Publisher
source

National Institute of Technology

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Postdoctoral Fellowship in Atomistic Modelling and Machine Learning for Polymer Nanocomposites National Institute for Theoretical and Computational Sciences in Japan

Degree Level

Postdoc

Field of study

Computer Science

Funding

Available

Deadline

Oct 23, 2026

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Country

Japan

University

National Institute of Technology

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Keywords

Computer Science
Chemical Engineering
Materials Science
Engineering Applications
Nanocomposite
Physics
ML

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About this position

NITheCS is advertising a Postdoctoral Fellowship in atomistic modelling and machine learning focused on polymer nanocomposites for energy and space applications.

This opportunity is best aligned with researchers in Materials Science, Physics, Computer Science, and related areas such as Chemical Engineering. The post highlights computational and data-driven research at the intersection of advanced materials design and applied modelling.

Deadline: Apply by 23 Oct 2026.

Funding: The post announces a postdoctoral fellowship, but no stipend, salary, tuition, or other financial details are provided in the text.

How to apply: Use the application link shared in the post and follow the instructions on the destination page. Submit before the stated deadline.

Funding details

Available

What's required

Applicants should be suitable for a postdoctoral fellowship and have interest or experience in atomistic modelling and machine learning. The project focuses on polymer nanocomposites for energy and space applications.

How to apply

Apply by 23 Oct using the link shared in the post. Open the shortened application URL from the post and follow the application instructions on the destination page.

More information can be found here

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