The field of Operations Management has been changing dramatically due to the emergence of a truly global economy, significant advances in information and process technology, and the continued growth of services. The Technology and Operations Management Area (TOM) focuses on value creation on a global scale through innovative product and process design, project management as well as on value capture through effective supply chain management.
Post-Doctoral Position
Human–AI Collaboration and Work Design
Asia Campus, Singapore • Full time
Intended duration: One to two years, subject to renewal after year one
Start date: Flexible, from June 2027 onwards
Job Reference: MFXL-HUMI-SGP
INSEAD invites applications for a Postdoctoral Research Fellow to work with Michael Freeman and Xinyu Liang on research in human–AI collaboration, operations, and organizational workflow design, supported by INSEAD’s Human and Machine Intelligence Institute (HUMII). The position offers the opportunity to develop rigorous, practically relevant research on how professionals, teams, and organizations can effectively integrate AI capabilities with professional expertise, knowledge, and judgment.
The opportunity
The fellow will collaborate closely with Michael Freeman and Xinyu Liang to develop research ideas, design studies, and co-author papers for leading academic journals. The position offers faculty mentorship and scope for substantial intellectual contributions, supporting the fellow in developing a strong research profile for an academic career. The fellow will also contribute to study implementation and data analysis, supported by research assistants where available.
Candidate profile
Applicants should have completed, or be close to completing, a PhD in operations management, information systems, economics, psychology, computer science, or a related discipline by the start of the appointment. We seek candidates with:
- Strong skills in designing, conducting and analysing behavioural experiments. Strong background in empirical and econometric analysis, applying econometric methods, causal inference techniques, and statistical analysis to experimental and observational data.
- A clear interest in human–AI collaboration, professional decision-making, or work and organisation design.
- The ability to develop research independently and collaborate effectively across disciplines.
- Excellent written and spoken English, strong communication skills, and a commitment to rigorous, reproducible research.
Experience with human–AI collaboration, behavioral or healthcare research would be an advantage.
Appointment and application
The intended appointment is for one to two years, with an initial 12-month contract renewable following satisfactory review and institutional approval. The appointment includes a salary, an individual research budget and conference support.
Please submit the following to [email protected], with the following job reference in the subject line: MFXL-HUMI-SGP
- A cover letter outlining your research interests and fit with the position.
- A CV, up to two research papers, and contact details for two academic referees.
Applications will be reviewed on a rolling basis until the position is filled. For informal enquiries, please contact Michael Freeman ([email protected]) and Xinyu Liang ([email protected]).
Post-Doctoral Position
Healthcare Operations, AI and Digital Technology
Asia Campus, Singapore • Full time
Intended duration: Two years, subject to renewal after year one
Start date: Flexible, from June 2027 onwards
Job Reference: MFXL-HOFF-SGP
INSEAD invites applications for a Postdoctoral Research Fellow to work with Michael Freeman and Xinyu Liang on research in healthcare operations, AI and digital technology, supported by the INSEAD Hoffmann Institute. The research examines how organisational design and digital technologies shape healthcare delivery, with the aim of improving the quality, accessibility and efficiency of care.
The opportunity
The fellow will take a leading role in developing and executing research projects in collaboration with the faculty team and healthcare partners. The position offers the opportunity to work closely with hospital partners on consequential operational problems, combining detailed clinical and operational data with practitioner engagement. The fellow will help design and evaluate interventions, develop academic papers, and translate findings into insights for healthcare leaders. Faculty mentorship and opportunities to co-author papers for leading journals will support the fellow’s development towards an academic career.
Candidate profile
Applicants should have completed, or be close to completing, a PhD in operations management, economics, information systems, public health, industrial engineering, or a related discipline by the start of the appointment. We seek candidates with:
- Evidence of strong research potential, demonstrated through published or working papers.
- Strong empirical research skills, particularly in econometrics, causal inference, and structural modeling using observational or experimental data.
- Proficiency in R, Python, Stata, or comparable research software, and experience working with complex datasets.
- A clear interest in healthcare operations and the organisational implications of AI and digital technologies.
- The ability to work independently and with interdisciplinary teams, excellent written and spoken English, and a commitment to rigorous, reproducible research.
Experience with healthcare data or practitioner collaborations would be an advantage, as would experience with field experiments, machine learning, natural language processing, or the analysis of unstructured data. A clinical background is not required.
Appointment and application
The intended appointment is for two years, with an initial 12-month contract renewable following satisfactory review and confirmation of second-year funding.
Please submit the following to [email protected], with the following job reference included in the subject line: MFXL-HOFF-SGP
- A cover letter outlining your research interests and fit with the position.
- A CV, up to two research papers, and contact details for two academic referees.
Applications will be reviewed on a rolling basis until the position is filled. For informal enquiries, please contact Michael Freeman ([email protected]) and Xinyu Liang ([email protected]).
Faculty
Professor of Information Technology
Professor of Technology and Operations Management
Professor of Technology Management and Asian Business and Comparative Management
Professor of Technology and Operations Management
Associate Professor of Technology and Operations Management
Associate Professor of Technology and Operations Management
Associate Professor of Technology and Operations Management
Assistant Professor of Technology and Operations Management
Associate Professor of Technology and Operations Management
Professor of Technology and Operations Management
Assistant Professor of Technology and Operations Management
Professor of Technology and Operations Management
Professor of Technology and Operations Management
Associate Professor of Technology and Operations Management
Professor of Technology and Operations Management
Emeritus Professor of Operations Management
Emeritus Professor of Technology and Operations Management
Emeritus Professor of Technology and Operations Management
Professor of Operations Management
