7 additive-manufacturing scholarships at Leiden University

2 PhD Candidates, Reinforcement Learning for Sustainable Energy

for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges. There are two open positions: one

2 PhD Candidates, Reinforcement Learning for Sustainable Energy

the Reinforcement Learning Lab for Sustainable Energy, researchers from academia and industry develop, implement and evaluate new deep reinforcement learning methodology to solve sustainable energy challenges

PhD position in the Oncode Accelerator Project

application in a clinical and industry environment. Computational Drug Discovery Research in this group, headed by Gerard van Westen, focusses on computational methods integrated in different parts of the drug

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

studies to the definition of appropriate similarity measures and their application for algorithm selection and configuration, addressing crucial societal challenges currently faced in industry, in fields

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

communication skills in English; Dutch proficiency or willingness to learn is a plus; Ability to collaborate effectively with diverse stakeholders, including industry professionals and academic researchers; Additional

PhD candidate in Industrial Ecology

timeframe. You have excellent social and communication skills and the ability to interact with other researchers, industry and policy actors. Additional Information Benefits Terms and conditions At Leiden

PhD candidate related to Infrastructure Dynamics and Sustainability

: Engage in outreach to communicate findings to broader audiences, including industry stakeholders. Contribute to teaching responsibilities, sharing expertise and fostering the next generation of researchers