16 phd-machine-learning scholarships at University of Luxembourg

PhD candidate in AI/Machine Learning for Medical Image Computing in collaboration with the Dept. of Behavioural and Cognitive Sciences

The junior group in Imaging AI develops applied AI research focused on biomedical signal analysis and medical image computing. The general aim of the group is translating bleeding edge algorithms from fundamental AI and imaging research closer to a concrete biomedical application. We are looking...

PhD in AI/Machine Learning for Medical Image Computing

degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern

PhD candidate Advancing Space Weather Predictability

may help to mitigate and prepare for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company

PhD Candidate in Software and System Verification, Model Checking, Cyber-Physical Systems

sampling, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space

PhD Candidate in Software and System Verification

, metaheuristics, simulations, prediction models (machine learning). The results of the project are expected to apply to multiple use cases across different domains, e.g., automotive systems, space systems, smart

PhD candidate Advancing Space Weather Predictability

for such space weather events. Recently, the use of machine learning for improved space weather forecasting has gained in importance. The Luxembourg-based company Mission Space and SnT, University

PhD: Deployment and Control of a Distributed Telescope as a Formation of Nanosatellites

personal project, to allow him/her to acquire a deep understanding of her/his subject. Second, the network-wide training will be offered by the consortium during the whole project life cycle through 4

PhD in Automatic Testing (via computational intelligence)

an advantage Commitment, team working, a critical mind, and motivation are skills that are more than welcome Optional: knowledge of machine learning, metaheuristics, statistics, and text analysis

PhD in Software Engineering (Testing Web Applications)

should have some knowledge and experience in a number of the following topics: Software Testing Model/Specification inference Machine learning Web applications Java advanced (Spring and Hibernate

PhD Robust & eXplainable AI for flash flood prediction model

, such as the University of Liège and Aachen University, is anticipated. Your Profile The expected PhD candidate should have: A Computer Science background Expertise in Machine Learning, Deep Learning