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Field
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autonomous systems, robotics, flexible asset (e.g., storage, electric vehicles) management in smart grids, etc. You will publish scientific articles related to the research project. You will carry out a
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-stationarity. Potential application domains include autonomous systems, robotics, flexible asset (e.g., storage, electric vehicles) management in smart grids, etc. You will publish scientific articles related
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of Science and Technology, with strong interdisciplinary research environments spanning data science, machine learning, engineering, robotics, physics, mathematics, and sustainable technology development
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(including knowledge management), software development for and on smartphones and tablets, and intelligent autonomous robots. Furthermore, the institute deals with the teaching of artificial intelligence in
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evaluation scenarios alongside academic research training. It would suit candidates interested in careers in academia or industry, especially in AI, sensing, autonomy, robotics, or embedded systems. Background
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to qualify for security clearance at level CONFIDENTIAL or higher. https://lovdata.no/dokument/NLE/lov/2018-06-01-24/KAPITTEL_8#KAPITTEL_8 The appointment is to be made in accordance with NTNUs guidelines
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that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program(https://www.ntnu.edu/studies/phiv ) Very good English skills (both
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: Semantically Safe Robot Interaction (ID: TUEILSY-PHD20240930-SSR) Distributed Multiagent Planning and Control for Large Aerial Swarms in Changing Environments (ID: TUEILSY-PHD20240930-SAS) Safe Collaborative
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17.05.2026, Academic staff In networks of robots and unmanned aerial vehicles, the ability to exactly coordinate the observations of the different devices is key for successfully carrying out
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16.05.2026, Academic staff For applications in networks of robots and unmanned aerial vehicles, reliable coordination is essential. Such systems are particularly vulnerable to jamming and