Project Officer (AI in Innovation Strategy)

Nanyang Technological University

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NTU Main Campus, Singapore Until 10/4/2026 First posted August 5, 2026 Last posted August 5, 2026
Job description

The Division of Strategy, International Business, and Entrepreneurship (SIE) at Nanyang Business School invites applications for a research position focused on strategy and innovation in an age of generative AI. The successful candidate will support large-scale data collection and analysis projects based on these topics. This role offers opportunities for cross-disciplinary collaboration with leading international institutions.

Responsibilities:

  • Support logistics and planning for field studies.

  • Conduct large-scale data analysis using statistical modelling.

  • Design, implement, and evaluate computational pipelines for data collection, processing, and analysis from diverse sources (e.g. qualitative interview data, quantitative performance data).

  • Prepare high-quality research outputs, including peer-reviewed journal articles, technical reports, and data visualisations

Requirements:

  • Bachelor’s degree or higher in Data Science, Economics, Psychology, Computer Science, or related fields.

  • Proficiency in statistical/econometric analysis and in R, Python, or other analysis tools.

  • Experience in handling large datasets and applying advanced analytical methods

  • Strong communication and collaboration skills

  • A track record of research excellence.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

About this role

Summary

Support data collection, analysis, and research outputs on AI and innovation strategies.

Job title

Project Officer (AI in Innovation Strategy)

Experience level

null

Industry

education

Location requirements

On-site at NTU Singapore, remote not specified.

Salary

Not specified

Management role

No

Skills & keywords

Required skills

statistical analysisPythonRlarge datasetsresearch

Preferred skills

None specified

Specializations

data analysisAIstrategylarge datasetscomputational pipelines
Locations

Structured locations inferred from the posting.

Unknown location

On-site