Academic Faculty Position — Electric Power 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 disciplines in electric power engineering, electrical systems and networks, renewable energy sources, smart power systems, power system operation modelling and related courses at Master's level.
• Development and regular updating of course syllabi and teaching materials in accordance with the programme's learning objectives and outcomes, requirements of the State Educational Standards, NQF, OQF and professional standards in the field of electric power engineering.
• Updating course content to reflect current trends: Smart Grid, Energy Storage Systems, RES integration, Digital Twin for power systems, ESG Energy Management, Power System Decarbonization.
• Academic supervision of Master's dissertations on topics related to smart power systems, RES integration, energy object modelling, energy storage systems and energy efficiency management.
• Participation in research and applied projects of the university.

Requirements

Education

Possession of a PhD degree or an equivalent degree in electric power engineering, electrical systems and networks, electrical engineering, renewable energy or related fields. A related profile is acceptable if the dissertation topic, publications, taught disciplines and professional experience are connected to electric power engineering, power system modelling, smart grids or renewable energy sources.

• Ability to translate these competencies into high‑quality teaching and student supervision at all levels of higher education

Experience

Academic and teaching experience in accordance with the requirements for academic teaching staff positions established by the university's internal regulations and the legislation of the Republic of Kazakhstan.

Language requirements

English language proficiency is desirable.

Key competencies

Core professional competencies

• Deep understanding of the operating principles of electric power systems — generation, transmission, distribution and consumption of electricity — and the ability to teach the relevant disciplines at a modern methodological level.
• Knowledge of methods for analysing and modelling steady-state and transient power system regimes, and the ability to teach students the use of appropriate calculation tools.
• Understanding of the regulatory framework in the electric power sector of the Republic of Kazakhstan and IEC standards for electric power systems.
• Knowledge of renewable energy principles and the ability to incorporate RES and energy transition topics into the content of taught disciplines.

Additional professional competencies

• Smart Grid and digital substations: understanding of smart power system architecture, digital substation operating principles and the IEC 61850 standard, sufficient to teach the relevant courses.
• Energy Storage Systems: knowledge of the operating principles of energy storage systems — pumped-storage hydro, battery complexes, supercapacitors — and their role in power system balancing.
• RES integration: understanding of hybrid power system modelling methods with hydro, solar and wind generation; familiarity with PSCAD, MATLAB/Simulink, ETAP or DIgSILENT PowerFactory tools at a level sufficient to supervise students' calculation work.
• Digital Twin for power systems: understanding of the digital twin concept for monitoring and optimising energy facilities.
• ESG Energy Management: knowledge of the ISO 50001 standard and energy efficiency management approaches applied within ESG reporting frameworks.
• Power System Decarbonization: understanding of electricity sector decarbonisation strategies, carbon pricing mechanisms and their impact on the development of Kazakhstan's power systems.

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.

Contact: hr@kaznuvhi.edu.kz

Publications

Peer-reviewed publications indexed in Scopus, Web of Science or included in the CQAES RK list, in the relevant field of the vacancy. Participation in research projects, grants or applied developments related to the field is an advantage.