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Field
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moral cognition, and AI safety. Human societies have solved an extraordinary version of the multi-agent alignment problem, getting millions to billions of individuals to cooperate, coordinate, and enforce
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what alignment is required between the world models of agents and humans that collaborate. You also develop communicative strategies for the agent to detect misalignments and take actions to resolve
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environments; and (iv) Agentic AI systems for autonomous discovery, planning, and decision-making. The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE
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several major types of mobility modeling, with the aim of improving their respective efficiency and usage: four-step models, multi-agent systems and a mobility model developed in the PhD thesis of Louisette
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agents and their influence on microbial growth and tolerance. Collaboration with interdisciplinary research teams for integration of metallomic data into comprehensive studies on microbial resistance and
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optimization and LLM alignment: design preference-based training and fine-tuning methods (RLHF, PPO, DPO, reward modeling) for medical and multilingual LLMs. Agentic and tool-augmented AI systems: develop
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Sciences Moléculaires (ISM) in Bordeaux, under the supervision of Prof. D. Taton and Prof. Y. Landais, within the framework of the ANR-funded project CYCLO-PE. Molecular synthesis of functionalizing agents
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adaptive decision infrastructure for complex cyberphysical human systems, enabled by agentic and embodied AI. Working under the supervision of Dr Neda Mohammadi , the successful candidate will contribute
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frameworks using reducing agents under inert conditions • In-depth analysis and characterization of CO₂ chemisorption in modified covalent organic frameworks • Preparation of electrode materials
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porous solids for the capture and/or degradation of toxic agents (or simulants) and sensors. Main activities Identification of MOFS composition Using existing databases that have already identified