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source

RHI Magnesita

PhD in AI-driven automation and classification of spent refractory materials RHI Magnesita in Austria

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

RHI Magnesita

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Keywords

Computer Science
Environmental Science
Chemical Engineering
Materials Science
Artificial Intelligence
Automation
Quality Control
Circular Economy
Text Classification

About this position

RHI Magnesita is advertising a PhD opportunity focused on AI-driven automation and classification of spent refractory materials, with special attention to fine fractions that are currently underutilised.

The project sits at the intersection of Materials Science, Computer Science, and industrial recycling. The research aims to improve efficient recycling and quality control while supporting the circular use of raw materials. This makes it a strong fit for candidates interested in applied AI, industrial automation, materials processing, and sustainability-oriented research.

The post is shared by Ramona Oros (Innovation Management Professional at RHI Magnesita, Vienna, Austria). She suggests interested applicants review the linked job post for full details and contact her colleague Simone Sedlazeck for more information.

No deadline, funding package, or formal eligibility criteria are stated in the post itself, so applicants should consult the linked announcement for the complete application process and requirements.

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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