Publisher
source

IRTA

Fully Funded PhD in AI and Fluid Dynamics for Pollutant Field Reconstruction LEMTA in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

IRTA

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Keywords

Computer Science
Environmental Science
Biomedical Engineering
Mechanical Engineering
Artificial Intelligence
Fluid Mechanics
Workplace Safety
Radiation Protection
Physics

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About this position

Fully funded PhD opportunity (36 months) in AI and Fluid Dynamics at LEMTA, France, in collaboration with INRS and ASNR.

The project focuses on developing Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNO), and DeepONet for 3D pollutant field reconstruction and real-time source identification in ventilated environments. The research is strongly oriented toward pollutant flow analysis, worker safety, and radioprotection.

This is a research-intensive opening for candidates interested in computer science, physics, environmental science, and mechanical engineering, especially those with experience or interest in scientific machine learning, computational modelling, and fluid flow problems.

The post indicates the PhD is fully funded and lasts 36 months. No stipend amount, tuition details, or formal eligibility criteria are provided in the post.

Start date: Oct 2026–Jan 2027. Interested applicants are directed to follow the WhatsApp channel for more information, or contact the poster via WhatsApp if they cannot join the channel.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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