Academic Faculty Position — Logistics and Traffic Management

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 transport logistics, transport organization, traffic flow management, supply chain logistics, digital logistics systems, intelligent transport systems, 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 6B11311, the requirements of the State Compulsory Standards of Education, the National and Sectoral Qualifications Frameworks, and professional standards in transport services and logistics.
• Updating course content to reflect current developments such as supply chain analytics, digital logistics, Logistics 4.0, intelligent transport systems, smart mobility, urban logistics, e-commerce logistics, AI in logistics, blockchain logistics, and ESG logistics.
• Supervising coursework, thesis and master's research on digital logistics, logistics data analysis, intelligent transport systems, urban mobility, and sustainable logistics.
• Participating in the university's research and applied projects and liaising with transport and logistics companies, transport operators, and transport authorities.

Requirements

Education Requirements

• Possession of a PhD degree or an equivalent degree in logistics, transport logistics, transport organization, transport systems management, transport management, transport economics, or a related field.
• Candidates from adjacent fields may be considered provided that their dissertation topic, publications, courses taught, and professional experience relate to transport logistics, supply chain management, intelligent transport systems, digital logistics, or logistics data analysis.
• 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 how freight and passenger transport is organized and of traffic and logistics flow management, with the ability to teach the corresponding subjects at a contemporary methodological level.
• Expertise in route planning, the management of transport and logistics centers, and supply chain logistics, with the ability to teach students the relevant methods of analysis and design.
• Professional competence in using digital technologies to manage logistics information and transport services.
• Knowledge of national legislation and regulatory requirements governing transport services and logistics.

Additional Competencies

• Supply Chain Analytics: Python, SQL, Power BI and/or Tableau for analyzing logistics data and key performance indicators.
• Digital Logistics and Logistics 4.0: digital supply chain management platforms, TMS/WMS systems, data integration, and automation of logistics processes.
• Intelligent Transport Systems and Smart Mobility: urban mobility management, traffic flow management, and urban logistics.
• AI in Logistics: machine learning and artificial intelligence for demand forecasting, route optimization, inventory management, and predictive analytics.
• Electric Vehicles and Fleet Analytics: operating electric vehicles in logistics and fleet analytics tools.
• E-Commerce Logistics: last-mile delivery, distribution centers, and digital solutions for e-commerce.
• Blockchain Logistics and Digital Documentation: electronic waybills, digital document workflows, and blockchain solutions in logistics.
• ESG and Green Logistics: green logistics, carbon footprint assessment, ESG reporting, and sustainable management of transport and logistics 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.