About
Coordination
Marieke van der Wegen (coordinator)
Anita van der Laan (student affairs)
| Address | Contact information |
| Korteweg-de Vries Instituut Science Park 107 PO Box 94248 1090 GE Amsterdam |
Email: contact@mastermath.nl Phone: 020 - 525 8607 |
Executive Board
| Prof. Dr. Gil Cavalcanti | Universiteit Utrecht |
| Dr. Bodo Manthey | Universiteit Twente |
Board / RegieOrgaan
| Dr. Martin Bright | Universiteit Leiden |
| Dr. Robert Planque | Vrije Universiteit Amsterdam |
| Prof. Dr. Anton Stoorvogel | Universiteit Twente |
| Dr. Andrea Fuster | Technische Universiteit Eindhoven |
| Prof. Dr. Martin van Gijzen | Technische Universiteit Delft |
| Dr. Wioletta Ruszel | Universiteit Utrecht |
| Prof. Dr. Stephan Trenn | Rijksuniversiteit Groningen |
| Dr. Stefanie Sonner | Radboud Universiteit Nijmegen |
| Dr. Jan Brandts | Universiteit van Amsterdam |
Research Networks
The Mastermath programme is determined by the teaching directors of the participating mathematics programme in collaboration with several national research networks. Some of these networks organise other activities for students, and provide information on local courses (outside Mastermath) in their research area. See the links below for more information. Note that you might need permission of your own programme if you want to get credit for these courses or activities.
The networks
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Diamant has a focus on discrete, combinatorial and algorithmic mathematics. Its main fields of interest lie within optimization, scheduling, algebra, geometry, number theory and cryptology. Website.
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GQT. Website, and list of local master courses.
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LNMB focuses on the mathematical aspects within Operations Research. Website, master courses.
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Logic studies classes (and categories) of mathematical structures which are definable in some formalism; and it studies the relationships between those categories and the defining formalism. Website for students coming soon.
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NDNS+ focuses on the emergence of patterns in natural (nonlinear) systems. Website, and list of local master courses.
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Scientific Computing is a rapidly growing field, providing mathematical methods and software for computer simulations in a wide variety of application areas, from particle simulations for the study of protein folding to mesh calculations in climate change prediction. The area is highly interdisciplinary, bringing together methods from numerical analysis, high-performance computing, and application fields.
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STAR stands for Stochastics — Theoretical and Applied Research. Website.