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Resilient Federated Learning for Autonomous Systems under Distribution Shifts School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students Dr Inaki Esnaola
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engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent Path Planning for Autonomous Drone Operations
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an exciting research project on Counter-Unmanned Aerial Systems (C-UAS). The successful candidate will lead cutting-edge research in autonomous robotic systems for detecting, tracking, and
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autonomous robotic workflows. Prepare technical reports, research publications, presentations, demonstrations, and other project deliverables. Requirements Applicants should preferably have: A PhD
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scenes for enhancing the perception system performance for autonomous vehicles (AV). Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the
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Research Fellow (Smart Monitoring and Autonomous Systems) - School of Engineering - 108002 - Grade 7
Closing date: 6th October 2026 UK and International travel may be required for this role Background To create and contribute to the creation of knowledge in the area of Smart Monitoring and Autonomous
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At our department, which conducts research at the highest international level and offers several high-quality educational programs in Computer Science, we are now seeking 1-2 PhD Students with a
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Apply now » Internal Research Fellow (PostDoc) in Onboard Agentic AI for Autonomous EO Constellations Job Requisition ID: 20564 Date Posted: 27 July 2026 Closing Date: 31 August 2026 23:59 CET/CEST
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researcher to join the newly funded AURA (Autonomous Unified RAN Architecture) project. AURA introduces autonomous AI-driven network management across critical network infrastructure, utilising AI agents
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₂ reduction. The successful candidate will design and integrate automated materials fabrication and characterization workflows with agentic AI systems to enable autonomous experimentation and data-driven