Mintek is South Africa’s national mineral research organisation and is one of the world’s leading technology organisations specialising in mineral processing, extractive metallurgy and related areas. Mintek works closely with industry and other R&D institutions and provides service testwork, process development and optimisation, consulting and innovative products to clients worldwide. Mintek is a state-owned science council that reports to the Minister of Mineral Resources.
Mintek’s mandate is to serve the national interest through research, development and technology transfer, to promote mineral technology and to foster the establishment and expansion of industries in the field of minerals and products derived therefrom.
The technical programmes at Mintek are aimed at generating high economic returns for the national and regional economies while social programmes focus on skills development and educational initiatives. An important target is the nurturing of self-sustaining local economies in areas of South Africa where smaller minerals extraction and beneficiation enterprises have the capability to generate broad-based employment and wealth. The Mintek corporate structure is headed by a Board, which includes a Chairperson and Mintek’s CEO, together with an additional six to nine other members. The Chairperson is appointed by the Minister of Mineral Resources.
Mintek’s Board of Directors brings a significant technical and business expertise to the company, ensuring that both the technical and the social targets will have a meaningful impact on the present and future economy of South Africa.
The CEO of Mintek is supported by the Executive Management team and 14 Divisional Managers.
Mintek is embarking on an exciting research project to develop technologies for the metallurgical industry, including minerals processing, using reinforcement learning. As part of this project, Mintek is making available bursaries for Masters and Doctoral studies into the applications of reinforcement learning within metallurgy.
The combination of reinforcement learning and deep learning has led to amazing breakthroughs in robotics and artificial intelligence. The field of metallurgy is lagging behind in this trend, yet there are significant opportunities to improve the profitability of metallurgical plants by using reinforcement learning.
What the bursary covers:
- Full tuition/including registration;
- Accommodation and Meals fees;
- Laptop Allowance;
- Text Book Allowance
Bursary Requirements and Eligibility
- South African citizens.
- Candidates must have completed an undergraduate engineering degree with an excellent academic record in chemical, electrical, mechanical or metallurgy engineering.
- Studying towards their Masters or PhD degree studies focusing on the applications of reinforcement learning within the metallurgy.
- Prior research in reinforcement learning, deep learning or machine learning is advantageous.
- Formal exposure to software development is required, preferably in Python.
How to Apply and Application Details
You need to apply online for the bursary. Click here to start the online application.
Shortlisted candidates will be required to undergo interviews and will be required to write a psychometrics’ test.
Should you not hear from us within one (1) month of the closing date, consider your application to be unsuccessful.
Closing Date 20 March 2020
MINTEK Human Resources and Development Division
Private Bag X3015, Randburg, South Africa 2125.
E-mail: [email protected]
Telephone (011) 709 4111