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Postdoctoral Research Fellow: Data-driven process monitoring and control for the minerals industry  [November 10, 2022]

Location: Department of Process Engineering, Stellenbosch University, Stellenbosch, South Africa

In the Machine Learning and Extractive Metallurgy research groups of the Department of Process Engineering at Stellenbosch University, a specific research focus is process monitoring and control for the mineral industry. Statistical and machine learning techniques are explored in the context of dynamic simulation and real-world case studies to investigate promising approaches for cost effective and sustainable operation of mineral processing circuits. The main role of the postdoctoral fellow will be to carry out research in data-driven process monitoring and control as applied to mineral processing case studies. This is achieved primarily through the identification of newly developed methods from various fields (e.g. neuroscience, robotics, etc.) through literature studies, followed by application and evaluation thereof in the minerals processing context by means of algorithm studies.

The full advert, detailing the positionís duties and responsibilities, and application requirements, can be downloaded here.

Queries and complete applications can be sent to Prof Tobi Louw

 

 

   

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