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Operations Research (https://isor.univie.ac.at/ ) of the University of Vienna is offering a PhD position in the area of Mathematical Statistics and Machine Learning, starting on 01 March 2027. The group's
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to apply Website https://iventajobdata.eu/bestmedia/img/2502621/2003273/cl/147a658ff5227583c5e60… Requirements Specific Requirements Your personal sphere of influence: The Department of Behavioral and
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at the University of Vienna thrive on continuous exploration and curiosity and help us better understand our world. Does this sound like you? Then join our accomplished team! Where to apply Website https
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our areas of academic research here: https://lit-ktf.univie.ac.at Your future tasks: You will actively participate in research, teaching, and administration, which means: Preparing a dissertation in our
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, the outstanding research projects, the interdisciplinary cooperation and the collegial exchange in our faculty. Our current research focuses on Software Protection, Machine Learning/AI und Security und Security and
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Join the Responsible Machine Learning (ML) Group at the Faculty of Computer Science. Led by Prof. Dr. Martin Pawelczyk, who recently joined the University of Vienna from Harvard University, our research
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phenotyping, machine learning and advanced statistical approaches. The doctoral project will be developed jointly with the successful candidate and tailored to their methodological background, previous research
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of the ./studio3 research group, addressing current transdisciplinary issues at the interface of architecture, art, culture, new media and innovative technologies, in-depth knowledge of analogue and digital artistic
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, and in non-human animals) in our approach. Further information about current and past research of the lab can be found on our webpage https://scan-psy.univie.ac.at/research/ Your future tasks: We
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data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data