Postdoc in Physics-Informed ML for Offshore Wind

Universitetet i Bergen

Bergen

On-site

NOK 617,000 - 754,000

Full time

12 days ago
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Benefits offered by this job

Norwegian Public Service Pension Fund
Good welfare benefits
Salary as postdoc

Job summary

The Department of Mathematics at Universitetet i Bergen invites applications for a postdoctoral research fellow position within Physics-Informed Machine Learning for offshore wind. The appointment is fixed-term for three years, linked to a Horizon Europe project with UiB as partner.

The successful candidate will develop data-driven surrogate models, numerical algorithms for physics reconstruction, and assimilation pipelines; collaborate with international partners, and contribute to project

Qualifications

  • PhD in a related field or submitted for assessment by deadline.
  • Documented high-quality journal papers on relevant topics.
  • Ability to work independently and in a structured manner.
  • Good written and oral English skills.
  • Interdisciplinary research experience is an advantage.

Responsibilities

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

Skills

English proficiency
Independent work
Collaboration
Interdisciplinary experience

Education

PhD required

Job description

The Department of Mathematics at Universitetet i Bergen invites applications for a postdoctoral research fellow position within Physics-Informed Machine Learning for offshore wind. The appointment is fixed-term for three years, linked to a Horizon Europe project with UiB as partner.

The successful candidate will develop data-driven surrogate models, numerical algorithms for physics reconstruction, and assimilation pipelines; collaborate with international partners, and contribute to project

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