We are seeking a highly skilled and innovative Part-Time Researcher in Computational Architectural Methods to join our team. The successful candidate will conduct research in the application of computational tools and methods, including AI applications, to architectural design and analysis. This position provides a unique opportunity to contribute to cutting-edge research in a dynamic academic environment.

Primary Duties & Responsibilities

• Conduct research on computational methods and their applications in architectural design, including parametric design, algorithmic design, digital fabrication, performance simulation, and AI applications.
• Develop and implement computational models and tools to support research projects.
• Collaborate with faculty members, students, and other researchers on interdisciplinary projects.
• Analyse and interpret research data, preparing reports, publications, and presentations to disseminate findings.
• Stay updated with the latest advancements in computational design and AI technology, integrating new knowledge into ongoing research.
• Assist in writing grant proposals and securing funding for research projects.
• Mentor and guide students involved in research projects, fostering a collaborative and innovative research environment.
• Participate in departmental meetings, research seminars, and conferences to present research findings and network with peers.

Education & Experience

• A master’s degree in architecture, Computational Design, Computer Science, or a related field. A Ph.D. is preferred.
• Demonstrated experience in computational design and research, with a strong portfolio of relevant work.
• Proficiency in computational design software and tools such as Rhino, Grasshopper, Revit, and scripting languages (e.g., Python, C#).
• Experience with AI applications in architectural design is highly desirable.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Proven track record of research publications and presentations.
• Ability to work independently and collaboratively in a research team.