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autonomous, high-fidelity multi-agent systems within operational banking environments. This postdoctoral role offers a unique opportunity to shape the next wave of AI-driven financial technologies in close
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bottleneck. You will explore methods to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within
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physical environments. This position focuses on research at the intersection of computer graphics, generative AI, and robotics, encompassing topics such as generative modeling, reinforcement learning, multi
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the next generation of secure agentic AI systems through cutting-edge research in adversarial machine learning and formal verification. The Role As a research scientist, you will contribute to frontier AI
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to partially automate context engineering, enabling faster development cycles, stronger scalability, and more autonomous, high-fidelity multi-agent systems within operational banking environments
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, multi-agent systems, and agent based modelling) and energy systems (energy modelling, renewable energy, energy management, and energy in agriculture). The position will be under the direction of Dr. Karl
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adaptation of existing approaches for scientific applications; (ii) Large Language Models (LLMs) and multi-modal foundation Models (iii) Agentic AI techniques for scientific domains; and (iv) techniques
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three years ago; - Relevant experience in conducting research in IoT, Multi-agent Systems, Asset Administration Shells, and RAMI4.0; - The candidate's training and experience must be appropriate
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, starting as soon as possible, to support different projects and the supervision of doctoral researchers in the team. The Mobilab team is a dynamic group with broad research competences and interests, with
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) Research Experience: Relevant research experience in related problem domains, or research experience in scheduling, routing, and multi-agent pathfinding (MAPF) algorithms - Experience across multiple areas