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interest in 3D modeling, generative methods/scripting, parametric design, AI methods, visualization, digital fabrication Didactic talent and enjoying interdisciplinary working and learning methods
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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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), software development (-economics) or similar. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g. possibility for home office, paid lunch
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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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) spectroscopy, microwave measurements of spin dynamics, magneto-optical methods, and nanoscale device characterization). Co-development of software solutions for automated experiments and data analysis
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the fields of natural science as well as engineering. The aim of the professorship is to advance SAXS methods and related modern characterization procedures in order to further enhance and develop the existing
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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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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