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



Research interests

  • Uncertainty quantification
  • Incompressible Navier-Stokes equations and energy conserving methods for accurate turbulent flow simulations
  • Reduced order models
  • Time integration methods for differential-algebraic equations
  • Multiphase flow in reservoirs, wells, and pipelines
  • Wind energy and wind turbine wakes

Current projects

Uncertainty quantification in aeroelastic wind turbine models (WindTRUE)

WindTRUE is an RVO-sponsored project within TKI Wind op Zee aimed at calibrating aeroelastic BEM models used for wind turbine design. We will use the DanAERO measurement data (IEA Task 29) to perform the calibration. This is a joint project with ECN.TNO, DNV GL and Suzlon.

Uncertainty reduction in offshore wind farms (EUROS)

EUROS is an STW project aimed at quantifying and reducing uncertainties in offshore wind farms, in order to reduce conservatism in design, optimize the power output, reduce maintenance, and better understand loading on the turbines.
Joint work with TU Delft, TU Eindhoven, Wageningen University, several research institutes and industrial partners.
Offshore windfarm OWEZ. B. Sanderse, 2016.




Sloshing of LNG in tankers (SLING)

SLING is an STW project aimed at understanding sloshing in LNG tankers, especially impact loads, and optimizing design.
Joint work with TU Delft, TU Eindhoven, UT Twente, University of Groningen, Marin and industrial partners.
LNG tanker. Source:




Multiphase flow in pipelines

Shell-CWI project.


Open, ongoing and previous thesis projects