Postdoctoral Researcher in Machine Learning for Mining Safety

2 months ago


Saskatoon, Saskatchewan, Canada University of Saskatchewan Full time
Postdoctoral Researcher Opportunity in Machine Learning for Mining Safety

We are seeking a highly motivated Postdoctoral Researcher to join our team at the University of Saskatchewan. The successful candidate will work on developing a Machine Learning algorithm to quantify the safety of underground mine roofs and sidewalls using audio recordings of tool impacts on the surface.

Key Responsibilities:
  • Develop and optimize a Machine Learning algorithm to predict whether an audio recording is drummy (unsafe) or tight (safe)
  • Collaborate with industrial partners and funding agencies to advance the project
  • Conduct research and analysis to improve the data recording process and take new data from underground mine sites
  • Produce regular progress reports and contribute to the publication of research findings
Requirements:
  • PhD in a related field within the last five years
  • Demonstrated experience in developing Machine Learning algorithms with small datasets of arbitrary and/or time-series data
  • Experience with dataset feature engineering and dimensionality reduction
  • Ability to take the lead role in successfully published papers in high-quality journals or peer-reviewed conferences
  • Familiarity with rock mechanics and mine operations
What We Offer:
  • A dynamic and collaborative research environment
  • The opportunity to work on a cutting-edge project with industrial partners
  • Flexible working hours and the possibility of working from home part-time


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