PhD Fellow: Data-Driven Mechanics for Offshore Wind Energy

Universitetet i Bergen; Bergen; On-site; NOK 534,000 - 653,000; Full time

Job summary

The University of Bergen invites applications for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at the Geophysical Institute (GFI). The three-year fellowship may extend to four years depending on teaching needs and qualifications.

The project bridges fundamental and applied research in the Bergen Offshore Wind Centre, aiming to develop data-driven approaches for aero-hydro-elastic analysis of offshore wind turbines and to publish results in leading

Qualifications

• Master's degree or equivalent in engineering, informatics, mathematics or physics.
• Programming skills in Fortran or C++ are required.
• Excellent written and oral English skills.
• Ability to work independently and in a structured, collaborative manner.

Responsibilities

• Develop data-driven computational mechanics for aero-hydro-elastic analysis of offshore wind turbines.
• Collaborate with Bergen Offshore Wind Centre (BOW) and Geophysical Institute (GFI).
• Publish results in high-quality international journals.

Skills

Programming skills

Fortran/C++

High-performance computing

Written English

Oral English

Education

Master's degree or equivalent

STEM degree in engineering/informatics/mathematics/physics

Job description

The University of Bergen invites applications for a PhD Research Fellow in Data-Driven Computational Mechanics for Offshore Wind Energy at the Geophysical Institute (GFI). The three-year fellowship may extend to four years depending on teaching needs and qualifications.

The project bridges fundamental and applied research in the Bergen Offshore Wind Centre, aiming to develop data-driven approaches for aero-hydro-elastic analysis of offshore wind turbines and to publish results in leading