Computational Science and Engineering

The four-year structured PhD programme in Computational Science and Engineering is an internationally oriented programme. A PhD programme at the University of Twente can be started throughout the year. Read more about the related Master's programmes in Applied Mathematics, Applied Physics, Chemical Engineering, or Mechanical Engineering if you have yet to start a Master of Science programme. Read about the programme from a student's perspective in the testimonial

During the past decades Computational Science and Engineering has become an increasingly important component in understanding and controlling the key mechanisms in the natural, biological, and technical sciences. This interdisciplinary and multi-disciplinary field of research consists of the combination of mathematical and physical modeling and analysis, large-scale simulations, and the development as well as application of accurate high-performance computational algorithms. One of the major future challenges in Computational Science and Engineering concerns the design and analysis of methods in which physical, chemical and biological processes at a wide range of length- and time-scales are simultaneously and consistently integrated.

Programme overview

Contact
Prof. dr. Stefan Luding
Msc
2 years
PhD
4 years
Language
English

Computational Science and Engineering programme

The Computational Science and Engineering programme will provide the academic context for interested, successful researchers in the wider field, combining aspects of mathematics, physics, chemistry, mechanics and computer science. Many of the applications require a deep understanding of nonlinear phenomena, their interactions at various scales and sensitivity of model predictions. That line of issues is also reflected in the design of the course-programme, with full embedding in the MSc programmes in Applied MathematicsApplied PhysicsChemical Engineering and Mechanical Engineering.

Main challenges in Computational Science and Engineering 

The main challenges to teaching and research in Computational Science and Engineering are:

  • to arrive at a systematic ‘first principles’ approach to modeling, simulation, analysis and control of complex, nonlinear, dynamic behavior with particular attention to problems evolving on many length- and time-scales simultaneously;
  • to include and interpret the full variety of interacting physical mechanisms that govern the multiple physical processes taking place, as well as their coarsened approximations in heterogeneous multiscale formulations;
  • to combine and thus achieve leading capability in high-performance computing and highly accurate numerical methods;
  • to apply computational modeling methods to multi-disciplinary problems of factual practical relevance, linked to a variety of problems and applications in the natural-, biological- and technical sciences and in engineering.

Teaching and training of the students will integrate key courses from the contributing Master of Science programmes to provide a solid basis for a successful research attitude. Furthermore, one of the activities is the M&M Computational Science and Engineering Lecture series for which all Master’s and PhD students are invited to join the research staff.

See also the Twente Centre for Computing.