PhD Candidate in Unified Autonomy across Robot Configurations

About this job

https://youtu.be/Xt-yHCN5QS0 About the position Robotic autonomy still lacks a universal architectural blueprint capable of operating across the wide diversity of robot configurations found in aerial, ground, and aquatic domains. Today’s autonomy stacks remain highly specialized to each morphology, in sharp contrast to the conserved neural organization of the mammalian brain, which provides a common computational blueprint across species despite profound differences in body plan and ecological niche. Motivated by this analogy – and building on recent advances in foundation models, neural model predictive control, and robotic world models – this PhD project will investigate principles and mechanisms for a shared autonomy architecture that generalizes across embodiments. The overarching ambition is to advance the foundations of a universal science of embodied AI, where perception, action, and learning are co-designed to support intelligent behavior in robots of fundamentally different forms. The PhD candidate will be supervised by Kostas Alexis, head of the Autonomous Robots Lab (ARL), and the position is part of the recently-funded Norwegian Centre for Embodied AI. About the project Join a nation-wide team: The Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, is recruiting outstanding researchers to advance a universal science of embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body, computation, and environment, across flying, ground, and aquatic robot configurations. Our mission is to chart a generalizable path for physical AI and transform how robot morphology and autonomy are co-designed, enabling new generations of systems tailored to their operational environments and missions. Successful candidates will join an international community with world-class facilities and strong collaborations across Norwegian universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Fundamental contributions in embodied AI – unified autonomy architectures, foundation models and robot world models. Focus on implementable methods for onboard robotic autonomy. Experimental deployments and field evaluation of the conducted research. Complete your doctoral education leading to the PhD degree. Conduct and publish research of high-quality within the framework described above. Participate in international activities such as conferences and/or research stays abroad. Collaborate with other researchers within the department, and across departments at NTNU. Supervise master’s thesis students related to the project. Be prepared for changes to your work duties after employment. Required selection criteria You must have a Master's degree in cybernetics, control systems, or equivalent, with a strong training in robotics or computer vision or machine learning. Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level. You must have a strong academic background from your previous studies and an average grade from the master's degree program, or equivalent education, which is equal to B or better compared with NTNU's grading scale. If you do not have letter grades from previous studies, you must have an equally good academic basis. If you have a weaker grade background, you may be assessed if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the faculty's doctoral program (see: https://www.ntnu.edu/ie/research/phd ). You must meet the requirements for admission to the IE Faculty. PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”. The appointment is to be made in accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) and philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Solid theoretical background in robot perception and navigation. Deep foundation in modern machine learning. Solid programming skills in C++ and Python. Experience with ROS is a plus. Ex

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