14 Mathematics scholarships at Leiden University in phd in Netherlands

PhD position in mathematical statistics

Research Infrastructure? No Offer Description Job description: The Mathematical Institute of Leiden University invites applicants for a PhD position working with Alexander Dürre. You will conduct research

PhD candidate: HiTaL: High Throughput Anisotropic Lithography

contribute to the major societal challenges of the future. The research carried out at the Faculty of Science is diverse, ranging from Mathematics, Information science, Astronomy, Physics, Chemistry, Bio

2 PhD Candidates, Reinforcement Learning for Sustainable Energy

out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and environmental

PhD candidate: HiTaL: High Throughput Anisotropic Lithography

is to benefit science, and to contribute to the major societal challenges of the future. The research carried out at the Faculty of Science is diverse, ranging from Mathematics, Information science

2 PhD Candidates, Reinforcement Learning for Sustainable Energy

discipline. The research carried out at the Faculty of Science is diverse, ranging from mathematics, artificial intelligence, computer science, astronomy, physics, chemistry and bio-pharmaceutical sciences

PhD student in vascular cell biology/immunology

of the future. The research carried out at the Faculty of Science is very diverse, ranging from mathematics, information science, astronomy, physics, chemistry and bio-pharmaceutical sciences to biology and

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

Selection Criteria We are looking for a candidate that meets the following criteria: MSc degree in Artificial Intelligence, Data Science, Applied Mathematics, Computer Science, or a related field; Solid

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

, Data science, Applied Mathematics, Computer science, or related field; Good programming skills in e.g., Python, R, C++; Solid experience in Machine (Deep) Learning and/or black-box optimization; Interest

PhD candidate related to Infrastructure Dynamics and Sustainability

. Selection criteria Master's degree in a relevant discipline e.g. environmental or sustainability science, industrial ecology, environmental engineering etc. Good mathematical background Knowledge and interest