Research Fellow on Human-AI Collaboration at Work

About Us:
The Future of Innovation Lab at the Lee Kuan Yew Centre for Innovative Cities (LKYCIC), Singapore University of Technology and Design, explores how emerging technologies such as (generative) AI are transforming the nature of work, expertise, and collaboration.

We are looking for a full-time Research Fellow with strong qualitative research skills and a keen interest in Human-AI collaboration to join our interdisciplinary research team. This role will contribute to a research project on the evolving dynamics of workplace expertise and human-machine teaming. Moreover, the consequences of such digital transformation are explored in the context of workforce and labor developments, organisational innovation, and learning/education.

About the Position:
This position is ideal for someone who is excited about in-depth qualitative research and enjoys working closely with organisations and agencies to understand complex work practices. The Research Fellow will:

Conduct and analyse qualitative research (interviews, focus groups, observations, surveys) with professionals in organisations
Lead and assist in designing research protocols and data collection instruments
Work with companies and organisational partners to set up, schedule, and conduct research engagements
Write literature reviews and assist in theoretical development around Human-AI collaboration
Collaborate on writing academic papers, reports, and white papers
Communicate research findings to public and private stakeholders
Support developments in Human-AI collaboration within the university

Requirements:

Must-Have:

A PhD in fields related to work, organisations, labour studies, business, or sociology
Demonstrated experience with qualitative research methods, including observations and/or in-depth ethnographic fieldwork
Interest in or familiarity with generative AI and its implications for work and expertise
Excellent writing and communication skills
Strong organisational and data management skills
Interest in working in an interdisciplinary team, including sociologists, economists, algorithm engineers, and educational specialists

Nice-to-Have:

Experience in industry or applied research settings
Familiarity with workplace-based or ethnographic research
Exposure to survey design and basic mixed methods

How to Apply:
Interested applicants are to submit their full CV, cover letter (optional), two references, and two English writing samples to . We regret that only shortlisted candidates will be notified.

Applications will be reviewed until the position is fill

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