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test plans for process and material investigations, as well as a solid understanding of materials science. Experience in characterisation methods, particularly diffraction techniques, is an advantage
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personal sphere of influence University of Vienna is offering a PhD position (University Assistant, Praedoc) at the Department of Statistics and Operations Research. The position is intended to support a
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interested in behavioral aspects pertaining to organizational design decisions relevant to firms operating in (technologically) innovative environments. We are agnostic to methods and pursue formally
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• Experience in supervising students (BEd, MEd, PhD) • Excellent knowledge of qualitative and/or quantitative methods of empirical social science/educational psychology/teaching and learning research
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quantum mechanics-based methods for the description of condensed matter systems, including the successful software package VASP (Vienna ab-initio Simulation Package). Currently, the group consists of two
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computational software development. You enjoy working in a team where you contribute your expertise and skill set to deliver an ambitious research vision and where you can contribute to the training of PhD and
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dynamics simulations. You will contribute to the development of broadly applicable electronic structure methods, new software, and machine learning methods with the specific goal to accelerating
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polynomial processes, rough paths, signature methods, neural S(P)DEs, McKean-Vlaslov equations, stochastic portolio theory, control theory and contemporary stochastic volatility modeling. The successful
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: https://doschem.univie.ac.at/ The Organic Synthesis Group of Prof. Maulide at the Faculty of Chemistry is currently seeking a PhD student with research experience in organic chemistry and natural product
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the design of nanostructured catalyst materials to provide optimal reaction selectivity and activity. You will contribute to the development of new dynamics software and machine learning methods