Publisher
source

Javad Taghipour

3 days ago

PhD in Physics-Informed Machine Learning and Nonlinear Model Identification for Structural Dynamics Dyson Institute in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position; the official advertisement and application process will be shared later. No stipend amount or tuition details are provided in the post.

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Country

Netherlands

University

Disem Institute

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Keywords

Computer Science
Mechanical Engineering
Mathematics
Physics
Structural Dynamic

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About this position

Javad Taghipour, Senior Lecturer in Mechanical Engineering at the Dyson Institute, says a fully funded PhD position will be advertised soon.

The project sits at the intersection of physics-informed machine learning, nonlinear model identification, and structural dynamics. This is a strong fit for candidates interested in advanced engineering research that blends mechanics, data-driven modeling, and computational methods.

The post does not yet include the official advert, eligibility criteria, or application portal. It does confirm that the opportunity is a PhD opening and that funding will be provided. More details, including the application process, are expected to follow soon.

If you are interested in structural dynamics, machine learning, and engineering modeling, keep an eye out for the formal announcement from the Dyson Institute.

Funding details

Fully funded PhD position; the official advertisement and application process will be shared later. No stipend amount or tuition details are provided in the post.

What's required

Applicants should be passionate about structural dynamics, machine learning, and engineering research. The post does not list formal eligibility criteria yet, but it indicates a PhD-level research project in physics-informed machine learning and nonlinear model identification.

How to apply

Watch for the official advertisement and application process, which will be posted soon. No application link is provided yet.

More information can be found here

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