Description

Leader of the group Scientific Computing: Daan Crommelin.

The SC groups develops efficient mathematical methods to simulate and predict real-world phenomena with inherent uncertainties. Such uncertainties arise from e.g. uncertain model parameters, chaotic dynamics or intrinsic randomness, and can have major impact on model outputs and predictions. Our work is targeted in particular at applications in climate, energy, finance and biology. In these vital areas, the ability to assess uncertainties and their impact on model predictions is of paramount importance. Expertise in the SC group includes uncertainty quantification, data assimilation, stochastic multiscale modeling and risk assessment. The availability of data to inform and improve simulations and predictions, for example through learning and data-driven modeling, plays an important role in our research.

 

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Vacancies

PhD students, in mathematics, physics, astronomy and computer science on the subject of Unravelling Neural Networks with Structure-Preserving Computing (UNRAVEL)

Centrum Wiskunde & Informatica (CWI), Eindhoven University of Technology (TU/e) and Leiden University (UL) have 6 vacancies within the recently approved NWO-ENW (Science domain) Groot project UNRAVEL for talented PhD students, in mathematics, physics, astronomy and computer science on the subject of Unravelling Neural Networks with Structure-Preserving Computing (UNRAVEL)

News

In Memoriam Piet Hemker

In Memoriam Piet Hemker

With sadness we announce that CWI Fellow and former CWI researcher Piet Hemker passed away on 27 May. Hemker had been working at CWI from 1970–2006 and since 1989 also as a professor at the UvA. He has been a CWI Fellow since 2001 and was named Knight in the Order of the Netherlands Lion in 2006.

In Memoriam Piet Hemker - Read More…

Members

Associated Members

Publications

Current projects with external funding

  • Valuation Adjustments for Improved Risk Management (ABC-EU-XVA)
  • Physics based ICT: The digital twin in pipelines (DP-Trans)
  • Dronesurance
  • Sloshing of Liquefied Natural Gas: subproject Variability (14-10-project2) (SLING)
  • Unravelling Neural Networks with Structure-Preserving Computing (Unravelling Neural Networks)
  • Verified Exascale Computing for Multiscale Applications (VECMA)
  • WIND Turbine Rotor aeroelasticity UncErtainty quantification (WINDTRUE)

Related partners

  • DNV GL Netherlands B.V
  • Max Planck Institute for Informatics
  • Bull Sas
  • CBK Sci Con Ltd
  • Bayerische Akademie der Wissenschaften
  • Maritiem Research Instituut
  • MeitY
  • Instytut Chemii Bioorganicznej Polskiej Akademii Nauk
  • Rijksuniversiteit Groningen
  • Suzlon Blades Technology
  • TNO
  • Technische Universiteit Eindhoven
  • Technische Universiteit Delft
  • Brunel University London
  • University College London
  • Universiteit Leiden
  • Universiteit van Amsterdam