Short bio

Benjamin Sanderse works as a tenure track researcher in the Scientific Computing group of Centrum Wiskunde & Informatica (CWI), the Netherlands national research institute for mathematics and computer science in Amsterdam.

Trained as aerospace engineer and with a doctorate in numerical mathematics, I’m passionate about solving complex problems at the interface between top-level scientific research and challenging real-life applications.

I have extensive experience in (computational) fluid dynamics, differential equations, and uncertainty quantification from working in academia, at research institutes and in industry. Recently my interest lies in the smart integration of data with physical models, through development of techniques such as reduced order models, Bayesian calibration, and machine learning algorithms.

Benjamin Sanderse

Positions

  • present2016

    Tenure track researcher CWI Amsterdam

    Amsterdam, the Netherlands

  • 20182013

    Flow assurance researcher Shell Global Solutions

    Amsterdam, the Netherlands

  • 20102010

    Visiting researcher

    NREL, Colorado, USA

  • 20132008

    PhD candidate: computational fluid dynamics for wind-turbine wake simulation

    ECN Petten; CWI Amsterdam; Eindhoven University of Technology

  • 20082002

    Master of Science, Aerospace Engineering

    Delft University of Technology

The Scientific Computing group at CWI

Stable reduced-order models for fluid flows

Reduced-order models are used widely to make fluid flow simulation computationally tractable for example for the purpose of real-time control [...]

Quantifying uncertainty in fatigue loads on offshore wind turbines

When designing wind turbines, it is necessary to give proof that the turbine will be able to withstand the environmental […]

Uncertainty in sloshing with new adaptive sampling techniques

Sloshing of liquefied natural gas (LNG) in large transport tankers is an important issue that limits the operational envelope of […]