21 sensor PhD positions

PhD Position at IETR - Ecodesign of Embedded Systems applied to Smart Vision

manufacturing, use and end-of-life. The system itself is composed of printed circuit boards (PCB), semiconductor integrated circuits (ICs), passive components, connectors, sensors, actuators, batteries and

PhD Studentship: Big Data and Artificial Intelligence for Urban Mobility

sensor technologies, communication networks, and machine learning, has paved the way for innovative solutions to enhance the efficiency and sustainability of our transport systems. The successful candidate

M/F PhD: NIR-fueled fluorescent microbeads for velocity and O2 sensing

probes from commercially available microspheres and UCNP nanoparticles and ruthenium complexes 2- calibrate these microprobes as O2 sensors 3- participate in PIV measurements with the TBI laboratory 4

PhD Studentship: Developing a digital twin for validation of packing optimisers used for nuclear decommissioning

robotic arm, flat work surface to pick up well separated objects from, and a packing box) but equipped with necessary machine vision sensors to allow discrepancy detection and correction to be carried out

PhD position on Hydrogen Combustion

instabilities. Development of advanced monitoring and control approaches based on flame sensors and IA techniques, specifically adapted to H2 combustion. Design and evaluation of novel solutions for the clean

PhD Studentship: Understanding the Past, Securing the Future: Advanced Techniques for the Detection of Chemical Hazards in Archive Repositories Through Heritage Science (ADeCHAR)

chemistry, applied analytical chemistry and sensor technologies with the aim to deliver a new advanced detection tool. Alongside this, a machine learning approach will be utilised with the aim of efficiently

PhD Student (M/F) "Ferroelectric oxides for spintronic applications"

numerous applications in the field of memories and magnetic sensors for example. This major breakthrough in electronics was awarded with a Nobel Prize of physics in 2007. Traditionally, spintronic relies

PhD position in “Environmental Life Cycle Assessment of Hydropower”

for unconventional conditions (e.g. salt water or coal mine applications), and through sensor-based condition monitoring systems. Furthermore, digital tools for operational management are employed to consider

PhD on Event-based Communication Algorithms for Knowledge Transfer with Distributed Digital Twins

), synchronised with the real-world entity it replicates by using Internet of Things (IoT) technologies, such as sensors and actuators. By applying digital technologies, such as AI, data analytics and computer

PhD on Event-based Communication Algorithms for Knowledge Transfer with Distributed Digital Twins

Internet of Things (IoT) technologies, such as sensors and actuators. By applying digital technologies, such as AI, data analytics and computer simulations, a DT application can be used to experiment