Full Time Faculty, Research Track Positions at the Associate or Full Professor Levels in Organisational Digital Transformation and AI, SMU Resilient Workforces Institute (ResWORK)

The Resilient Workforces Institute (ResWORK) at Singapore Management University (SMU) invites applications for a full-time, non-tenurable Research Track faculty positions, ideally at the Associate or Full Professor level, in the area of Organisational Digital Transformation and AI. This is a fixed term appointment for three years in the first instance, with the possibility of renewal.

Research Track faculty at SMU are expected to pursue high-quality, impactful research, contribute to interdisciplinary scholarship, secure grant funding, and participate in the broader academic and intellectual thrusts of ResWORK and SMU. The teaching load is pegged to be lower than that of equivalent tenure-track faculty and is nominally a single course per year. Applicants are evaluated primarily in terms of research credentials and successful candidates can expect to have clear KPIs primarily in terms of high-quality research publications, competitive grant success and research impact.

ResWORK is a university-level research institute dedicated to advancing research on the future of work and lifelong learning, with a goal of building resilient workforces through interdisciplinary research. Its research agenda focuses on how technological, organisational and societal changes are transforming the nature of work, adult learning and employment, and how individuals, organisations and societies can adapt to these changes.

The Institute's second research pillar, Transforming Organisations, focuses on understanding how organisations should adapt to technological change and harness digital technologies (including AI) to transform organisational structures, workflows and business processes. The end goal is to develop scientifically rigorous, generalized principles and best practices for redesigning work and the human-technology/AI interactions within enterprises. As part of this pillar, we are particularly interested in candidates who can strengthen ResWORK's research capability in organisational digital transformation and data/AI driven agentification of workflows and business processes/roles, with a particular focus on studying organisational AI use and understanding its implications for organisations and work.

We are interested in candidates working on areas such as, but are not limited to:

· Organisational digital transformation

· Artificial intelligence and organisations

· Agentic AI and AI-enabled work

· Organisational adoption and use of AI

· Quantification and measurement of organisational AI use

· Data-driven organisational learning

· Digital workplace technologies

· Human-AI collaboration in organisations

· Organisational productivity, performance and resilience

We welcome applicants trained in Information Systems, Management and Strategy, Organisation Studies, Computer Science, Data Science/Analytics, Economics, Business, or cognate disciplinary or interdisciplinary fields with a strong focus on technology, organisations and work.

Candidates who can demonstrate bold interdisciplinarity aspirations and a strong research agenda at the intersection of AI, information systems, organisations and the future of work are particularly encouraged to apply.

Applicants should be able to:

• Conceptualise and execute high-quality, internationally-competitive research projects on organisational digital transformation and AI

• Develop competitive grant applications and secure external research funding

• Publish high-quality research in leading international journals and/or conferences

• Develop and lead interdisciplinary research programmes aligned with ResWORK's research priorities spanning the future of work, workforce resilience and human-machine collaboration

• Design and deliver undergraduate, postgraduate or executive education courses in relevant areas

• Forge productive collaborations with researchers, industry partners, government agencies and other stakeholders

• Participate actively in the research and educational communities at SMU

• Contribute to the broader intellectual life of ResWORK and SMU

The Resilient Workforces Institute (ResWORK) at Singapore Management University (SMU) invites applications for a full-time, non-tenurable Research Track faculty positions, ideally at the Associate or Full Professor level, in the area of Organisational Digital Transformation and AI. This is a fixed term appointment for three years in the first instance, with the possibility of renewal.

Research Track faculty at SMU are expected to pursue high-quality, impactful research, contribute to interdisciplinary scholarship, secure grant funding, and participate in the broader academic and intellectual thrusts of ResWORK and SMU. The teaching load is pegged to be lower than that of equivalent tenure-track faculty and is nominally a single course per year. Applicants are evaluated primarily in terms of research credentials and successful candidates can expect to have clear KPIs primarily in terms of high-quality research publications, competitive grant success and research impact.

ResWORK is a university-level research institute dedicated to advancing research on the future of work and lifelong learning, with a goal of building resilient workforces through interdisciplinary research. Its research agenda focuses on how technological, organisational and societal changes are transforming the nature of work, adult learning and employment, and how individuals, organisations and societies can adapt to these changes.

The Institute's second research pillar, Transforming Organisations, focuses on understanding how organisations should adapt to technological change and harness digital technologies (including AI) to transform organisational structures, workflows and business processes. The end goal is to develop scientifically rigorous, generalized principles and best practices for redesigning work and the human-technology/AI interactions within enterprises. As part of this pillar, we are particularly interested in candidates who can strengthen ResWORK's research capability in organisational digital transformation and data/AI driven agentification of workflows and business processes/roles, with a particular focus on studying organisational AI use and understanding its implications for organisations and work.

We are interested in candidates working on areas such as, but are not limited to:

· Organisational digital transformation

· Artificial intelligence and organisations

· Agentic AI and AI-enabled work

· Organisational adoption and use of AI

· Quantification and measurement of organisational AI use

· Data-driven organisational learning

· Digital workplace technologies

· Human-AI collaboration in organisations

· Organisational productivity, performance and resilience

s