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University of Regensburg

PhD Research Associate in Corporate Social Responsibility Control, Reporting and Governance Using Machine Learning University of Regensburg in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

This is a Research Associate position for 30 hours per week, paid under the German TV-L E13 pay scale. The appointment is fixed-term for two years. The position offers support for the doctoral project, further training, participation in international scientific conferences, access to an international research network and company contacts, and a flexible work environment with creative freedom.

Deadline

Dec 14, 2026

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Country

Germany

University

University of Regensburg

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Keywords

Computer Science
Data Science
Corporate Governance
Business
Corporate Social Responsibility
Business Performance
Sustainability Reporting
Statistics
ML

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About this position

PhD Research Associate in Corporate Social Responsibility Control, Reporting and Governance

The University of Regensburg’s Chair of Corporate Social Responsibility is seeking a research associate to pursue a doctorate within a German Research Foundation (DFG)-funded project on the informational value of carbon-related narrative disclosures.

The project, titled “The Informational Value of Carbon-Related Narrative Disclosures: A Machine Learning Approach to Predicting Firms' Future Carbon Performance and Financial Performance,” investigates how narrative climate information in corporate reports can support the prediction of companies’ future financial and emissions indicators. The research examines the insights contained in text-based sustainability disclosures and whether these disclosures provide value beyond traditional financial and emissions measures.

The doctoral researcher will independently process work packages within the project and analyze extensive corporate reports using modern machine learning methods and specialized language models. The work sits at the interdisciplinary interface of corporate social responsibility, sustainability reporting, business administration, computer science and data science, with particular relevance to carbon performance, corporate governance and ESG-related information.

In addition to developing the doctoral research, the researcher will present findings at international scientific conferences, contribute to publications in international journals, and supervise student assistants as well as academic seminar papers and theses. The Chair’s research environment focuses on corporate sustainability and the informational value of company reporting for evaluating economic and sustainable development, while offering connections to international academic networks and companies.

Funding details

This is a Research Associate position for 30 hours per week, paid under the German TV-L E13 pay scale. The appointment is fixed-term for two years. The position offers support for the doctoral project, further training, participation in international scientific conferences, access to an international research network and company contacts, and a flexible work environment with creative freedom.

What's required

Applicants must have completed a university Master's degree in economics, computer science, business informatics, industrial engineering or a related field. A Master's grade of 2.0 or better is required. Good spoken and written English skills are required. Knowledge of statistics or machine learning/data science and experience with relevant software such as Stata, R or Python are advantageous. Knowledge of sustainability reporting, especially ESRS, is advantageous. Applicants should be interested in interdisciplinary research at the interface of computer science, data science and business administration, and demonstrate strong cooperation, teamwork and initiative.

How to apply

Submit your application online exclusively through the University of Regensburg application portal using the application button on the job posting. For questions, contact Professor Tobias Steindl by email or telephone.

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