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of artificial intelligence, cloud systems, and next-generation communication infrastructures. In this position, you will develop agentic AI solutions that can autonomously configure and deploy 6G and edge-cloud
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The focus of the project is artificial intelligence (AI) and its relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively
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relation to robotics and embodiment. Embodiment plays a significant role in learning in AI by enabling cognitive agents to acquire actively knowledge and skills through interaction with their surrounding
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agents (BCAs) for the control of plant diseases. We are interested in whether plant pathogens can evolve resistance or tolerance to microbial BCAs and if so, what are the mechanisms behind this? Using
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involving small groups of socially interactive virtual characters and agents (also known as SIAs). These embodied agents typically have a 3D representation and are able to interact with humans by expressing
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. However, there are many knowledge gaps in relation to the use of microbial biocontrol agents (BCAs) for the control of plant diseases. We are interested in whether plant pathogens can evolve resistance
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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change agents who share our vision. The centre is a joint initiative of Stockholm University and the Beijer Institute for Ecological Economics at the Royal Swedish Academy of Sciences. In total, SRC has
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the Associate Professor Zoe Falomir. Interested? Submit your application by Nov 30, 2025. Project description and working tasks This project proposes the implementation of a cognitive agent embodied in a humanoid
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reliability and trustworthiness. This is especially crucial in high-stakes applications such as medical diagnosis, autonomous driving, and agentic systems. To improve the reliability and trustworthiness