Senior Engineer - (4IR) at Mintek

KEY PERFORMANCE INDICATORS: 

• Conduct research into machine learning and computational modelling applications in the mining industry;
• Ensure that projects are executed on time and within budget;
• Play a leading role in research projects and the development of products from that research;
• Act as a Principal Investigator on research projects.
• Actively participate in the training, guidance and motivation of junior staff. Participate in team debates and technical decisions;
• Produce professional reports, journal articles, papers and presentations at local and international conferences;
• Conceptualise, design, execute, analyse and troubleshoot independently;
• Maintain and extend existing software products, as well as develop new software products (C /C#/VB.NET)
• Ensure that SHEQ procedures are strictly adhered to and that project work is executed with maximum overall technical efficiency;
• Identify opportunities for technology development and commercialisation; and
• Keep up-to-date at a professional level with technology and business developments that are relevant to the division’s interests.

Minimum requirements

QUALIFICATIONS AND EXPERIENCE

The following skills are required for this role:

• Machine learning (supervised and unsupervised machine learning)
• Computer Science or Applied Mathematics M.Sc, or Engineering with Computer Science background M.Sc (must have demonstrated the ability to tackle programming challenges in machine learning)
• Academic writing, ability to present (evidenced by publication record)
• English-speaking
• Python programming language experience
• Suitable candidates must possess at least an M.Sc and be willing to study further in a field aligned with Mintek’s research. A PhD in a machine learning or computational modelling field is preferred.
• 3-5 years relevant vocational experience following first graduation (BSc Hon/BEng).
• C , C# or VB.NET experience a bonus
• Control systems, process modelling, reinforcement learning or a strong statistical background is a bonus.