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Leibniz-Institute for New Materials

PhD Student Positions in Machine Learning for Data-Driven Materials Design INM-Leibniz Institute for New Materials in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Germany

University

Leibniz-Institute for New Materials

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Keywords

Computer Science
Chemistry
Materials Science
Computational Chemistry
Physics
Structural Materials
Machine learning

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About this position

INM-Leibniz Institute for New Materials is advertising PhD student positions in the Data-Driven Materials Design group led by Viktor Zaverkin. The research focuses on machine learning methods to model and design molecules and materials, making this a strong fit for applicants interested in materials science, computer science, and related interdisciplinary research.

The positions are offered in collaboration with Universität des Saarlandes and the Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), suggesting a collaborative environment spanning materials research and AI-driven methods. The post emphasizes an interdisciplinary team working at the forefront of materials research and innovation.

No detailed eligibility criteria are provided in the post itself, but the opportunity is clearly for PhD-level applicants. Funding details, stipend amount, tuition coverage, and deadline are not stated in the post excerpt.

Interested candidates are directed to the full vacancy page and application portal via the provided link.

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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