Principal Scientist at Mintek

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 businessplans, by providing competence and professional expertise, and interacting with clients,collaborators and potential partners.
• Ascertain the needs of clients and the industry and propose appropriate project work, both research and commercial-oriented. Identify opportunities for innovation and commercialisation.
• Lead and execute projects in which interactions with stakeholders (internal and external) are required at an advanced level of technical expertise. 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, mineralogical inputs.
• Train, and technically mentor the staff in the group, so as to improve technical quality and turnaround times, and promote innovative outcomes, thus enhancing the value proposition of the group to clients and collaborators.
• 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 the Mineralogy Division with respect to labour and machine time capture, business governance, professional reporting, project planning and management.
• Develop 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 advanced professional-level reports, publications, and conference contributions.

Minimum requirements

• PhD in a relevant scientific field relating to the Discipline (science or engineering).
• At least 6 years experience in the field of data analysis and modelling directly related to the duties and responsibilities specified.
• Fundamental knowledge of operating in a laboratory environment. Any experience with image analysis and research equipment is advantageous.
• Advanced knowledge of research principles and methodologies.
• Knowledge of advanced data analysis, methods, and techniques.