10 machine-learning PhD scholarships at University of Luxembourg in 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 Visual SLAM for construction

: Conducting research on perception and situation understanding, making contributions to the state-of-the-art in the fields of simultaneous localization and mapping (SLAM), computer vision, machine learning

PhD in Bioinformatics, Biostatistics & Artificial Intelligence

seek a highly motivated bioinformatician or biostatistician who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study

PhD in Domain Adaptation for Space Applications

related field Strong background in image/signal processing or/and in computer vision Strong programming skills in Python/Matlab/C/C++ Familiarity with machine learning and deep learning concepts Strong

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 Reinforcement Learning applied (Robotics Autonomy in Space)

Experience with classical and modern Computer Vision Familiarity with robotic simulation software: Gazebo, Omniverse Language Skills: Fluent written and verbal communication skills in English are required

PhD in AutomaticTesting in Continuous Integration Environments

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: 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