PhD Candidate in Physics-Informed RNNs for Autonomous Navigation and Neural Observer Design

The Department of Engineering Cybernetics at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD position focused on the development of physics-informed recurrent neural networks (RNNs) for autonomous navigation and neural observer design. This research is situated within the broader context of Embodied AI, aiming to integrate physical models with deep learning to create interpretable, data-driven observers. The project seeks to enable physically grounded perception and control, robust state estimation, and bias correction under uncertain sensing conditions. Supervision will be provided by Professor Thor I. Fossen, a leading expert in control systems and marine robotics, with Associate Professor Erlend M. Lervik Coates as co-supervisor. The successful candidate will join the Norwegian Centre for Embodied AI (NCEI), one of Norway’s six national AI centers, collaborating with top robotics and AI groups, industry partners, and public sector organizations. NCEI’s mission is to advance a universal science of embodied intelligence, exploring how intelligence emerges from the interaction between body, computation, and environment across various robot configurations, including flying, ground, and aquatic systems. As a PhD candidate, you will conduct high-quality research, participate in international conferences and research stays, collaborate across departments, and supervise master’s thesis students. The position offers opportunities for career development, including possible teaching duties. NTNU provides a vibrant, inclusive, and international research environment, with access to world-class facilities and strong institutional support. Eligibility: Applicants must hold a Master’s degree in cybernetics, control systems, or a closely related field, with strong training in control of marine vehicles and/or robots. Additional expertise in machine learning methods is advantageous. Candidates should have a strong academic record (average grade B or better on the NTNU scale), solid programming skills, and a robust background in mathematics and deep learning. Non-native English speakers must provide proof of English proficiency (TOEFL, IELTS, or Cambridge certificates). Final-year master’s students may apply, but employment will be postponed until the degree is completed. Funding: The position offers a gross annual salary starting from NOK 550,800, with a 2% statutory contribution to the State Pension Fund. The employment period is three years, and the position is conditional on external funding. As an employee, you will benefit from favorable terms in the Norwegian Public Service Pension Fund and access to NTNU’s employee benefits. Application Process: Applications must be submitted electronically via Jobbnorge.no, including transcripts and diplomas, CV, a short motivation letter, and contact information for at least two referees. If invited to interview, certified copies of certificates and diplomas must be presented. The application deadline is December 22, 2025. NTNU values diversity and encourages applications from candidates of all backgrounds. The university is committed to equality, inclusion, and a supportive work environment. Trondheim, the location of NTNU’s main campus, offers a rich cultural scene, excellent welfare services, and a high quality of life. For further information, contact Professor Thor I. Fossen at [email protected]. For recruitment process queries, contact HR Consultant Berit Dahl at [email protected]. Apply now to join a leading research team and contribute to the future of embodied AI and autonomous systems!