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capabilities. Frontier AI is a purpose-built team that fuses scientific agentic AI, lab automation, and unified data platforms to autonomously design, run, and refine experiments—accelerating molecule discovery
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or if you have questions about a job posting, please contact Human Resources at 479.575.5351. Department: Architecture Hourly C Department's Website: https://fayjones.uark.edu/ Summary of Job Duties: The
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prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Future 6G infrastructures will involve multiple specialized AI agents that manage radio
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are seeking an experienced, self-motivated Research Software Engineer to lead software development toward a fully autonomous laboratory capable of planning and executing experiments with minimal human
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Offer Description We are looking for 5 motivated Doctoral students to help design the next generation of human-in-the-loop autonomous systems at the Division of Interaction Design and Software Engineering
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, specify, implement, and evaluate advanced capabilities such as spontaneous agent generation. Collaborative agentic AI agents will autonomously allocate resources, compose services, monitor and optimise, and
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robotics. Specific application areas of focus are long-term autonomous missions in large and uncertain environments, semantic mission planning with foundation models, agentic task decomposition and event
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of academic, government, industry partners, to recommend solutions or support institute leadership on prototypes for projects in application areas, including autonomous systems, robotics, and machine learning
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(http://ori.ox.ac.uk/labs/goals/) within the Oxford Robotics Institute (ORI), as part of the EPSRC Programme Grant in Embodied Intelligence (https://embodiedintelligence.web.ox.ac.uk) and other follow
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, for example AI agents and automated decision-support systems, seen from a systems perspective. The subject area includes, among other things: Scenario-based and simulation-based testing of autonomous systems