10 Material Science jobs in South Africa

Listing reference: minte_000270

Listing status: Online

Apply by: 27 August 2024

Industry: Scientific, Research & Development

Job category: Research and Development

Location: Randburg

Contract: Permanent

Remuneration: Market Related

EE position: Yes

Mintek has exciting opportunities for a Research Engineer within the Pyrometallurgy Division to conduct fundamental and applied research in the design, development and demonstration of pyrometallurgical processes and technologies. The position will focus on developing computational materials science models to enhance understanding of the thermophysical and thermochemical properties of selected conventional and non-conventional slag systems. The role requires a strong understanding of computational materials chemistry, thermochemistry, phase equilibria, reaction kinetics, and engineering design fundamentals. Contributing to human capital development and willingness to work towards a common purpose with a strong sense of equity and inclusion are non-negotiable attributes of the role.

JOB KNOWLEDGE AND REQUIREMENTS:

• 1-3 years’ experience in pyrometallurgy research and technology development.
• Demonstrated ability to develop experimental techniques, models and prototypes.
• Experience with designing and operating electric arc furnaces is an added advantage.
• Strong understanding of computational materials science modelling using both ab initio and molecular dynamics methods, and their application to the calculation of thermodynamic and transport properties of high-temperature metallurgical systems in solid and liquid states.
• Proven experience with open source computational materials science tools such as LAMMPS, DL-POLY, Quantum Espresso, or similar.
• Strong understanding of pyrometallurgy fundamentals and demonstrated ability to conceptualise and deliver high impact research in pyrometallurgy.
• Strong portfolio of publications in peer-reviewed journals is a distinct advantage.
• Experience with pyrometallurgical process software and design tools such as PyroSim, FactSage or similar is an added advantage.
• Experience with software automation and scripting languages such as Python is an added advantage.
• Knowledge or experience with SHEQ systems.
• Knowledge of technology transfer, commercialisation and product development is highly advantageous.
• Demonstrated ability to attract investment or R&D funding is highly advantageous.

QUALIFICATIONS:

• Minimum BSc Eng/BEng degree in Engineering (Metallurgical/Chemical/Mechanical/Process/Materials Sciences) or equivalent, with a strong emphasis on pyrometallurgy research and technology development.
• Ideally, PhD in Engineering (Metallurgical/Chemical/Process/Materials Science) or equivalent, with a strong emphasis on modelling competencies relevant to pyrometallurgy research and technology development.
• Postdoctoral research experience, with strong emphasis on computational materials science modelling, is highly advantageous.
• Familiarity with high performance computing and the use of shared/remote computational resources is desirable.
• Professional recognition and registration are an added advantage.
• Experience with postgraduate research is desirable.

BEHAVIOURAL COMPETENCIES:

• Team player who enjoys variety and has a strong affinity for planning and conducting new and innovative projects.
• Passion for pyrometallurgy research, technology development and technology transfer.
• Good interpersonal skills.
• Ability to work in a stressful and demanding environment.
• Willing to travel locally and internationally.
• Prepared to work shifts in hot and dusty plant environments when required.
• Ability to independently engage with industry leaders, operators and high-level international partners.

Established mining services company seeks experienced Materials Controller for Northern Cape operations.

Requirements

• National Senior Certificate & Valid Driver's Licence
• 5+ years materials control/ inventory management experience
• Excellent English communication & MS Office proficiency
• Strong organizational, negotiation & customer service skills
• Knowledge of resource management and budgeting
• Advantageous: Relevant tertiary qualification

Key Responsibilities:

• Implement and manage stock control systems
• Conduct monthly stock takes and maintain optimal stock levels
• Ensure mining safety regulation compliance
• Manage subordinate staff and system integrity
• Parts allocation and warehouse management

• A PhD in materials sciences or engineering (Metallurgical, Mechanical, or Industrial Engineering).
• 12+ years of post-PhD experience in Research, Development & Innovation or Manufacturing.
• 8+ years in senior-level strategic leadership or business management within the Research, Development and Innovation sector.
• Proven leadership in Research and Development projects.
• A strong track record in:
  
  • Strategic industry engagement and insight into competitiveness drivers (product/manufacturing).
  • Technological insight and its impact on industry competitiveness.
  • Capacity building, including human capital development, research rigor, and infrastructure development.

