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Programme, which offers dedicated skill developments as well as training sessions, collaborative work on shared research topics, and active exchange among students and experts. The programme is designed
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AI:AT – the AI Factory Austria – is making Austria a hotspot for Artificial Intelligence in Europe. AI:AT is a joint project of AIT and Advanced Computing Austria. It brings together top-level expertise in high-performance computing, artificial intelligence, and data ecosystems, creating an...
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an independent research profile in the field of marketing, ideally with a focus on empirical generalizations/meta-analyses in advertising and/or pricing. You are involved in research projects and scientific
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psychological domains, with a particular focus on applications in anxiety disorders and meta-scientific/methodological questions in psychological research. The ideal candidate will have experience in conducting
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving
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structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors
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organise scientific events. You prepare and complete a publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master
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programme "Philosophy and Economics" (within the scope of the provisions of the collective bargaining agreement). participate in examination activities, evaluation measures and in quality assurance. take on
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of their acceptability and functionality. The master theses projects will be part of the AIT Technology Experience Center´s Next Generation HCI Talents Programme, which offers dedicated skill developments as
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to the department Ph.D. program and will work on the development and analysis of statistical methods for machine learning, particularly in the context of high-dimensional models and with a particular focus on methods