Faculty Position, Numerical Methods for Large-Scale Inverse Problems and Data Assimilation, KU Leuven, Belgium
ILAS-NET
Editor: Sarah Carnochan Naqvi
Address: ilasic@uregina.ca
2021 June 15 ILAS-NET Message No. 2348
CONTRIBUTED ANNOUNCEMENT FROM: Wim Michiels
SUBJECT: Faculty position, KU Leuven, Belgium
Faculty Position, Numerical Methods for Large-Scale Inverse Problems and Data Assimilation, KU Leuven, Belgium
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. For further details, contact information and the application procedure follow the link:
