49 machine-learning positions at Eindhoven University of Technology

PhD On Numerical Linear Algebra tools in Scientific Machine Learning

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

Postdoc/Research Scientist in Computational Physics and Machine Learning

formalizes the synergy between physics, information theory, and machine learning, particularly focusing on computing with Oscillatory Neural Networks (ONNs). Project The project aims to formalize the synergies

PhD's on Decentralized AI for Audio-based Health Diagnostics

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

Asst/ Assoc Professor in Control and Orchestration of Complex Optical Networks

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

PhD on AI-Assisted Surrogate Modeling for Complex Systems

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

PhD on Statistical mechanics on random graphs and algorithms

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

PhD on Real-Time Rendering of Diffusion MRI Tractography Data

advancements in computer graphics, leveraging techniques from the filmmaking industry to create visually compelling representations of complex brain datasets. Collaborate closely with renowned neurosurgeons

PhD on Deep Learning Perception for Automotive 4D Imaging Radar

? •    Are you fascinated by the latest developments in self-supervised learning and generative models? •    Are you excited to work on perception tasks for safety-critical systems using the next-generation

PhD's on neuromorphic computing & engineering: algorithms&hardware architectures

with hardware architecture, FPGA, and system-level simulation is desirable. A good theoretical understanding of statistics and machine learning theory. Strong analytical skills and proficiency in

Assistant Professor Design of Games and Digital Twins

. The candidate is expected to strengthen the department’s competence in machine learning and AI. This position is intended to strengthen the department’s research and education program regarding gameful design