Two PhD positions in the field of climate dynamics and earth system modelling (1.0 FTE)
Would you like to be part of the EU-funded H2020 Innovative Training Network (ITN) “Multiscales and Critical Transitions in the Earth System" (Critical Earth)?
- Domplein, Utrecht, Utrecht
- Tijdelijk contract / Tijdelijke opdracht
- Uren per week:
- 38 - 40 uur
- € 2395 - € 3061 per maand
The CriticalEarth Project
Several subsystems of the Earth, so-called tipping elements, may respond abruptly at critical future levels of anthropogenic forcing. It is paramount to identify safe operating spaces in terms of these critical forcing levels, in order to prevent harmful transitions to alternative, undesirable states of the Earth and its subsystems. The mechanisms leading to climate transitions are only partly understood, and reliable warning signals for forthcoming transitions are urgently needed. CriticalEarth addresses these questions in a joint effort of 19 European institutions, combining paleoclimatology, time series analysis, Earth system modelling of past and future climates, applied mathematics and specifically dynamical systems theory.
The CriticalEarth consortium consists of universities and private entities with Researchers who are leading experts on climate dynamics and applied mathematics. The research training is composed of an ambitious scientific programme flanked by essential training courses with ample opportunity for networking at workshops, conferences and shared secondments. In addition to training young Researchers for tomorrow's challenges, CriticalEarth will provide excellent research with impressive scientific and societal impact from day one.
Detailed task description
- The successful candidate will be an Early Research Scientist (ESR-6) within the CriticalEarth project and will focus on the development of new methods to calculate rare events in high-dimensional climate models. Probabilities of rare events, and in particular of transitions between different equilibrium states of a certain multi-stable stochastic system, are often very difficult to compute. Standard Monte Carlo methods, i.e. by computing a large number of samples, and then counting the number of observed transitions, are not feasible when probabilities are small. Therefore, specialized methods, such as Trajectory-Adaptive Multilevel Sampling (TAMS) have been developed. The idea behind these methods is similar: the algorithms try to push samples in the direction of the transition to make sure transitions actually occur, also for smaller sample sizes, while still being able to compute the transition probability. In this project, you will work on refining a recently developed TAMS variant for high-dimensional dynamical systems. The novel method will be applied to a hierarchy of climate models and focus on several tipping elements.
- The successful candidate will be an Early Research Scientist (ESR-7) within the CriticalEarth project and will focus on the behaviour of the climate system due to the interaction of several tipping elements. Linkages between tipping elements have been proposed but it remains difficult to quantify thresholds for the occurrence of cascading tipping behaviour. Only recently, coupled tipping elements have been investigated using two tipping elements, which are linearly and uni-directionally coupled. This has also been extended to networks of bistable systems which are bi-directionally coupled. In order to study the occurrence and processes causing the cascading behaviour in the climate system, three tracks will be followed: (i) extend current theory for low-dimensional climate models to include stochastic noise and non-autonomous effects, (ii) couple intermediate complexity climate models of specific climate tipping elements as mentioned above and study the effect of the coupling on the bifurcation behaviour of the coupled system, and (iii) simulate cascading tipping phenomena in a CMIP6 coupled climate model (CESM2) and investigate the behaviour and the processes responsible.
We are looking for an ambitious and driven candidate who has:
- an MSc in physics, applied mathematics, meteorology, geosciences or a related field;
- experience in climate modelling (considered an advantage);
- a basic knowledge of (geophysical) fluid dynamics (considered an advantage);
- excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data.
- the opportunity to work in and with a team of leading experts;
- a full-time position for 4 years;
- a full-time gross salary that starts at €2,395 and increases to €3,061 per month in the fourth year (scale P of the Collective Labour Agreement Dutch Universities (cao));
- benefits including 8% holiday bonus and 8.3% end-of-year bonus;
- a pension scheme, partially paid parental leave, and flexible employment conditions based on the Collective Labour Agreement Dutch Universities.
In addition to the employment conditions laid down in the cao for Dutch Universities, Utrecht University has a number of its own arrangements. For example, there are agreements on professional development, leave arrangements and sports. We also give you the opportunity to expand your terms of employment yourself via the Employment Conditions Selection Model. This is how we like to encourage you to continue to grow.
ore information about working at the Faculty of Science can be found here.
- The selection will be exclusively based on qualification without regard to gender, religion or national origin.
- Disabled applicants with comparable qualifications will be given preference.
- Applicants must not have resided and not have carried out their main activity (work, studies, etc.) in the Netherlands for more than 12 months in the 3 years immediately preceeding the recruitment date — unless as part of a procedure for obtaining refugee status under the Geneva Convention.
- The applicant must be an Early Stage Researcher (ESR) i.e. at the time of recruitment he/she must be in the first 4 years (full-time equivalent research experience) of his/her research career and must not have been awarded a doctoral degree.
- Candidates should be able to demonstrate motivation and a strong eagerness to learn, and have the ability to work both independently and as part of a team. Previous research experience will be a distinct advantage. All fellows must be willing to travel and will be required to complete international secondments.
If you have any questions regarding the position, please contact:
Do you have a question about the application procedure? Please send an email to firstname.lastname@example.org.