Post-Doctorant F/H Tidal resource assessmen, uncertainty quantification and optimization in the Alderney Race
Inria · Paris
Research instituteonsitepostdoc
At a glance
Highlights
- Improve hydrodynamic models for tidal energy in the Alderney Race.
- Build fast surrogate models to predict farm-scale turbine wake effects.
- Optimize tidal array layouts under uncertainty to maximize energy.
Ideal candidate
Collaborative researcher passionate about fluid mechanics and tidal energy who enjoys bridging physics-based modeling with data-driven methods to tackle uncertainty and real-world renewable challenges.
Requirements
- English proficiency
- Teamwork and collaboration
- Background in fluid mechanics
- Background in turbine engineering
- Background in geophysical flows
Lab profile
About Inria
French national research institute advancing digital sciences, computing, AI and applied mathematics.
What they build
- Digital sciences and computing research
- Artificial intelligence for microscopy and video analysis
- Quantum information theory
Known for
- Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
- Embedded in Paris-Saclay science and technology cluster
- Rich R&D ecosystem with startups, industry and clusters
- International collaborations and multinational scientific staff
Key facts
- Founded in 1967
- Headquartered in France
- Nine research centres across France
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