• sr specialist materials industrial engineer

We are currently on a search for a Senior Specialist – Materials (Industrial Engineer) to join the largest manufacturer and distributor of major appliances company in Southern Africa, to be based in Durban. This role will be responsible for the meticulous coordination and execution of all export activities to ensure timely and efficient delivery of product.

KEY RESPONSIBILITIES :

• Planning of material requirements for serial production,
• Coordinating of supply chain for serial production materials from local and foreign suppliers,
• Tracking inventory levels according to business targets,
• Managing material flow for daily & long-term purchase orders,
• Coordinating and following transport requirements of material shipments,
• Managing stock levels of critical components,
• Managing the obsolete materials,
• Developing strong relationships with suppliers and improve supplier capability,
• Ensuring that the right materials are in stock in the required time frame

SKILLS & QUALIFICATIONS :

• Bachelor's Degree in Industrial Engineering (Master Degree is a plus),
• Minimum 4years of experience in material/production planning,
• Knowledge of SAP or ERP system,
• Sound knowledge of MS Office programs
• Business Acumen
• Understanding needs of the market & customer,
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to prioritise effectively and work under pressure.
• Excellent attention to detail and organizational skills.

• sr specialist materials industrial engineer

We are currently on a search for a Senior Specialist – Materials (Industrial Engineer) to join the largest manufacturer and distributor of major appliances company in Southern Africa, to be based in Durban. This role will be responsible for the meticulous coordination and execution of all export activities to ensure timely and efficient delivery of product.

KEY RESPONSIBILITIES :

• Planning of material requirements for serial production,
• Coordinating of supply chain for serial production materials from local and foreign suppliers,
• Tracking inventory levels according to business targets,
• Managing material flow for daily & long-term purchase orders,
• Coordinating and following transport requirements of material shipments,
• Managing stock levels of critical components,
• Managing the obsolete materials,
• Developing strong relationships with suppliers and improve supplier capability,
• Ensuring that the right materials are in stock in the required time frame

SKILLS & QUALIFICATIONS :

• Bachelor's Degree in Industrial Engineering (Master Degree is a plus),
• Minimum 4years of experience in material/production planning,
• Knowledge of SAP or ERP system,
• Sound knowledge of MS Office programs
• Business Acumen
• Understanding needs of the market & customer,
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.
• Ability to prioritise effectively and work under pressure.
• Excellent attention to detail and organizational skills.

Our client is a medium-sized engineering company based in Stellenbosch, specializes in the design, development, integration, implementation, and support of complex hardware and software systems. The client’s Data Science team is looking for a Senior Software Engineer with strong Data Science expertise to help design and implement cutting-edge machine learning and AI features. These features will unlock powerful insights and real value from the massive volumes of data processed by our large-scale, real-time distributed systems.

In this role, you'll collaborate with a team of highly skilled professionals in a dynamic and innovative environment. You’ll be involved from the very beginning of the product lifecycle— evolving ideas, implementation, all the way to deployment at client sites. This is a rare opportunity to build solutions that have real-world impact while working at the intersection of software engineering and data science.

The ideal candidate is a proactive problem solver who takes full ownership of his/her work and thrives in dynamic environments. You are naturally curious, adaptable and eager to learn. Strong communication skills are essential, as you'll be expected to convey complex technical concepts clearly to both technical peers and non-technical stakeholders. You’ll collaborate closely across multiple teams to tackle challenging, real-world problems—always keeping the end user and support teams in mind to ensure that the features you help build are both impactful and practical.

Required:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a focus on data science, AI, or machine learning.
• At least 4 years of hands-on experience in a data science or data-focused software engineering role.
• Proven experience in the training, deployment and operational support of machine learning or AI models in production environments.
• Strong programming skills in Python and/or Java, with a solid understanding of software engineering principles and best practices.
• Proficient in database design and querying, including experience with SQL and working with large datasets.
• Comfortable working in Unix-based environments, including scripting, troubleshooting and networking.
• Experience with data wrangling, feature engineering and model evaluation techniques.
• Experience with version control systems, container technologies, microservice-based architectures, and CI/CD pipelines tailored for machine learning workflows.

