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Postdoctoral Research Fellow, Mechanical Engineering

2 months ago


Saskatoon, Saskatchewan, Canada University of Saskatchewan Full time
Job Summary

We are seeking a highly motivated Postdoctoral Research Fellow to join our team at the University of Saskatchewan. The successful candidate will be responsible for 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)
  • Expand the algorithm to quantify the level of drumminess and the confidence in this prediction
  • Work independently to identify, develop, and validate new ideas
  • Communicate results via publications and conference presentations
  • Collaborate with a student who is currently taking the recordings and other students working on other projects
Requirements
  • Ph.D. 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
  • Demonstrated experience with dataset feature engineering and dimensionality reduction
  • Demonstrated ability to take the lead role in successfully published papers in high-quality journals or peer-reviewed conferences
Desirable Qualifications
  • Experience with recording and processing of audio data
  • Experience with determining confidence intervals for ML classifications or regression
  • Matlab ML programming experience
  • Python ML programming experience
  • Familiarity with rock mechanics and mine operations
  • Familiarity with acoustic and vibrational wave propagation
Working Environment

The work environment will be a typical office setting, although visits to an underground potash mine site may be desirable to understand the background and possibly to take new data or improve the data recording process. Hours will be flexible, based around regular university hours and working from home part-time is possible.

Accountabilities
  • Produce regular progress reports to the supervisor, industrial partners, and funding agencies
  • Produce papers for publication in reputable peer-reviewed journals and conferences