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Interdisciplinary Transformation University

Postdoctoral Researcher in Data-Driven Sustainability Policy & Economics Interdisciplinary Transformation University in Austria

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Austria

University

Interdisciplinary Transformation University

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Keywords

Computer Science
Data Science
Behavioral Economics
Environmental Science
Political Science
Artificial Intelligence
Public Policy
Causal Inference
Environmental Sustainability
Climate Policy
Experimental Economics
Computational Social Science
Economics
Statistics
Machine learning

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About this position

Postdoctoral Research Opportunity in Data-Driven Sustainability Policy & Economics at the AI & Sustainability Policy Lab, Interdisciplinary Transformation University (IT), in Linz, Austria.

This postdoc is aimed at researchers interested in applying Artificial Intelligence, Data Science, and Economics to sustainability challenges and evidence-based public policy. The research areas highlighted include causal inference, policy evaluation, machine learning for sustainability, behavioural and experimental economics, climate and biodiversity policy, and computational social science.

Eligibility: Applicants must have a PhD in Economics, Data Science, Computer Science, Environmental Sciences, Political Science, Public Policy, or another related quantitative discipline.

Location: Linz, Austria.

Duration: Up to 4 years.

Funding: The post announces a postdoctoral contract, but does not specify salary or additional financial support.

Application: More information and the application link are provided in the post. Interested candidates should review the linked page and apply online.

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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