Koenraad Van Meerbeek

The sGlobe lab at KU Leuven, in collaboration with the Research Institute Nature and Forest (INBO), invites applications for a fully funded PhD position focused on fire-resilient landscapes under climate change. The project, part of the MicroChange initiative, aims to understand how land management and landscape design influence wildfire risk and post-fire ecosystem resilience, ultimately developing science-based tools to support land managers in creating fire-resilient landscapes. The sGlobe lab is renowned for its research on the effects of global change on biodiversity and terrestrial ecosystem functioning, utilizing big data, advanced modelling, fieldwork, and drone imagery. INBO, a Flemish government research institute, specializes in biodiversity and environmental monitoring, employing innovative techniques such as remote sensing and eDNA analysis. The successful candidate will join a dynamic, international team and collaborate closely with both institutions. This PhD project will investigate how land management practices and landscape characteristics affect wildfire behaviour and ecosystem recovery. The research combines landscape ecology, fire ecology, geospatial analysis, ecological modelling, machine learning, remote sensing, and stakeholder engagement. Key tasks include integrating data from fire-prone landscapes into a geospatial database, applying statistical and machine learning methods to assess wildfire risk, and conducting field monitoring to evaluate ecosystem health and recovery post-fire. Satellite-based analyses will complement fieldwork to identify factors promoting ecosystem resilience. The position offers extensive training in ecological modelling, GIS, remote sensing, field ecology, and stakeholder co-creation. The candidate will contribute to the development of decision-support tools for land and nature managers, enabling evidence-based evaluation of management options such as prescribed burning, vegetation management, and restoration planting. The project is highly interdisciplinary, involving collaboration with ecologists, remote sensing specialists, fire scientists, land managers, and policymakers. Applicants must hold or expect to obtain a relevant MSc degree (e.g., Ecology, Biology, Environmental Sciences, Physical Geography), have excellent grades, a strong interest in biodiversity and conservation, experience in terrestrial ecology and ecological modelling, programming skills (e.g., R), and proficiency in English. The position is based in Leuven, Belgium, with close collaboration with INBO in Brussels. The fellowship is for four years, with a competitive salary, ecocheques, commuting benefits, holidays, and bonuses. The preferred start date is November 2026. To apply, send your CV and application letter (including your project approach and at least one reference) to Prof. Koenraad Van Meerbeek at [email protected] by 30 July 2026. Interviews will be held in August 2026. For more information, visit www.sglobelab.com or KU Leuven Earth and Environmental Sciences .

The sGlobe lab at KU Leuven, in collaboration with PXL BIO-Research, invites applications for a fully funded PhD position as part of the FireRisk project: “High-Resolution Mapping Fuel Loads, Fuel Moisture and Microclimates for Next-Generation Wildfire Risk Assessment.” This interdisciplinary project aims to develop advanced fire weather products by integrating ecological field measurements, drone and airborne LiDAR, satellite remote sensing, and artificial intelligence to create near-real-time, high-resolution maps of fuel loads, live fuel moisture content, microclimate conditions, and fire weather indices across Flanders. The successful candidate will join the division Forest, Nature and Landscape at KU Leuven, working within a dynamic team of ecologists, remote sensing specialists, fire scientists, and AI researchers. The sGlobe lab focuses on understanding the effects of global change on biodiversity and terrestrial ecosystem functioning, using big data, state-of-the-art modelling, fieldwork, and drone imagery. PXL BIO-Research contributes expertise in risk management, ecosystem modelling, and UAV-based fuel type modelling. The PhD research will address three main themes: (1) mapping fuel loads across landscapes using airborne and UAV LiDAR, field inventories, and satellite imagery, leveraging deep learning (CNNs) to upscale local measurements; (2) quantifying and predicting live fuel moisture content (LFMC) by combining field data, Sentinel-1 and Sentinel-2 imagery, topographic variables, and advanced machine learning, including multimodal foundation models for Earth observation; (3) developing high-resolution models of microclimate temperature and humidity using logger networks, UAV-derived data, weather observations, and satellite imagery, with AI-based models to predict local conditions and integrate them into fire weather indices like FWI and HDWI. The project involves intensive fieldwork, drone-based data collection, geospatial analysis, machine learning, remote sensing, and ecological modelling. The resulting workflows and datasets will support improved wildfire forecasting and decision-support tools for land managers and policymakers. The candidate will have access to state-of-the-art UAV platforms, LiDAR systems, high-performance computing, and environmental monitoring networks. The position offers a full-time PhD fellowship for 4 years, with a competitive salary according to KU Leuven scales, ecocheques, bicycle and allowance or full reimbursement of public transport for commuting, holidays, and bonuses. The preferred start date is November 2026. The successful candidate will be based in Leuven, Belgium. Applicants must hold or expect to obtain an MSc degree in a relevant field (e.g., Ecology, Biology, Bioscience Engineering, Environmental Sciences, Physical Geography, Remote Sensing) by the start date, have excellent grades, a strong interest in biodiversity and ecosystem functioning, background in terrestrial ecology and ecological modelling, solid programming skills (e.g., R), experience with remote sensing and spatial data analysis, and fluency in English. Interest in UAVs is an asset. Strong communication and teamwork skills are required. To apply, send your CV and application letter (including your approach to the project and at least one reference) to Prof. Koenraad Van Meerbeek at [email protected] by 30 July 2026. Selected candidates will be notified for interview in mid-August, with interviews held at the end of August 2026. For more information, visit www.sglobelab.com or contact Dr. Sam Ottoy at [email protected].

PhD vacancy in Fire-Resilient Landscapes under Climate Change: Linking Land Management, Wildfire Risk and Ecosystem Recovery at KU Leuven , within the Division of Forest, Nature and Landscape (FNL) , the sGlobe lab , and in collaboration with PXL BIO-Research / INBO . This PhD is part of the FireRisk project and focuses on understanding how land management and landscape design influence wildfire risk and post-fire ecosystem resilience . The project combines landscape ecology , ecology , geospatial analysis , remote sensing , GIS , ecological modelling , machine learning , and stakeholder engagement. The broader project also includes work on fuel loads, fuel moisture, microclimate conditions, and fire weather indices for improved wildfire risk assessment. The successful candidate will investigate how land management practices, vegetation, soils, topography, and human land use shape wildfire behaviour and recovery after fire. Field monitoring, satellite-based analyses, harmonized geospatial databases, and predictive modelling tools such as Random Forest and XGBoost are mentioned as part of the research approach. The project aims to support land managers, policymakers, and first responders with decision-support tools for climate adaptation and wildfire management. Eligibility highlights: MSc in a relevant field (e.g. Ecology, Biology, Bioscience Engineering, Environmental Sciences, Physical Geography, or related discipline), strong grades, background in terrestrial ecology and ecological modelling, programming skills (e.g. R), fieldwork and spatial data analysis experience, and fluent English. Funding: full-time PhD fellowship for 4 years, with salary according to KU Leuven assistant scales and additional benefits such as ecocheques and commuting support. Deadline: 30 July 2026. Interviews are planned for end of August 2026, with selection notification in mid-August 2026. How to apply: email your CV and application letter to [email protected] . Include a short description of how you would approach the project and at least one reference.