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ETH Zurich

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PhD Position in Sustainable Supply Chain Management at ETH Zurich ETH Zurich in Switzerland

Degree Level

PhD

Field of study

Statistical Analysis

Funding

The position is a 100% fixed-term doctoral researcher/PhD student role at ETH Zurich. The post mentions a competitive salary and attractive pension benefits, plus public transport season tickets, car sharing, sports access, childcare, and research infrastructure support. No tuition details are stated.

Deadline

Nov 30, 2026

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Country

Switzerland

University

ETH Zurich

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Keywords

Statistical Analysis
Business Administration
Business
Industrial Engineering
Management
Economics
Statistics
Econometrics

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About this position

Doctoral Researcher / PhD Position in Sustainable Supply Chain Management at ETH Zurich

The Supply Chain Management Group at ETH Zurich’s Department of Management, Technology, and Economics is inviting applications for a PhD student / doctoral researcher position focused on sustainable supply chain management. The project examines how companies manage social sustainability issues in supply chains, including modern slavery and unsafe working conditions, in the context of emerging supply chain due diligence regulations.

The successful candidate will work in a dynamic, international research environment and contribute to a project led by Dr. Christian Wagner and Prof. Dr. Stephan Wagner. Research will use quantitative and qualitative methods, including engagement with industry partners and analysis of secondary data. The dissertation is expected to comprise three high-quality papers aimed at top-tier journals. Responsibilities also include supervising master’s theses, assisting with teaching, and participating in community outreach.

Eligibility highlights: an excellent master’s degree in Industrial Engineering, Economics, Business Administration, or a related field; excellent written and oral English, ideally German; strong motivation for academic research; and a solid background in empirical methods and data analysis using statistical or econometric techniques. Candidates with primarily analytical backgrounds and/or interests will not be considered. Strong teamwork, social skills, independence, proactivity, and project management ability are also expected.

Funding and benefits: this is a 100% fixed-term doctoral position at ETH Zurich with a competitive salary and attractive pension benefits, plus access to research infrastructure, course offerings, career development programs, public transport season tickets, car sharing, sports facilities, and childcare.

Application: submit a single merged PDF via the ETH Zurich online portal only. Include a cover letter with a specific motivation statement, CV, contact details for two references, university transcripts and other reference letters, and representative published research work. The deadline is 2026-11-30, and applications are reviewed on a rolling basis, so early submission is encouraged.

Funding details

The position is a 100% fixed-term doctoral researcher/PhD student role at ETH Zurich. The post mentions a competitive salary and attractive pension benefits, plus public transport season tickets, car sharing, sports access, childcare, and research infrastructure support. No tuition details are stated.

What's required

Excellent master's degree in Industrial Engineering, Economics, Business Administration, or a related field. Excellent written and oral English skills and ideally German. Strong motivation for academic research, a strong background in empirical methods and data analysis using statistical or econometric techniques, and candidates with primarily analytical backgrounds and/or interests will not be considered. Strong teamwork and social skills, independence, proactivity, organizational and project management abilities, and comfort leading research meetings and networking at conferences are expected.

How to apply

Submit a single merged PDF through the ETH Zurich online application portal only. Include a cover letter, CV, two references with contact information, transcripts and reference letters, and representative published research work. Applications by email or post will not be considered.

More information can be found here

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