assimilation
Have you ever wondered how weather forecasts are produced? Are you an applied mathematician who wants to work on practical problems with wide-ranging impact? Are you interested in using linear algebra to improve the robustness and efficiency of algorithms that are used daily in weather centres?
Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Mathematics and Computer Science
FTE
1,0
Date off
06/04/2024
Reference number
V32.7274
Job descriptionData assimilation (DA) techniques allow users to estimate the state of a dynamical system at a given time by combining information from measurements with numerical models. A key application of DA is within numerical weather prediction, and elsewhere in geosciences, where estimates of the current state of the atmosphere and ocean are used as initial conditions for e.g. weather forecasts. DA also forms an important research field within applied mathematics. One important subproblem within variational DA involves the solution of extremely high-dimensional linear systems within a very limited computational budget/wallclock time, typically using iterative methods. These extreme time constraints also lead to an unusual mathematical setting compared to general iterative methods – as very few iterations are performed, improvement in early iterations is vital.
This project will focus on a particular DA method (weak-constraint 4D-Var) which can be reformulated in a number of ways to reveal different aspects of the underlying structure of the problem. In this project you will:
The balance of these subprojects will depend on the interest of the student.
Possible specific research directions include:
It is not expected that you know much about data assimilation yet, but you should have an interest in learning more. There may be opportunities for you to attend external data assimilation training, and engage with researchers at meteorological agencies (e.g. the Met Office, Cerfacs). You will join the Computational Science group (https: // casa.win.tue.nl/home/computational- science/), and be an active member of the Centre for Analysis, Scientific Computing and Applications (https: // casa.win.tue.nl/home/).
Job requirementsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
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Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr Jemima Tabeart at [email protected].
Visit our website for more information about the application process or the conditions of employment. You can also contact [email protected].
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Application
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.