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As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and more than 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe—creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation.
Many of the most challenging problems in science and engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes are governed not only by differential equations, but also by geometric constraints, conservation laws, symmetries, and interactions across multiple spatial and temporal scales. Developing mathematical representations that faithfully preserve this structure is one of the central challenges in modern scientific computing.
At Eindhoven University of Technology, we are launching a new research programme that aims to develop the mathematical foundations for next-generation Digital Twins: computational representations of physical systems that preserve geometric structure, physical consistency, and mathematical invariants throughout their evolution. Our vision combines ideas from differential geometry, numerical analysis, scientific computing, dynamical systems, and applied mathematics to develop new mathematical frameworks for representing, compressing, and computing with complex physical systems. The project is carried out in close collaboration with researchers in Electrical Engineering working on emerging memory architectures and novel computing paradigms, providing a unique opportunity to contribute to mathematics with a clear technological impact.
We are recruiting two complementary postdoctoral researchers to join this programme. While both positions contribute to the same overarching research vision, candidates may have expertise in different areas of mathematics.
One position will focus primarily on geometric and structure-preserving methods for mathematical models of physical systems, including topics such as geometric numerical integration, finite-volume and finite-element methods, variational formulations, structure-preserving discretisations, optimal transport, and the numerical analysis of partial differential equations.
The second position will focus primarily on the geometric representation of complex data and physical systems, including topics such as differential geometry, invariant theory, algebraic and metric geometry, symmetry, geometric data analysis, and infinite-dimensional geometric structures.
The two postdoctoral researchers will work closely together, together with professors Rafael Bailo and Mireille Boutin, to develop mathematical theories that connect geometric models of physical systems with new computational representations suitable for Digital Twins and future computing architectures. The project offers substantial freedom to develop original mathematical ideas while contributing to a coherent long-term research programme at the interface of geometry, analysis, scientific computing, and computational mathematics.
The two postdoctoral researchers will be expected to undertake a modest teaching load.
We are looking for outstanding researchers who are excited by fundamental mathematical questions motivated by real-world scientific and technological challenges.
You have:
Experience in one or more of the following areas is an advantage:
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.
Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.
As one of the largest and most dynamic academic communities in the Netherlands, the department Mathematics and Computer Science (M&CS) brings together more than 140 scientific staff, over 250 PhD and EngD candidates, and more than 3000 students. We collaborate closely with leading industrial partners in the Brainport Eindhoven region and with universities across the globe—creating a uniquely fertile environment for both fundamental breakthroughs and applied innovation.
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring managers Prof. Rafael Bailo ([email protected]) or Prof. Mireille Boutin ([email protected]).
Visit our website for more information about the application process. You can also contact HR Services ([email protected]).
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
We invite you to submit a complete application using the apply-button. The application should include a:
Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
We are an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude.
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