time scale (from 10 days to about 3 months) is very
challenging because of the poor understanding of phenomena that may
increase predictability at this time scale, such as the Madden-Julian
Oscillation, planetary waves and atmospheric blockings. Reliable subseasonal climate information is of great importance, allowing for early
warnings and adequate mitigation strategies. The World Meteorological
Organization World Weather Research Programme and World Climate
Research Programme acknowledge the importance of sub-seasonal forecasts
by running the Sub-seasonal to Seasonal Project.

The CAFE consortium is formed by ten partners recruiting and hosting

• Centre de Recerca Matemàtica, Spain.
• Potsdam Institut fuer Klimafolgenforschung, Germany.
• Max-Planck-Gesellschaft zur Forderung der Wissenschaften e.V.,
• Technische Universitaet Bergakademie Freiberg, Germany.
• Consejo Superior de Investigaciones Científicas, Spain.
• Universitat Politècnica de Catalunya, Spain.
• Universidad de la República, Uruguay.
• Météo-France, France.
• Aria Technologies, France.
• European Centre for Medium-Range Weather Forecasts, International
Organization (Reading Head Quarters, United Kingdom).
Plus a number of partners collaborating in training at diverse levels, such as:
• Commissariat à l'énergie atomique et aux énergies alternatives,
• Munich Re, Germany.
• Servei Meteorològic de Catalunya, Spain.
• Predictia, Spain.

If you have obtained or are about to obtain a master's degree in physics,
meteorology, mathematics, statistics, Earth sciences or similar topics, 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 community.

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.

Eligibility Criteria

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.

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

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

How to Apply
For any ESR position, please follow the instructions at CAFE Application

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 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.

ESR – PhD Project Descriptions
• ESR1: Rossby wave packets and their role in atmospheric
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 provide.
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 subseasonal scales, specially moving convection structures associated to
the Madden-Julian Oscillation but also blockings and waves, as well as
their oceanic counterparts.
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: Consejo Superior de Investigaciones Científicas - Instituto de
Física Interdisciplinar y Sistemas Complejos, Palma de Mallorca,
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 arcticFebruary 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,

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
Physicsof 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 patterns.
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 nonstationary 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 alternatives).
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 subseasonal 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
Supervisors: Dr. Álvaro Corral (Centre de Recerca Matemàtica) and
Dr. Antonio Turiel (Consejo Superior de Investigaciones Científicas -
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
Host: Aria Technologies, Paris, France.
For more information please contact:
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.

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