{"schemaVersion":"jobsearcher.job.v1","id":"6fde19fda227dcc169c4b0d6","url":"https://jobsearcher.com/jobs/6fde19fda227dcc169c4b0d6","canonicalUrl":"https://jobsearcher.com/jobs/6fde19fda227dcc169c4b0d6","title":"Master thesis program","description":"MASTER'S THESIS RESEARCHER – EARTH OBSERVATION & AIEarthTech-AI | Master's Thesis / Research InternshipBuild the next generation of Earth intelligence.EarthTech-AI is building AI-powered geospatial intelligence systems that combine satellite imagery, environmental data, weather data and machine learning to understand changes happening on Earth.We are looking for a Master's student who wants to conduct their thesis on a real-world Earth observation and AI problem while working closely with our technical team.This is an opportunity to take an academic research question from satellite data → experimentation → validation → working prototype.THE ROLEAs a Master's Thesis Researcher, you will work on an applied research problem in Earth observation, remote sensing, geospatial AI or environmental intelligence.Potential research areas include:• Multimodal satellite intelligence • Wildfire detection and monitoring • Agricultural crop monitoring • Crop stress and yield estimation • Flood and waterlogging detection • Environmental change detection • Multi-sensor satellite data fusion • Satellite-based risk intelligence • Geospatial foundation models • Remote sensing + machine learning • Satellite imagery + weather data analyticsWHAT YOU WILL DO• Define and investigate a research question relevant to EarthTech-AI • Conduct literature review and establish the research gap • Work with Sentinel, Landsat, MODIS, VIIRS and other Earth observation datasets • Process optical, multispectral, thermal and/or SAR imagery • Build geospatial data pipelines and analytical workflows • Develop and evaluate machine-learning or deep-learning approaches • Combine satellite imagery with weather, terrain and environmental datasets • Design experiments and establish appropriate validation methods • Analyse results and document findings • Develop a research prototype demonstrating the approach • Present findings to the EarthTech-AI technical team • Produce a Master's thesis suitable for academic evaluationWHO WE ARE LOOKING FOR• Currently pursuing a Master's degree in Remote Sensing, Geoinformatics, GIS, Earth Observation, Aerospace Engineering, Computer Science, Artificial Intelligence, Data Science, Environmental Science, Earth Sciences or a related field • Strong interest in Earth observation and geospatial technology • Understanding of remote sensing fundamentals • Python programming experience • Familiarity with raster and vector geospatial data • Experience with QGIS, ArcGIS or equivalent • Ability to conduct independent technical research • Strong analytical and problem-solving skills • Ability to communicate technical findings clearlyGOOD TO HAVE• Rasterio, GeoPandas, GDAL, Shapely • Sentinel-1 / Sentinel-2 • Landsat / MODIS / VIIRS • SAR or thermal remote sensing • NDVI, NDWI, NBR and other spectral indices • PyTorch or TensorFlow • Computer vision • Transformers / foundation models • Time-series analysis • AWS or Google Cloud • Git/GitHub • Previous satellite or geospatial research projectWHAT YOU WILL GET• A real-world research problem rather than a purely academic exercise • Access to relevant Earth observation and geospatial datasets • Technical mentorship from an industry team • Exposure to satellite applications, AI and geospatial product development • Opportunity to develop a research prototype • Opportunity to contribute to EarthTech-AI's products and research • Potential opportunity for future employment based on performance and company requirementsTHESIS STRUCTUREResearch Question → Literature → Satellite Data → Methodology → AI/Analytics → Validation → Results → Prototype → ThesisThe university will remain responsible for academic supervision and assessment. EarthTech-AI will provide the industry problem, technical context and industry mentorship.Remote/hybrid arrangements may be considered depending on the thesis requirements and project.HOW TO APPLYPlease send:• CV • University and Master's programme • Expected thesis start date and duration • Area of research interest • Previous satellite, geospatial or AI project • GitHub or portfolio, if available • Brief description of the problem you would like to investigateSubject: Master's Thesis – Earth Observation & AIEarthTech-AIBuilding intelligence from Earth observation.","company":"Earthtechai","rawCompany":"earthtechai","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-28T09:47:22.336Z","occupations":[{"code":"19-2099.01","title":"Remote Sensing Scientists and Technologists","slug":"remote-sensing-scientists-and-technologists"},{"code":"19-4099.03","title":"Remote Sensing Technicians","slug":"remote-sensing-technicians"},{"code":"15-1299.02","title":"Geographic Information Systems Technologists and