23 parallel-and-distributed-computing-phd uni jobs at AIT Austrian Institute of Technology
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What to expect: The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 68.152,--. The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working...
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contribution to the economy and society. Our Center for Technology Experience located in Vienna , offers part-time positions for students related to future topics of Human-Computer Interaction - HCI. In our
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camera technology, optics, high-performance computing architectures and parallel processing Special interest in applied research and the solution of practical problems, ideally already project experience
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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
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, numerous and diverse projects address the functioning of soils, plants, microbiomes and their interactions. Your qualifications as an Ingenious Partner: Higher degree (preferably PhD) in Biology
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bachelor's degree) in the field of Computer Science, Software Development, Informatics, Electrical Engineering, or an equivalent qualification Experience in backend development and distributed systems
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focus on a variety of key technologies like Distributed IT Systems, Internet of Things, IoT, Cybersecurity, Data Science, Artificial Intelligence (AI), Blockchain Technologies, Quantum & Photonic
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of innovative solutions for our research projects. Within these projects we offer a variety of jobs: internships, final theses (Bachelor or Master thesis), PhDs, Junior positions as well as Senior positions in
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of ambitious and large-scale European research projects funded by the Horizon Europe programme. For our location in Vienna we are looking for:
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to develop intelligent solutions in computer vision, robotics and control. We work closely with industrial and academic partners to bring cutting-edge algorithms onto real machines and into real environments