Research fellow (PhD candidate) in seasonal climate prediction [closing 28.02.2021]

Страна: Норвегия;

Город: Bergen

Добавлена: 25.01.2021

Работодатель: Geophysical Institute, University of Bergen

Тип: PhD position;

Для кого: For researchers;

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Дедлайн подачи: 28.02.2021


There is a vacancy for a PhD position in seasonal weather prediction at the Geophysical Institute, University of Bergen. The position is for a fixed-term period of 3 years with the possibility of a 4th year with compulsory other work (e.g., teaching duties at the Institute). The position is associated with the research group in climate dynamics at the Geophysical Institute and the Bjerknes Centre for Climate Research.

About the project/work tasks:

The PhD will be a part of the Centre for Research-based Innovation - Climate Futures ( funded by the Norwegian research council. Climate Futures is a new and ambitious project set up to generate long-term cooperation between companies, public organizations and research groups across sectors and disciplines to tackle one of the most urgent challenges of our time: the changing nature of weather and climate poses a severe threat to the prosperity and well-being of our economy and society as a whole. However, climate risk is inadequately managed due to knowledge gaps and deficiencies in the decision-making processes of businesses and public authorities. Climate Futures aims to advance climate risk management and its underlying knowledge.

Central to these advancements is development of user-oriented climate predictions for longer time horizons than familiar weather forecasts, from 10 days to 10 years ahead in time (subseasonal-to-decadal). However, their skilfulness and usefulness remain a ‘grand challenge’ of climate prediction. A wide range of methods for recalibration and strategies for multi-model combination of numerical forecasts have been shown to have a potential to increase forecast skill.

The task of this PhD position is to explore new methods for optimal use of seasonal forecasts, by investigating the possibility of using new innovative statistical and machine learning approaches for user-oriented seasonal forecasts with input from available dynamical seasonal forecast simulations.  

Focus will be on seasonal precipitation related forecasts in northern Europe.

  • The candidate will start by investigating the reliability and accuracy of selected state-of-the-art numerical seasonal predictions systems available from the Copernicus Climate Change Service (C3S).
  • Next, familiarize with methods for seamless recalibration between historical and real-time seasonal predictions, as well as multi-model combination strategies.
  • The candidate will further investigate strategies for using machine learning to develop a hybrid system that couples dynamical climate predictions and efficient machine learning algorithms to perform seasonal forecasting.
  • The candidate will evaluate the added value of such hybrid systems compared to more traditional approaches.

The work will be done in interaction and collaboration with research, operational departments, and stakeholders in Climate Futures and the candidate will work in a highly international working environment as part of the Bjerknes Centre for Climate Research (BCCR) and the Geophysical Institute, University of Bergen. BCCR is the largest climate research centre in the Nordic countries and among the leading centres in Europe with around 200 scientists from 37 countries. As a PhD the candidate will also be part of the national research school on changing climates in the coupled earth system (CHESS) which offers a wide variety of PhD courses.

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