Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Carnegie Mellon University
- Aalborg University
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- Tilburg University
- Aalborg Universitet
- CNRS
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Lulea University of Technology
- Luleå University of Technology
- Manchester Metropolitan University
- Technical University Of Denmark
- University of Birmingham
- University of Cyprus
- University of Texas at El Paso
- 6 more »
- « less
-
Field
-
Security and Communication Technology Research is vital to the security of our society. We teach and conduct research in cyber security, information security, communications networks and networked services
-
15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
-
discipline. Essential Good programming skills, preferably in Python/C#. Experience with machine learning, deep learning, or experimental AI evaluation. Interest in secure distributed AI, federated learning
-
with European industry. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning
-
. The EISLAB division at Luleå University of Technology conducts research in electronic systems design, sensor systems, cyber-physical systems, the Internet of Things and machine learning, and works on
-
and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and
-
applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in
-
assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment
-
Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural
-
on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and