Are you fascinated by the physics of rogue ocean waves and eager to advance prediction tools using high performance computing? Lancaster University is offering a fully funded PhD opportunity to investigate the physics and prediction of rogue waves—rare, large ocean waves that appear unexpectedly. This transdisciplinary project brings together physics, oceanography, applied mathematics, data science, and computing to explore complex ocean phenomena and develop advanced prediction methodologies. The successful candidate will join a vibrant, multidisciplinary team and benefit from a team-based supervisory approach, with supervisors from computational, domain expert, and Earth/environmental science backgrounds. The research will focus on understanding the mechanisms behind rogue wave formation and leveraging computational tools to improve prediction accuracy. The project is part of the ExaGEO DLA initiative, which equips students with skills in exascale computing, geoscience, statistics, and computational engineering to address pressing challenges in Earth and environmental sciences. Applicants should have a strong background in physics, oceanography, geophysics, mathematics, engineering, or computational science, and a passion for extreme phenomena and computation. The program welcomes students from diverse academic backgrounds who are excited to work at the intersection of physical sciences and computational research. The PhD position is fully funded, with tuition fees, stipend, and a Research Training Support Grant provided via ExaGEO. The application deadline is January 9, 2026. For more information and to apply, visit the ExaGEO PhD projects page or contact the listed supervisors. The project offers a unique opportunity to work on cutting-edge research in ocean wave physics, prediction, and high performance computing, with strong support for multidisciplinary training and industry placements. Key research areas include rogue waves, oceanography, physics, prediction, high performance computing, applied mathematics, data science, geophysics, engineering, and computational science. The supervisory team includes Suzana Ilic (Senior Lecturer, Lancaster University), Aneta Stefanovska, Mike Thomas, and Bryan M. Williams. The position is based at Lancaster University, UK. To apply, prepare to select and rank three projects as part of the application process. Further details and application instructions are available on the ExaGEO website. Interested candidates are encouraged to reach out to the supervisors for more information.