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degree or equivalent Diploma degree Preferred fields of study: Computer Science, Information and Computer Engineering, Software Engineering and Management, Mathematics, or equivalent disciplines Extensive
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studies in the domain of environmental neuroscience. • This requires programming of experiments with human participants, typically in computer-based experiments in a neuroimaging or behavioral and stress
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Description Start date/duration 15.09.2026 for 4 years Job profile: Your responsibilities: PhD in the field of high-performance computing Independent research in the field of high-performance computing (HPC
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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or equivalent High competence in machine learning and robotics Knowledge and experience in computer vision is an advantage Good mathematical and programming skills (Python and C/C++; ROS is an advantage) Good
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Management, or Information and Computer Engineering, or equivalent fields of study. We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g
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Computer literacy and GIS knowledge Modelling experience in spatio-temporal analysis of earth surface processes High level of the English language in reading, writing and speaking Knowledge of principles
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, Information & Computer Engineering, Digital Engineering, or equivalent We Offer Interesting area of responsibility Collegial and friendly working atmosphere Flexible working schedule (e.g. possibility for home
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Aschenbrenner, PhD, is part of the Faculty of Mathematics at the University of Vienna. We are looking for a Senior Scientist to conduct research in model theory; to initiate an effort in computer-based
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research projects in the fields of machine learning, computer vision and explainable AI You develop and evaluate machine learning approaches for physiological or human-centered data, such as gait analysis