MINTEK VACANCIES

MINTEK

ENGINEER: PHYSICAL SEPARATION GROUP (RE-ADVERT)
Listing reference: minte_000181
Listing status: Online
Apply by: 10 June 2024

Position summary
Industry: Mining & Quarrying
Job category: Engineering, Technical, Production and Manufacturing
Location: Randburg
Contract: Permanent
Remuneration: Market Related
EE position: No

Introduction
An exciting career opportunity exists at Mintek for Engineer: Physical Separation Group. The successful incumbent will conduct basic technical tasks without direct supervision within a single field of research, provide data that is accurate and ensure compliance with document control and document management processes for simple projects. All suitably qualified and experienced candidates are invited to apply.

Job description
KEY PERFORMANCE INDICATORS:

Financial sustainability

Prepare proposals under direct/limited supervision, including Open Call proposals.

Execution, People and Planning

Perform routine scientific and engineering research using standard methods, procedures and equipment. Act as Principal investigators on such projects.
Perform complex scientific and engineering research under supervision.
Design, operate and oversee discipline specific experimental work and ensure that procedures are complied with, and quality control and continual improvement are applied.
Collect and interpret data at a quantitative and qualitative level using discipline specific standard methodologies and procedures. Including the preparation of analytical and descriptive narratives. Ensure that the interpretation is based on sound scientific / engineering theory.
Plan and manage projects to ensure efficient use of time, equipment and facilities, including coordinating with others.

Governance and Risk Management

Ensure proper care in the use and maintenance of equipment and supplies, promote continual improvement in the workplace, adhere to and enforce all SHEQ requirements.
Ensure that the project team understands and adheres to all SHEQ requirements.
As Principal Investigator responsible for the assessment and management of all risks at a project level.
May be responsible for equipment / facilities.

Relationship Management and Reporting

Present at local conferences and publish conference papers, journal papers.

Interactions

Staff in own division, across other divisions to head level; suppliers and vendors (engineers), clients/collaborators at technical level.

Minimum requirements
QUALIFICATIONS AND EXPERIENCE

Minimum: B. Sc. Hons in Engineering
Ideal: MSc, MEng (NB: other lower degrees, must attain the minimum requirement to stay in this position)
1- 2 years vocational experience following first graduation (BSc Hon/BEng)
Must have 2 - 3 years Comminution and Flotation or Physical Separation experience.

BEHAVIOURAL COMPETENCIES:

Excellent interpersonal skills.
Ability to cope in a stressful and demanding environment.

APPLY

CANDIDATE ENGINEER: MACHINE LEARNING SOFTWARE ENGINEER
Listing reference: minte_000237
Listing status: Online
Apply by: 7 June 2024

Position summary
Industry: Scientific, Research & Development
Job category: Other: Mining
Location: Randburg
Contract: Permanent
Remuneration: Market Related
EE position: Yes

Introduction
Mintek has an exciting opportunity for a Graduate Engineer to research and develop innovative and practical artificial intelligence solutions for the minerals processing industry. The engineer will work with the software team, contributing to the development of new products for the South African and global minerals and metals industry

Job description
KEY PERFORMANCE INDICATORS:
·         Conduct research into machine learning applications (reinforcement learning, supervised and unsupervised ML) in the minerals processing industry as part of a team;
·         Contribute to the development of products from their research.
·         Ensure that projects are executed on time and within budget;
·         Participate in team debates and technical decisions;
·         Produce professional reports, papers and presentations at local and international conferences;
·         Conceptualise, design, execute, analyse and troubleshoot under supervision;
·         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)
- Python programming language experience
Suitable candidates must possess at least a B.Sc Hons or 4-year B.Eng degree and be willing to study further towards an M.Sc and PhD in a field aligned with Mintek’s research. M.Sc or PhD is preferred.
C , C# or VB.NET experience a bonus.

COMPETENCIES:
·         Academic writing, communication and presentation skills
·         Numerical and quantitative skills
·         Self-driven
·         People skills
·         Ability to multi task
·         Ability to get things done
·         Ability to lead by example

Advanced Process Control and Process Modelling is advantageous

SALARY PACKAGE: Negotiable

CLOSING DATE: 07 June 2024

The above-mentioned vacancy is also available on the Mintek website at www.mintek.co.za

Should you not hear from us within one (1) month of the closing date, consider your application to be unsuccessful.

Mintek is an equal opportunity, affirmative action employer, whose aim is to promote representivity in all levels of occupational categories

APPLY

ENGINEER: MACHINE LEARNING SOFTWARE ENGINEER
Listing reference: minte_000238
Listing status: Online
Apply by: 7 June 2024

Position summary
Industry: Scientific, Research & Development
Job category: Other: Mining
Location: Randburg
Contract: Permanent
Remuneration: Market Related
EE position: Yes

Introduction
Mintek has an exciting opportunity for an Engineer to conduct research and develop innovative and practical artificial intelligence solutions for the minerals processing industry. The engineer will work with the software team, contributing to the development of new products for the South African and global minerals and metals industry

Job description
KEY PERFORMANCE INDICATORS:
·         Conduct research into machine learning applications (reinforcement learning, supervised and unsupervised ML) in the minerals processing 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;
·         Actively participate in the training, guidance and motivation of junior staff. Participate in team debates and technical decisions;
·         Produce professional reports, papers and presentations at local and international conferences;
·         Conceptualise, design, execute, analyse and troubleshoot independently;
·         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)
- Academic writing, ability to present (evidenced by publication record)
- English-speaking
- Python programming language experience
Suitable candidates must possess at least a B.Sc Hons or 4-year B.Eng degree and be willing to study further towards an M.Sc and PhD in a field aligned with Mintek’s research. An M.Sc or PhD in a machine learning field is preferred.
2 years vocational experience following first graduation (BSc Hon/BEng).
C , C# or VB.NET experience a bonus.

COMPETENCIES:
·         Communication and presentation skills
·         Numerical and quantitative skills
·         Self-driven
·         People skills
·         Ability to multi task
·         Ability to get things done
·         Ability to lead by example

Advanced Process Control and Process Modelling is advantageous

SALARY PACKAGE: Negotiable

CLOSING DATE: 07 June 2024

The above-mentioned vacancy is also available on the Mintek website at www.mintek.co.za

Should you not hear from us within one (1) month of the closing date, consider your application to be unsuccessful.

Mintek is an equal opportunity, affirmative action employer, whose aim is to promote representivity in all levels of occupational categories

APPLY

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