Mechanical Engineer-Mining Specialist

2 months ago


Saskatoon, Saskatchewan, Canada University of Saskatchewan Full time
Job Title:

We are seeking a highly skilled Postdoctoral Fellow to join our research 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.

Primary Responsibilities:

The Postdoctoral Fellow will be responsible for applying the latest developments in machine learning to develop and optimize the performance of an algorithm to predict whether a recording is drummy or tight. This will involve working with a dataset of audio recordings of tool impacts on mine walls and roofs, with labels of "drummy" (unsafe) or "tight" (safe) as identified by experienced mine personnel. The successful candidate will also be responsible for producing regular progress reports, both to their supervisor as well as to industrial partners and funding agencies.

Requirements:

The successful candidate must have completed a degree in a related field within the last five years. They must also have demonstrated experience in developing machine learning algorithms with small datasets of arbitrary and/or time-series data. Additionally, they must have experience with dataset feature engineering and dimensionality reduction, as well as the ability to take the lead role in successfully published paper(s) in high-quality journals or peer-reviewed conferences. Experience with recording and processing of audio data, Python ML programming, and familiarity with rock mechanics and mine operations are also highly desirable.

Work Environment:

The work environment will be a typical office, 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.

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