| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Randomized numerical linear algebra in scientific computing | Prof. Daniel Kressner | Research on theory and algorithms, pushing the scope of randomized numerical linear algebra in scientific computing applications and beyond. | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Statistics | Mathematical Statistics | Prof. Victor Panaretos | The envisioned research projects fall within the broad theme of statistical analysis for/with random functions, measures, and operators. https://www.epfl.ch/labs/smat/phd-positions/ | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Analysis | Partial Differential Equations and Variational Methods | Prof. Maria Colombo | We are looking for a PhD in the field of Partial Differential Equations and Variational Methods with, possibly, a focus on computer assisted proofs.For contact details and more information: https://www.epfl.ch/labs/amcv/amcv/open-positions/ | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Discrete Mathematics | Extremal Combinatorics | Prof. Oliver Janzer | We seek outstanding candidates interested in the following areas: Extremal Graph Theory, Ramsey Theory, Probabilistic Combinatorics, connections of Extremal Combinatorics and Theoretical Computer Science. For contact details and more information, see: https://sites.google.com/view/oliver-janzer/home | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Algebra and Number Theory & Geometry and Topology | Shuffle algebra techniques in representation theory | Prof. Andrei Neguț | We seek PhD candidates with strong backgrounds in representation theory and excellent combinatorial skills, in order to work on new approaches in the study of quantum loop groups using shuffle algebras. The broader research program is connected to geometric representation theory, quantum topology and categorification, and mathematical physics. For contact: here. | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Stochastic analysis | Stochastic analysis and dynamics, stochastic geometric analysis | Prof. Xue-Mei Li | We are seeking PhD candidates with a strong background in stochastic processes and analysis. Successful candidates will work on topics such as stochastic differential equations, stochastic partial differential equations, multi-scale stochastic dynamics, and long-range dependence. For more details: https://www.epfl.ch/labs/stoan/ | December 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Accelerating plasma simulation with low-rank techniques | Prof. Daniel Kressner | Numerically simulating and controlling turbulent plasma in fusion devices is an important and extremely challenging task requiring massive computer power. The goal of this project is to use advanced linear algebra techniques, specifically randomized and dynamical low-rank approximation, to accelerate such simulations. The work involves the development of state-of-the linear algebra algorithms, a good dose of implementation, some modelling and theory as well. The project will be jointly supervised by Professors Paolo Ricci (SPC, EPFL) and Daniel Kressner (MATH, EPFL). | September 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Randomized linear algebra for data analysis and complex simulations | Prof. Laura Grigori | This PhD will focus on randomization for numerical linear algebra operations arising in large scale numerical simulations and data analysis problems. Randomization is a compelling technique that relies on dimensionality reduction for solving large scale problems that are out of reach by deterministic methods. For more details see https://www.epfl.ch/labs/hpnalgs/ | September 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Non-convex optimization: landscapes, algorithms, complexity and geometry | Prof. Nicolas Boumal | We study theory and algorithms for continuous optimization, especially in non-convex settings. Accordingly, we aim to leverage other types of beneficial structure, such as symmetry and geometry. We aim to understand why existing algorithms behave better or worse than one might expect, and we try to find even better algorithms — or proof that none exists. Often times, randomness in the data or in the algorithm plays an important role. This type of research involves a combination of mathematical skills spanning numerical analysis, differential geometry, complexity theory, graph theory, matrix analysis, probability and much more. For more details: https://www.nicolasboumal.net/ | September 15, 2025 |
| Research Area | Professor | Description | Deadline | |
| Probability and Stochastics | Stochastic differential equations | Prof. Xue-Mei Li | A PhD position is available in the Chair of Stochastic Analysis. We seek outstanding candidates interested in the following topics: stochastic differential equations, stochastic partial differential equations, and stochastic processes on manifolds. For more details, see https://www.epfl.ch/labs/stoan/open-positions/ and https://www.epfl.ch/labs/stoan/ | December 15, 2024 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | 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 |