Research Engineer in Geospatial Analysis & Socio-Ecological Modeling Full-time NEW

Research Engineer in Geospatial Analysis & Socio-Ecological Modeling

We are seeking a motivated and skilled Research Engineer with strong expertise in geospatial analysis and spatial socio-ecological modelling to support a multidisciplinary project. The project “AI-Driven Sustainable Spatial Planning: Advancing Climate-Neutral Cities through Digital Innovation” aims to improve an AI-powered decision-support tool for reducing emissions in cities.

The successful candidate will play a key role in model development in Python. This involves improving and linking existing models written in different programming languages, finding, evaluating and processing data, implementing various techniques within machine learning and AI, and using GIS tools to verify and present results. The ability to integrate environmental data across multiple spatial and temporal scales will be crucial.

The role involves not only technical programming, but also requires the candidate to understand the model's real-world context and make decisions accordingly. The ideal candidate has a strong technical background and is willing to study and apply a variety of concepts within the modelling environment: potential topics range from nature-based solutions to traffic or flood simulation and LLMs. The candidate is also expected to contribute to writing and publishing scientific articles on the model and related topics.

Qualifications

Requirements

• A graduate degree or an advanced level (higher education) in the research subject or equivalent competence.
• A BSc or MSc degree or an equivalent foreign degree obtained prior to the position start date (With some exceptions for special reasons such as periods of sick or parental leave, kindly indicate if such reason exists in your resume).
• Strong skills and experience with GIS platforms (e.g., ArcGIS, QGIS) and spatial data processing.
• A strong foundation in at least one common high-level programming language (e.g., Python).
• Skills and experience in Machine Learning.
• A publication track record that clearly reflects the ability to conduct and publish research.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively in a research team.
• An excellent command of written and spoken English, as this will be required in day-to-day work.

Preferred qualifications

• Hands-on experience with GIS platforms (QGIS, ArcGIS) and spatial data for land use mapping, terrain analysis, or similar topics.
• Experience with modelling tools and programming skills (e.g., Python) for spatial and temporal data integration is an advantage.
• Awareness of diversity and equal opportunity issues, with specific focus on gender equality

Great emphasis will be placed on personal skills.