Kavita Surana

WU Vienna (Vienna University of Economics and Business) is advertising a PhD position in the Institute for Data, Energy, and Sustainability (IDEaS), supported by the BMIMI Endowed Professorship for Data-Driven Knowledge Generation: Climate Action. The project sits at the intersection of energy technologies , energy infrastructure , data science , and computational methods . The research focus is on why energy technologies and infrastructure succeed or stall, and how technology, firms, investors, and policy shape those outcomes. Example topics include offshore wind, geothermal, hydrogen, CCUS, and energy grids. The role also emphasizes building and harmonizing novel datasets from unstructured and heterogeneous sources, using NLP , large language models (LLMs) , and other information extraction methods. On the empirical side, the project involves econometrics, statistics, and/or network analysis to study drivers of energy and infrastructure project outcomes. This is a project-funded PhD with dedicated mentoring in an interdisciplinary, international team. The starting date is January 1, 2027 . The post encourages women to apply. Eligibility highlights include strong Python or R skills, masters-level training in information systems or data science-related methods, and an interest in energy and climate topics. Experience building datasets is especially valuable. For more information, use the linked post page and follow the external info link provided by the poster.