PhD Position

Fully funded full-time PHD position in computational design and digital fabrication at University of Montreal
School of Architecture, Faculté de l’aménagement

The new Laboratory for Architecture, Informatics and Robotics (LAIR) at the School of Architecture supervised by assistant prof. Andrei Nejur is recruiting for a fully funded PhD position in Digital Fabrication Methods for Complex Spatial Structures to start in September 2023.

The laboratory performs research in the broad field of computationally aided fabrication methods for architectural structures with a particular interest in sheet material fabrication and adaptive reuse of materials for complex spatial assemblies.

To apply for the positions, the candidates should possess:

  • a master’s degree in architecture, structural design or computer science,
  • an advanced hands-on knowledge of the Rhino/Grasshopper environment including scripting
  • a good command of the English and/or French language(s).

Additionally, skills and experience in the following fields are desirable and would constitute an advantage:

  • Programming (C# or Python)
  • Digital fabrication (CNC, Robotic fabrication, Additive manufacturing)
  • Structural simulation through FEA / FEM
  • Virtual Reality / Augmented Reality
  • Artificial Intelligence models, Computer vision, Point Cloud processing

If the above requirements match your background and interests and if you would like to be part of a new and ambitious research group, please submit your application including the following required documents to the following email address andrei.nejur[at]umontreal.ca

  • Curriculum vitae
  • A brief 1-page letter of intent outlining your research interests
  • A short 15-page portfolio (if relevant) outlining your relevant academic or professional work
  • Two letters of recommendation
  • The report card of your grades denoting your average for your last relevant degree

The application deadline is January 5th, 2023.

Only the selected candidates will be contacted for an interview.

 

All qualified applicants will receive equal consideration without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.