Senior Machine Learning Researcher in Mine Safety
2 days ago
We are seeking a highly skilled Senior Machine Learning Researcher to join our team at the University of Saskatchewan. As a key member of our research group, you will play a critical role in developing and optimizing machine learning algorithms to predict the safety of underground mine roofs and sidewalls using audio recordings of tool impacts on the surface.
The successful candidate will be responsible for leading a project that involves collaborating with industry partners and funding agencies to develop a dataset of audio recordings of tool impacts on mine walls and roofs, as well as identifying and applying the latest developments in machine learning to optimize the performance of an algorithm to predict whether a recording is drummy or tight.
This is a unique opportunity to work in a cutting-edge research environment and contribute to the development of innovative solutions for underground mine safety. You will have the freedom to work independently and take the lead in communicating your results via publications and conference presentations.
In addition to your technical expertise, you will have excellent communication, organizational, and interpersonal skills, which are essential for working effectively with industry partners, funding agencies, and other stakeholders.
The estimated salary for this position is $85,000 - $105,000 per year, depending on qualifications and experience. The work environment is 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.
Key Responsibilities:- Develop and optimize machine learning algorithms to predict underground mine safety
- Collaborate with industry partners and funding agencies to develop a dataset of audio recordings of tool impacts on mine walls and roofs
- Lead the project and communicate results through publications and conference presentations
- PhD in a related field (e.g., machine learning, computer science, engineering)
- Proven experience in developing machine learning algorithms with small datasets of arbitrary and/or time-series data
- Demonstrated ability to take the lead role in successfully published papers in high-quality journals or peer-reviewed conferences
- Experience with recording and processing of audio data
- Experience with determining confidence intervals for ML classifications or regression
- MATLAB or Python programming experience
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Saskatoon, Saskatchewan, Canada https:www.energyjobline.comsitemap Full timePostdoctoral Researcher Opportunity in Machine Learning for Mining SafetyPrimary Objective: We are seeking a highly motivated Postdoctoral Researcher to join our team in the Department of Mechanical Engineering. The successful candidate will be responsible for developing a machine learning algorithm to quantify the safety of underground mine roofs and...
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Saskatoon, Saskatchewan, Canada https:www.energyjobline.comsitemap Full timePostdoctoral Researcher in Machine Learning for Mining SafetyJob Summary: We are seeking a highly motivated postdoctoral researcher to join our team in the Department of Mechanical Engineering. The successful candidate will be responsible for developing machine learning algorithms to quantify the safety of underground mine roofs and sidewalls using audio...
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Saskatoon, Saskatchewan, Canada University of Saskatchewan Full timeThe University of Saskatchewan is seeking a highly skilled Postdoctoral Researcher in Machine Learning for Mining Safety. 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. This project is a collaboration...
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Saskatoon, Saskatchewan, Canada University of Saskatchewan Full timeJob Summary:The University of Saskatchewan is seeking a highly skilled Postdoctoral Fellow to join our research team in the Department of Mechanical Engineering. 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...
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