Atle Jensen

PhD Research Fellow opportunity in Fluid Mechanics at the University of Oslo , linked to the newly established Norwegian Maritime AI Centre . The project sits at the intersection of fluid mechanics , underwater acoustics , and machine learning . The successful candidate will work on detecting underwater acoustics using AI, combining CFD simulations with physics-informed machine learning (PINNs) . This is a research-intensive doctoral opening with collaboration across researchers, fellow PhD candidates, and world-leading industry partners. The role is especially relevant for applicants interested in computational and data-driven approaches to physical systems, marine technology, and applied modeling. Eligibility highlights: a Master's degree in fluid mechanics, applied mathematics, or physics; strong interest in AI/ML methods for physical problems; experience with HPC, CFD, or marine technology is a plus. Institution: Department of Mathematics, University of Oslo, Norway. Application: apply via the official Jobbnorge posting. No deadline was stated in the provided text.

Fully funded PhD Research Fellow position in Fluid Mechanics at the University of Oslo , Department of Mathematics, Norway. The project is centered on underwater acoustics detection using AI methodologies , with additional research in CFD simulations and physics-informed machine learning . Relevant academic interests include fluid mechanics, computational fluid dynamics, AI/ML, physics-informed neural networks, and underwater acoustics. This is a 3-year PhD opening with a salary of NOK 550,800–595,000 per year . The post is advertised as fully funded, making it a strong opportunity for candidates seeking a research doctorate in computational and physical modeling. Contact persons listed in the post are Prof. Atle Jensen and Prof. Mikael Mortensen at the University of Oslo. Interested applicants should review the official vacancy page on Jobbnorge and submit their application before the deadline. Deadline: 5 August 2026.