Publisher
source

EjadLab

2 PhD Positions in Computational Catalysis, Multiscale Methods, Machine Learning, and Uncertainty Quantification HeydenLab

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Country

-

University

EjadLab

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Keywords

Computer Science
Chemistry
Materials Science
Quantum Mechanics
Uncertainty Analysis
Statistical Mechanics
Classical Mechanics
Physics
ML

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About this position

HeydenLab announces 2 open PhD positions in computational catalysis.

The research focuses on developing and applying novel computational tools rooted in classical mechanics, statistical mechanics, and quantum mechanics, with emphasis on multiscale methods, machine learning, and uncertainty quantification.

This is a strong fit for students interested in chemistry, materials science, physics, and computational science. The post does not mention a specific university, country, stipend, tuition coverage, or deadline.

A notable benefit is that there is no application fee mentioned in the announcement.

If you are interested, review the lab’s post and follow any application instructions shared by HeydenLab. Since no direct application portal or email is included in the post, you may need to look for a linked lab page or contact details elsewhere.

Funding details

Available

What's required

Applicants should be interested in computational catalysis and in developing/applying computational tools rooted in classical, statistical, and quantum mechanics. The post highlights focus areas in novel multiscale methods, machine learning, and uncertainty quantification. No other eligibility criteria are stated.

How to apply

Check the HeydenLab/X post for the opening and apply through the lab's stated application process if provided elsewhere. No application fee is charged.

More information can be found here

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