• Masters in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
• Experience working with real-time or event processing systems, such as Apache Kafka.
• Strong understanding of distributed systems and scalability challenges in big data environments.
• Practical experience with audio processing, NLP, LLM or RAG techniques.
• Experience building and deploying ML services as dynamically scalable microservices.
• Proven ability to mentor junior team members and contribute to technical leadership within a team.
• Background in telecommunications, signal processing or IP networks will be a big bonus.

• Kafka
• Java
• Git
• Vertica
• Grafana
• Elasticsearch
• gPRC
• Python
• Jupyter
• Docker

• Exciting personal and career growth opportunities.
• A collaborative, relaxed, and innovative work culture.
• The chance to work with state-of-the-art technologies and complex distributed systems.
• Hybrid working (In office 3 Days per week)

• Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
• Only SA Citizens will be considered
• Please include your current salary and salary expectations.

Desired Skills:

• Artificial Intelligence
• Data Science
• Database Design
• Java
• Machine Learning
• Programming
• Python

Our client is a medium-sized engineering company based in Stellenbosch, specializes in the design, development, integration, implementation, and support of complex hardware and software systems. The client’s Data Science team is looking for a Senior Software Engineer with strong Data Science expertise to help design and implement cutting-edge machine learning and AI features. These features will unlock powerful insights and real value from the massive volumes of data processed by our large-scale, real-time distributed systems.

In this role, you'll collaborate with a team of highly skilled professionals in a dynamic and innovative environment. You’ll be involved from the very beginning of the product lifecycle— evolving ideas, implementation, all the way to deployment at client sites. This is a rare opportunity to build solutions that have real-world impact while working at the intersection of software engineering and data science.

The ideal candidate is a proactive problem solver who takes full ownership of his/her work and thrives in dynamic environments. You are naturally curious, adaptable and eager to learn. Strong communication skills are essential, as you'll be expected to convey complex technical concepts clearly to both technical peers and non-technical stakeholders. You’ll collaborate closely across multiple teams to tackle challenging, real-world problems—always keeping the end user and support teams in mind to ensure that the features you help build are both impactful and practical.

Required:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, or a related quantitative field with a focus on data science, AI, or machine learning.
• At least 4 years of hands-on experience in a data science or data-focused software engineering role.
• Proven experience in the training, deployment and operational support of machine learning or AI models in production environments.
• Strong programming skills in Python and/or Java, with a solid understanding of software engineering principles and best practices.
• Proficient in database design and querying, including experience with SQL and working with large datasets.
• Comfortable working in Unix-based environments, including scripting, troubleshooting and networking.
• Experience with data wrangling, feature engineering and model evaluation techniques.
• Experience with version control systems, container technologies, microservice-based architectures, and CI/CD pipelines tailored for machine learning workflows.

Preferred:

• Masters in Data Science, Computer Science, Engineering, Applied Mathematics, or a related field.
• Experience working with real-time or event processing systems, such as Apache Kafka.
• Strong understanding of distributed systems and scalability challenges in big data environments.
• Practical experience with audio processing, NLP, LLM or RAG techniques.
• Experience building and deploying ML services as dynamically scalable microservices.
• Proven ability to mentor junior team members and contribute to technical leadership within a team.
• Background in telecommunications, signal processing or IP networks will be a big bonus.

Tech Stack:

• Kafka
• Java
• Git
• Vertica
• Grafana
• Elasticsearch
• gPRC
• Python
• Jupyter
• Docker

What’s on Offer

• Exciting personal and career growth opportunities.
• A collaborative, relaxed, and innovative work culture.
• The chance to work with state-of-the-art technologies and complex distributed systems.
• Hybrid working (In office 3 Days per week)

Other:

• Only shortlisted candidates will be contacted. Should you not hear from us after 30 days you may consider your application unsuccessful
• Only SA Citizens will be considered
• Please include your current salary and salary expectations.