Head of the School of Remote Sensing and Artificial Intelligence

School description

Описание школы

The School of Remote Sensing and Artificial Intelligence integrates advanced digital technologies with environmental and water sciences to improve monitoring, forecasting, and decision-making.

The School's mission is to harness satellite, geospatial, and AI technologies to address critical challenges in water management, natural resource allocation, and disaster risk reduction.

Key academic and research areas

• Satellite-based mapping and monitoring of surface and groundwater resources
• Machine learning and AI for flood, drought, and snowmelt prediction
• Development of AI-driven decision-support systems for water allocation and risk management
• Real-time geospatial analytics for emergency response and environmental monitoring
• Integration of digital twins, IoT, and cloud computing for smart water systems

Responsibilities

• Lead academic programme development at the intersection of remote sensing, AI, and water sciences;
• Drive the School's research agenda in satellite monitoring, machine learning for hydrological forecasting, and AI-driven decision support;
• Build strategic partnerships with technology companies, space agencies, national research centres, and international digital innovation programmes;
• Recruit and support academic staff with expertise in data science, geoinformatics, and environmental AI;
• Ensure educational programmes are current, rigorous, and responsive to the evolving digital landscape;
• Manage the School's budget, infrastructure, and strategic planning;
• Represent the School in university governance and in external technology and research networks.

Requirements

• Doctoral degree (PhD or equivalent) in remote sensing, geoinformatics, computer science, or a related field;
• Strong academic and research record with expertise in AI applications, geospatial analytics, or environmental modeling;
• Demonstrated leadership and management experience in academia or applied research institutions;
• Familiarity with GIS, remote sensing platforms, machine learning tools, and data-driven water management systems;
• Excellent communication, organizational, and teamwork skills;
• Proficiency in English; knowledge of Kazakh and/or Russian is an advantage.

Advantages

• Experience in international research collaborations or technology innovation programs;
• Record of research funding and project coordination in digital water or environmental informatics;
• Vision for advancing AI and digital transformation in water management education and research.

Selection process

• Applications are reviewed on receipt; the position remains open until filled;
• Shortlisted candidates will be invited to an interview

Documents

• A letter of application (up to 2 pages) outlining the candidate's vision for the School's development and their leadership philosophy;
• A full Curriculum Vitae including education, employment history, publications, funded projects, and professional activities;
• Copies of academic degrees and relevant certificates (originals to be provided upon appointment);
• A list of key publications and research projects (last 5 years);
• Contact details of at least two professional referees