12842 - Early Career Researcher in Urban Climate Monitoring and Geospatial Analysis

ppbCMCC Position cod. 12842 /b /p pbEarly Career Researcher in Urban Climate Monitoring and Geospatial Analysis /b Deadline: October 21st, 2026 /p h3WHAT WE ARE LOOKING FOR /h3 pAre you ready to join a dynamic and interdisciplinary team where your expertise in geospatial analysis and Earth Observation can directly contribute to understanding urban climate and supporting climate adaptation in cities? We are looking for a highly motivated and well-organized bEarly Career Researcher in Urban Climate Monitoring and Geospatial Analysis /b with a background in bgeomatics, remote sensing, geoinformatics, environmental or earth sciences, engineering, or related fields, and a demonstrated interest in urban climate, climate change impacts, and the use of geospatial data to support adaptation. /b /p pThe ideal candidate is developing experience in the bprocessing and analysis of satellite and geospatial data for the characterisation of urban thermal conditions, with a particular focus on land surface temperature, surface urban heat island, land cover and land use dynamics, and their interaction with urban morphology and green infrastructure. The position requires the ability to move from raw Earth Observation data to consistent, validated, and decision-relevant indicators for urban areas. /b /p pThe candidate should demonstrate familiarity with bGIS environments and spatial analysis /b, with the processing of multispectral and thermal satellite imagery, and with approaches for validating satellite-derived products against in-situ observations. bInitial experience in the development of reproducible geospatial workflows, in image classification, or in the construction of spatial indicators for urban areas will be highly valued. /b /p pAn understanding of how geospatial evidence feeds into urban climate risk assessment, adaptation planning, and the design of heat mitigation measures is particularly relevant. The candidate should be able to work across disciplines, connecting remote sensing, urban climate, and climate services. Familiarity with programming for geospatial data analysis (preferably Python), machine learning applied to Earth Observation, climate model or reanalysis data, and high-resolution urban datasets is considered an asset. Strong analytical and organizational skills, accuracy in data handling, the ability to manage multiple priorities, and proactive engagement with interdisciplinary teams and external partners are highly valued. /p h3ABOUT US /h3 pCMCC Foundation is a cross-cutting scientific research center on climate change and its interactions with the environment, society, the world of business, and policymakers. Our work aims to stimulate sustainable growth, protect the environment, and develop strategies for the adaptation and mitigation of climate change. CMCC's core objective is to conduct cutting-edge science, to train the next generation of scientists at both national and international levels, and to be a beacon for climate modelling. /p pCMCC pursues fundamental and applied science with utmost scientific integrity, prioritizing data-driven science and providing data, information, and research results that can support informed public debate and decision-making processes. To achieve climate research objectives at the highest international standards, we invest in training all our talents and strive to create a workplace where everyone can excel. /p pAt CMCC you will find a strong, professional environment. Join an inclusive community that values diversity, where every voice is heard and respected. Help foster a culture of innovation and societal change, where individuals from all backgrounds can thrive and succeed. /p pOver the last decade, CMCC has experienced extraordinary growth. We are now embarking on a new chapter of our journey that will further boost CMCC’s global position in climate change research…Together! /p h3ROLE /h3 pThe Early Career Researcher will be part of the REMHI Division - Regional Models and geo-Hydrological Impacts, reporting to the Division Director, and will contribute to research and innovation activities focused on urban climate monitoring, Earth Observation, and geospatial analysis in support of climate adaptation in urban areas. /p pThe role focuses on the use of satellite and geospatial data to characterise urban thermal conditions and their drivers, supporting the development of methodologies, indicators, and datasets for the assessment of surface urban heat island, land cover dynamics, and the cooling potential of green and blue infrastructure. The Early Career Researcher will contribute to activities related to Earth Observation data processing, land surface temperature retrieval and validation, land cover classification, and the construction of spatial indicators, helping turn satellite-derived information into evidence usable in urban climate risk assessment and adaptation activities. /p pThe Early Career Researcher will be involved in European research and innovation projects, including Horizon Europe initiatives, as well as in collaborations with national authorities, regional and local public administrations, and other institutional stakeholders, contributing to the development and application of geospatial approaches for urban climate analysis and adaptation. /p h3RESPONSIBILITIES /h3 ul liSupport the acquisition, pre-processing, and harmonisation