Postdoc in Physics-Informed ML for Offshore Wind

University of Bergen; Norway; On-site; NOK 617,000 - 754,000; Full time

Benefits offered by this job

Norwegian Public Pension

Job summary

University of Bergen invites applications for a Postdoctoral Research Fellow position in Physics-Informed Machine Learning for offshore wind. The role focuses on linking basic and applied research within the MEGA group, with opportunities for collaboration across 9 partners in the EU/EEA and external research visits funded by the Horizon Europe project.

The appointee will develop data-driven surrogate models, implement physics-informed reconstruction algorithms, and participate in

Qualifications

• PhD in a relevant field and awarded or accepted for assessment before applying.
• Documented high-quality journal papers in relevant topics.
• Experience with research activities and interdisciplinary work is advantageous.
• Ability to work independently and collaboratively, with good communication skills in English.

Responsibilities

• Develop new and review data-driven surrogate models for real-time reconstruction and forward simulations.
• Create numerical algorithms for physics reconstruction using sparse data.
• Implement assimilation pipelines combining physics and surrogate models.
• Collaborate with project teams and participate in project activities.

Skills

English proficiency

Education

PhD in Marine Engineering/Applied Mechanics/Physics/CS

Job description

University of Bergen invites applications for a Postdoctoral Research Fellow position in Physics-Informed Machine Learning for offshore wind. The role focuses on linking basic and applied research within the MEGA group, with opportunities for collaboration across 9 partners in the EU/EEA and external research visits funded by the Horizon Europe project.

The appointee will develop data-driven surrogate models, implement physics-informed reconstruction algorithms, and participate in