Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- NTNU Norwegian University of Science and Technology
- Queensland University of Technology
- Graz University of Technology
- Lulea University of Technology
- University of Basel
- Wrocław University of Science and Technology
- California Institute of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Monash University
- Mälardalen University
- Newcastle University
- Rochester Institute of Technology
- Swinburne University of Technology
- Technical University of Munich
- Tilburg University
- University of Birmingham
- Utrecht University
- Łukasiewicz Research Network - Krakow Institute of Technology
- Blekinge Institute of Technology
- Brno University of Technology, Central European Institute of Technology
- CNRS
- Chalmers University of Technology
- Delft University of Technology
- Dresden University of Technology •
- Foundation for Research and Technology
- Foundation for Research and Technology-Hellas
- Grenoble INP - Institute of Engineering
- KTH Royal Institute of Technology
- Massachusetts Institute of Technology
- Massachusetts Institute of Technology (MIT)
- Murdoch University
- Newcastle University;
- Norwegian University of Life Sciences (NMBU)
- Personalabteilung der Montanuniversität Leoben
- Silesian University of Technology
- Singapore University of Technology & Design
- Swedish University of Agricultural Sciences
- Technical University of Munich (TUM)
- The Swedish University of Agricultural Sciences
- The University of Alabama
- Umeå University
- University of Antwerp
- University of Copenhagen
- University of Luxembourg
- 38 more »
- « less
-
Field
-
develop algorithms for segmentation, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter
-
PhD students. The MoM section is recognized worldwide for its high-level research on experimental analysis, theoretical understanding and predictive modelling of complex thermo-mechanical behaviour (e.g
-
resources efficiently. In this PhD project, you will develop mathematical theory and computational methods for the analysis and design of chaotic sampling mechanisms in networked control systems. You will
-
studies, data management, model development, conducting experiments or assessments, analysis and interpretation of results, and evaluation of research techniques Collaborates with internal and external
-
. This will involve testing healthy and autistic human participants on a new platform to diagnose autism from eyetracking data. It will involve collecting data, extensive computational analysis of the data, and
-
of fluid mud. The project combines mathematical model development, nonlinear dynamical systems analysis, turbulence modelling, and environmental fluid mechanics. The successful candidate will contribute
-
the next generation of post-quantum cryptographic schemes that are designed with implementation security in mind from the outset. Your research will combine cryptographic design with formal security analysis
-
, testing, verification, security analysis, deployment, and monitoring Development of generative AI methods for automated test-case generation, software validation, vulnerability analysis, and debugging
-
. The student will gain hands‑on experience with plasma science, reactor design, chemical analysis, and renewable‑energy technologies. It’s an opportunity to contribute to real‑world climate solutions while
-
27 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Mathematics » Combinatorial analysis Mathematics » Discrete mathematics Researcher Profile