of satellite and geospatial datasets for urban areas, including multispectral and thermal imagery from missions such as Landsat, Sentinel, and MODIS; /li liContribute to the retrieval, quality assessment, and analysis of land surface temperature and surface urban heat island indicators, including the assessment of methodological choices and their effect on results; /li liSupport land cover and land use classification and change analysis, and the assessment of how land cover configuration, urban morphology, and vegetation influence urban thermal conditions; /li liContribute to the validation and comparison of satellite-derived products against in-situ observations, reanalysis, and other reference datasets; /li liSupport the development of reproducible geospatial workflows and processing chains, preferably in Python, and contribute to the organisation and documentation of geospatial databases; /li liContribute to the definition and computation of spatial indicators for urban climate and heat exposure, at the spatial scales relevant to planning and adaptation; /li liSupport the analysis of heat mitigation and adaptation options, including the cooling potential of green and blue infrastructure and nature-based solutions; /li liContribute to the integration of Earth Observation evidence with climate projections and urban climate risk assessments developed within the Division; /li liProduce maps, geospatial datasets, figures, and visualisations for scientific and technical use, and for communication to public authorities and non-specialist audiences; /li liSupport the preparation of technical reports, project deliverables, scientific publications, presentations, and other knowledge-transfer activities, and collaborate with interdisciplinary teams across climate science, urban planning, engineering, and digital technologies. /li /ul h3REQUIREMENTS /h3 ul liMSc / Laurea Magistrale in Geomatics, Geoinformatics, Remote Sensing, Geographical or Environmental Sciences, Earth Sciences, Environmental or Civil Engineering, Physics, or a related discipline. Candidates at an advanced stage of a doctoral programme in a relevant field (with the thesis submitted or close to completion) are particularly encouraged to apply; /li liResearch or professional experience in GIS and spatial analysis, with proficiency in QGIS and/or ArcGIS, including raster and vector data processing, georeferencing, and cartographic production; /li liExperience in the processing of satellite imagery and Earth Observation data, including multispectral and thermal data, and in land cover classification; /li liKnowledge of urban climate processes, with particular reference to urban heat island, land surface temperature, and the role of land cover and vegetation in urban thermal regimes; /li liProgramming skills for geospatial data analysis and workflow automation, preferably in Python; /li liAbility to handle large and heterogeneous spatial datasets with accuracy, and to document and reproduce processing workflows; /li liExperience with machine learning applied to image classification or with the validation of satellite products against in-situ measurements is considered an asset; /li liFamiliarity with climate model output, reanalysis, or climate projection data, and with their use in urban climate applications, is considered an asset; /li liExperience with European or international research projects (e.g. Horizon Europe) and/or a track record of scientific publications in remote sensing, geomatics, or urban climate is considered an asset; /li liGood knowledge of English (at least B2 level), with the ability to work and write in an international research environment; strong analytical, organizational, and teamwork skills. /li /ul h3DURATION, COMPENSATION BENEFITS /h3 ul liPlease note that this opportunity will be issued both internally and externally. /li liThe Early Career Researcher will be based in the CMCC office in Caserta. /li liThe contract offered for this position will be a Coordinated and Continuous Collaboration contract, starting from November 2nd, 2026 and lasting for 12 months. /li liThe position is initially part-time, with an indicative commitment of three days per week, ideally to be carried out on site at the Caserta office to ensure effective coordination with the research team. A subsequent full-time engagement at a more senior level may be envisaged, subject to the availability of funding and to a new selection procedure. /li liThe gross salary range for this position, expressed on a full-time annual basis, is 17,000-24,000 Euros. /li liFlexible working time as per internal policies. /li liSupport during the immigration process, if needed. /li /ul h3PROTECTED CATEGORY /h3 pBelonging to legally protected categories (ex L. 68/99) will constitute a preferential condition. /p pSome fiscal benefits could be applied for repatriated workers or foreign researchers/professors, having the requirements defined by Dlgs 147/2015 (for repatriates) or Dl 78/2010 (for foreigners). /p pCMCC is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, age, familial status, and other legally protected characteristics. Please omit from your CV any data you or we might consider discriminatory. /p pApplicants responding to this posting declare that they have read, understood and agreed to the b“Official Rule for the CMCC Personnel recruitment” /b. /p pWe will keep your information on file for up to 1 year. /p /p #J-18808-Ljbffr