47 machine-learning-phd positions at Eindhoven University of Technology in Netherlands
Sort by
Refine Your Search
-
computing (SC)? Are you fascinated by the emerging field of machine learning (ML)? Are you our next PhD-candidate in scientific machine learning or SciML (combining SC and ML)? Are you eager to work on the
-
of machine capabilities. However, learning these models requires direct access to vast data repositories, which poses significant privacy and logistical challenges, especially in the health sensing domain
-
systems on random graphs by rigorously characterizing the set of Gibbs measures. Applications of such problems range from computational complexity, coding theory, to machine learning. This PhD project
-
surrogate models. Applying symbolic reasoning to define and analyze system components and their interactions. Merging machine learning with symbolic AI to enhance system (performance) monitoring. Advancing
-
network and data centers, the transmission link optimization at the physical layer, and the computing decentralized systems by exploiting state of the art machine learning approaches to ultimately implement
-
Revolutionize neuroscientific visualization with real-time cinematic tractography. Join our innovative PhD project to develop cutting-edge brain visualizations, bridging the gap between data
-
processing pathways to electro chemically upcycle pyrolysis carbons into value added graphene(oxide) colloids. Your PhD project is part of a larger collaboration between TU Eindhoven and Shell on
-
automotive radar? • Then apply for the PhD position on Deep Learning Perception for Automotive 4D Imaging Radar! Autonomous driving is a key application of artificial intelligence generally, and vehicle
-
Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7342 Job description The PhD candidate will work within an international research project SINTRA in cooperation
-
bachelor and master projects. The candidate will be expected to acquire the University Teaching Qualification (UTQ). Job requirements PhD in Software Engineering, Computer Science or related discipline(s