Sort by
Refine Your Search
-
Listed
-
Field
-
, etc.), experience in evaluation of algorithms and in Deep Learning libraries. Excellent command of written and spoken English (subject to TU Delft eligibility criteria). To thrive as a PhD candidate
-
for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled
-
identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several scientific challenges, including developing advanced models
-
for expensive new dispatchable generation capacity, enable deeper renewable energy penetration, mitigate grid congestion, and reducing CO₂ emissions at national scale. In this PhD project, you will develop
-
6 Feb 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Computer science » Programming Mathematics » Algorithms Mathematics » Discrete mathematics
-
of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
-
enabling new transmitter concepts, but only if we can detect imperfections and correct them in real-time. In this PhD, you will build the digital “brain” that makes this possible: an energy-efficient
-
fidelity, enabling precise characterization of transmitter errors and nonlinearities. These measurements will be used to generate error signals for advanced AI-assisted digital predistortion algorithms
-
and urban infrastructures interdepend and co-evolve, and to identify network designs that can further enhance global telecommunications and urban performance. This exciting PhD project presents several