Research Fellow I

Key Responsibilities

• Research leadership: define and carry out research on AI-enabled robotics, digital representations of the built environment, and human–robot interaction.
• Development: design and implement software frameworks, data pipelines, simulation environments and AI models that support robot operation and decision making.
• Integration and validation: work with the engineering team to integrate methods onto robot platforms, and run experiments and trials in laboratory and real-world settings.
• Research output: lead publications, technical reports, milestone deliverables and demonstrations, and contribute to grant proposals.
• Mentoring and collaboration: guide research assistants and students, and work with industry and agency partners.

Requirements

• PhD in Engineering, Computer Science, Architecture / Built Environment, Robotics or a related discipline. Candidates close to completing their PhD may be considered.
• A strong track record of peer-reviewed publications in relevant areas.
• Programming experience in one or more languages such as Python, C++ or C#, and familiarity with AI / machine learning methods.
• Ability to work independently, manage research tasks, and communicate well in written and spoken English.
• Experience with robotics frameworks (e.g. ROS / ROS 2), simulation or game engines (e.g. Gazebo, Isaac Sim, Unity), or XR technologies.
• Experience with BIM, digital twins, or spatial and semantic data for robotics applications.
• Experience with LLMs or other generative AI in applied systems.
• Experience in funded research projects, industry collaboration, or supervising junior researchers.