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-time/Part-time) (several posts) [Appointment period: each for six months] Duties The appointees will assist the project leader in the project - “Developing an LLM-based multi-agent language learning
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multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and
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IoT devices with reliable drivers/APIs; build autonomous/robotic testing workflows. Design LLM agents for planning, tool-use, and experiment control with safety interlocks. Develop and deploy RL/agentic
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, reinforcement learning, simulation, and counterfactual analysis. Multimodal NLP & Fusion, large language models (LLMs), cross-attention Fusion, vision-language transformers. Ontological engineering, knowledge
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(LLMs) for software engineering and static analysis tasks. More information about the lab is available at https://sanadlab.org . What the Program Offers Full-time paid research position for up to 3 years
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skills. Experience in handling multimodal data, especially videos, is required. Experience with post-tuning and/or model editing of multimodal LLMs is preferred. A track record of significant involvement
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collaborative research and experimentation. The candidate with the following knowledge is preferable: Agentic AI, large language models (LLMs), and Vision-Language-Action (VLA) models. Preference will also be
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to) • AI4SCI, with an emphasis on atomic systems such as molecules, proteins, and materials • Modern energy/entropy based learning • LLM/Agent for science • Related safety issues in AI4SCI Dr. Bian
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, covering areas such as LLMs, generative AI models, computational biology, and the analysis of high-dimensional neural and behavioral data. The Fellowship is intended for early-stage scientists and will
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interested in the communicative, political, and societal implications of generative AI technologies, particularly large language models (LLMs). The successful candidate will contribute to a research programme