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Interdisciplinary Transformation University
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PhD in Computational X: AI & Sustainability Policy Lab Interdisciplinary Transformation University (IT:U) in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
Aug 5, 2026
Country
Austria
University
Interdisciplinary Transformation University

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About this position
Interdisciplinary Transformation University (IT:U) is advertising a PhD in Computational X within the AI & Sustainability Policy Lab. The position is supervised by Prof. Elisabeth Gsottbauer and sits inside IT:U’s Computational X PhD Program in Linz, Austria.
The research environment is highly interdisciplinary and combines AI, machine learning, econometrics, behavioral science, and sustainability policy. The lab’s work focuses on evidence-based decision-making in climate and conservation, with topics such as causal policy evaluation, field experiments, survey experiments, policy targeting, and prediction.
This is a PhD opening for one student, with a workload of 30 hours/week for up to four years. The post does not mention a scholarship name, tuition waiver, or stipend amount, but it clearly presents a funded-style doctoral employment opportunity rather than a self-funded call.
Applicants interested in quantitative social science, computational methods, climate policy, and conservation policy should review the full details and apply via the linked page before the deadline.
Deadline: August 5, 2026.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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