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5 Nov 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Business Economics and Industrial Sociology Research Field Other Researcher Profile First Stage Researcher (R1) Country Austria Application Deadline 8 Dec 2025 - 23:00 (UTC) Type of...
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5 Nov 2025 Job Information Organisation/Company Graz University of Technology Department Institute of Visual Computing Research Field Computer science Researcher Profile First Stage Researcher (R1) Country Austria Application Deadline 27 Nov 2025 - 23:00 (UTC) Type of Contract Temporary Job...
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calculation of wave propagation phenomena (e.g. acoustics, earthquake waves, structural dynamics) Development of numerical methods for structural mechanics (beams and shells) Interaction of CAD and simulation
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skills Interest in PhD Thesis Knowledge in inverse problems and forward models Willingness to be mobile (work in international projects, conferences, etc.) Admission Requirements Completed master's
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University of Technology and was founded more than a century ago. Today; research at the institute includes the investigation of free atoms, molecules, and clusters with laser spectroscopic methods
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rhetorical skills in order to be able to work in an international scientific environment Methodical and autonomous work ethic with a high degree of teamwork ability Admission Requirements Completed master's
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systems. Its research integrates methods from mathematics, computer science and computational neuroscience. In teaching, the institute is responsible for courses and seminars that introduce students
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mixed methods. Contribute to the HCI and EdTech research team (https://www.tugraz.at/en/institute/hcc/research/research-groups/team-pammerschindler ). Engage in interdisciplinary collaboration with
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particular interest: Diffraction-based techniques such as 4D-STEM and spectroscopic, momentum-resolved methods such as EELS, as well as EDXS Expertise in electron microscopic preparation of nanoscale
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close-range photogrammetry (e.g., using drone and terrestrial LiDAR images) and advance the research field of photogrammetry, considering computer vision and artificial intelligence methods. Air