Twelve PhD Positions in Climate Advanced Forecasting

  • Full Time
  • Anywhere

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 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.

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 disciplines. – 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 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: <barreiro@fisica.edu.uy> ———————————————————————————————————————- – 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: <acorral@crm.cat> ———————————————————————————————————————- – 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 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: Instituto de Física Interdisciplinar y Sistemas Complejos, Palma de Mallorca, Spain. For more information please contact: <emilio@ifisc.uib-csic.es > ———————————————————————————————————————- – 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: <matschul@tu-freiberg.de> ———————————————————————————————————————- – 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: <kantz@pks.mpg.de> ———————————————————————————————————————- – 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 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: <Laura.Ferranti@ecmwf.int>; <kantz@pks.mpg.de> ———————————————————————————————————————- – 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: <ristina.masoller@upc.edu> ———————————————————————————————————————- – 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: <herve.douville@meteo.fr> ———————————————————————————————————————- – 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: <kurths@pik-potsdam.de> ———————————————————————————————————————- – 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: <acorral@crm.cat> ———————————————————————————————————————- – 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: <Linus.Magnusson@ecmwf.int>; < matschul@tu-freiberg.de> ———————————————————————————————————————- – 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: <cdeandreis@aria.fr> ———————————————————————————————————————-

How to Apply.————————————————————————————————- For any ESR position, please follow the instructions at: <http://www.crm.cat/en/Pages/CAFEProject.aspx>

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.