Jobs Available 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.

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Key Performance Indicators:

• Assist Head/Divisional manager to maintain and expand on project work from the mining/ metallurgical industry and related research agencies, in line with Division’s current business plans, by providing competence and professional expertise, and interacting with clients and collaborators at a technical level.
• Ascertain the needs of clients and the industry and propose appropriate project work, both research and commercial oriented.
• Lead and execute projects in which interactions with technical expertise and stakeholders (internal and external) are required at a professional level. This will involve algorithm/software development to extract appropriate information, and modelling, simulation and interpretation of mineral behaviour in processing and other environments using,primarily, image inputs from mineralogical equipment.
• Execute projects so as to meet the time scheduling agreed to with client/stakeholder, contain costs for the Division and deliver valid conclusions with technical efficiency and professionalism.
• Comply with the internal administration requirements of Mintek and MND with respect to labour and machine time capture, business governance, professional reporting, project planning and management.
• Follow protocols/workflows for optimal operation and performance of specialised imaging equipment.
• Ensure that QES procedures are followed, and project work is executed to produce valid conclusions and with maximum overall efficiency - technically and financially.
• Ensure that the documentation of work and procedures is appropriately captured and produce professional level reports, publications, conference contributions.

Minimum requirements

Qualifications:

• MSc in Data Science, Computer Science, Engineering (Electronic/Electrical) or equivalent.
• PhD would be advantageous.

Experience:

• 2 years or more experience (including postgraduate experience) in the field of data and image (2D/3D) analysis applications using commercial/open source platforms (e.g. Matlab, Python, R, Image J, VG  StudioMax, Aviso, etc.).
• Coding and/or modelling experience, preferably with mineralogical/metallurgical/chemical data.