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A leading university in Singapore is seeking a Technical Program Manager for the AI Talent and Ecosystem team. This role involves leading student talent development programmes, planning an Introductory AI Research course, and collaborating with various stakeholders in AI and data science initiatives. The ideal candidate should have a degree in Computer Science or similar, with at least 3 years of relevant experience. Strong analytical skills and proactivity in identifying opportunities are essential for success in this position.
The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore
AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).
The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.
AI Singapore is sourcing for an individual to join the AI Talent and Ecosystem team as a Technical Program Manager. This person will be a critical member of the team, and will work with key stakeholders to plan, design, deliver, implement, and manage strategic programs, initiatives and projects that are aligned with AISG's mandate.
In this role, you will:
Technical skillsets are not required but you must be sufficiently familiar with AI, data science, and/or technology in general to be able to converse credibly with academics and technical experts.
The ideal candidate would have the following:
Location: Kent Ridge Campus
Organization: Office of the Deputy President(Res &Tech)
Department : AI Singapore
Employee Referral Eligible: No
Job requisition ID : 31300