Kavita Surana
4 days ago
PhD Position in Energy Technologies, Data Science, and Computational Methods at WU Vienna Vienna University of Economics and Business in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
Project-funded PhD position with dedicated mentoring in an interdisciplinary, international team. The post states the position is funded, but no stipend amount, tuition details, or other financial terms are given.
Country
Austria
University
WU Vienna University of Economics and Business

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About this position
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.
Funding details
Project-funded PhD position with dedicated mentoring in an interdisciplinary, international team. The post states the position is funded, but no stipend amount, tuition details, or other financial terms are given.
What's required
Applicants should have 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 particularly valuable.
How to apply
Read the full information via the linked post page and follow the 'More info here' link for application details. Prepare to apply for a PhD position at WU Vienna starting January 1, 2027. No direct application portal is provided in the post text.
More information can be found here
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