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
- Foundation for Research and Technology-Hellas
- Technical University of Munich
- Karlsruhe Institute of Technology •
- Norwegian University of Life Sciences (NMBU)
- Tilburg University
- University of Copenhagen
- Vrije Universiteit Brussel
- Łukasiewicz Research Network - Krakow Institute of Technology
- 2 more »
- « less
-
Field
-
» Mechanical engineering Engineering » Industrial engineering Computer science » Cybernetics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 Oct 2026 - 23:59 (Europe
-
for scalable operation of the platform. Duties of the position Complete the doctoral education leading to a PhD degree Conduct high-quality research within robotics, mechatronics, and product development Design
-
at the intersection of computer vision, micro-electronics analysis, and hardware security, and will work under the supervision of researchers within the Department of Intelligent Systems. The PhD researcher will be
-
to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position As a PhD Candidate with us, you will help turn early railway
-
microstructure. An integrated numerical-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure is in place for the numerical work in this project. PhD projects
-
cookie and refresh page to watch video, or click here to open video) About the position As a PhD Candidate with us, you will help turn early railway fault detection into better maintenance decisions and
-
-experimental approach is generally adopted for this goal. A state-of-the-art computing infrastructure is in place for the numerical work in this project. PhD projects The PhD projects listed below are embedded
-
for general criteria for the position. Preferred selection criteria Familiar with use of real-world data Experience with fieldwork Experience with signal and image processing Personal characteristics
-
of abdominal aortic aneurysms. Information As a PhD candidate, you will contribute to the prestigious NWO VICI programme "(R)evolution in Abdominal Ultrasound Imaging" within the Photoacoustics & Ultrasound
-
physics and building high performance imaging systems. She or he has a demonstrable interest in optics, signal processing, and mathematics or machine learning. The candidate should have an MSc degree in