Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
Leibniz-Institute for New Materials
4 days ago
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 availableCountry
Germany
University
Leibniz-Institute for New Materials

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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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