Academic Faculty Position — Mining Engineering

About the position

This vacancy is open to candidates across the full academic ladder — from Senior lecture to Professor level (or equivalent). Applicants are required to indicate a preferred title. The final position level will be confirmed by the University's Selection Committee based on the candidate's qualifications, publications, and experience.

Responsibilities

• Teaching courses in mining engineering, open-pit and underground mining, drilling and blasting technologies, mine surveying, the design of mining enterprises, engineering calculations, and related subjects at the undergraduate and graduate levels.
• Developing and regularly updating course syllabi and instructional materials in line with the learning objectives and outcomes of program 6B07221, the requirements of the State Compulsory Standards of Education, the National and Sectoral Qualifications Frameworks, and relevant industry professional standards.
• Updating course content to reflect current developments such as digital mining technologies, mine planning and optimization, smart mining systems, UAV-based digital mine surveying, mine data analytics, and ESG and sustainable subsoil use.
• Supervising coursework, thesis and master's research on mine planning, digital open-pit mining, production data analysis, mine surveying, automation, and sustainable subsoil use.
• Participating in the university's research and applied projects and liaising with organizations and employers in the mining sector.

Requirements

Education Requirements

• Possession of a PhD degree or an equivalent degree in mining engineering, open-pit or underground mining, mine surveying, geotechnology, mineral deposit development, drilling and blasting, or a related field.
• Candidates from adjacent fields may be considered provided that their dissertation topic, publications, courses taught, and professional experience relate to mining production, open-pit design, mine surveying, digital mining technologies, mining data analysis, or mining automation.
• Ability to translate these competencies into high‑quality teaching and student supervision at all levels of higher education

Experience Requirements

• Academic and teaching experience consistent with the requirements for the position of Professor / Associate Professor (Dotsent) established by the university's internal regulations and the legislation of the Republic of Kazakhstan in force.

Language Requirements

• For teaching in the state and/or Russian language: fluency in the state and/or Russian language sufficient to conduct classes, engage in scholarly communication, and handle business correspondence.
• For teaching in English: a confirmed level of English proficiency sufficient to conduct classes and carry out academic duties.

Key competencies

Core Professional Competencies

• A thorough understanding of the principles of designing mining enterprises and organizing open-pit and underground mining operations, with the ability to teach the corresponding engineering subjects at a contemporary methodological level.
• Expertise in drilling and blasting technologies, mine surveying, and engineering calculations in mining, with the ability to teach students the relevant calculation and design methods.
• An understanding of resource-saving technologies and approaches to managing mining production, sufficient for developing and teaching the relevant courses.
• Knowledge of industry processes, industrial safety requirements, and professional standards in the mining sector.

Additional Competencies

• Digital Mining Technologies and Mine Planning: an understanding of mine-planning software such as Surpac, Datamine, Micromine, MineSched, and Vulcan, and of open-pit design methods.
• Smart Mining Systems: digital open-pit mining, autonomous equipment (AutoMine-class systems), dispatching, mine automation, Industrial IoT, and the automated management of mining production.
• UAV-Based Digital Mine Surveying: experience with UAV mapping, Pix4D, Agisoft Metashape, Leica Geo Office, photogrammetry, laser scanning, and digital open-pit model construction.
• Mine Data Analytics: an understanding of Python, SQL, Power BI, and methods for analyzing production data, forecasting, and Big Data in mining production.
• ESG and Sustainable Subsoil Use: ESG reporting, land reclamation, carbon accounting, environmental audit, ESG risk assessment, and sustainable subsoil use measures.
• Mine Digital Twin and Geodata: building digital open-pit models and integrating digital platforms into mining production management.
• International Reserve Reporting Standards: knowledge of JORC and/or NI 43-101 standards is an advantage.

Selection process

selection process includes interview, presentation of the teaching course and research work to be conducted

Documents

• a CV including a list of publications;
• a motivation letter (maximum 1 page) describing research and teaching interests;
• copies of diplomas and degree certificates;
• where applicable, a list of research projects and grants, as well as information on supervision of master's and PhD students.