PHD Candidates (Four Years Each)

- Two PhD Positions in AI for Science at the University of Amsterdam Two Positions in AI for Science at the University of Amsterdam Curious how foundation models can accelerate environmental science, and how they reach their answers? Two Positions in AI for Science at the University of Amsterdam Curious how foundation models can accelerate environmental science, and how they reach their answers? Two Positions in AI for Science at the University of Amsterdam To truly help scientists, they must work with real scientific data, and we must understand how they reach their answers. We are looking for two PhD candidates (four years each) to make AI both useful and understandable for science. You will join a collaborative team at the University of Amsterdam, led by Prof. Evangelos Kanoulas and Dr. Ana Lucic, and work closely with AI researchers and environmental scientists across Europe in the Horizon Europe project EVELYN. Together, we will turn cutting-edge AI into tools that help researchers understand and reduce environmental pollution. To truly help scientists, they must work with real scientific data, and we must understand how they reach their answers. We are looking for two PhD candidates (four years each) to make AI both useful and understandable for science. You will join a collaborative team at the University of Amsterdam, led by Prof. Evangelos Kanoulas and Dr. Ana Lucic, and work closely with AI researchers and environmental scientists across Europe in the Horizon Europe project EVELYN. Together, we will turn cutting-edge AI into tools that help researchers understand and reduce environmental pollution. Position 1: Fine-tuning and retrieval for multimodal foundation models in science Foundation models change how science is done: one model, pre-trained on broad data, can be adapted to many specialised tasks. Scientists need detection maps from satellite imagery, fast approximations of expensive simulations, gap-fi...