Opportunities

Join the Symbiosis Lab's team

From research and design projects to development of new technologies and integrated building solutions, Symbiosis Lab has the opportunity for you to deliver outstanding outcomes irrespective of scale, complexity and context of the project. We are looking for passionate and talented individuals to join our team in Architecture and Engineering.

Master's

M1 students of the School of Architecture at the University of Waterloo, who are in the process of selecting their Master's thesis topic can be supervised by Dr. Araji in the following areas. Other contemporary architecture topics can also be accommodated with discussion:

  • Design as a catalyst for social and environmental challenges
  • Community resilience against natural disasters
  • Augmented/Virtual reality and its impact on human behaviour and spatial experience
  • Human health and psychological wellbeing in Architecture using biophilic design
  • Vertical urbanism in developing countries
  • Responsive architecture and adaptation to the surrounding environment
  • Resilient suburb in the context of urban design and housing challenges
  • Communicating culture through design
  • Integrating diverse mobility solutions in urban planning and design
  • Sounds and acoustics in architecture
  • Transient cities and peripatetic architecture
  • Applications of artificial intelligence and machine learning in architecture
  • The automation of building construction
  • Range of topics under energy & environment
  • Diverse topics of technology & design
  • Materials applications for architectural forms and surfaces

For interested candidates, please arrange a supervision meeting with Dr. Araji, mohamad.araji@uwaterloo.ca, to discuss thesis topics further.

PhD

There are open positions for PhD in the Mechanical & Mechatronics Engineering and the Civil & Environmental Engineering Departments at the Symbiosis Lab. The key requirements involve applicants with extensive experience in computational and digital tools. Expertise in the following methods, tools, and software is expected:

  • Monitoring & experimental methods
  • Optimization models
  • Heat transfer models
  • Finite element method
  • Machine learning models
  • Numerical & statistically-driven models
  • Computational Fluid Dynamics
  • Scripting for parametric design
  • Physics simulation
  • Energy modeling and data visualization
  • ANSYS
  • C++ & C#
  • Python
  • Rhino and Grasshopper
  • EnergyPlus
  • FloVENT
  • Analytical tools and workflows
  • Data visualization & Graphic user interface

For interested candidates, please email your resume and relevant publications to Dr. Araji, mohamad.araji@uwaterloo.ca.