Publisher
source

Heidelberg University

PhD Position in Geometric Deep Learning for Crystalline Materials Design Heidelberg Institute for Theoretical Studies in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Heidelberg University

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Keywords

Computer Science
Materials Science
Carbon Capture And Storage
Deep Learning
Energy Storage
Mathematics
Artificial Intelligence
Differential Geometry
Physics
Machine learning

About this position

Heidelberg Institute for Theoretical Studies (HITS) is hiring a PhD position (m/f/x) in the Machine Learning and Artificial Intelligence (MLI) group.

The project is centered on Geometric Deep Learning at the intersection of machine learning, differential geometry, and materials science. The research aims to develop generative models, including diffusion models and flow matching, for the design of novel crystalline materials.

Application areas include energy storage and carbon capture, making this a strong fit for candidates interested in deep learning theory and scientific applications.

This is a PhD opening at the Heidelberg Institute for Theoretical Studies in Heidelberg, Germany. No deadline or funding details were stated in the post.

Interested applicants should use the provided application link and follow the instructions on the application page.

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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