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Paola Cinnella

5 days ago

Postdoctoral Researcher / Research Engineer in Data-Driven CFD and Turbulence Modeling Sorbonne Université in France

Degree Level

Postdoc

Field of study

Computer Science

Funding

12-month postdoctoral/research engineer position with possibility of renewal. Salary depends on qualifications and previous experience. Horizon Europe Sci-Fi-Turbo project context.

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Country

France

University

Sorbonne Université

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Keywords

Computer Science
Mechanical Engineering
Aerospace Engineering
Mathematics
Computational Science
Python Programming
Turbomachinery
Data-driven Modeling
Surrogate Modeling
Physics

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About this position

Postdoctoral Researcher / Research Engineer in Data-Driven CFD at Sorbonne Université in Paris, France.

This urgent opening is within the Horizon Europe Sci-Fi-Turbo project and the #DataDrivenCFD team led by Paola Cinnella. The successful candidate will work on computational fluid dynamics, scientific machine learning, and data-driven modeling for next-generation turbomachinery.

Research topics include RANS, LES, development of data-driven turbulence models, multi-fidelity surrogate models, and LES-driven optimization workflows. Experience with turbomachinery flows is a strong advantage.

Eligibility highlights: strong skills in CFD, scientific computing, and Python; immediate or near-term availability; and the ability to take up employment in France quickly.

Funding: 12 months with possibility of renewal; salary depends on qualifications and previous experience.

How to apply: email a CV, publication list, and the names/contact details of 2–3 referees to [email protected]. The post asks interested candidates to apply promptly because of the short recruitment timeline.

Funding details

12-month postdoctoral/research engineer position with possibility of renewal. Salary depends on qualifications and previous experience. Horizon Europe Sci-Fi-Turbo project context.

What's required

Candidates should have strong skills in Computational Fluid Dynamics, especially RANS and LES, scientific machine learning or data-driven modeling, Python, and scientific computing. Experience with turbomachinery flows is a strong plus. Immediate or near-term availability and the ability to take up employment in France rapidly are important. Applicants should provide a CV, publication list, and contact details for 2–3 referees who can comment on scientific and technical skills.

How to apply

Send a CV, publication list, and the names and contact details of 2–3 referees to [email protected]. Apply as soon as possible due to the urgent recruitment timeline.

More information can be found here

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