Doctoral Researcher Position in Sustainable Supply Chain Management

The role is a Doctoral Researcher in Sustainable Supply Chain Management at ETH Zurich. The Supply Chain Management Group, led by Prof. Dr. Stephan Wagner, focuses on advancing knowledge in this field. The group is known for its high-quality research and strong international collaborations. The main responsibilities involve conducting doctoral research using both quantitative and qualitative methods. This includes working with industry partners and analyzing secondary data. The researcher will also supervise master's theses, assist with teaching, and engage in community outreach. Additionally, the role requires writing research papers for academic and practitioner journals, with the dissertation expected to include three high-quality papers. To qualify, candidates must have a strong academic background with an excellent master's degree in Industrial Engineering, Economics, Business Administration, or a related field. Proficiency in English is required, with German being an asset. Strong empirical methods and data analysis skills using statistical or econometric techniques are essential. Candidates should also demonstrate strong teamwork and social skills, as well as independence, proactivity, and excellent organizational and project management abilities. Nice-to-have skills include a willingness to take a leading role in research meetings and actively network at conferences. The workplace offers a dynamic and international environment with close supervision and collaboration with leading faculty and senior researchers. The location in Zurich provides access to excellent research infrastructure, course offerings, and career development programs. The team values diversity, sustainability, and an inclusive culture. What the role asks for: - A master's degree in Industrial Engineering, Economics, Business Administration, or a related field. - Excellent written and oral skills in English. - A strong background in empirical methods and data analysis using statistical or econometric techniques. - Strong teamwork and social skills. - Independence, proactivity, and excellent organizational and project management abilities. - A willingness to take a leading role in research meetings and actively network at conferences (nice to have).