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. Further information: https://www.birmingham.ac.uk/postgraduate/pgt/requirements-pgt/international/index.aspx . References: Carbonneau et al (2020) ‘UAV-based training for fully fuzzy classification
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6 Nov 2025 Job Information Organisation/Company National University of Science and Technology POLITEHNICA Bucharest Department AIoT On-Board Localization System for UAVs in GPS-Denied or Unreliable
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Description PhD project will be carried out within the NCN OPUS 27 grant “Unmanned Aerial Vehicles (UAV) and satellites synergy for monitoring of Antarctic lichen communities (USNEA)”. The research aims
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results Website for additional job details https://posturivacante.upb.ro Work Location(s) Number of offers available1Company/InstituteAIoT On-Board Localization System for UAVs in GPS-Denied or Unreliable
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information systems, remote sensing data classification, data fusion, processing and visualization, as well as UAV data acquisition. The candidate will be responsible for courses for students of environmental
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(UAVs). The goal is to develop a system capable of analyzing and synthesizing multi-modal data—combining visual imagery with textual inputs—to enhance UAV capabilities in real-world applications
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of harvest using estimates of wood production constrained by UAV and Airborne laser scanning (LiDAR) surveys. Due to weather conditions, it is unsafe for several days to months after a cyclone or tropical
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
About the Project Project details: Aerial platforms such as Unmanned Aerial Vehicles (UAVs), High-Altitude Platforms (HAPs), and Low Earth Orbit (LEO) satellites will play a vital role in the next
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the programme please see http://nercgw4plus.ac.uk/ For eligible successful applicants, the studentships comprises: An stipend for 3.5 years (currently £20,780 p.a. for 2026/27) in line with UK Research
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need for reliable and autonomous offshore infrastructure inspection and surveillance. The project integrates unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater