| Research Area | Professor | Description | Deadline | |
| Analysis | Partial Differential Equations and Variational Methods | Prof. Maria Colombo | A PhD position is available in the field of Partial Differential Equations and Variational Methods, with, possibly, a focus on computer assisted proofs in the field in co-supervision with Dr. Gonzalo Cao-Labora and Prof. Maria Colombo. The candidate will join the AMCV group, with an expected start date between March 2027 and September 2027. Please refer to open positions ‒ AMCV ‐ EPFL | December 1, 2026 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Scientific machine learning | Prof Benjamin Peherstorfer | A PhD position is available in the Chair of Computational Mathematics and Data. We seek outstanding candidates interested in advancing computational mathematics at the interface of artificial intelligence, numerical analysis, and scientific computing. Topics of interest include generative modeling, (nonlinear) reduced modeling, and high-dimensional approximations. Applications of interest include data assimilation, control, and large-scale physical simulations. https://people.epfl.ch/benjamin.peherstorfer | September 15, 2026 |
| Research Area | Professor | Description | Deadline | |
| Optimization, statistics, operations research | Optimization-based activity models | Prof. Michel Bierlaire | This PhD project aims to develop a new generation of activity-based travel-demand models formulated explicitly as combinatorial optimization problems. The research will represent individuals’ daily activity schedules—including activity choice, timing, duration, location, and travel—as interdependent decisions subject to temporal, spatial, and household constraints. Advanced optimization methods will be designed to estimate and solve these models efficiently at large scale. The resulting framework will provide a behaviorally meaningful and computationally rigorous tool for forecasting travel patterns and assessing transport and land-use policies. Funding: ERC Grant COBRA (Combinatorial Optimization for Behavioral Response Analysis) Starting date in early 2027 | September 15, 2026 |
| Research Area | Professor | Description | Deadline | |
| Applied and computational mathematics | Exploiting error control in first-principle materials modelling Research area: Applied and computational maths | Prof. Michael Herbst | The EPFL MatMat group has an opening for a PhD or PostDoc position with a flexible starting point (earliest start in October 2026). Possible topics include: * Machine-learned interatomic potential surrogates informed by error estimation techniques in first-principle density-functional theory (DFT) simulations. * Error estimation of DFT model predictions * Constructing novel DFT models using data-driven techniques * Algorithmic differentiation techniques to access higher-order DFT properties https://matmat.org/jobs/ | September 15, 2026 |
| 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 machine learning. We will focus in particular on using techniques inspired by domain decomposition methods combined with randomization. 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, 2026 |
| 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, 2026 |
| 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 | |
| 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 | |
| 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 |