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Field
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the development of bio-inspired robotic replicas for swarm collaboration studies, as well as traditional robotic platforms for autonomous operations, including in extreme environments. Availability to participate
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will also investigate process optimisation algorithms, providing a route toward autonomous optimisation and ultimately enabling long term stable operation under variable load conditions. This post is
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/publication record Ability to conduct research autonomously Breadth of exposure coming from past and/or current research/activities Ability to gather and share relevant information General interest in space and
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The Center for Nanoscale Materials (CNM) at Argonne National Laboratory invites applications for a postdoctoral research position focused on developing AI/ML methods for autonomous materials
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involving large companies under the “Autonomous Systems, Robotics, and Machine Tools” track of the IASMIN Platform (a FAPESP Applied Research Center in AI). The work is to be carried out on-site
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for bioinspired robotics. The main focus of this project is how neural circuits in the motor system of the fly, Drosophila melanogaster, orchestrate limb movements and autonomous behavior in complex environments
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undergraduate students, collaborate with other researchers. The postdoctoral research associate is expected to publish research findings in peer-reviewed high-impact journals. Required Qualifications PhD in
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reinforcement learning approaches for autonomous guidewire shaping and control. • Design experiments, validation strategies, and quantitative performance metrics for robotic navigation and wire-shaping systems
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3 Jul 2026 Job Information Organisation/Company Autonomous University of Madrid (Universidad Autónoma de Madrid) Department Teaching and Research Staff (Personal Docente e Investigador) Research
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explores the emerging risk landscape posed by the deployment of autonomous LLMs that can execute tasks, manipulate system settings, and interface with web services—moving beyond mere text generation to real