| Research Area | Topic | Professor | Description | Deadline |
| Applied and computational mathematics | Randomized linear algebra for data analysis and complex simulations | Prof. Laura Grigori | In the context of the ERC Synergy project EMC2, the focus of this PhD will be on using randomization techniques for solving large scale linear algebra problems arising in data analysis and complex simulations. More information here. | December 15, 2023 |
| Research Area | Topic | Professor | Description | Deadline |
| Algebra and Number Theory & Geometry and Topology | Geometric Representation Theory | Prof. Andrei Neguț | We seek PhD candidates to work on a web of interrelated problems pertaining to moduli spaces of sheaves, Nakajima quiver varieties, infinite-dimensional Lie algebras (and their q-deformations) and shuffle algebras. This area of research involves aspects from several fields of mathematics, including algebraic geometry, representation theory, combinatorics and mathematical physics. For contact: here. | September 15, 2024 |
| Research Area | Topic | Professor | Description | Deadline |
| Applied and computational mathematic | Numerical Modelling and Simulation | Prof. Annalisa Buffa | For the project « FLASh: Fast simulation tools for LAttice Structures », funded by the Swiss National Science Foundation, we are opening a doctoral position for developing lightning fast algorithms for simulating and optimizing the behavior of architected materials using finite element techniques. You will have the opportunity to work on the design and implementation of mathematically sound methods for the fast simulation and optimization of architected materials combining techniques such as unfitted finite element methods, domain decomposition, reduced order modeling, or isogeometric analysis. Contact: [email protected] | September 15, 2024 |
| Research Area | Topic | Professor | Description | Deadline |
| Applied and computational mathematic | Reduced order models and fast computational tools for domestic heat pump simulation and design | Prof. Fabio Nobile | A PhD position may be available in the Chair of Scientific Computing and Uncertainty Quantification (CSQI) on the development of reduced order models, fast simulation tools, uncertainty propagation, and robust optimization techniques for the design of domestic heat pumps driven by gas-bearing small scale turbocompressors. The project is in collaboration with the Laboratory for Applied Mechanical Design (LAMD) and the Automatic Control Laboratory (LA3) at EPFL. webpage: https://www.epfl.ch/labs/csqi/page-70214-en-html/ | September 15, 2024 |