Research Assistant/Research Fellow in Computational Design and Digital Fabrication Introduction

This role of Research Assistant or Research Fellow in Computational Design and Digital Fabrication requires expertise in computational design methodologies and digital fabrication technologies. Candidates should possess strong skills in computer-aided design (CAD) software, parametric modeling tools such as Grasshopper or Rhino, and programming languages commonly used in computational design like Python, C++, or scripting languages. Experience with digital fabrication equipment including 3D printers, CNC machines, laser cutters, and related hardware is essential, along with knowledge of their operational principles and maintenance. The position likely demands familiarity with algorithmic design, generative design techniques, and the integration of digital workflows from design to physical production. Candidates should demonstrate the ability to conduct research, analyze data, and contribute to academic publications or technical reports. A background in architecture, engineering, computer science, or a related field is expected, with advanced degrees preferred for the Research Fellow level. Strong problem-solving skills, creativity in design, and the capability to work collaboratively in interdisciplinary teams are important. Knowledge of material properties and fabrication constraints to optimize design for manufacturability is also beneficial. While specific experience and education points are not provided, the role implies a combination of technical proficiency, research experience, and academic rigor in computational design and digital fabrication domains.