7 machine learning scholarships at Leiden University

PhD Candidate on Multi-Objective Optimization and Machine Learning for Hydrogen Technologies

conflicting goals related to utilization and maintenance plans. Machine learning algorithms play a crucial role in predicting equipment lifetime and performance, as well as detecting abnormalities by analyzing

PhD Candidate for the Project 'Interactive Inspection' within the AI4Oversight ICAI Lab

, Data science, Applied Mathematics, Computer science, or comparable; Good programming skills in e.g. Python; Solid experience with human-computer interaction, machine learning, generative AI / LLMs

PhD Candidate on Problem-aware and Similarity-driven Optimization Algorithm design, Selection and

challenges and environments. Despite many techniques for autotuning algorithm settings available in Machine Learning, e.g., in the field of hyperparameter optimization, how to transfer these methods

PhD Candidate for Causal Inference

; Strong knowledge of and experienced with statistics, machine learning, and stochastic optimization; Highly motivated to both perform foundational machine learning research and apply the developed methods

PhD Candidate, Energy Efficient GPU Computing

for energy efficiency optimization Use of large language models (LLM) in automatic code optimization Auto-tuning for (energy) performance portability Optimizing (machine-learning) algorithms and applications

PhD position in the Oncode Accelerator Project

the domain of machine learning. For more information see: https://www.cddl.nl Research at our faculty The Faculty of Science is a world-class faculty where staff and students work together in a dynamic

PhD Candidate, Generative Information Retrieval

will unfold across three dimensions: (1) enhancing the GenIR models' ability to generalize through cutting-edge learning methods, (2) devising tailored knowledge alignment strategies for LLMs, and (3