job description
Join the National University of Singapore (NUS) as a Research Engineer/Assistant in the dynamic field of Agentic AI & Urban Intelligence. This role is part of the Cities Foresight Lab (CFL), where you will contribute to cutting-edge research and development projects aimed at transforming urban environments through advanced AI technologies.
As a key member of our team, you will work on innovative solutions that integrate AI with urban planning, smart city initiatives, and sustainable development. This position offers a unique opportunity to collaborate with leading experts in AI, data science, and urban studies, while making a tangible impact on the future of cities.
If you are passionate about AI, urban intelligence, and making a difference in the world, we invite you to apply and be part of our mission to create smarter, more sustainable cities.
Responsibility
- Develop and implement AI models and algorithms for urban intelligence applications.
- Collaborate with cross-functional teams to design and execute research projects.
- Analyze large datasets to extract insights and inform urban planning strategies.
- Contribute to the development of agentic AI systems for smart city solutions.
- Prepare and present research findings to stakeholders and academic communities.
- Assist in the preparation of grant proposals and research publications.
- Stay updated with the latest advancements in AI, machine learning, and urban studies.
- Support the implementation of AI-driven solutions in real-world urban environments.
Qualifications
- Bachelor's or Master's degree in Computer Science, AI, Data Science, Urban Planning, or a related field.
- Strong programming skills in Python, R, or other relevant languages.
- Experience with machine learning frameworks and AI technologies.
- Knowledge of urban studies, smart cities, or related fields is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage multiple projects.
- Familiarity with data visualization tools and techniques.