Research Engineer in AI-Assisted Surface Water Dynamics Analysis Part-time

Research Engineer in AI-Assisted Surface Water Dynamics Analysis

The main objective of the project is to quantify changes in both the spatial extent and depth of surface water over time. The project focuses on developing a scalable and efficient system for real-time monitoring of changes in water bodies on a global scale.

By combining advanced remote sensing techniques—including optical satellite imagery and radar data—with modern methods in deep learning, computer vision, and transfer learning, we aim to develop an innovative solution for analyzing water-related changes. This approach enables the estimation of water extent and level dynamics with high accuracy and rapid response times.

The developed system will provide a practical and scalable solution for continuous monitoring of surface water, which is of great importance for water resource management and sustainable development.

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence.
• A BSc or MSc degree (or equivalent international degree), obtained before the start date
• Documented experience in remote sensing, GIS platforms (e.g., ArcGIS, QGIS), and geospatial data processing Experience in spatial modeling
• Strong programming skills in at least one high-level language (e.g., Python)
• Experience in machine learning and deep learning
• Demonstrated research ability, preferably through publications
• Strong analytical and problem-solving skills
• Ability to work both independently and collaboratively in a research team
• Excellent command of English, both written and spoken, as this will be required in day-to-day work

Preferred qualifications

• Practical experience in remote sensing and GIS for mapping, image processing, or terrain analysis
• Experience working with spatial and temporal data Knowledge of modeling tools and programming (e.g., Python)
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal skills.

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