Computational Design Supervisor Full Time

Key Responsibilities:

• Student Support: Assist and support students in using computational design software, including but not limited to Revit, AutoCAD, Rhino, Grasshopper, 3ds Max, and other relevant applications.
• Lab Maintenance: Ensure the proper functioning of all lab equipment, computers, and peripherals. Regularly update software, troubleshoot issues, and maintain optimal performance of the lab environment.
• Software Installation & Management: Manage and install the necessary software for computational design applications, ensuring compliance with licensing agreements and university policies.
• Faculty Support: Assist faculty members with software-related needs, provide guidance on integrating computational tools into coursework, and support research initiatives that require digital modeling and simulation.
• Training & Workshops: Develop and conduct training sessions and workshops for students and faculty on computational design tools, digital fabrication techniques, and emerging technologies in architecture and design.
• Technology Advancement: Stay up to date with the latest advancements in computational design tools, and digital fabrication, techniques, and industry trends. Recommend and implement new technologies to enhance the lab’s capabilities.
• Collaboration: Work closely with faculty, researchers, and students to support academic projects and ensure the effective use of digital tools in architectural and design education.

Qualifications & Experience:

• Bachelor’s or Master’s degree in Computational Design, Architectural Engineering, Architecture, Industrial Design, or a related field.
• Strong proficiency in Revit, AutoCAD, Rhino, Grasshopper, 3ds Max, and other computational design and rendering tools.
• Experience in 3D printing, lab management, software installation, and IT support within an academic or professional environment.
• Prior experience in conducting workshops, training sessions, or teaching in computational design software.
• Strong problem-solving skills and the ability to troubleshoot technical issues related to software and hardware.
• Excellent communication and interpersonal skills, with the ability to support and train both students and faculty.

Preferred Qualifications:

• Experience with parametric design, generative design, and digital fabrication techniques.
• Familiarity with programming languages such as Python, C#, or scripting within design software, 3D printing, Laser cutting.
• Experience in integrating AI and machine learning applications in computational design.

Employment Type:

• Full-time position with competitive salary and benefits.