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apply for the PhD below. https://www.phdscanner.com/opportunities/phd-vacancies-university-of-southampton-united-kingdom-robotic-monitoring-for-place-recognition-and-change-detection-in-dynamic-underwater
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Underwater Manipulation: Modern AI has demonstrated remarkable capabilities in learning, adaptation, planning, and decision-making. However, autonomous underwater manipulation presents challenges that remain
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simulations to analyse underwater vehicle performance Access to world-class facilities at DSTG Fishermans Bend and the Australian Maritime College Full time and Fixed-Term (June 2028) based in Victoria with
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Scholarship Details Eligible courses Applicants must be in a course which embraces Marine Science; Underwater Technology or Offshore Engineering. They must be in their last two years of their undergraduate
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awarded 1 Eligible courses Applicants must be in a course which embraces Marine Science; Underwater Technology or Offshore Engineering. They must be in their last two years of their undergraduate degree
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technology, alongside local ecological knowledge, genetic sampling, sonography, blood sampling and hormone analysis, underwater video, and autonomous underwater vehicles. The successful candidate will support
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Sciences and Universities Network (ADSUN) and Defence Innovation Network (DIN) project to conduct underwater trial using a sovereign quantum vector magnetometer. The objective of the project is to use
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replicas of biological models, as well as bio-inspired and conventional underwater robots, to be deployed in both laboratory and field environments. Activities related to underwater robotics will include
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of new sensors, platforms, and sensing paradigms to answer fundamental questions in oceanography and to advance the use of autonomous underwater vehicles. Specifically, the research will advance the use
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. The studentship will start on 1st January 2027. Project Description This PhD focuses on developing and deploying underwater cameras systems to reveal patterns of habitat use by inshore fish assemblages and to