Senior Specialist - IT Application Mining

Responsibilities

Numerical Modelling & Programming

Develop, implement, and optimize numerical algorithms within finite difference, finite element, and discrete element software platforms for mining applications.

Write and maintain efficient, scalable code in C++, Python, and FISH, tailored to geotechnical and rock mechanics modelling workflows.

Customize and extend functionalities of tools such as FLAC/FLAC3D, UDEC/3DEC, and other geomechanical software through scripting and API integration.

Automation & Innovation

Design and deploy coding solutions that automate repetitive tasks and enhance efficiency across engineering workflows.

Identify and implement opportunities for process automation, contributing to resource optimization and improved modelling productivity.

Collaboration & Integration

Work collaboratively with engineers, geologists, and technical leads to understand project requirements and translate them into software-based solutions.

Integrate developed scripts and automation routines into existing platforms and project workflows.

Quality Assurance

Conduct rigorous testing and validation of numerical models and coding deliverables to ensure technical reliability and robustness.

Participate in peer code reviews and contribute to the establishment and enforcement of coding best practices and standards.

Research & Development

Stay current with industry trends in numerical modelling, simulation, and automation.

Contribute to innovation by researching and applying new technologies, including machine learning, generative AI, and image recognition where applicable to mining challenges.

Mandatory Skills

Excellent verbal and written communication skills in English.

Strong programming proficiency in C++, Python, and FISH.

Solid foundation in computer science, information technology, or engineering (mining/geotechnical preferred).

Willingness and ability to learn new programming languages and software tools.

Desired Skills

Prior experience working with mining or geotechnical modelling software (e.g., FLAC3D, 3DEC, UDEC, RS2).

Exposure to automation and scripting in engineering applications.

Experience with machine learning algorithms, generative AI, and image recognition technologies is a strong advantage.

Proven ability to innovate and challenge conventional approaches in a technical environment.

Qualifications

Bachelor’s or higher degree in Computer Science, Software Engineering, or a related field.

7–10 years of experience in programming, ideally in support of mining or geotechnical applications.

Demonstrated experience with coding for finite difference and discrete element methods, particularly in mining/civil engineering contexts.