The internship position for developing a smart city digital twin focuses on enhancing robotics simulation through integrating AI technologies, specifically targeting agent workflows, spatial intelligence, and large language model (LLM) management.

Interns will be involved in several key areas:

Model Development
Interns will create and optimize AI agents for real-time problem-solving within urban environments. This involves developing algorithms that allow agents to adapt and respond to dynamic situations, ensuring efficient operation in complex urban settings.

Spatial Data Analysis
Utilizing advanced spatial intelligence techniques, interns will analyze urban data to improve decision-making processes. This includes interpreting geographical information systems (GIS) data and applying machine learning methods to derive insights that can guide urban planning and management.
Simulation Frameworks
Interns will implement robotics simulations that interact with the digital twin. This involves creating virtual environments where various urban scenarios can be tested, allowing for the evaluation of robotic responses to real-world challenges.

LLM Management
Leveraging large language models, interns will facilitate natural language interactions with the digital twin. This includes developing interfaces that enable users to query the system effectively and manipulate urban data through conversational AI, enhancing user engagement and operational efficiency. This internship offers hands-on experience with cutting-edge technologies in smart city development and AI applications, preparing interns for future roles in the rapidly evolving field of urban technology.

Programming Language Requirement: Python

Contact info:
Hayley Tan
Whatsapp: +65 9062 2580, +60 16 730 8543
Email: hayley.tan@amaris.ai