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Bayi Glacier in Qilian Mountain, China (Credit: Xiaoming Wang, distributed via

Job advertisement Faculty position Numerical Methods for Large-Scale Inverse Problems and Data Assimilation

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European Geosciences Union

Faculty position Numerical Methods for Large-Scale Inverse Problems and Data Assimilation

Faculty position Numerical Methods for Large-Scale Inverse Problems and Data Assimilation

KU Leuven logo

KU Leuven

KU Leuven ranks highly in various global listings, has a strong reputation in all academic fields, and has been praised for several years now as Europe’s most innovative university. We provide financial support for both fundamental and applied research projects. Our well-developed Research Coordination Office assists on an individual basis developing your research strategy, securing external research funding and managing your research projects.


Leuven, Belgium


Relevant divisions
Climate: Past, Present & Future (CL)
Earth and Space Science Informatics (ESSI)
Nonlinear Processes in Geosciences (NP)

Full time



Required education

Application deadline
11 October 2021

21 June 2021

Job description

The research unit NUMA, Department of Computer Science, KU Leuven, invites applications for a full-time faculty position. The research unit covers many aspects of numerics, including approximation theory, numerical integration, numerical (multi)linear algebra, numerical PDEs, uncertainty quantification, optimization and control, discrete optimization and scheduling, network problems, data science, HPC and applied numerical mathematics.
The recent surge in advanced techniques for data acquisition gives rise to computational tasks of a complexity far beyond numerical simulation as integrating measurement data in complex models requires specific numerical algorithms. In the simplest setting, finding the “best” model parameters given some measurement data is an optimization problem. However, demands of practical applications often go far beyond this optimization: one can, for instance, also be interested in quantifying the uncertainty on the resulting optimum, the remaining modeling error with respect to the physical system, or the evolution of the model as a function of time (if data is continuously gathered).
The new faculty position aims to strengthen NUMA’s position in scientific computing towards a data rich environment. The successful candidate is expected to develop a research program in inverse problems and data assimilation, ensure high-quality education within the area of mathematical engineering, and be prepared to provide scientific, social and administrative services.

How to apply

For details, contact information and the application procedure follow the link: