Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Delft University of Technology (TU Delft)
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Eindhoven University of Technology (TU/e)
- Queensland University of Technology
- Wrocław University of Science and Technology
- Graz University of Technology
- Grenoble INP - Institute of Engineering
- Lulea University of Technology
- Luleå University of Technology
- Luxembourg Institute of Science and Technology
- Technical University of Munich
- Tilburg University
- Blekinge Institute of Technology
- Chalmers University of Technology
- Karlsruhe Institute of Technology •
- Luxembourg Institute of Science and Technology (LIST)
- Norwegian University of Life Sciences (NMBU)
- Rochester Institute of Technology
- Silesian University of Technology
- Swinburne University of Technology
- University of Birmingham
- University of Luxembourg
- University of Warwick
- Wageningen University & Research
- 15 more »
- « less
-
Field
-
Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established
-
SINTEF, Equinor, and Total. The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming to improve flow assurance via field
-
1st October 2026 Languages English English English The Department of Electronic Systems has a vacancy for a PhD Candidate in Machine Learning & Signal Processing for Industrial Applications Apply
-
are looking for a motivated and talented PhD candidate to join a unique interdisciplinary project at the intersection of machine learning and formal methods. Information Machine learning models deployed in real
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
-
Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
-
. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations from largely unlabelled data that can generalize across
-
, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. About the project The role of the PhD candidate will
-
scale radar datasets with high quality labels remain scarce. In this PhD project, you will investigate foundation models for automotive imaging radar. The goal is to learn general radar representations
-
. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic