Academic Faculty Position — Land Management

About the position

Applicants are invited to indicate their preferred title in the application (e.g., Assistant Professor, Associate Professor (Dotsent), or Professor — or equivalent). The final position level will be confirmed by the University's Selection Committee based on the assessment of the candidate's qualifications, publications, and experience.

Responsibilities

• Teaching courses in land management, land management design, land monitoring and protection, geodesy and cartography, GIS and remote sensing, land legislation, 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 EP 6B07312, and the requirements of state educational standards, national and sectoral qualifications frameworks, and professional standards in land management and cadastre.
• Updating course content to reflect current directions: Land Governance, Smart Territory Management, Digital Land Management, Spatial Data Science, Land Information Modelling, PropTech, ESG Land Management, digital land monitoring.
• Supervising term papers, theses, and master's projects on land management projects, digital land management, spatial analytics, and sustainable land resource management.
• Participating in the university's research and applied projects, and collaborating with relevant government bodies, cadastre and GIS companies, and design institutes.

Requirements

Education Requirements

• Possession of a PhD degree or an equivalent degree in land management, cadastre, land resource management, geodesy and cartography, geoinformatics, or related fields.
• A related specialization may be accepted if the topic of the dissertation, publications, taught courses, and professional experience relates to land management design, land monitoring and protection, GIS/remote sensing, spatial analytics, or land resource management.
• Ability to translate these competencies into high‑quality teaching and student supervision at all levels of higher education

Experience Requirements

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

Language Requirements

English language proficiency is desirable.

Advantages

Core Competencies

• In-depth understanding of the principles of developing land management projects and organizing rational land use at various levels (plot, farm, district, region); ability to teach relevant disciplines at a current methodological level.
• Expertise in land monitoring and protection, analysis of the condition of land resources, and preparation of land management and cadastral documentation, with the ability to train students in the relevant methods and procedures.
• Professional competence in applying geodetic and cartographic methods, using GIS and geodetic technologies to address land management tasks, sufficient for teaching and supervising student and master's research on this topic.
• Knowledge of the land legislation of the Republic of Kazakhstan and the legal regulation of land relations.

Additional Competencies

• Land Governance and European Land Administration: understanding of land resource management concepts, land administration institutions, international approaches to land governance, and European Land Administration.
• Smart Territory Management and Spatial Planning: experience in spatial planning, Smart City/Smart Region, developing territorial planning projects, and Smart Territory.
• Digital Land Management and Land Information Modelling: digital land management, digital land resources, Land Information Systems, Land Information Modelling (LIM), BIM and GIS integration, Digital Twin elements for territories, digital territory management services.
• GIS, Spatial Data Science, and Big Data: understanding of working with ArcGIS Pro, QGIS, MapInfo, AutoCAD Civil 3D, geodatabases, and spatial analytics methods, sufficient for teaching; familiarity with Python, GeoPandas, ArcPy, QGIS API, and Power BI for Big Data spatial analysis is an advantage.
• Remote sensing and digital land monitoring: working with Sentinel and Landsat data, using Google Earth Engine, photogrammetry, and automated methods for monitoring land condition.
• ESG and sustainable land resource management: understanding of ESG approaches, sustainable land use, climate risks, land degradation, and integration of ESG factors into land management solutions.
• International real estate valuation and management standards: knowledge of RICS (Royal Institution of Chartered Surveyors) and IVS (International Valuation Standards) standards, as well as the fundamentals of PropTech (digital technologies in real estate and land resources), 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.