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).Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level.You must have a professionally relevant background in Electrical Engineering, Computer Science, Applied Mathematics, or other relevant disciplines.Conducting high quality research and reporting progress on a regular basis and in agreement with the supervisors.Undertaking the necessary courses (30 ECTS) as part of the PhD program.Submitting an application for admission and a research plan no later than 3 months after the employment.Your immediate leader is the Head of Department. The activities related to this position include: (i) time-series transient modeling and monitoring of start-up and shut-down filling process in CCS systems and (ii) defining a simulated environment based on data-driven machine learning for water/CO2 transferability and full-scale design optimization. The focus of the PhD contribution to the project is related to “Transient Modeling and Uncertainty Analysis for Digital Twins of CCS Systems”. The PhD candidate will have the opportunity to be affiliated with the with the Norwegian Open AI lab, and to collaborate with research scientists from international partner institutions. Use cases for the project PREFERENCE are related to Carbon Capture and Storage (CCS). The main objectives of the project include the development and the integration of signal processing and machine learning methodologies aiming at decision support and system design. Big data, Internet of Things (IoT), digital twins and artificial intelligence (AI) represent key enablers of the digital transformation impacting several domains. The position is linked to the project PREFERENCE (a project partially funded by the Research Council of Norway and in collaboration with other Norwegian partners). For a position as a PhD Candidate, the goal is a completed doctoral education up to an obtained doctoral degree.

Signal processing machine learning