Doctoral Researcher Position in Sustainable Supply Chain Management
📍 Zurich
Rolle und Verantwortlichkeiten
Companies are increasingly expected to manage social sustainability issues within their supply chains. Several countries (e.g., France, Germany, Norway) have implemented supply chain due diligence regulations aimed at ending modern slavery and unsafe working conditions. However, such issues continue to occur within global supply chains. In this context, the successful candidate will conduct doctoral research using quantitative and qualitative research methods, including engagement with industry partners and analysis of secondary data. The candidate will be part of a research project led by Dr. Christian Wagner and Prof. Dr. Stephan Wagner. Further responsibilities include supervising master’s theses, assisting with teaching, and participating in community outreach. Ideal candidates should be interested in and willing to write research-oriented papers for scholarly journals, academic proceedings, and practitioner journals. The dissertation is expected to consist of three high-quality papers intended for submission to top-tier journals.
Team / Beschreibung
The Supply Chain Management Group (Prof. Dr. Stephan Wagner) at the Department of Management, Technology, and Economics at ETH Zurich provides an inspiring, team-oriented research environment with a dynamic and international group of researchers. Our team has a strong track record of publishing in leading operations and supply chain management journals. The position offers close supervision and collaboration with leading faculty and senior researchers, as well as access to ETH Zurich’s excellent research infrastructure and strong international network of collaborators.
Qualifikationen und Fähigkeiten
Excellent master's degree in Industrial Engineering, Economics, Business Administration, or a related field
Excellent written and oral skills in English and, ideally, German
High level of motivation for academic research
Strong background in empirical methods and data analysis using statistical or econometric techniques
Demonstrate strong teamwork and social skills
Independence, proactivity, and exemplary organizational and project management abilities
Comfortable taking a leading role in research meetings with project partners and actively networking at conferences