Technicians","slug":"geographic-information-systems-technologists-and-technicians"}],"industries":[{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"927110","title":"Space Research and Technology","slug":"space-research-and-technology"},{"code":"611310","title":"Colleges, Universities, and Professional Schools","slug":"colleges-universities-and-professional-schools"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Master thesis program","description":"MASTER'S THESIS RESEARCHER – EARTH OBSERVATION & AIEarthTech-AI | Master's Thesis / Research InternshipBuild the next generation of Earth intelligence.EarthTech-AI is building AI-powered geospatial intelligence systems that combine satellite imagery, environmental data, weather data and machine learning to understand changes happening on Earth.We are looking for a Master's student who wants to conduct their thesis on a real-world Earth observation and AI problem while working closely with our technical team.This is an opportunity to take an academic research question from satellite data → experimentation → validation → working prototype.THE ROLEAs a Master's Thesis Researcher, you will work on an applied research problem in Earth observation, remote sensing, geospatial AI or environmental intelligence.Potential research areas include:• Multimodal satellite intelligence • Wildfire detection and monitoring • Agricultural crop monitoring • Crop stress and yield estimation • Flood and waterlogging detection • Environmental change detection • Multi-sensor satellite data fusion • Satellite-based risk intelligence • Geospatial foundation models • Remote sensing + machine learning • Satellite imagery + weather data analyticsWHAT YOU WILL DO• Define and investigate a research question relevant to EarthTech-AI • Conduct literature review and establish the research gap • Work with Sentinel, Landsat, MODIS, VIIRS and other Earth observation datasets • Process optical, multispectral, thermal and/or SAR imagery • Build geospatial data pipelines and analytical workflows • Develop and evaluate machine-learning or deep-learning approaches • Combine satellite imagery with weather, terrain and environmental datasets • Design experiments and establish appropriate validation methods • Analyse results and document findings • Develop a research prototype demonstrating the approach • Present findings to the EarthTech-AI technical team • Produce a Master's thesis suitable for academic evaluationWHO WE ARE LOOKING FOR• Currently pursuing a Master's degree in Remote Sensing, Geoinformatics, GIS, Earth Observation, Aerospace Engineering, Computer Science, Artificial Intelligence, Data Science, Environmental Science, Earth Sciences or a related field • Strong interest in Earth observation and geospatial technology • Understanding of remote sensing fundamentals • Python programming experience • Familiarity with raster and vector geospatial data • Experience with QGIS, ArcGIS or equivalent • Ability to conduct independent technical research • Strong analytical and problem-solving skills • Ability to communicate technical findings clearlyGOOD TO HAVE• Rasterio, GeoPandas, GDAL, Shapely • Sentinel-1 / Sentinel-2 • Landsat / MODIS / VIIRS • SAR or thermal remote sensing • NDVI, NDWI, NBR and other spectral indices • PyTorch or TensorFlow • Computer vision • Transformers / foundation models • Time-series analysis • AWS or Google Cloud • Git/GitHub • Previous satellite or geospatial research projectWHAT YOU WILL GET• A real-world research problem rather than a purely academic exercise • Access to relevant Earth observation and geospatial datasets • Technical mentorship from an industry team • Exposure to satellite applications, AI and geospatial product development • Opportunity to develop a research prototype • Opportunity to contribute to EarthTech-AI's products and research • Potential opportunity for future employment based on performance and company requirementsTHESIS STRUCTUREResearch Question → Literature → Satellite Data → Methodology → AI/Analytics → Validation → Results → Prototype → ThesisThe university will remain responsible for academic supervision and assessment. EarthTech-AI will provide the industry problem, technical context and industry mentorship.Remote/hybrid arrangements may be considered depending on the thesis requirements and project.HOW TO APPLYPlease send:• CV • University and Master's programme • Expected thesis start date and duration • Area of research interest • Previous satellite, geospatial or AI project • GitHub or portfolio, if available • Brief description of the problem you would like to investigateSubject: Master's Thesis – Earth Observation & AIEarthTech-AIBuilding intelligence from Earth observation.","datePosted":"2026-09-28T09:47:22.336Z","dateModified":"2026-09-28T09:47:22.336Z","hiringOrganization":{"@type":"Organization","name":"Earthtechai","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6fde19fda227dcc169c4b0d6"},"url":"https://jobsearcher.com/jobs/6fde19fda227dcc169c4b0d6"}}