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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Architecture and Media Research Field Architecture Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Application Deadline 10 May 2026 - 23:00 (UTC) Country Austria Type...
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the Graz University of Technology, the IIM offers more than 30 courses for Bachelor, Master and PhD students. The IIM also has a unique infrastructure with the Schumpeter Laboratory for Innovation, the LEAD
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15 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of High Voltage Engineering and System Performance Research Field Engineering Computer science Technology Researcher Profile First Stage Researcher (R1) Application Deadline 15 May 2026 - 23:00...
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1 Apr 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Highway Engineering and Transport Planning Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 21 Apr 2026 - 23:00 (UTC) Country Austria Type of...
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, logic circuits and probabilistic circuits) publishing papers in leading AI/ML conferences and journals collaboration with project partners within BilAI supervision of Bachelor, Master and PhD projects
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partners. Employment RequirementsEmployment Requirements PhD-level university education in disciplines relevant for the position. Outstanding scientific qualification At least 2 years of experience with SAXS
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students and classes with a large number of participants) Admission Requirements Completed PhD in mathematics. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible
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Requirements Completed doctoral degree (PhD) in Physics, Materials Science, or a closely related field. Proven expertise in experimental solid-state physics, with a specific focus on magnonics, spintronics