Publisher
source

Georg von Krogh

9 months ago

PhD Position in AI and Strategy ETH Zürich in Switzerland

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Switzerland

University

ETH Zürich

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Business Administration
Business
Technology Innovation
Management
Consulting
Academic Collaboration
Economics
Management Information Sy
Strategic management
Management engineering

About this position

ETH Zürich’s Chair of Strategic Management and Innovation (SMI) is offering a fully funded PhD position as part of an SNSF-funded research project focused on the transformative role of artificial intelligence in organizational strategy. This opportunity is ideal for candidates passionate about exploring how AI can support and reshape strategic processes within organizations, combining rigorous academic research with practical relevance.

The successful candidate will join a dynamic, international research team renowned for publishing in top-tier journals such as the Academy of Management Journal, Management Science, Organization Science, Strategic Management Journal, and Harvard Business Review. The PhD project will typically consist of at least three high-quality papers intended for leading academic outlets, with close supervision and collaboration from distinguished faculty and senior researchers, including Professor Dr. Georg von Krogh and Dr. Ann-Kristin Weiser.

ETH Zürich provides an inspiring, team-based research environment, access to excellent infrastructure, and a strong international network of collaborators. The position is based in the Department of Management, Technology, and Economics (D-MTEC), offering competitive salary and employment conditions for up to four years, in line with ETH Zürich regulations.

Eligibility requirements include a Master’s degree in Management or a related discipline (Management Engineering, Management Information Systems, Business Administration, or Economics with a management focus), with graduation not older than two years. Proficiency in German (spoken and written) is mandatory. Applicants must demonstrate outstanding academic performance, strong analytical and communication skills, and the ability to work both independently and collaboratively in interdisciplinary teams. Additional qualifications such as experience with AI in business contexts or prior consulting/industry experience in strategy or management are considered advantageous.

ETH Zürich values diversity, inclusion, and sustainability, fostering a fair and open environment for all staff and students. Applications are reviewed on a rolling basis until the position is filled. Only complete applications submitted via the ETH Zürich online application system will be considered. Required documents include a motivation letter (max. 2 pages), CV, academic transcripts and diplomas, Master thesis or proof of thesis grade, names and contact details of at least two academic referees, and at least one reference letter. For inquiries, contact Dr. Ann-Kristin Weiser at [email protected].

To apply, visit the official application portal: ETH Zürich Job Portal. ETH Zürich is a world-leading university in science and technology, committed to excellence in education, research, and societal impact. Join us in developing solutions for global challenges and advancing the field of AI and strategy.

Funding details

Available

What's required

Applicants must hold a Master’s degree in Management or a related discipline (such as Management Engineering, Management Information Systems, Business Administration, or Economics with a management focus), with graduation not older than two years at the time of application. Proficiency in German (spoken and written) is required. Candidates must demonstrate a proven track record of strong academic performance, outstanding performance in their Master thesis or comparable research potential, strong analytical, problem-solving, and communication skills, and the ability to work independently and collaboratively in interdisciplinary teams. Additional qualifications considered an advantage include knowledge or practical experience with AI in business or organizational contexts, and previous consulting or industry experience in strategy or management.

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Professors

Professor Dr. at ETH Zürich

University Name
Country flag

Switzerland

Research Interests

Management

Artificial Intelligence

Business

Technology Innovation

Business Administration