PhD Candidate in AI-Enabled Uncertainty Analysis for High-Fidelity Internet-of-Energy Digital Twins Norwegian University of Science and Technology in Norway

The Department of Ocean Operations and Civil Engineering at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD position in AI-Enabled Uncertainty Analysis for High-Fidelity Internet-of-Energy (IoE) Digital Twins. This position is part of the MSCA Doctoral Network project SAILING, which brings together leading research groups and industrial partners to develop intelligent, automated energy management systems powered by secure AI and advanced digital twin technologies.

The project addresses the challenges posed by the rapid integration of renewable energy sources, distributed devices, and digital technologies, which are transforming traditional power systems into complex IoE ecosystems. The successful candidate will focus on developing advanced AI-enabled methods for uncertainty analysis and quantification to support high-fidelity digital twins. Research will involve identifying, modelling, and integrating uncertainty factors from IoE devices and system dynamics, combining data-driven learning with knowledge-based modelling techniques. Applications include renewable energy systems (such as wind turbines), smart grids, and electrified platforms like electric ships or microgrids.

Expected outcomes include novel methods for device-level uncertainty analysis, system-level uncertainty knowledge representation, and enhanced robustness and reliability of IoE digital twins. The position offers opportunities for academic publications, popular science dissemination, and international collaboration, including conferences and research stays abroad.

Eligibility: Applicants must hold a relevant Master's degree in computer science, automation-related engineering, or equivalent, with a strong academic record (average grade B or better according to NTNU's scale). Experience in artificial intelligence, data analytics, uncertainty analysis, probabilistic modelling, statistical learning, machine learning, and knowledge of energy systems or smart grids is preferred. Good teamwork, communication, and analytical skills are essential. Admission to the Doctoral Programme in Engineering is required within three months of employment.

Funding: The position is fully funded for 3 years, with a gross annual salary of NOK 550,800 (subject to a 2% contribution to the State Pension Fund). Additional benefits include membership in the Norwegian Public Service Pension Fund and free basic Norwegian language training (A2 level).

Application: Applications must be submitted electronically via Jobbnorge.no, including all required documents (transcripts, diplomas, CV, project outline, references). The application deadline is 30 April 2026. For further information, contact Professor Houxiang Zhang.

NTNU is committed to diversity and inclusion, offering a supportive and international research environment in Ålesund, a city known for its unique architecture and natural beauty. The Department of Ocean Operations and Civil Engineering is a hub for innovation in maritime operations, integrating technology, human factors, and business.