determine the air flow circulation in indoor spaces and identify recirculation zones that trap infectious particles. By predicting the air residence time and time scale of evacuation of pollutants using CFD, this project will feed CFD data and pathogen information into a Reactor Model framework to provide the infection probability and safe exposure time in a room. The location and size of recirculating zones in a room will be determined, which will be important in the placement of sensors that detect IAQ and optimizing the number of sensors required. The project has potential applications in controlling the spread of infectious diseases in indoor settings and optimizing ventilation systems while reducing energy consumption.
Essential Qualifications & Experience:
MTech/ME/MDes or equivalent degree
OR
BTech/BE/MA/MSc/MCA/ MBA or equivalent degree with 2 years relevant experience
Job Profile:
The primary responsibility of the candidate will be to:
i) deploy and collect data from low costs sensors, and
ii) develop and analyse CFD simulations to track tracer gas flows in classrooms under various
settings and interventions,
iii) Support with grant management and communication with a larger team of researchers,
iv) Support with development of reports, presentations and research publications as directed by the PIs. The candidate is expected to have good technical communication skills and work with a team of interdisciplinary researchers. Prior work experience in developing or deploying LCS for air quality applications desirable.
