Senior Research Fellow, Machine Learning in Mining

2 weeks ago


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

Post Doctoral Fellow, Mechanical Engineering (Machine Learning in Mining)

Company:

University of Saskatchewan

Job Summary:

We are seeking a highly skilled Post Doctoral Fellow to contribute to our research team in the Mechanical Engineering department. 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.

Key Responsibilities:
  • Develop and implement a Machine Learning algorithm to analyze audio recordings of tool impacts and predict the safety of underground mine roofs and sidewalls
  • Collaborate with the research team to design and conduct experiments to collect and analyze data
  • Analyze and interpret results, and make recommendations for improvement
  • Develop and maintain documentation of the algorithm and its implementation
  • Present research findings to the research team and at conferences
Requirements:
  • PhD in Mechanical Engineering or related field
  • Strong background in Machine Learning and data analysis
  • Experience with audio signal processing and analysis
  • Excellent programming skills in languages such as Python or MATLAB
  • Strong communication and teamwork skills
What We Offer:
  • Opportunity to work on a cutting-edge research project
  • Collaborative and dynamic research environment
  • Professional development and growth opportunities
  • Competitive salary and benefits package


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