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Field
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Professor that will be capable of contributing to multiple ongoing research projects in the lab. Potential projects include, but are not limited to, oceanographic characterization of deep-water habitats, GIS
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topographic indices as environmental variables for mapping, and satellite data for weather. The doctoral student will be part of a broad research group with expertise in GIS, AI, soil science, forest ecology
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robots -Distributed task planning for collaborative missions -Behaviour tree based multi agent collaboration -Reactive task allocation in large scale missions For further information about a specific
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RAICAM aims to train a cohort of 10 PhD students to work on the next generation of mobile robots for inspection and maintenance of industrial facilities. RAICAM will develop a multi-domain, multi-agent
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simulated agents. By systematically manipulating the social conditions (cooperation vs. competition, solo vs. group foraging) and landscapes (poor vs. rich resource availability, clustered vs. uniform
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independently and collaboratively Excellent written and verbal communication skills Desirable Experience with modelling tools (e.g., MATSim, UrbanSim, ActivitySim, GIS, or Statistics) Experience in stakeholder
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forests are merits. Skills in planning, executing, and reporting scientific studies, as well as experience with statistical analyses, GIS and literature reviews (incl. meta-analyses) are meriting
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Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
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agricultural or ecological settings. Experience with GIS (Geographic Information Systems) or spatial analysis for landscape-level studies. Experience with scientific writing in English You need to be able
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, interaction of nanoparticles with various mammalian cells will be studied to determine the ability to deliver bioactive agents into cells. Lipid nanoparticles are critical delivery systems for a wide range of