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Mintek Bursary

Title: Advancing Metallurgy with Mintek Bursaries

Introduction:

Mintek, South Africa’s national mineral research organization, has been at the forefront of metallurgical engineering and mineral processing since its establishment in 1934. As one of the leading technology organizations globally, Mintek is committed to advancing the field of metallurgy through research and development. In line with this vision, Mintek offers bursaries for Masters and Doctoral studies focused on the applications of reinforcement learning within Metallurgy. This blog post provides an overview of Mintek, the fields covered by the bursary program, eligibility requirements, application process, and contact information.

About Mintek:

Mintek is a proudly South African organization that provides a range of metallurgical engineering and mineral processing products and services. With ten technical divisions covering various disciplines such as biotechnology, mineralogy, minerals processing, and more, Mintek plays a crucial role in driving innovation and excellence in the industry. As a national mineral research organization, Mintek is dedicated to advancing the technological landscape and contributing to South Africa’s economic growth.

Fields Covered:

Mintek’s bursary program focuses on the applications of reinforcement learning within Metallurgy. Successful candidates will conduct applied and theoretical research into the use of reinforcement learning in metallurgical processes and plants, both at Mintek and their respective universities. This presents a unique opportunity to explore cutting-edge technologies and contribute to the advancement of the field.

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Coverage and Selection:

The bursary offers comprehensive coverage, including registration fees, tuition fees, meals, accommodation, a textbook allowance, and a laptop allowance. Shortlisted candidates will be invited to attend an interview and complete a psychometrics test as part of the selection process. Applicants can expect to receive feedback within one month of the application deadline.

Eligibility Requirements:

To be considered for the Mintek bursary, applicants must meet the following criteria:

  • Be a South African citizen
  • Have completed Matric
  • Hold an undergraduate degree in Chemical Engineering, Electrical Engineering, Mechanical Engineering, or Metallurgy Engineering
  • Pursuing a Masters or PhD degree with a focus on reinforcement learning within metallurgy
  • Studying at a recognized tertiary institution in South Africa
  • Have formal exposure to software development, preferably in Python
  • Research experience in reinforcement learning, deep learning, or machine learning (advantageous but not essential)
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Application Process:

Interested individuals can apply online by visiting the Mintek application portal, using the reference “BUR//02.” The online application requires the submission of clear copies of essential documents, including an ID document, Matric certificate, undergraduate degree certificate, and full tertiary academic record. Ensure that all required documentation is provided to avoid disqualification.

Closing Date:

The closing date for applications is 20 March. Applicants are encouraged to submit their applications well in advance to ensure consideration.

Contact Information:

For any inquiries regarding the Mintek bursary program, applicants can contact the Human Resources and Development Division directly via telephone at 011 709 4971 or email at bursaries@mintek.co.za or careers@mintek.co.za.

Conclusion:

Mintek’s bursary program provides a remarkable opportunity for aspiring researchers to explore the applications of reinforcement learning in metallurgy. By partnering with Mintek, students can contribute to the advancement of the field while receiving comprehensive financial support. If you meet the eligibility criteria and have a passion for metallurgical engineering, don’t miss the chance to apply for the Mintek bursary. Take a step toward building a successful career in metallurgy and contributing to the future of the industry.

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