Publisher
source

École Normale Supérieure

Just Landed

Postdoctoral Researcher in Mathematics of Machine Learning — PERSNET Ecole Normale Supérieure in France

Degree Level

Postdoc

Field of study

Stochastic Processes

Funding

Available

Deadline

Nov 30, 2026

Country flag

Country

France

University

École Normale Supérieure

Apply for this position

You'll sign in first, then continue in your ApplyKite dashboard.

Keywords

Stochastic Processes
Generative Modeling
Optimal Transport
Kernel Methods
Statistics
Pde

Suggested positions

Publisher
source

Wuzhe Xu

South Dakota State University

Country flag

United States

Assistant Professor Wuzhe Xu at South Dakota State University is looking for highly motivated PhD students to join the research group in the Department of Mathematics & Statistics starting in Fall 2027 . The group’s research interests include deep learning for PDEs and optimal control , generative models for scientific computing , and numerical methods for multiscale kinetic equations . This is a strong fit for students interested in mathematics , computer science , statistics , and related area...

Computer Science
Deep Learning
Mathematics
+6 more

1 month ago

Publisher
source

University of Cambridge

Country flag

United Kingdom

Applications are invited for two Postdoctoral Research Associates in Probability Theory in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge . The positions are part of the probability group and involve research in Probability Theory , with opportunities to work alongside Professors Jason Miller , James Norris , Pierre-François Rodriguez , Sourav Sarkar , Perla Sousi , and Wendelin Werner . The posts are supported by ERC grants held by Professors Jason...

Mathematics
Probability Theory
Stochastic Processes
+2 more

1 week ago

Publisher
source

University of Bristol

Country flag

United Kingdom

The University of Bristol's School of Engineering Mathematics and Technology is offering a PhD position focused on scalable intelligent planning for partially observable uncertain systems. Modern infrastructure, including power grids, water networks, and transportation systems, relies on sustainable and continuous operation. However, these 'systems of systems' are complex, nonlinear, and often stochastic, making their management a significant scientific and logistical challenge. Small local fail...

Computer Science
Machine Learning
Systems Engineering
+5 more

7 months ago

Publisher
source

University of Basel

Country flag

Switzerland

PhD position at the University of Basel, Switzerland, in generative modeling for human development and disease . The project focuses on computational biology and bioinformatics methods for single-cell genomics and spatial genomics data from sequencing and imaging. Research directions include: cell–cell communication modeling beyond ligand–receptor analysis; joint models of regulation and dynamics using flow-based and diffusion-based approaches; and intervention design plus continual learning for...

Computer Science
Biomedical Engineering
Biology
+5 more

1 month ago

Publisher
source

University of Copenhagen

Country flag

Denmark

Department of Mathematical Sciences, Faculty of SCIENCE, University of Copenhagen is inviting applications for PhD stipends in Statistics and the mathematics of Insurance and Economics . The call covers research in the sections of Insurance and Economics and Statistics and Probability Theory , with examples including optimal transport and adapted Wasserstein metrics , causality and reliable machine learning at the Copenhagen Causality Lab, and other topics in statistics, mathematics-economics, a...

Mathematics
Actuarial Science
Causality
+5 more

1 month ago

About this position

Applications are invited for an 18-month, full-time postdoctoral research position in the mathematical and statistical foundations of machine learning at École normale supérieure – PSL in Paris.

The position is hosted by the Département de mathématiques et applications (DMA), within the Probability and Statistics team and the ENS-PSL Center for Data Science, and is supported by the PERSNET project in the French PEPR Artificial Intelligence programme, funded by France 2030. The postdoc will work with Eddie Aamari and develop a research programme jointly, aligned with the scientific scope of PERSNET and the candidate’s expertise and interests.

Research directions include topological and geometric analysis of neural networks; transformers, attention dynamics, tokenization and learned representations; generative modelling on manifolds and stratified spaces; diffusion and score-based models; drifting models and kernelized transport; gradient flows associated with maximum mean discrepancy and reproducing kernel Hilbert spaces; nonlocal partial differential equations; RKHS geometry; kernel mean embeddings; and geometric statistical testing.

The main responsibilities are to conduct original research, prepare scientific publications, present findings at seminars and conferences, and contribute to the scientific activities of the host team and the PERSNET project. Applicants should have a PhD or equivalent and a strong background in relevant mathematical areas such as probability, statistics, geometric inference, optimal transport, PDEs, stochastic processes, topological data analysis, kernel methods, or mathematical machine learning.

Experience with generative models, transformers, or numerical experiments is welcome but not required. The post is based in Paris, France, with a deadline of 30 November 2026 at 12:00 (Europe/Paris). Applications are submitted by email to Eddie Aamari.

Funding details

Available

What's required

Applicants should have a PhD or equivalent in mathematics, statistics, or a closely related field. A strong mathematical background in one or more relevant areas is expected, including probability, statistics, geometric inference, optimal transport, partial differential equations, stochastic processes, topological data analysis, kernel methods, or mathematical machine learning. Candidates should be able to develop rigorous mathematical arguments, pursue original research with increasing independence, and collaborate and communicate effectively in English. Prior experience with generative models, transformers, or numerical experiments is welcome but not required; expertise in all listed research directions is not expected.

How to apply

Send an application by email to [email protected]. Use the subject line indicating the position title. Follow any further instructions on the project or lab webpage if provided.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.