Cheng, X
meng

Current vacancies at SACS:



2 PhD positions PACOF (Predictive Avatar Control and Feedback)
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We offer two four-year PhD positions funded by the University of Twente’s Predictive Avatar Control and Feedback (PACOF) project.

 P2-  deals with establishing a mathematical framework based on profound tools, such as model predictive control and modern tracking approaches.


Vacancy for  Assistant/Associate professor in Mathematical Theory of Uncertainty Quantification
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Are you a highly motivated researcher with an outstanding track record in Mathematics and its Applications in Science and Engineering? We offer a position in Numerical Analysis and Scientific Computing within the Department of Applied Mathematics (AM) at the University of Twente (UT). We are looking for a highly committed research scientist whose focus is on the Mathematical Theory of Uncertainty Quantification. This also includes inverse problems, model sparsity and uncertainty, stochastic partial differential equations, and shape uncertainty.


Vacancy for Assistant/Associate professor in Numerical Analysis and Scientific Computing
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Are you a highly motivated researcher with an outstanding track record in Mathematics and its Applications in Science and Engineering?
We offer a position in Numerical Analysis and Scientific Computing within the Department of Applied Mathematics (AM) at the University of Twente (UT).


PhD in Numerical Analysis
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The group Mathematics of Computational Science has a vacancy for a Ph.D. student to work on a breakthrough development in the numerical analysis of eigenvalue problems for Maxwell’s equations. The objective of the project is to develop novel numerical methods for solving large eigenvalue problems for 3D Maxwell’s equations to understand the optical properties of finite-size photonic crystals. Taking carefully into account the geometry of the considered photonic crystals, we will work on improved, size-independent approximations that, for the first time, allow the simulation of large, realistic crystals.


PhD position in Deep Learning for Medical Image Analysis
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In this position, you will develop machine learning techniques to bridge the gap between 3D model extraction from medical images and downstream applications. This requires the development of new geometric deep learning approaches that operate on 3D shape representations such as triangular meshes. You will work at the intersection of mathematics, computer science, artificial intelligence, and physics.

The successful applicant will join the Applied Analysis group of the Department of Applied Mathematics at the Faculty of Electrical Engineering, Mathematics and Computer Science.

Current vacancies at DAMUT: