Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- AALTO UNIVERSITY
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); yesterday published
- Ludwig-Maximilians-Universität München •
- Wageningen University & Research
- Empa
- Technical University of Denmark
- University of Tübingen
- Wageningen University and Research Center
- ; Imperial College London
- ; The University of Manchester
- Arts et Métiers Institute of Technology (ENSAM)
- Centre for Genomic Regulation
- DAAD
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Forschungszentrum Jülich
- Goethe University Frankfurt •
- Josip Juraj Strossmayer University in Osijek School of Applied Mathematics and Informatics
- Maastricht University (UM); Maastricht
- Max Planck Institute for Mathematics •
- Monash University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Radboud University
- Technische Universität Berlin •
- Tel Aviv University
- The Max Planck Institute for Neurobiology of Behavior – caesar •
- UNIVERSITY OF VIENNA
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Bonn •
- University of Copenhagen
- University of Göttingen •
- University of Luxembourg
- University of Southern Denmark
- University of Vienna
- Uppsala universitet
- 30 more »
- « less
-
Field
-
18 Oct 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Probability theory Mathematics » Statistics Researcher Profile First Stage
-
needs to be supplied with rigorous uncertainty analysis. The focus of this project is on the mathematical theory enabling these advances, via asymptotic analysis and nonparametric modeling. You will work
-
using tools from mathematical machine learning theory to prove mathematical guarantees about the performance of such new explanation methods, as well as programming to test out the methods and
-
characteristics make a machine learning model flag a certain bank transfer as potential money laundering? The aim of this project is to develop new mathematical techniques that can explain AI's internal mechanisms
-
deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
-
), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
-
pricing strategies. Evaluating the impact of different contracts (e.g., fixed-price, time-varying, or stochastic tariffs linked to spot market prices) on household DR. Assessing the impact of energy market
-
. Other degrees with a strong mathematical component will also be considered. • Interests: You should have a strong interest in mathematical machine learning theory and explainable AI. (This point is about
-
Do you want to contribute to surveillance of infectious pathogens using computer science and mathematics? Join the Delft Bioinformatics Lab and work on graph-based algorithms for microbial genomics
-
information and quantum computing? Do you enjoy studying complex quantum mechanical systems both from a physical and a mathematical perspective? Are you an innovative and productive team player who enjoys being