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State:
VIC
University:
University of Melbourne
Status:
Domestic Student
Discipline:
Engineering, IT, Mathematics and Statistics
Research Specialty:
Chemical Engineering, Civil Engineering, Data Visualisation, Environmental Engineering, Environmental Science, Laser Systems, Machine Learning or Tensorflow Experience, Programming

Keya Roy is a PhD candidate in Engineering at The University of Melbourne, specialising in sustainable traffic signal optimisation using deep learning and simulation-based modelling. Her research focuses on reducing emissions and improving mobility. She seeks an internship to apply her analytical, modelling, and problem-solving skills to real-world transport challenges.

For more information, please contact one of our APR.Intern Business Development Managers: