-
theory, signal processing, and quantum systems. Our research combines fundamental methods with algorithm development, with close connections to both academic and industrial partners. Our working language
-
localization, sensing, and tracking. This profile focuses on modelling, algorithm development, performance analysis, and signal processing for radio localization, sensing, and tracking in terrestrial and
-
programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
-
working hours Conduct research on microwave-based diagnostic methods for applications in disaster and emergency care. Design, model, and evaluate sensors, measurement systems, and algorithms for microwave
-
courses such as geographic databases, Web GIS, GIS algorithms and data structures, geospatial artificial intelligence (GeoAI), and the collection and analysis of 3D geodata. The position includes course
-
. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities
-
theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
-
possible. One or two extended research visits are encouraged during the doctoral study. Applicants should have a strong interest in the mathematical analysis of algorithms in general and cryptography in
-
in the presence of strategic, realistically constrained adversaries and probabilistic uncertainty. We seek to develop analysis and design algorithms that incorporate cross-layer information and account
-
investigate suitable topologies, materials, and components to achieve high efficiency and scalability up to 500 kW. Advanced control algorithms will be developed to ensure stable power flow under varying